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class="articles-number" data-v-575455fb>2736 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://ojphi.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>Online Journal of Public Health Informatics</span> <span class="articles-number" data-v-575455fb>1719 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://publichealth.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIR Public Health and Surveillance</span> <span class="articles-number" data-v-575455fb>1644 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://medinform.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIR Medical Informatics</span> <span class="articles-number" data-v-575455fb>1409 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://mental.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIR Mental Health</span> <span class="articles-number" data-v-575455fb>1076 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://humanfactors.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIR Human Factors</span> <span class="articles-number" data-v-575455fb>803 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://games.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIR Serious Games</span> <span class="articles-number" data-v-575455fb>635 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://mededu.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIR Medical Education</span> <span class="articles-number" data-v-575455fb>556 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://www.iproc.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>Iproceedings</span> <span class="articles-number" data-v-575455fb>510 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://aging.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIR Aging</span> <span class="articles-number" data-v-575455fb>436 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://www.i-jmr.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>Interactive Journal of Medical Research</span> <span class="articles-number" data-v-575455fb>433 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://xmed.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIRx Med</span> <span class="articles-number" data-v-575455fb>420 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://pediatrics.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIR Pediatrics and Parenting</span> <span class="articles-number" data-v-575455fb>406 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://cancer.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIR Cancer</span> <span class="articles-number" data-v-575455fb>386 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://derma.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIR Dermatology</span> <span class="articles-number" data-v-575455fb>308 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://diabetes.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIR Diabetes</span> <span class="articles-number" data-v-575455fb>268 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://rehab.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIR Rehabilitation and Assistive Technologies</span> <span class="articles-number" data-v-575455fb>263 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://cardio.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIR Cardio</span> <span class="articles-number" data-v-575455fb>198 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://infodemiology.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIR Infodemiology</span> <span class="articles-number" data-v-575455fb>150 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://ai.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIR AI</span> <span class="articles-number" data-v-575455fb>119 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://periop.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIR Perioperative Medicine</span> <span class="articles-number" data-v-575455fb>115 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://nursing.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIR Nursing</span> <span class="articles-number" data-v-575455fb>114 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://jopm.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>Journal of Participatory Medicine</span> <span class="articles-number" data-v-575455fb>98 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://biomedeng.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIR Biomedical Engineering</span> <span class="articles-number" data-v-575455fb>92 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://bioinform.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIR Bioinformatics and Biotechnology</span> <span class="articles-number" data-v-575455fb>51 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://www.medicine20.com" no-prefetch="" data-v-575455fb><span data-v-575455fb>Medicine 2.0</span> <span class="articles-number" data-v-575455fb>26 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://apinj.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>Asian/Pacific Island Nursing Journal</span> <span class="articles-number" data-v-575455fb>25 articles </span></a></li><li class="m-0" data-v-575455fb><a href="/" aria-current="page" class="nuxt-link-exact-active nuxt-link-active" data-v-575455fb><span data-v-575455fb>JMIR Neurotechnology</span> <span class="articles-number" data-v-575455fb>24 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://xbio.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIRx Bio</span> <span class="articles-number" data-v-575455fb>22 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://xr.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIR XR and Spatial Computing (JMXR)</span> <span class="articles-number" data-v-575455fb>18 articles </span></a></li><li class="m-0" data-v-575455fb><a href="https://data.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIR Data</span> </a></li><li class="m-0" data-v-575455fb><a href="https://challenges.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIR Challenges</span> </a></li><li class="m-0" data-v-575455fb><a href="https://preprints.jmir.org" no-prefetch="" data-v-575455fb><span data-v-575455fb>JMIR Preprints</span> </a></li></ul></li></ul></div></section> </nav></div></nav></section></header></div> <div class="container-fluid" style="padding: 0px;"><div id="main-content" class="element-wrapper" data-v-88946f80><section class="journal__info-wrapper" data-v-88946f80><div class="container journal__info" data-v-88946f80><div class="row"><div class="col-12"><div class="journal__info-top"><h1 tabindex="0" aria-label="JMIR Neurotechnology journal" class="journal__info-h1"> JMIR Neurotechnology </h1> <h4><p><strong>The intersection between clinical neuroscience and technology to prevent, diagnose, and treat neurological disorders.</strong></p></h4> <p class="d-inline-block journal__info-p"><span> Editor-in-Chief: </span> <span><strong class="editor-in-chief"><p>Pieter Kubben, MD, PhD, Neurosurgeon, Maastricht University Medical Center, Netherlands</p></strong></span> <br>  </p> <div class="journal__info-decription hide-description"><span><p>JMIR Neurotechnology is a premier, open-access journal indexed in Sherpa/Romeo, DOAJ and EBSCO/EBSCO Essentials. The journal opens a space for the publication of research exploring how technologies (e.g. information technology, neural engineering, neural interfacing, clinical data science, robotics, eHealth/mHealth) can be applied in clinical neuroscience (e.g., neurology, neurosurgery, neuroradiology) to prevent, diagnose, and treat neurological disorders. The journal also aims to serve patients, caregivers, and others challenged by neurological disorders by supporting deeply translational medicine, stimulating connections from<em> byte to bedside</em>.</p> <blockquote> <p><em>"Neurotechnology can ameliorate or even eliminate some of the impairments that come with neurological disorders, by helping the patients to regain lost functions and participate in society, while reducing the cost of healthcare."</em> - Prof. Dr. Pieter Roelfsema, Director of the Netherlands Institute for Neuroscience</p> </blockquote></span></div> <button class="btn btn-medium btn-blue mt-3" style="margin-bottom: 30px;"><span>Read </span> <span>More</span></button></div></div></div></div>   </section> <main data-v-88946f80><div data-v-30c6e183 data-v-88946f80><section class="articles-wrapper" data-v-30c6e183><h2 id="recent-articles" tabindex="0" aria-label="Recent Articles" class="text-center" data-v-30c6e183> Recent Articles </h2> <div class="green-underline" data-v-30c6e183></div> <div data-test="recent-articles-container" class="container" data-v-30c6e183><div class="cards" data-v-30c6e183><div aria-label="Card containing the image, related theme, title, short preview, date posted, shareable links and altmetric score" class="card mb-80" data-v-30c6e183><div class="card-header" data-v-30c6e183><div class="card-img" data-v-30c6e183><div data-v-10f10a3e data-v-30c6e183><img data-srcset="https://asset.jmir.pub/assets/829a3401aee132404b87db39a8497eee.png 480w,https://asset.jmir.pub/assets/829a3401aee132404b87db39a8497eee.png 960w,https://asset.jmir.pub/assets/829a3401aee132404b87db39a8497eee.png 1920w,https://asset.jmir.pub/assets/829a3401aee132404b87db39a8497eee.png 2500w" alt="Article Thumbnail" title="Investigation of Study Procedures to Estimate Sensitivity and Reliability of a Virtual Physical Assessment Developed for Workplace Concussions: Method-Comparison Feasibility Study" aria-label="Article Thumbnail" src="https://asset.jmir.pub/placeholder.svg" data-v-10f10a3e></div> <div tabindex="0" role="button" aria-label="Open modal window to view the image" data-test="card-img-info" class="card-img-info" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-search-plus" data-v-30c6e183></span></div></div></div> <div class="card-body mt-15" data-v-30c6e183><a href="/themes/1470" aria-label="Open theme with Neurotech Innovations, Diagnostic Tools and Techniques" class="link card-theme" data-v-30c6e183> Neurotech Innovations, Diagnostic Tools and Techniques </a> <div class="card-title" style="flex-grow: 1;" data-v-30c6e183><a href="/2024/1/e57661" data-test="card-title" aria-label="Investigation of Study Procedures to Estimate Sensitivity and Reliability of a Virtual Physical Assessment Developed for Workplace Concussions: Method-Comparison Feasibility Study" title="Investigation of Study Procedures to Estimate Sensitivity and Reliability of a Virtual Physical Assessment Developed for Workplace Concussions: Method-Comparison Feasibility Study" class="h5" data-v-30c6e183> Investigation of Study Procedures to Estimate Sensitivity and Reliability of a Virtual Physical Assessment Developed for Workplace Concussions: Method-Comparison Feasibility Study </a></div> <div class="card-info mt-20 mb-20" data-v-30c6e183><p class="card-info-text" data-v-30c6e183><span data-v-30c6e183>Virtual approaches to workplace concussion assessment have demonstrated value to end users. The feasibility of administering physical concussion assessment measures in a virtual context has been minimally explored and there is limited information on important psychometric properties of physical assessment measures used in virtual contexts.</span></p> <div class="read-more" data-v-30c6e183><a href="/2024/1/e57661" aria-label="Continue reading this article" class="continue-reading" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-long-arrow-alt-right" data-v-30c6e183></span></a></div></div></div> <div class="card-date-social mt-6 pb-10" data-v-30c6e183><time datetime="2024-11-27" class="mb-0" style="margin-top: 2px;" data-v-30c6e183>2024-11-27 </time> <span class="mx-1" style="margin-top: 2px;" data-v-30c6e183>|</span> <span class="sm-icons" data-v-30c6e183><a title="share-on-Bluesky" href="" aria-label="Share this item on Bluesky" data-test="bluesky-button" rel="noreferrer" target="_blank" class="bluesky small"></a> <a title="share-on-Twitter" href="https://neuro.jmir.org/2024/1/e57661?text=Check out this fascinating article by @jmirpub!" aria-label="Share this item on Twitter" data-test="twitter-button" rel="noreferrer" target="_blank" class="twitter small"></a> <a title="share-on-Facebook" href="https://neuro.jmir.org/2024/1/e57661?quote=Check out this fascinating article by @jmirpub!" aria-label="Share this item on Facebook" data-test="facebook-button" rel="noreferrer" target="_blank" class="facebook small"></a> <a title="Linkedin" href="https://www.linkedin.com/sharing/share-offsite/?url=https://neuro.jmir.org/2024/1/e57661" aria-label="Share this item on Linkedin" data-test="linkedin-button" rel="noreferrer" target="_blank" class="linkedin small"></a></span> <span class="card-altmetric" data-v-30c6e183><div data-doi="10.2196/57661" data-test="altmetric-link" data-badge-type="2" data-hide-no-mentions="true" data-badge-popover="bottom" class="altmetric-embed" data-v-30c6e183></div></span></div> <a href="#open-peer-review" class="skip-link" data-v-30c6e183>Skip recent articles and go to articles open for peer-review section <span aria-hidden="true" class="icon fas fa-chevron-down" data-v-30c6e183></span></a></div><div aria-label="Card containing the image, related theme, title, short preview, date posted, shareable links and altmetric score" class="card mb-80" data-v-30c6e183><div class="card-header" data-v-30c6e183><div class="card-img" data-v-30c6e183><div data-v-10f10a3e data-v-30c6e183><img data-srcset="https://asset.jmir.pub/assets/5856b764b44f51060727619b7ae605f5.png 480w,https://asset.jmir.pub/assets/5856b764b44f51060727619b7ae605f5.png 960w,https://asset.jmir.pub/assets/5856b764b44f51060727619b7ae605f5.png 1920w,https://asset.jmir.pub/assets/5856b764b44f51060727619b7ae605f5.png 2500w" alt="Article Thumbnail" title="Twenty-Five Years of AI in Neurology: The Journey of Predictive Medicine and Biological Breakthroughs" aria-label="Article Thumbnail" src="https://asset.jmir.pub/placeholder.svg" data-v-10f10a3e></div> <div tabindex="0" role="button" aria-label="Open modal window to view the image" data-test="card-img-info" class="card-img-info" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-search-plus" data-v-30c6e183></span></div></div></div> <div class="card-body mt-15" data-v-30c6e183><a href="/themes/1235" aria-label="Open theme with Viewpoints in Neurotechnology" class="link card-theme" data-v-30c6e183> Viewpoints in Neurotechnology </a> <div class="card-title" style="flex-grow: 1;" data-v-30c6e183><a href="/2024/1/e59556" data-test="card-title" aria-label="Twenty-Five Years of AI in Neurology: The Journey of Predictive Medicine and Biological Breakthroughs" title="Twenty-Five Years of AI in Neurology: The Journey of Predictive Medicine and Biological Breakthroughs" class="h5" data-v-30c6e183> Twenty-Five Years of AI in Neurology: The Journey of Predictive Medicine and Biological Breakthroughs </a></div> <div class="card-info mt-20 mb-20" data-v-30c6e183><p class="card-info-text" data-v-30c6e183><span data-v-30c6e183>Neurological disorders are the leading cause of physical and cognitive disability across the globe, currently affecting up to 15% of the world population, with the burden of chronic neurodegenerative diseases having doubled over the last 2 decades. Two decades ago, neurologists relying solely on clinical signs and basic imaging faced challenges in diagnosis and treatment. Today, the integration of artificial intelligence (AI) and bioinformatic methods is changing this landscape. This paper explores this transformative journey, emphasizing the critical role of AI in neurology, aiming to integrate a multitude of methods and thereby enhance the field of neurology. Over the past 25 years, integrating biomedical data science into medicine, particularly neurology, has fundamentally transformed how we understand, diagnose, and treat neurological diseases. Advances in genomics sequencing, the introduction of new imaging methods, the discovery of novel molecular biomarkers for nervous system function, a comprehensive understanding of immunology and neuroimmunology shaping disease subtypes, and the advent of advanced electrophysiological recording methods, alongside the digitalization of medical records and the rise of AI, all led to an unparalleled surge in data within neurology. In addition, telemedicine and web-based interactive health platforms, accelerated by the COVID-19 pandemic, have become integral to neurology practice. The real-world impact of these advancements is evident, with AI-driven analysis of imaging and genetic data leading to earlier and more accurate diagnoses of conditions such as multiple sclerosis, Parkinson disease, amyotrophic lateral sclerosis, Alzheimer disease, and more. Neuroinformatics is the key component connecting all these advances. By harnessing the power of IT and computational methods to efficiently organize, analyze, and interpret vast datasets, we can extract meaningful insights from complex neurological data, contributing to a deeper understanding of the intricate workings of the brain. In this paper, we describe the large-scale datasets that have emerged in neurology over the last 25 years and showcase the major advancements made by integrating these datasets with advanced neuroinformatic approaches for the diagnosis and treatment of neurological disorders. We further discuss challenges in integrating AI into neurology, including ethical considerations in data use, the need for further personalization of treatment, and embracing new emerging technologies like quantum computing. These developments are shaping a future where neurological care is more precise, accessible, and tailored to individual patient needs. We believe further advancements in AI will bridge traditional medical disciplines and cutting-edge technology, navigating the complexities of neurological data and steering medicine toward a future of more precise, accessible, and patient-centric health care.</span></p> <div class="read-more" data-v-30c6e183><a href="/2024/1/e59556" aria-label="Continue reading this article" class="continue-reading" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-long-arrow-alt-right" data-v-30c6e183></span></a></div></div></div> <div class="card-date-social mt-6 pb-10" data-v-30c6e183><time datetime="2024-11-08" class="mb-0" style="margin-top: 2px;" data-v-30c6e183>2024-11-08 </time> <span class="mx-1" style="margin-top: 2px;" data-v-30c6e183>|</span> <span class="sm-icons" data-v-30c6e183><a title="share-on-Bluesky" href="" aria-label="Share this item on Bluesky" data-test="bluesky-button" rel="noreferrer" target="_blank" class="bluesky small"></a> <a title="share-on-Twitter" href="https://neuro.jmir.org/2024/1/e59556?text=Check out this fascinating article by @jmirpub!" aria-label="Share this item on Twitter" data-test="twitter-button" rel="noreferrer" target="_blank" class="twitter small"></a> <a title="share-on-Facebook" href="https://neuro.jmir.org/2024/1/e59556?quote=Check out this fascinating article by @jmirpub!" aria-label="Share this item on Facebook" data-test="facebook-button" rel="noreferrer" target="_blank" class="facebook small"></a> <a title="Linkedin" href="https://www.linkedin.com/sharing/share-offsite/?url=https://neuro.jmir.org/2024/1/e59556" aria-label="Share this item on Linkedin" data-test="linkedin-button" rel="noreferrer" target="_blank" class="linkedin small"></a></span> <span class="card-altmetric" data-v-30c6e183><div data-doi="10.2196/59556" data-test="altmetric-link" data-badge-type="2" data-hide-no-mentions="true" data-badge-popover="bottom" class="altmetric-embed" data-v-30c6e183></div></span></div> <a href="#open-peer-review" class="skip-link" data-v-30c6e183>Skip recent articles and go to articles open for peer-review section <span aria-hidden="true" class="icon fas fa-chevron-down" data-v-30c6e183></span></a></div><div aria-label="Card containing the image, related theme, title, short preview, date posted, shareable links and altmetric score" class="card mb-80" data-v-30c6e183><div class="card-header" data-v-30c6e183><div class="card-img" data-v-30c6e183><div data-v-10f10a3e data-v-30c6e183><img data-srcset="https://asset.jmir.pub/assets/a1c85d0f1be03487d71d8a74027caf28.png 480w,https://asset.jmir.pub/assets/a1c85d0f1be03487d71d8a74027caf28.png 960w,https://asset.jmir.pub/assets/a1c85d0f1be03487d71d8a74027caf28.png 1920w,https://asset.jmir.pub/assets/a1c85d0f1be03487d71d8a74027caf28.png 2500w" alt="Article Thumbnail" title="Validity of a Smartphone App to Objectively Monitor Performance Outcomes in Degenerative Cervical Myelopathy: Preliminary Findings From a Longitudinal Observational Study" aria-label="Article Thumbnail" src="https://asset.jmir.pub/placeholder.svg" data-v-10f10a3e></div> <div tabindex="0" role="button" aria-label="Open modal window to view the image" data-test="card-img-info" class="card-img-info" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-search-plus" data-v-30c6e183></span></div></div></div> <div class="card-body mt-15" data-v-30c6e183><a href="/themes/1470" aria-label="Open theme with Neurotech Innovations, Diagnostic Tools and Techniques" class="link card-theme" data-v-30c6e183> Neurotech Innovations, Diagnostic Tools and Techniques </a> <div class="card-title" style="flex-grow: 1;" data-v-30c6e183><a href="/2024/1/e52832" data-test="card-title" aria-label="Validity of a Smartphone App to Objectively Monitor Performance Outcomes in Degenerative Cervical Myelopathy: Preliminary Findings From a Longitudinal Observational Study" title="Validity of a Smartphone App to Objectively Monitor Performance Outcomes in Degenerative Cervical Myelopathy: Preliminary Findings From a Longitudinal Observational Study" class="h5" data-v-30c6e183> Validity of a Smartphone App to Objectively Monitor Performance Outcomes in Degenerative Cervical Myelopathy: Preliminary Findings From a Longitudinal Observational Study </a></div> <div class="card-info mt-20 mb-20" data-v-30c6e183><p class="card-info-text" data-v-30c6e183><span data-v-30c6e183>Developing new clinical measures for degenerative cervical myelopathy (DCM) is an AO Spine RECODE-DCM research priority. Difficulties detecting DCM, and changes in DCM, cause diagnostic and treatment delays in clinical settings and heightened costs in clinical trials due to elevated recruitment targets. Digital outcome measures can tackle these challenges due to their ability to measure disease remotely, repeatedly, and more economically.</span></p> <div class="read-more" data-v-30c6e183><a href="/2024/1/e52832" aria-label="Continue reading this article" class="continue-reading" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-long-arrow-alt-right" data-v-30c6e183></span></a></div></div></div> <div class="card-date-social mt-6 pb-10" data-v-30c6e183><time datetime="2024-09-09" class="mb-0" style="margin-top: 2px;" data-v-30c6e183>2024-09-09 </time> <span class="mx-1" style="margin-top: 2px;" data-v-30c6e183>|</span> <span class="sm-icons" data-v-30c6e183><a title="share-on-Bluesky" href="" aria-label="Share this item on Bluesky" data-test="bluesky-button" rel="noreferrer" target="_blank" class="bluesky small"></a> <a title="share-on-Twitter" href="https://neuro.jmir.org/2024/1/e52832?text=Check out this fascinating article by @jmirpub!" aria-label="Share this item on Twitter" data-test="twitter-button" rel="noreferrer" target="_blank" class="twitter small"></a> <a title="share-on-Facebook" href="https://neuro.jmir.org/2024/1/e52832?quote=Check out this fascinating article by @jmirpub!" aria-label="Share this item on Facebook" data-test="facebook-button" rel="noreferrer" target="_blank" class="facebook small"></a> <a title="Linkedin" href="https://www.linkedin.com/sharing/share-offsite/?url=https://neuro.jmir.org/2024/1/e52832" aria-label="Share this item on Linkedin" data-test="linkedin-button" rel="noreferrer" target="_blank" class="linkedin small"></a></span> <span class="card-altmetric" data-v-30c6e183><div data-doi="10.2196/52832" data-test="altmetric-link" data-badge-type="2" data-hide-no-mentions="true" data-badge-popover="bottom" class="altmetric-embed" data-v-30c6e183></div></span></div> <a href="#open-peer-review" class="skip-link" data-v-30c6e183>Skip recent articles and go to articles open for peer-review section <span aria-hidden="true" class="icon fas fa-chevron-down" data-v-30c6e183></span></a></div><div aria-label="Card containing the image, related theme, title, short preview, date posted, shareable links and altmetric score" class="card mb-80" data-v-30c6e183><div class="card-header" data-v-30c6e183><div class="card-img" data-v-30c6e183><div data-v-10f10a3e data-v-30c6e183><img data-srcset="https://asset.jmir.pub/assets/b32860112dce8a61e3fc68261a0ca679.png 480w,https://asset.jmir.pub/assets/b32860112dce8a61e3fc68261a0ca679.png 960w,https://asset.jmir.pub/assets/b32860112dce8a61e3fc68261a0ca679.png 1920w,https://asset.jmir.pub/assets/b32860112dce8a61e3fc68261a0ca679.png 2500w" alt="Article Thumbnail" title="Ethics and Governance of Neurotechnology in Africa: Lessons From AI" aria-label="Article Thumbnail" src="https://asset.jmir.pub/placeholder.svg" data-v-10f10a3e></div> <div tabindex="0" role="button" aria-label="Open modal window to view the image" data-test="card-img-info" class="card-img-info" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-search-plus" data-v-30c6e183></span></div></div></div> <div class="card-body mt-15" data-v-30c6e183><a href="/themes/1235" aria-label="Open theme with Viewpoints in Neurotechnology" class="link card-theme" data-v-30c6e183> Viewpoints in Neurotechnology </a> <div class="card-title" style="flex-grow: 1;" data-v-30c6e183><a href="/2024/1/e56665" data-test="card-title" aria-label="Ethics and Governance of Neurotechnology in Africa: Lessons From AI" title="Ethics and Governance of Neurotechnology in Africa: Lessons From AI" class="h5" data-v-30c6e183> Ethics and Governance of Neurotechnology in Africa: Lessons From AI </a></div> <div class="card-info mt-20 mb-20" data-v-30c6e183><p class="card-info-text" data-v-30c6e183><span data-v-30c6e183>As a novel technology frontier, neurotechnology is revolutionizing our perceptions of the brain and nervous system. With growing private and public investments, a thriving ecosystem of direct-to-consumer neurotechnologies has also emerged. These technologies are increasingly being introduced in many parts of the world, including Africa. However, as the use of this technology expands, neuroethics and ethics of emerging technology scholars are bringing attention to the critical concerns it raises. These concerns are largely not new but are uniquely amplified by the novelty of technology. They include ethical and legal issues such as privacy, human rights, human identity, bias, autonomy, and safety, which are part of the artificial intelligence ethics discourse. Most importantly, there is an obvious lack of regulatory oversight and a dearth of literature on the consideration of contextual ethical principles in the design and application of neurotechnology in Africa. This paper highlights lessons African stakeholders need to learn from the ethics and governance of artificial intelligence to ensure the design of ethically responsible and socially acceptable neurotechnology in and for Africa.</span></p> <div class="read-more" data-v-30c6e183><a href="/2024/1/e56665" aria-label="Continue reading this article" class="continue-reading" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-long-arrow-alt-right" data-v-30c6e183></span></a></div></div></div> <div class="card-date-social mt-6 pb-10" data-v-30c6e183><time datetime="2024-08-29" class="mb-0" style="margin-top: 2px;" data-v-30c6e183>2024-08-29 </time> <span class="mx-1" style="margin-top: 2px;" data-v-30c6e183>|</span> <span class="sm-icons" data-v-30c6e183><a title="share-on-Bluesky" href="" aria-label="Share this item on Bluesky" data-test="bluesky-button" rel="noreferrer" target="_blank" class="bluesky small"></a> <a title="share-on-Twitter" href="https://neuro.jmir.org/2024/1/e56665?text=Check out this fascinating article by @jmirpub!" aria-label="Share this item on Twitter" data-test="twitter-button" rel="noreferrer" target="_blank" class="twitter small"></a> <a title="share-on-Facebook" href="https://neuro.jmir.org/2024/1/e56665?quote=Check out this fascinating article by @jmirpub!" aria-label="Share this item on Facebook" data-test="facebook-button" rel="noreferrer" target="_blank" class="facebook small"></a> <a title="Linkedin" href="https://www.linkedin.com/sharing/share-offsite/?url=https://neuro.jmir.org/2024/1/e56665" aria-label="Share this item on Linkedin" data-test="linkedin-button" rel="noreferrer" target="_blank" class="linkedin small"></a></span> <span class="card-altmetric" data-v-30c6e183><div data-doi="10.2196/56665" data-test="altmetric-link" data-badge-type="2" data-hide-no-mentions="true" data-badge-popover="bottom" class="altmetric-embed" data-v-30c6e183></div></span></div> <a href="#open-peer-review" class="skip-link" data-v-30c6e183>Skip recent articles and go to articles open for peer-review section <span aria-hidden="true" class="icon fas fa-chevron-down" data-v-30c6e183></span></a></div><div aria-label="Card containing the image, related theme, title, short preview, date posted, shareable links and altmetric score" class="card mb-80" data-v-30c6e183><div class="card-header" data-v-30c6e183><div class="card-img" data-v-30c6e183><div data-v-10f10a3e data-v-30c6e183><img data-srcset="https://asset.jmir.pub/assets/06dc7cb350b7f9f1e76359bd0e21d34d.png 480w,https://asset.jmir.pub/assets/06dc7cb350b7f9f1e76359bd0e21d34d.png 960w,https://asset.jmir.pub/assets/06dc7cb350b7f9f1e76359bd0e21d34d.png 1920w,https://asset.jmir.pub/assets/06dc7cb350b7f9f1e76359bd0e21d34d.png 2500w" alt="Article Thumbnail" title="Assessing the Role of the Autonomic Nervous System as a Driver of Sleep Quality in Patients With Multiple Sclerosis: Observation Study" aria-label="Article Thumbnail" src="https://asset.jmir.pub/placeholder.svg" data-v-10f10a3e></div> <div tabindex="0" role="button" aria-label="Open modal window to view the image" data-test="card-img-info" class="card-img-info" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-search-plus" data-v-30c6e183></span></div></div></div> <div class="card-body mt-15" data-v-30c6e183><a href="/themes/1264" aria-label="Open theme with Neurotechnology in Clinical Studies" class="link card-theme" data-v-30c6e183> Neurotechnology in Clinical Studies </a> <div class="card-title" style="flex-grow: 1;" data-v-30c6e183><a href="/2024/1/e48148" data-test="card-title" aria-label="Assessing the Role of the Autonomic Nervous System as a Driver of Sleep Quality in Patients With Multiple Sclerosis: Observation Study" title="Assessing the Role of the Autonomic Nervous System as a Driver of Sleep Quality in Patients With Multiple Sclerosis: Observation Study" class="h5" data-v-30c6e183> Assessing the Role of the Autonomic Nervous System as a Driver of Sleep Quality in Patients With Multiple Sclerosis: Observation Study </a></div> <div class="card-info mt-20 mb-20" data-v-30c6e183><p class="card-info-text" data-v-30c6e183><span data-v-30c6e183>Low sleep quality is a common symptom of multiple sclerosis (MS) and substantially decreases patients’ quality of life. The autonomic nervous system (ANS) is crucial to healthy sleep, and the transition from wake to sleep produces the largest shift in autonomic activity we experience every day. For patients with MS, the ANS is often impaired. The relationship between the ANS and perceived sleep quality in patients with MS remains elusive.</span></p> <div class="read-more" data-v-30c6e183><a href="/2024/1/e48148" aria-label="Continue reading this article" class="continue-reading" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-long-arrow-alt-right" data-v-30c6e183></span></a></div></div></div> <div class="card-date-social mt-6 pb-10" data-v-30c6e183><time datetime="2024-08-21" class="mb-0" style="margin-top: 2px;" data-v-30c6e183>2024-08-21 </time> <span class="mx-1" style="margin-top: 2px;" data-v-30c6e183>|</span> <span class="sm-icons" data-v-30c6e183><a title="share-on-Bluesky" href="" aria-label="Share this item on Bluesky" data-test="bluesky-button" rel="noreferrer" target="_blank" class="bluesky small"></a> <a title="share-on-Twitter" href="https://neuro.jmir.org/2024/1/e48148?text=Check out this fascinating article by @jmirpub!" aria-label="Share this item on Twitter" data-test="twitter-button" rel="noreferrer" target="_blank" class="twitter small"></a> <a title="share-on-Facebook" href="https://neuro.jmir.org/2024/1/e48148?quote=Check out this fascinating article by @jmirpub!" aria-label="Share this item on Facebook" data-test="facebook-button" rel="noreferrer" target="_blank" class="facebook small"></a> <a title="Linkedin" href="https://www.linkedin.com/sharing/share-offsite/?url=https://neuro.jmir.org/2024/1/e48148" aria-label="Share this item on Linkedin" data-test="linkedin-button" rel="noreferrer" target="_blank" class="linkedin small"></a></span> <span class="card-altmetric" data-v-30c6e183><div data-doi="10.2196/48148" data-test="altmetric-link" data-badge-type="2" data-hide-no-mentions="true" data-badge-popover="bottom" class="altmetric-embed" data-v-30c6e183></div></span></div> <a href="#open-peer-review" class="skip-link" data-v-30c6e183>Skip recent articles and go to articles open for peer-review section <span aria-hidden="true" class="icon fas fa-chevron-down" data-v-30c6e183></span></a></div><div aria-label="Card containing the image, related theme, title, short preview, date posted, shareable links and altmetric score" class="card mb-80" data-v-30c6e183><div class="card-header" data-v-30c6e183><div class="card-img" data-v-30c6e183><div data-v-10f10a3e data-v-30c6e183><img data-srcset="https://asset.jmir.pub/assets/d107c2d543dc52a8edac48dfa18d78f6.png 480w,https://asset.jmir.pub/assets/d107c2d543dc52a8edac48dfa18d78f6.png 960w,https://asset.jmir.pub/assets/d107c2d543dc52a8edac48dfa18d78f6.png 1920w,https://asset.jmir.pub/assets/d107c2d543dc52a8edac48dfa18d78f6.png 2500w" alt="Article Thumbnail" title="Technology-Enabled Recreation and Leisure Programs and Activities for Older Adults With Cognitive Impairment: Rapid Scoping Review" aria-label="Article Thumbnail" src="https://asset.jmir.pub/placeholder.svg" data-v-10f10a3e></div> <div tabindex="0" role="button" aria-label="Open modal window to view the image" data-test="card-img-info" class="card-img-info" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-search-plus" data-v-30c6e183></span></div></div></div> <div class="card-body mt-15" data-v-30c6e183><a href="/themes/1213" aria-label="Open theme with Reviews in Neurotechnology" class="link card-theme" data-v-30c6e183> Reviews in Neurotechnology </a> <div class="card-title" style="flex-grow: 1;" data-v-30c6e183><a href="/2024/1/e53038" data-test="card-title" aria-label="Technology-Enabled Recreation and Leisure Programs and Activities for Older Adults With Cognitive Impairment: Rapid Scoping Review" title="Technology-Enabled Recreation and Leisure Programs and Activities for Older Adults With Cognitive Impairment: Rapid Scoping Review" class="h5" data-v-30c6e183> Technology-Enabled Recreation and Leisure Programs and Activities for Older Adults With Cognitive Impairment: Rapid Scoping Review </a></div> <div class="card-info mt-20 mb-20" data-v-30c6e183><p class="card-info-text" data-v-30c6e183><span data-v-30c6e183>Recreational and leisure activities significantly contribute to the well-being of older adults, positively impacting physical, cognitive, and mental health. However, limited mobility and cognitive decline often impede access to these activities, particularly for individuals living with dementia. With the increasing availability of digital technologies, there is a rising interest in using technology to deliver recreation and leisure activities for cognitively impaired individuals, acknowledging its potential to provide diverse experiences. The COVID-19 pandemic further highlighted the need for virtual program delivery, especially for individuals in long-term care settings, leading to the development of tools like the Dementia Isolation Toolkit aimed at supporting compassionate isolation. To better support future implementations of the DIT, our rapid scoping review explores evidence-based, technology-enabled recreation programs for older adults with cognitive impairments, which promote well-being.</span></p> <div class="read-more" data-v-30c6e183><a href="/2024/1/e53038" aria-label="Continue reading this article" class="continue-reading" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-long-arrow-alt-right" data-v-30c6e183></span></a></div></div></div> <div class="card-date-social mt-6 pb-10" data-v-30c6e183><time datetime="2024-08-08" class="mb-0" style="margin-top: 2px;" data-v-30c6e183>2024-08-08 </time> <span class="mx-1" style="margin-top: 2px;" data-v-30c6e183>|</span> <span class="sm-icons" data-v-30c6e183><a title="share-on-Bluesky" href="" aria-label="Share this item on Bluesky" data-test="bluesky-button" rel="noreferrer" target="_blank" class="bluesky small"></a> <a title="share-on-Twitter" href="https://neuro.jmir.org/2024/1/e53038?text=Check out this fascinating article by @jmirpub!" aria-label="Share this item on Twitter" data-test="twitter-button" rel="noreferrer" target="_blank" class="twitter small"></a> <a title="share-on-Facebook" href="https://neuro.jmir.org/2024/1/e53038?quote=Check out this fascinating article by @jmirpub!" aria-label="Share this item on Facebook" data-test="facebook-button" rel="noreferrer" target="_blank" class="facebook small"></a> <a title="Linkedin" href="https://www.linkedin.com/sharing/share-offsite/?url=https://neuro.jmir.org/2024/1/e53038" aria-label="Share this item on Linkedin" data-test="linkedin-button" rel="noreferrer" target="_blank" class="linkedin small"></a></span> <span class="card-altmetric" data-v-30c6e183><div data-doi="10.2196/53038" data-test="altmetric-link" data-badge-type="2" data-hide-no-mentions="true" data-badge-popover="bottom" class="altmetric-embed" data-v-30c6e183></div></span></div> <a href="#open-peer-review" class="skip-link" data-v-30c6e183>Skip recent articles and go to articles open for peer-review section <span aria-hidden="true" class="icon fas fa-chevron-down" data-v-30c6e183></span></a></div><div aria-label="Card containing the image, related theme, title, short preview, date posted, shareable links and altmetric score" class="card mb-80" data-v-30c6e183><div class="card-header" data-v-30c6e183><div class="card-img" data-v-30c6e183><div data-v-10f10a3e data-v-30c6e183><img data-srcset="https://asset.jmir.pub/assets/3622e639f6e201f22e23c9c634543a51.png 480w,https://asset.jmir.pub/assets/3622e639f6e201f22e23c9c634543a51.png 960w,https://asset.jmir.pub/assets/3622e639f6e201f22e23c9c634543a51.png 1920w,https://asset.jmir.pub/assets/3622e639f6e201f22e23c9c634543a51.png 2500w" alt="Article Thumbnail" title="Invasive Brain-Computer Interfaces: A Critical Assessment of Current Developments and Future Prospects" aria-label="Article Thumbnail" src="https://asset.jmir.pub/placeholder.svg" data-v-10f10a3e></div> <div tabindex="0" role="button" aria-label="Open modal window to view the image" data-test="card-img-info" class="card-img-info" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-search-plus" data-v-30c6e183></span></div></div></div> <div class="card-body mt-15" data-v-30c6e183><a href="/themes/1555" aria-label="Open theme with Theme Issue 2024: Brain-Computer Interfaces (BCIs)" class="link card-theme" data-v-30c6e183> Theme Issue 2024: Brain-Computer Interfaces (BCIs) </a> <div class="card-title" style="flex-grow: 1;" data-v-30c6e183><a href="/2024/1/e60151" data-test="card-title" aria-label="Invasive Brain-Computer Interfaces: A Critical Assessment of Current Developments and Future Prospects" title="Invasive Brain-Computer Interfaces: A Critical Assessment of Current Developments and Future Prospects" class="h5" data-v-30c6e183> Invasive Brain-Computer Interfaces: A Critical Assessment of Current Developments and Future Prospects </a></div> <div class="card-info mt-20 mb-20" data-v-30c6e183><p class="card-info-text" data-v-30c6e183><span data-v-30c6e183>Invasive brain-computer interfaces (BCIs) are gaining attention for their transformative potential in human-machine interaction. These devices, which connect directly to the brain, could revolutionize medical therapies and augmentative technologies. This viewpoint examines recent advancements, weighs benefits against risks, and explores ethical and regulatory considerations for the future of invasive BCIs.</span></p> <div class="read-more" data-v-30c6e183><a href="/2024/1/e60151" aria-label="Continue reading this article" class="continue-reading" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-long-arrow-alt-right" data-v-30c6e183></span></a></div></div></div> <div class="card-date-social mt-6 pb-10" data-v-30c6e183><time datetime="2024-07-19" class="mb-0" style="margin-top: 2px;" data-v-30c6e183>2024-07-19 </time> <span class="mx-1" style="margin-top: 2px;" data-v-30c6e183>|</span> <span class="sm-icons" data-v-30c6e183><a title="share-on-Bluesky" href="" aria-label="Share this item on Bluesky" data-test="bluesky-button" rel="noreferrer" target="_blank" class="bluesky small"></a> <a title="share-on-Twitter" href="https://neuro.jmir.org/2024/1/e60151?text=Check out this fascinating article by @jmirpub!" aria-label="Share this item on Twitter" data-test="twitter-button" rel="noreferrer" target="_blank" class="twitter small"></a> <a title="share-on-Facebook" href="https://neuro.jmir.org/2024/1/e60151?quote=Check out this fascinating article by @jmirpub!" aria-label="Share this item on Facebook" data-test="facebook-button" rel="noreferrer" target="_blank" class="facebook small"></a> <a title="Linkedin" href="https://www.linkedin.com/sharing/share-offsite/?url=https://neuro.jmir.org/2024/1/e60151" aria-label="Share this item on Linkedin" data-test="linkedin-button" rel="noreferrer" target="_blank" class="linkedin small"></a></span> <span class="card-altmetric" data-v-30c6e183><div data-doi="10.2196/60151" data-test="altmetric-link" data-badge-type="2" data-hide-no-mentions="true" data-badge-popover="bottom" class="altmetric-embed" data-v-30c6e183></div></span></div> <a href="#open-peer-review" class="skip-link" data-v-30c6e183>Skip recent articles and go to articles open for peer-review section <span aria-hidden="true" class="icon fas fa-chevron-down" data-v-30c6e183></span></a></div><div aria-label="Card containing the image, related theme, title, short preview, date posted, shareable links and altmetric score" class="card mb-80" data-v-30c6e183><div class="card-header" data-v-30c6e183><div class="card-img" data-v-30c6e183><div data-v-10f10a3e data-v-30c6e183><img data-srcset="https://asset.jmir.pub/assets/35e3808471fc6f03fd2803a6578aba05.png 480w,https://asset.jmir.pub/assets/35e3808471fc6f03fd2803a6578aba05.png 960w,https://asset.jmir.pub/assets/35e3808471fc6f03fd2803a6578aba05.png 1920w,https://asset.jmir.pub/assets/35e3808471fc6f03fd2803a6578aba05.png 2500w" alt="Article Thumbnail" title="Smartphone Pupillometry and Machine Learning for Detection of Acute Mild Traumatic Brain Injury: Cohort Study" aria-label="Article Thumbnail" src="https://asset.jmir.pub/placeholder.svg" data-v-10f10a3e></div> <div tabindex="0" role="button" aria-label="Open modal window to view the image" data-test="card-img-info" class="card-img-info" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-search-plus" data-v-30c6e183></span></div></div></div> <div class="card-body mt-15" data-v-30c6e183><a href="/themes/1470" aria-label="Open theme with Neurotech Innovations, Diagnostic Tools and Techniques" class="link card-theme" data-v-30c6e183> Neurotech Innovations, Diagnostic Tools and Techniques </a> <div class="card-title" style="flex-grow: 1;" data-v-30c6e183><a href="/2024/1/e58398" data-test="card-title" aria-label="Smartphone Pupillometry and Machine Learning for Detection of Acute Mild Traumatic Brain Injury: Cohort Study" title="Smartphone Pupillometry and Machine Learning for Detection of Acute Mild Traumatic Brain Injury: Cohort Study" class="h5" data-v-30c6e183> Smartphone Pupillometry and Machine Learning for Detection of Acute Mild Traumatic Brain Injury: Cohort Study </a></div> <div class="card-info mt-20 mb-20" data-v-30c6e183><p class="card-info-text" data-v-30c6e183><span data-v-30c6e183>Quantitative pupillometry is used in mild traumatic brain injury (mTBI) with changes in pupil reactivity noted after blast injury, chronic mTBI, and sports-related concussion.</span></p> <div class="read-more" data-v-30c6e183><a href="/2024/1/e58398" aria-label="Continue reading this article" class="continue-reading" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-long-arrow-alt-right" data-v-30c6e183></span></a></div></div></div> <div class="card-date-social mt-6 pb-10" data-v-30c6e183><time datetime="2024-06-13" class="mb-0" style="margin-top: 2px;" data-v-30c6e183>2024-06-13 </time> <span class="mx-1" style="margin-top: 2px;" data-v-30c6e183>|</span> <span class="sm-icons" data-v-30c6e183><a title="share-on-Bluesky" href="" aria-label="Share this item on Bluesky" data-test="bluesky-button" rel="noreferrer" target="_blank" class="bluesky small"></a> <a title="share-on-Twitter" href="https://neuro.jmir.org/2024/1/e58398?text=Check out this fascinating article by @jmirpub!" aria-label="Share this item on Twitter" data-test="twitter-button" rel="noreferrer" target="_blank" class="twitter small"></a> <a title="share-on-Facebook" href="https://neuro.jmir.org/2024/1/e58398?quote=Check out this fascinating article by @jmirpub!" aria-label="Share this item on Facebook" data-test="facebook-button" rel="noreferrer" target="_blank" class="facebook small"></a> <a title="Linkedin" href="https://www.linkedin.com/sharing/share-offsite/?url=https://neuro.jmir.org/2024/1/e58398" aria-label="Share this item on Linkedin" data-test="linkedin-button" rel="noreferrer" target="_blank" class="linkedin small"></a></span> <span class="card-altmetric" data-v-30c6e183><div data-doi="10.2196/58398" data-test="altmetric-link" data-badge-type="2" data-hide-no-mentions="true" data-badge-popover="bottom" class="altmetric-embed" data-v-30c6e183></div></span></div> <a href="#open-peer-review" class="skip-link" data-v-30c6e183>Skip recent articles and go to articles open for peer-review section <span aria-hidden="true" class="icon fas fa-chevron-down" data-v-30c6e183></span></a></div><div aria-label="Card containing the image, related theme, title, short preview, date posted, shareable links and altmetric score" class="card mb-80" data-v-30c6e183><div class="card-header" data-v-30c6e183><div class="card-img" data-v-30c6e183><div data-v-10f10a3e data-v-30c6e183><img data-srcset="https://asset.jmir.pub/assets/92d91f88ddb727d190767f7247b60cd4.png 480w,https://asset.jmir.pub/assets/92d91f88ddb727d190767f7247b60cd4.png 960w,https://asset.jmir.pub/assets/92d91f88ddb727d190767f7247b60cd4.png 1920w,https://asset.jmir.pub/assets/92d91f88ddb727d190767f7247b60cd4.png 2500w" alt="Article Thumbnail" title="Direct Clinical Applications of Natural Language Processing in Common Neurological Disorders: Scoping Review" aria-label="Article Thumbnail" src="https://asset.jmir.pub/placeholder.svg" data-v-10f10a3e></div> <div tabindex="0" role="button" aria-label="Open modal window to view the image" data-test="card-img-info" class="card-img-info" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-search-plus" data-v-30c6e183></span></div></div></div> <div class="card-body mt-15" data-v-30c6e183><a href="/themes/1469" aria-label="Open theme with AI in Neurotechnology" class="link card-theme" data-v-30c6e183> AI in Neurotechnology </a> <div class="card-title" style="flex-grow: 1;" data-v-30c6e183><a href="/2024/1/e51822" data-test="card-title" aria-label="Direct Clinical Applications of Natural Language Processing in Common Neurological Disorders: Scoping Review" title="Direct Clinical Applications of Natural Language Processing in Common Neurological Disorders: Scoping Review" class="h5" data-v-30c6e183> Direct Clinical Applications of Natural Language Processing in Common Neurological Disorders: Scoping Review </a></div> <div class="card-info mt-20 mb-20" data-v-30c6e183><p class="card-info-text" data-v-30c6e183><span data-v-30c6e183>Natural language processing (NLP), a branch of artificial intelligence that analyzes unstructured language, is being increasingly used in health care. However, the extent to which NLP has been formally studied in neurological disorders remains unclear.</span></p> <div class="read-more" data-v-30c6e183><a href="/2024/1/e51822" aria-label="Continue reading this article" class="continue-reading" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-long-arrow-alt-right" data-v-30c6e183></span></a></div></div></div> <div class="card-date-social mt-6 pb-10" data-v-30c6e183><time datetime="2024-05-22" class="mb-0" style="margin-top: 2px;" data-v-30c6e183>2024-05-22 </time> <span class="mx-1" style="margin-top: 2px;" data-v-30c6e183>|</span> <span class="sm-icons" data-v-30c6e183><a title="share-on-Bluesky" href="" aria-label="Share this item on Bluesky" data-test="bluesky-button" rel="noreferrer" target="_blank" class="bluesky small"></a> <a title="share-on-Twitter" href="https://neuro.jmir.org/2024/1/e51822?text=Check out this fascinating article by @jmirpub!" aria-label="Share this item on Twitter" data-test="twitter-button" rel="noreferrer" target="_blank" class="twitter small"></a> <a title="share-on-Facebook" href="https://neuro.jmir.org/2024/1/e51822?quote=Check out this fascinating article by @jmirpub!" aria-label="Share this item on Facebook" data-test="facebook-button" rel="noreferrer" target="_blank" class="facebook small"></a> <a title="Linkedin" href="https://www.linkedin.com/sharing/share-offsite/?url=https://neuro.jmir.org/2024/1/e51822" aria-label="Share this item on Linkedin" data-test="linkedin-button" rel="noreferrer" target="_blank" class="linkedin small"></a></span> <span class="card-altmetric" data-v-30c6e183><div data-doi="10.2196/51822" data-test="altmetric-link" data-badge-type="2" data-hide-no-mentions="true" data-badge-popover="bottom" class="altmetric-embed" data-v-30c6e183></div></span></div> <a href="#open-peer-review" class="skip-link" data-v-30c6e183>Skip recent articles and go to articles open for peer-review section <span aria-hidden="true" class="icon fas fa-chevron-down" data-v-30c6e183></span></a></div><div aria-label="Card containing the image, related theme, title, short preview, date posted, shareable links and altmetric score" class="card mb-80" data-v-30c6e183><div class="card-header" data-v-30c6e183><div class="card-img" data-v-30c6e183><div data-v-10f10a3e data-v-30c6e183><img data-srcset="https://asset.jmir.pub/assets/96ee68e4cd29210765008560d1e38497.png 480w,https://asset.jmir.pub/assets/96ee68e4cd29210765008560d1e38497.png 960w,https://asset.jmir.pub/assets/96ee68e4cd29210765008560d1e38497.png 1920w,https://asset.jmir.pub/assets/96ee68e4cd29210765008560d1e38497.png 2500w" alt="Article Thumbnail" title="Beyond Audio-Video Telehealth: Perspective on the Current State and Future Directions of Digital Neurological Care in the United States" aria-label="Article Thumbnail" src="https://asset.jmir.pub/placeholder.svg" data-v-10f10a3e></div> <div tabindex="0" role="button" aria-label="Open modal window to view the image" data-test="card-img-info" class="card-img-info" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-search-plus" data-v-30c6e183></span></div></div></div> <div class="card-body mt-15" data-v-30c6e183><a href="/themes/1235" aria-label="Open theme with Viewpoints in Neurotechnology" class="link card-theme" data-v-30c6e183> Viewpoints in Neurotechnology </a> <div class="card-title" style="flex-grow: 1;" data-v-30c6e183><a href="/2024/1/e46736" data-test="card-title" aria-label="Beyond Audio-Video Telehealth: Perspective on the Current State and Future Directions of Digital Neurological Care in the United States" title="Beyond Audio-Video Telehealth: Perspective on the Current State and Future Directions of Digital Neurological Care in the United States" class="h5" data-v-30c6e183> Beyond Audio-Video Telehealth: Perspective on the Current State and Future Directions of Digital Neurological Care in the United States </a></div> <div class="card-info mt-20 mb-20" data-v-30c6e183><p class="card-info-text" data-v-30c6e183><span data-v-30c6e183>The COVID-19 pandemic transformed neurological care by both requiring digital health modalities to reach patients and profoundly lowering barriers to digital health adoption. This combination of factors has given rise to a distinctive, emerging care model in neurology characterized by new technologies, care arrangements, and uncertainties. As the pandemic transitions to an endemic, there is a need to characterize the current and future states of this unique period in neurology.</span></p> <div class="read-more" data-v-30c6e183><a href="/2024/1/e46736" aria-label="Continue reading this article" class="continue-reading" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-long-arrow-alt-right" data-v-30c6e183></span></a></div></div></div> <div class="card-date-social mt-6 pb-10" data-v-30c6e183><time datetime="2024-04-11" class="mb-0" style="margin-top: 2px;" data-v-30c6e183>2024-04-11 </time> <span class="mx-1" style="margin-top: 2px;" data-v-30c6e183>|</span> <span class="sm-icons" data-v-30c6e183><a title="share-on-Bluesky" href="" aria-label="Share this item on Bluesky" data-test="bluesky-button" rel="noreferrer" target="_blank" class="bluesky small"></a> <a title="share-on-Twitter" href="https://neuro.jmir.org/2024/1/e46736?text=Check out this fascinating article by @jmirpub!" aria-label="Share this item on Twitter" data-test="twitter-button" rel="noreferrer" target="_blank" class="twitter small"></a> <a title="share-on-Facebook" href="https://neuro.jmir.org/2024/1/e46736?quote=Check out this fascinating article by @jmirpub!" aria-label="Share this item on Facebook" data-test="facebook-button" rel="noreferrer" target="_blank" class="facebook small"></a> <a title="Linkedin" href="https://www.linkedin.com/sharing/share-offsite/?url=https://neuro.jmir.org/2024/1/e46736" aria-label="Share this item on Linkedin" data-test="linkedin-button" rel="noreferrer" target="_blank" class="linkedin small"></a></span> <span class="card-altmetric" data-v-30c6e183><div data-doi="10.2196/46736" data-test="altmetric-link" data-badge-type="2" data-hide-no-mentions="true" data-badge-popover="bottom" class="altmetric-embed" data-v-30c6e183></div></span></div> <a href="#open-peer-review" class="skip-link" data-v-30c6e183>Skip recent articles and go to articles open for peer-review section <span aria-hidden="true" class="icon fas fa-chevron-down" data-v-30c6e183></span></a></div><div aria-label="Card containing the image, related theme, title, short preview, date posted, shareable links and altmetric score" class="card mb-80" data-v-30c6e183><div class="card-header" data-v-30c6e183><div class="card-img" data-v-30c6e183><div data-v-10f10a3e data-v-30c6e183><img data-srcset="https://asset.jmir.pub/assets/cd2de2dd1726e5ae130bec1883477c76.png 480w,https://asset.jmir.pub/assets/cd2de2dd1726e5ae130bec1883477c76.png 960w,https://asset.jmir.pub/assets/cd2de2dd1726e5ae130bec1883477c76.png 1920w,https://asset.jmir.pub/assets/cd2de2dd1726e5ae130bec1883477c76.png 2500w" alt="Article Thumbnail" title="Virtual Reality–Based Neurorehabilitation Support Tool for People With Cognitive Impairments Resulting From an Acquired Brain Injury: Usability and Feasibility Study" aria-label="Article Thumbnail" src="https://asset.jmir.pub/placeholder.svg" data-v-10f10a3e></div> <div tabindex="0" role="button" aria-label="Open modal window to view the image" data-test="card-img-info" class="card-img-info" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-search-plus" data-v-30c6e183></span></div></div></div> <div class="card-body mt-15" data-v-30c6e183><a href="/themes/1467" aria-label="Open theme with Neurorehabilitation and Technology" class="link card-theme" data-v-30c6e183> Neurorehabilitation and Technology </a> <div class="card-title" style="flex-grow: 1;" data-v-30c6e183><a href="/2024/1/e50538" data-test="card-title" aria-label="Virtual Reality–Based Neurorehabilitation Support Tool for People With Cognitive Impairments Resulting From an Acquired Brain Injury: Usability and Feasibility Study" title="Virtual Reality–Based Neurorehabilitation Support Tool for People With Cognitive Impairments Resulting From an Acquired Brain Injury: Usability and Feasibility Study" class="h5" data-v-30c6e183> Virtual Reality–Based Neurorehabilitation Support Tool for People With Cognitive Impairments Resulting From an Acquired Brain Injury: Usability and Feasibility Study </a></div> <div class="card-info mt-20 mb-20" data-v-30c6e183><p class="card-info-text" data-v-30c6e183><span data-v-30c6e183>Acquired brain injury (ABI) is a prominent cause of disability globally, with virtual reality (VR) emerging as a promising aid in neurorehabilitation. Nonetheless, the diversity among VR interventions can result in inconsistent outcomes and pose challenges in determining efficacy. Recent reviews offer best practice recommendations for designing and implementing therapeutic VR interventions to evaluate the acceptance of fully immersive VR interventions.</span></p> <div class="read-more" data-v-30c6e183><a href="/2024/1/e50538" aria-label="Continue reading this article" class="continue-reading" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-long-arrow-alt-right" data-v-30c6e183></span></a></div></div></div> <div class="card-date-social mt-6 pb-10" data-v-30c6e183><time datetime="2024-03-18" class="mb-0" style="margin-top: 2px;" data-v-30c6e183>2024-03-18 </time> <span class="mx-1" style="margin-top: 2px;" data-v-30c6e183>|</span> <span class="sm-icons" data-v-30c6e183><a title="share-on-Bluesky" href="" aria-label="Share this item on Bluesky" data-test="bluesky-button" rel="noreferrer" target="_blank" class="bluesky small"></a> <a title="share-on-Twitter" href="https://neuro.jmir.org/2024/1/e50538?text=Check out this fascinating article by @jmirpub!" aria-label="Share this item on Twitter" data-test="twitter-button" rel="noreferrer" target="_blank" class="twitter small"></a> <a title="share-on-Facebook" href="https://neuro.jmir.org/2024/1/e50538?quote=Check out this fascinating article by @jmirpub!" aria-label="Share this item on Facebook" data-test="facebook-button" rel="noreferrer" target="_blank" class="facebook small"></a> <a title="Linkedin" href="https://www.linkedin.com/sharing/share-offsite/?url=https://neuro.jmir.org/2024/1/e50538" aria-label="Share this item on Linkedin" data-test="linkedin-button" rel="noreferrer" target="_blank" class="linkedin small"></a></span> <span class="card-altmetric" data-v-30c6e183><div data-doi="10.2196/50538" data-test="altmetric-link" data-badge-type="2" data-hide-no-mentions="true" data-badge-popover="bottom" class="altmetric-embed" data-v-30c6e183></div></span></div> <a href="#open-peer-review" class="skip-link" data-v-30c6e183>Skip recent articles and go to articles open for peer-review section <span aria-hidden="true" class="icon fas fa-chevron-down" data-v-30c6e183></span></a></div><div aria-label="Card containing the image, related theme, title, short preview, date posted, shareable links and altmetric score" class="card mb-80" data-v-30c6e183><div class="card-header" data-v-30c6e183><div class="card-img" data-v-30c6e183><div data-v-10f10a3e data-v-30c6e183><img data-srcset="https://asset.jmir.pub/assets/3e730803a62caf0a755645f2d50c324a.png 480w,https://asset.jmir.pub/assets/3e730803a62caf0a755645f2d50c324a.png 960w,https://asset.jmir.pub/assets/3e730803a62caf0a755645f2d50c324a.png 1920w,https://asset.jmir.pub/assets/3e730803a62caf0a755645f2d50c324a.png 2500w" alt="Article Thumbnail" title="Application of a Low-Cost mHealth Solution for the Remote Monitoring of Patients With Epilepsy: Algorithm Development and Validation" aria-label="Article Thumbnail" src="https://asset.jmir.pub/placeholder.svg" data-v-10f10a3e></div> <div tabindex="0" role="button" aria-label="Open modal window to view the image" data-test="card-img-info" class="card-img-info" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-search-plus" data-v-30c6e183></span></div></div></div> <div class="card-body mt-15" data-v-30c6e183><a href="/themes/1470" aria-label="Open theme with Neurotech Innovations, Diagnostic Tools and Techniques" class="link card-theme" data-v-30c6e183> Neurotech Innovations, Diagnostic Tools and Techniques </a> <div class="card-title" style="flex-grow: 1;" data-v-30c6e183><a href="/2023/1/e50660" data-test="card-title" aria-label="Application of a Low-Cost mHealth Solution for the Remote Monitoring of Patients With Epilepsy: Algorithm Development and Validation" title="Application of a Low-Cost mHealth Solution for the Remote Monitoring of Patients With Epilepsy: Algorithm Development and Validation" class="h5" data-v-30c6e183> Application of a Low-Cost mHealth Solution for the Remote Monitoring of Patients With Epilepsy: Algorithm Development and Validation </a></div> <div class="card-info mt-20 mb-20" data-v-30c6e183><p class="card-info-text" data-v-30c6e183><span data-v-30c6e183>Implementing automated seizure detection in long-term electroencephalography (EEG) analysis enables the remote monitoring of patients with epilepsy, thereby improving their quality of life.</span></p> <div class="read-more" data-v-30c6e183><a href="/2023/1/e50660" aria-label="Continue reading this article" class="continue-reading" data-v-30c6e183><span aria-hidden="true" class="icon fas fa-long-arrow-alt-right" data-v-30c6e183></span></a></div></div></div> <div class="card-date-social mt-6 pb-10" data-v-30c6e183><time datetime="2023-12-19" class="mb-0" style="margin-top: 2px;" data-v-30c6e183>2023-12-19 </time> <span class="mx-1" style="margin-top: 2px;" data-v-30c6e183>|</span> <span class="sm-icons" data-v-30c6e183><a title="share-on-Bluesky" href="" aria-label="Share this item on Bluesky" data-test="bluesky-button" rel="noreferrer" 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{layout:"front",data:[{carouselItems:[{tabTitle:ab,slideTitle:c,articleTitle:c,description:c,url:{internal:g},backgroundColor:w,buttonText:a},{tabTitle:"Testimonials",slideTitle:"\"Not only was the turnaround extremely fast, the reviews were the some of the most helpful I've ever received. I've published over 90 peer reviewed articles so I have some credibility\"",articleTitle:"Richard Suminski",description:"Google Review",image:"\u002F_nuxt\u002Fimg\u002Fplaceholder-testimonial.9f62e5c.jpg",backgroundColor:w,buttons:[{url:{internal:g,link:"https:\u002F\u002Fdocs.google.com\u002Fforms\u002Fd\u002Fe\u002F1FAIpQLSeG5fmIO98nI54IeywAdGglYqLp67cQBmMwgqt3Qbz_BAp6zQ\u002Fviewform?formkey=dGR6eVMxTEdxblVycV8tMVRmdjRHS2c6MQ"},buttonText:a}]},{tabTitle:"Featured JMIR Sister Journal",slideTitle:ac,description:"\u003Cstrong\u003EBackground:\u003C\u002Fstrong\u003E Wearable devices with photoplethysmography (PPG) technology can be useful for detecting paroxysmal atrial fibrillation (AF), which often goes uncaptured despite being a leading cause of stroke.\n\u003Cstrong\u003EObjective:\u003C\u002Fstrong\u003E This study is the first part of a 2-phase study that aimed at developing a method for immediate detection of paroxysmal AF using PPG-integrated wearable devices. In this study, the diagnostic performance of 2 major smart watches, Apple Watch Series 3 and Fitbit (FBT) Charge HR Wireless Activity Wristband, each equipped with a PPG sensor, was compared, and the pulse rate data outputted from those devices were analyzed for precision and accuracy in reference to the heart rate data from electrocardiography (ECG) during AF.\n\u003Cstrong\u003EMethods:\u003C\u002Fstrong\u003E A total of 40 subjects from patients who underwent cardiac surgery at a single center between September 2017 and March 2018 were monitored for postoperative AF using telemetric ECG and PPG devices. AF was diagnosed using a 12-lead ECG by qualified physicians. Each subject was given a pair of smart watches, Apple Watch and FBT, for simultaneous pulse rate monitoring. The heart rate of all subjects was also recorded on the telemetry system. Time series pulse rate trends and heart rate trends were created and analyzed for trend pattern similarities. Those trend data were then used to determine the accuracy of PPG-based pulse rate measurements in reference to ECG-based heart rate measurements during AF.\n\u003Cstrong\u003EResults:\u003C\u002Fstrong\u003E Of the 20 AF events in group FBT, 6 (30%) showed a moderate or higher correlation (cross-correlation function>0.40) between pulse rate trend patterns and heart rate trend patterns. Of the 16 AF events in group Apple Watch (workout [W] mode), 12 (75%) showed a moderate or higher correlation between the 2 trend patterns. Linear regression analyses also showed a significant correlation between the pulse rates and the heart rates during AF in the subjects with Apple Watch. This correlation was not observed with FBT. The regression formula for Apple Watch W mode and FBT was X=14.203 + 0.841Y and X=58.225 + 0.228Y, respectively (where X denotes the mean of all average pulse rates during AF and Y denotes the mean of all corresponding average heart rates during AF), and the coefficient of determination (\u003Ci\u003ER\u003C\u002Fi\u003E\u003Csup\u003E2\u003C\u002Fsup\u003E) was 0.685 and 0.057, respectively (\u003Ci\u003EP\u003C\u002Fi\u003E<.001 and .29, respectively).\n\u003Cstrong\u003EConclusions:\u003C\u002Fstrong\u003E In this validation study, the detection precision of AF and measurement accuracy during AF were both better with Apple Watch W mode than with FBT.\n",articleTitle:"Use of a Smart Watch for Early Detection of Paroxysmal Atrial Fibrillation: Validation Study",citation:"- Vol 4 Issue 1",image:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002Fbedb23d2cfb273d2272faabd38c3fd19.png",backgroundColor:"#582365",buttons:[{url:{internal:g,link:ad},buttonText:"Visit Journal"}]},{tabTitle:"Latest Submission Open for Open-Review",slideTitle:"There are no submissions available for Open-Review at this time.",description:c,image:"\u002F_nuxt\u002Fimg\u002Fplaceholder-research.e8bcf9f.jpg",backgroundColor:"#a7e394",buttons:[]},{tabTitle:"Latest Announcement",slideTitle:ae,description:c,image:"\u002F_nuxt\u002Fimg\u002Fplaceholder-announcements.33ded4c.jpg",backgroundColor:w,buttons:[{url:{internal:f,link:"\u002Fannouncements\u002F515"},buttonText:"View Announcement"}]},{tabTitle:"Featured Theme",slideTitle:"Advancements in Neuroimaging",articleTitle:"Reward Learning as a Potential Mechanism for Improvement in Schizophrenia Spectrum Disorders Following Cognitive Remediation: Protocol for a Clinical, Nonrandomized, Pre-Post Pilot Study",description:"Background: Cognitive impairment is common with schizophrenia spectrum disorders. Cognitive remediation (CR) is effective in improving global cognition, but not all individuals benefit from this type of intervention. A better understanding of the potential mechanism of action of CR is needed. One proposed mechanism is reward learning (RL), the cognitive processes responsible for adapting behavior following positive or negative feedback. It is proposed that the structure of CR enhances RL and motivation to engage in increasingly challenging tasks, and this is a potential mechanism by which CR improves cognitive functioning in schizophrenia. Objective: Our primary objective is to examine reward processing in individuals with schizophrenia before and after completing CR and to compare this with a group of matched clinical controls. We will assess whether RL mediates the relationship between CR and improved cognitive function and reduced negative symptoms. Potential differences in social RL and nonsocial RL in individuals with schizophrenia will also be investigated and compared with a healthy matched control group. Methods: We propose a clinical, nonrandomized, pre-post pilot study comparing the impact of CR on RL and neurocognitive outcomes. The study will use a combination of objective and subjective measures to assess neurocognitive, psychiatric symptoms, and neurophysiological domains. A total of 40 individuals with schizophrenia spectrum disorders (aged 18-35 years) will receive 12 weeks of CR therapy (n=20) or treatment as usual (n=20). Reward processing will be evaluated using a reinforcement learning task with 2 conditions (social reward vs nonsocial reward) at baseline and the 12-week follow-up. Functional magnetic resonance imaging responses will be measured during this task. To validate the reinforcement learning task, RL will also be assessed in 20 healthy controls, matched for age, sex, and premorbid functioning. Mixed-factorial ANOVAs will be conducted to evaluate treatment group differences. For the functional magnetic resonance imaging analysis, computational modeling will allow the estimation of learning parameters at each point in time, during each task condition, for each participant. We will use a variational Bayesian framework to measure how learning occurred during the experimental task and the subprocesses that underlie this learning. Second-level group analyses will examine how learning in patients differs from that observed in control participants and how CR alters learning efficiency and the underlying neural activity. Results: As of September 2023, this study has enrolled 15 participants in the CR group, 1 participant in the treatment-as-usual group, and 11 participants in the healthy control group. Recruitment is expected to be completed by September 2024. Data analysis is expected to be completed and published in early 2025. Conclusions: The results of this study will contribute to the knowledge of CR and RL processes in severe mental illness and the understanding of the systems that impact negative symptoms and cognitive impairments within this population. ",image:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002Fd4cf2f9f02fb7184564741d85d38d773.png",backgroundColor:"#295620",buttons:[{url:{internal:g,link:"https:\u002F\u002Fwww.researchprotocols.org\u002F2024\u002F1\u002Fe52505"},buttonText:"Read Article"},{url:{internal:g,link:"\u002Fthemes\u002F1468"},buttonText:"View Theme"},{url:{internal:g,link:c},buttonText:"View All Themes"}]}]}],fetch:{},error:a,state:{host:a,environment:d,journalPath:h,keys:{},domains:{},screensize:"desktop",accessibility:{filter:"none","font-weight":"inherit","font-size":.625,"text-align":"initial"},announcements:{data:[{announcement_id:515,title:ae,description_short:"\u003Cp\u003EJMIR Publications is happy to announce that JMIR Neurotechnology has been accepted and indexed with the \u003Ca href=\"https:\u002F\u002Fdoaj.org\u002Ftoc\u002F2817-092X\"\u003EDirectory of Open Access Journals\u003C\u002Fa\u003E (DOAJ). The DOAJ applies strict criteria to review and index Open Access journals, which include licensing and copyright criteria, quality control processes, journal website technical and usability setups, and editorial evaluation.\u003C\u002Fp\u003E",date_posted:"2024-10-16T18:46:36.000Z",journal_id:i},{announcement_id:445,title:"Call for Papers: Theme Issue: Brain-Computer Interfaces (BCIs)",description_short:"\u003Cp\u003E\u003Cem\u003EJMIR Neurotechnology\u003C\u002Fem\u003E, a peer-reviewed journal, invites submissions on advancements in the field of brain-computer interfaces (BCIs) that represent the transformative convergence of neuroscience, engineering, and technology. \u003C\u002Fp\u003E\u003Cp\u003E\u003Cbr\u003E\u003C\u002Fp\u003E",date_posted:"2024-02-23T12:46:44.000Z",journal_id:i},{announcement_id:413,title:"Call for Papers: JMIR Neurotechnology",description_short:"\u003Cp\u003EThe journal \u003Cem\u003EJMIR Neurotechnology\u003C\u002Fem\u003E invites researchers, clinicians, caregivers, and technologists to submit manuscripts that explore novel diagnostic and treatment tools for neurological disorders, particularly those leveraging the potential of neurotechnology.\u003C\u002Fp\u003E",date_posted:"2023-10-20T14:00:02.000Z",journal_id:i}],pagination:{from:b,to:l,total:m,perPage:l,firstPage:b,lastPage:b}},article:{data:{thumbnail:"https:\u002F\u002Fasset.jmir.pub\u002Fplaceholder.svg",title:c,abstract:{Background:c,Objective:c,Methods:c,Result:c,Conculsion:c},primaryAuthor:a}},articles:{recent:[{thumbnail:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002F829a3401aee132404b87db39a8497eee.png",title:"Investigation of Study Procedures to Estimate Sensitivity and Reliability of a Virtual Physical Assessment Developed for Workplace Concussions: Method-Comparison Feasibility Study",article_id:57661,url:"\u002F2024\u002F1\u002Fe57661",published_at:"2024-11-27T17:00:06.000Z",doi:"10.2196\u002F57661",preview:"Virtual approaches to workplace concussion assessment have demonstrated value to end users. The feasibility of administering physical concussion assessment measures in a virtual context has been minimally explored and there is limited information on important psychometric properties of physical assessment measures used in virtual contexts.",section:{title:n,section_id:o}},{thumbnail:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002F5856b764b44f51060727619b7ae605f5.png",title:"Twenty-Five Years of AI in Neurology: The Journey of Predictive Medicine and Biological Breakthroughs",article_id:59556,url:"\u002F2024\u002F1\u002Fe59556",published_at:"2024-11-08T14:00:04.000Z",doi:"10.2196\u002F59556",preview:"Neurological disorders are the leading cause of physical and cognitive disability across the globe, currently affecting up to 15% of the world population, with the burden of chronic neurodegenerative diseases having doubled over the last 2 decades. Two decades ago, neurologists relying solely on clinical signs and basic imaging faced challenges in diagnosis and treatment. Today, the integration of artificial intelligence (AI) and bioinformatic methods is changing this landscape. This paper explores this transformative journey, emphasizing the critical role of AI in neurology, aiming to integrate a multitude of methods and thereby enhance the field of neurology. Over the past 25 years, integrating biomedical data science into medicine, particularly neurology, has fundamentally transformed how we understand, diagnose, and treat neurological diseases. Advances in genomics sequencing, the introduction of new imaging methods, the discovery of novel molecular biomarkers for nervous system function, a comprehensive understanding of immunology and neuroimmunology shaping disease subtypes, and the advent of advanced electrophysiological recording methods, alongside the digitalization of medical records and the rise of AI, all led to an unparalleled surge in data within neurology. In addition, telemedicine and web-based interactive health platforms, accelerated by the COVID-19 pandemic, have become integral to neurology practice. The real-world impact of these advancements is evident, with AI-driven analysis of imaging and genetic data leading to earlier and more accurate diagnoses of conditions such as multiple sclerosis, Parkinson disease, amyotrophic lateral sclerosis, Alzheimer disease, and more. Neuroinformatics is the key component connecting all these advances. By harnessing the power of IT and computational methods to efficiently organize, analyze, and interpret vast datasets, we can extract meaningful insights from complex neurological data, contributing to a deeper understanding of the intricate workings of the brain. In this paper, we describe the large-scale datasets that have emerged in neurology over the last 25 years and showcase the major advancements made by integrating these datasets with advanced neuroinformatic approaches for the diagnosis and treatment of neurological disorders. We further discuss challenges in integrating AI into neurology, including ethical considerations in data use, the need for further personalization of treatment, and embracing new emerging technologies like quantum computing. These developments are shaping a future where neurological care is more precise, accessible, and tailored to individual patient needs. We believe further advancements in AI will bridge traditional medical disciplines and cutting-edge technology, navigating the complexities of neurological data and steering medicine toward a future of more precise, accessible, and patient-centric health care.",section:{title:x,section_id:y}},{thumbnail:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002Fa1c85d0f1be03487d71d8a74027caf28.png",title:"Validity of a Smartphone App to Objectively Monitor Performance Outcomes in Degenerative Cervical Myelopathy: Preliminary Findings From a Longitudinal Observational Study",article_id:52832,url:"\u002F2024\u002F1\u002Fe52832",published_at:"2024-09-09T09:15:32.000Z",doi:"10.2196\u002F52832",preview:"Developing new clinical measures for degenerative cervical myelopathy (DCM) is an AO Spine RECODE-DCM research priority. Difficulties detecting DCM, and changes in DCM, cause diagnostic and treatment delays in clinical settings and heightened costs in clinical trials due to elevated recruitment targets. Digital outcome measures can tackle these challenges due to their ability to measure disease remotely, repeatedly, and more economically.",section:{title:n,section_id:o}},{thumbnail:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002Fb32860112dce8a61e3fc68261a0ca679.png",title:"Ethics and Governance of Neurotechnology in Africa: Lessons From AI",article_id:56665,url:"\u002F2024\u002F1\u002Fe56665",published_at:"2024-08-29T14:30:05.000Z",doi:"10.2196\u002F56665",preview:"As a novel technology frontier, neurotechnology is revolutionizing our perceptions of the brain and nervous system. With growing private and public investments, a thriving ecosystem of direct-to-consumer neurotechnologies has also emerged. These technologies are increasingly being introduced in many parts of the world, including Africa. However, as the use of this technology expands, neuroethics and ethics of emerging technology scholars are bringing attention to the critical concerns it raises. These concerns are largely not new but are uniquely amplified by the novelty of technology. They include ethical and legal issues such as privacy, human rights, human identity, bias, autonomy, and safety, which are part of the artificial intelligence ethics discourse. Most importantly, there is an obvious lack of regulatory oversight and a dearth of literature on the consideration of contextual ethical principles in the design and application of neurotechnology in Africa. This paper highlights lessons African stakeholders need to learn from the ethics and governance of artificial intelligence to ensure the design of ethically responsible and socially acceptable neurotechnology in and for Africa.",section:{title:x,section_id:y}},{thumbnail:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002F06dc7cb350b7f9f1e76359bd0e21d34d.png",title:"Assessing the Role of the Autonomic Nervous System as a Driver of Sleep Quality in Patients With Multiple Sclerosis: Observation Study",article_id:48148,url:"\u002F2024\u002F1\u002Fe48148",published_at:"2024-08-21T13:45:04.000Z",doi:"10.2196\u002F48148",preview:"Low sleep quality is a common symptom of multiple sclerosis (MS) and substantially decreases patients’ quality of life. The autonomic nervous system (ANS) is crucial to healthy sleep, and the transition from wake to sleep produces the largest shift in autonomic activity we experience every day. For patients with MS, the ANS is often impaired. The relationship between the ANS and perceived sleep quality in patients with MS remains elusive.",section:{title:"Neurotechnology in Clinical Studies",section_id:1264}},{thumbnail:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002Fd107c2d543dc52a8edac48dfa18d78f6.png",title:"Technology-Enabled Recreation and Leisure Programs and Activities for Older Adults With Cognitive Impairment: Rapid Scoping Review",article_id:53038,url:"\u002F2024\u002F1\u002Fe53038",published_at:"2024-08-08T11:15:04.000Z",doi:"10.2196\u002F53038",preview:"Recreational and leisure activities significantly contribute to the well-being of older adults, positively impacting physical, cognitive, and mental health. However, limited mobility and cognitive decline often impede access to these activities, particularly for individuals living with dementia. With the increasing availability of digital technologies, there is a rising interest in using technology to deliver recreation and leisure activities for cognitively impaired individuals, acknowledging its potential to provide diverse experiences. The COVID-19 pandemic further highlighted the need for virtual program delivery, especially for individuals in long-term care settings, leading to the development of tools like the Dementia Isolation Toolkit aimed at supporting compassionate isolation. To better support future implementations of the DIT, our rapid scoping review explores evidence-based, technology-enabled recreation programs for older adults with cognitive impairments, which promote well-being.",section:{title:"Reviews in Neurotechnology",section_id:1213}},{thumbnail:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002F3622e639f6e201f22e23c9c634543a51.png",title:"Invasive Brain-Computer Interfaces: A Critical Assessment of Current Developments and Future Prospects",article_id:60151,url:"\u002F2024\u002F1\u002Fe60151",published_at:"2024-07-19T13:30:04.000Z",doi:"10.2196\u002F60151",preview:"Invasive brain-computer interfaces (BCIs) are gaining attention for their transformative potential in human-machine interaction. These devices, which connect directly to the brain, could revolutionize medical therapies and augmentative technologies. This viewpoint examines recent advancements, weighs benefits against risks, and explores ethical and regulatory considerations for the future of invasive BCIs.",section:{title:"Theme Issue 2024: Brain-Computer Interfaces (BCIs)",section_id:1555}},{thumbnail:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002F35e3808471fc6f03fd2803a6578aba05.png",title:"Smartphone Pupillometry and Machine Learning for Detection of Acute Mild Traumatic Brain Injury: Cohort Study",article_id:58398,url:"\u002F2024\u002F1\u002Fe58398",published_at:"2024-06-13T10:00:04.000Z",doi:"10.2196\u002F58398",preview:"Quantitative pupillometry is used in mild traumatic brain injury (mTBI) with changes in pupil reactivity noted after blast injury, chronic mTBI, and sports-related concussion.",section:{title:n,section_id:o}},{thumbnail:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002F92d91f88ddb727d190767f7247b60cd4.png",title:"Direct Clinical Applications of Natural Language Processing in Common Neurological Disorders: Scoping Review",article_id:51822,url:"\u002F2024\u002F1\u002Fe51822",published_at:"2024-05-22T14:00:05.000Z",doi:"10.2196\u002F51822",preview:"Natural language processing (NLP), a branch of artificial intelligence that analyzes unstructured language, is being increasingly used in health care. However, the extent to which NLP has been formally studied in neurological disorders remains unclear.",section:{title:"AI in Neurotechnology",section_id:1469}},{thumbnail:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002F96ee68e4cd29210765008560d1e38497.png",title:"Beyond Audio-Video Telehealth: Perspective on the Current State and Future Directions of Digital Neurological Care in the United States",article_id:46736,url:"\u002F2024\u002F1\u002Fe46736",published_at:"2024-04-11T14:00:04.000Z",doi:"10.2196\u002F46736",preview:"The COVID-19 pandemic transformed neurological care by both requiring digital health modalities to reach patients and profoundly lowering barriers to digital health adoption. This combination of factors has given rise to a distinctive, emerging care model in neurology characterized by new technologies, care arrangements, and uncertainties. As the pandemic transitions to an endemic, there is a need to characterize the current and future states of this unique period in neurology.",section:{title:x,section_id:y}},{thumbnail:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002Fcd2de2dd1726e5ae130bec1883477c76.png",title:"Virtual Reality–Based Neurorehabilitation Support Tool for People With Cognitive Impairments Resulting From an Acquired Brain Injury: Usability and Feasibility Study",article_id:50538,url:"\u002F2024\u002F1\u002Fe50538",published_at:"2024-03-18T09:30:03.000Z",doi:"10.2196\u002F50538",preview:"Acquired brain injury (ABI) is a prominent cause of disability globally, with virtual reality (VR) emerging as a promising aid in neurorehabilitation. Nonetheless, the diversity among VR interventions can result in inconsistent outcomes and pose challenges in determining efficacy. Recent reviews offer best practice recommendations for designing and implementing therapeutic VR interventions to evaluate the acceptance of fully immersive VR interventions.",section:{title:"Neurorehabilitation and Technology",section_id:1467}},{thumbnail:"https:\u002F\u002Fasset.jmir.pub\u002Fassets\u002F3e730803a62caf0a755645f2d50c324a.png",title:"Application of a Low-Cost mHealth Solution for the Remote Monitoring of Patients With Epilepsy: Algorithm Development and Validation",article_id:50660,url:"\u002F2023\u002F1\u002Fe50660",published_at:"2023-12-19T09:30:30.000Z",doi:"10.2196\u002F50660",preview:"Implementing automated seizure detection in long-term electroencephalography (EEG) analysis enables the remote monitoring of patients with epilepsy, thereby improving their quality of life.",section:{title:n,section_id:o}}],openReview:[]},articleTypes:{},authentication:{data:a,jwt:a},countries:{data:[]},departments:{data:[]},help:{data:{}},journal:{data:{journal_id:i,title:z,tag:af,description:ag,path:h,slug:h,seq:A,enabled:b,environment:d,url:ah,batch:e,year:B,colour:C,impact:a,order:p,published:q,transfers:a,cite_score:a,settings:{aboutJournal:"\u003Cp\u003EJMIR Neurotechnology is a premier, open-access journal indexed in Sherpa\u002FRomeo, DOAJ and EBSCO\u002FEBSCO Essentials. 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Publish your work in this journal to let others know what you are working on, to facilitate collaboration and\u002For recruitment, to avoid duplication of efforts, to create a citable record of a research design idea, and to aid systematic reviewers in compiling evidence. Research protocols or grant proposals that are funded and have undergone peer-review will receive an expedited review if you upload peer-review reports as supplementary files.",path:"resprot",slug:"researchprotocols",seq:e,enabled:b,environment:d,url:"https:\u002F\u002Fwww.researchprotocols.org",batch:b,year:D,colour:"#837a7a",impact:"1.4",order:E,published:4343,transfers:a,cite_score:"2.4"},{journal_id:aj,title:"JMIR Formative Research",tag:"Process evaluations, early results and feasibility\u002Fpilot studies of digital and non-digital interventions. June 2024 - Journal Impact Factor: 2.0 (Source: Journal Citation Reports™ 2024 from Clarivate™)",description:c,path:ak,slug:ak,seq:t,enabled:b,environment:d,url:"https:\u002F\u002Fformative.jmir.org",batch:e,year:F,colour:"#605959",impact:"2.0",order:G,published:3083,transfers:a,cite_score:"2.7"},{journal_id:G,title:"JMIR mHealth and uHealth",tag:"Focused on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. June 2024 - Journal Impact Factor: 5.4. Q1 journal in \"Health Care Sciences & Services\" and \"Medical Informatics\" categories. (Source: Journal Citation Reports™ 2024 from Clarivate™)",description:"JMIR mhealth and uhealth is a new journal focussing on mobile and ubiquitous health technologies, including smartphones, augmented reality (Google Glasses), intelligent domestic devices, implantable devices, and other technologies designed to maintain health and improve life.",path:al,slug:al,seq:m,enabled:b,environment:d,url:"https:\u002F\u002Fmhealth.jmir.org",batch:e,year:H,colour:am,impact:"5.4",order:e,published:2736,transfers:a,cite_score:"12.6"},{journal_id:45,title:"Online Journal of Public Health Informatics",tag:"A leading peer-reviewed, open access journal dedicated to the dissemination of high-quality research and innovation in the field of public health informatics.",description:a,path:an,slug:an,seq:I,enabled:b,environment:d,url:"https:\u002F\u002Fojphi.jmir.org",batch:a,year:ao,colour:"#3399FF",impact:c,order:I,published:1719,transfers:a,cite_score:a},{journal_id:J,title:"JMIR Public Health and Surveillance",tag:"A multidisciplinary journal that focuses on the intersection of public health and technology, public health informatics, mass media campaigns, surveillance, participatory epidemiology, and innovation in public health practice and research. 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(Source: Journal Citation Reports™ 2024 from Clarivate™)",description:c,path:ar,slug:ar,seq:M,enabled:b,environment:d,url:"https:\u002F\u002Fmental.jmir.org",batch:b,year:O,colour:"#45936C",impact:as,order:P,published:1076,transfers:a,cite_score:"10.8"},{journal_id:K,title:"JMIR Human Factors",tag:"Making health care interventions and technologies usable, safe, and effective. June 2024 - Journal Impact Factor: 2.6 (Source: Journal Citation Reports™ 2024 from Clarivate™)",description:"Usability Studies and Ergonomics",path:at,slug:at,seq:au,enabled:b,environment:d,url:"https:\u002F\u002Fhumanfactors.jmir.org",batch:e,year:O,colour:"#008C9E",impact:"2.6",order:av,published:803,transfers:a,cite_score:"3.4"},{journal_id:E,title:"JMIR Serious Games",tag:"A multidisciplinary journal on gaming and gamification including simulation and immersive virtual reality for health education\u002Fpromotion, teaching, medicine, rehabilitation, and social change. June 2024 - Journal Impact Factor: 3.8. 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