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[{"id":97384877,"identifier":"Attachment_97384877","shouldShowBulkDownload":false}]; window.loswp.shouldDetectTimezone = true; window.loswp.shouldShowBulkDownload = true; window.loswp.showSignupCaptcha = false window.loswp.willEdgeCache = false; window.loswp.work = {"work":{"id":95113918,"created_at":"2023-01-16T12:09:15.554-08:00","from_world_paper_id":225464527,"updated_at":"2024-11-23T07:56:50.498-08:00","_data":{"publisher":"Elsevier BV","grobid_abstract":"Objective It has been suggested that there exists a subgroup of ADHD patients that have a high theta-beta ratio (TBR). The aim of this study was to analyze the distribution of TBR values in ADHD patients and validate the presence of a high-TBR cluster using objective metrics. Methods The TBR was extracted from eyes-open resting state EEG recordings of 363 ADHD patients, aged 5-21 years. The TBR distribution was estimated with three Bayesian Gaussian Mixture Models (BGMMs) with one, two, and three components, respectively. The pairwise comparison of BGMMs was carried out with deviance tests to identify the number of components that best represented the data. Results The two-component BGMM modeled the TBR values significantly better than the one-component BGMM (p-value = 0.005). No significant difference was observed between the two-component and three-component BGMM (p-value = 0.850). Conclusion These results suggest that there exist indeed two TBR clusters within the ADHD population. Significance This work offers a global framework to understanding values found in the literature and suggest guidelines on how to compute theta-beta ratio values. Moreover, using objective data-driven method we confirm the existence of a high theta-beta ratio cluster.","publication_date":"2019,,","publication_name":"Clinical Neurophysiology","grobid_abstract_attachment_id":"97384877"},"document_type":"paper","pre_hit_view_count_baseline":null,"quality":"high","language":"en","title":"Is there a cluster of high theta-beta ratio patients in attention deficit hyperactivity disorder?","broadcastable":false,"draft":null,"has_indexable_attachment":true,"indexable":true}}["work"]; window.loswp.workCoauthors = [2715801]; window.loswp.locale = "en"; window.loswp.countryCode = "SG"; window.loswp.cwvAbTestBucket = ""; window.loswp.designVariant = "ds_vanilla"; window.loswp.fullPageMobileSutdModalVariant = "control"; window.loswp.useOptimizedScribd4genScript = false; window.loswp.appleClientId = 'edu.academia.applesignon';</script><script defer="" src="https://accounts.google.com/gsi/client"></script><div class="ds-loswp-container"><div class="ds-work-card--grid-container"><div class="ds-work-card--container js-loswp-work-card"><div class="ds-work-card--cover"><div class="ds-work-cover--wrapper"><div class="ds-work-cover--container"><button class="ds-work-cover--clickable js-swp-download-button" data-signup-modal="{"location":"swp-splash-paper-cover","attachmentId":97384877,"attachmentType":"pdf"}"><img alt="First page of “Is there a cluster of high theta-beta ratio patients in attention deficit hyperactivity disorder?”" class="ds-work-cover--cover-thumbnail" src="https://0.academia-photos.com/attachment_thumbnails/97384877/mini_magick20230116-1-xwkoe2.png?1673899873" /><img alt="PDF Icon" class="ds-work-cover--file-icon" src="//a.academia-assets.com/assets/single_work_splash/adobe.icon-574afd46eb6b03a77a153a647fb47e30546f9215c0ee6a25df597a779717f9ef.svg" /><div class="ds-work-cover--hover-container"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span><p>Download Free PDF</p></div><div class="ds-work-cover--ribbon-container">Download Free PDF</div><div class="ds-work-cover--ribbon-triangle"></div></button></div></div></div><div class="ds-work-card--work-information"><h1 class="ds-work-card--work-title">Is there a cluster of high theta-beta ratio patients in attention deficit hyperactivity disorder?</h1><div class="ds-work-card--work-authors ds-work-card--detail"><a class="ds-work-card--author js-wsj-grid-card-author ds2-5-body-md ds2-5-body-link" data-author-id="2715801" href="https://unige.academia.edu/TomasRos"><img alt="Profile image of Tomas Ros" class="ds-work-card--author-avatar" src="https://0.academia-photos.com/2715801/874028/17979255/s65_tomas.ros.jpg" />Tomas Ros</a></div><div class="ds-work-card--detail"><p class="ds-work-card--detail ds2-5-body-sm">2019, Clinical Neurophysiology</p><div class="ds-work-card--work-metadata"><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">visibility</span><p class="ds2-5-body-sm" id="work-metadata-view-count">…</p></div><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">description</span><p class="ds2-5-body-sm">39 pages</p></div><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">link</span><p class="ds2-5-body-sm">1 file</p></div></div><script>(async () => { const workId = 95113918; 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EEG biomarkers have been under extensive use in ADHD researchs, even though they have not been clinically confirmed so far. This study attempted to examine the relationship between theta/beta ratio and the disease intensity in ADHD children as well as the sensitivity and theta/beta ratio characteristic to detect ADHD and healthy children. The accuracy of this ratio would help differentiate diseased children from the healthy ones in terms of ADHD. Materials and Methods: This study is a case-control test, in which the statistical population consisted of 59 healthy children and 61 children with ADHD who had been chosen through simple random sampling. All patients were examined in terms of disease intensity using parental Conner’s questionnaire...</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Investigating the Relationship between Theta/Beta Ratio and Intensity of Disease in Children with ADHD","attachmentId":79729681,"attachmentType":"pdf","work_url":"https://www.academia.edu/69756782/Investigating_the_Relationship_between_Theta_Beta_Ratio_and_Intensity_of_Disease_in_Children_with_ADHD","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/69756782/Investigating_the_Relationship_between_Theta_Beta_Ratio_and_Intensity_of_Disease_in_Children_with_ADHD"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="2" data-entity-id="55723675" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/55723675/The_Theta_Beta_Ratio_as_an_Index_of_Cognitive_Processing_in_Adults_With_the_Combined_Type_of_Attention_Deficit_Hyperactivity_Disorder">The Theta/Beta Ratio as an Index of Cognitive Processing in Adults With the Combined Type of Attention Deficit Hyperactivity Disorder</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="37261148" href="https://independent.academia.edu/AdamClarke11">Adam Clarke</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Clinical EEG and Neuroscience</p><p class="ds-related-work--abstract ds2-5-body-sm">An elevated theta/beta ratio in the EEG has long been observed among individuals with Attention Deficit Hyperactivity Disorder (ADHD). The theta/beta ratio was previously hypothesised to be an index of arousal, but a number of studies failed to find any association between the ratio and indices of arousal, instead proposing that the theta/beta ratio may actually be indicative of cognitive processing. This hypothesis was tested by Clarke et al using a sample of healthy adults, with results indicating that the theta/beta ratio correlated with a marker of cognitive processing (P300 latency in an auditory oddball task), while P300 amplitude correlated with an arousal marker (alpha power). The aim of this study was to test whether similar results could be found in a sample of 41 adults with the combined type of ADHD. EEGs were recorded during an eyes-closed resting condition and an auditory oddball task. Results demonstrated that the theta/beta ratio correlated significantly with P300 la...</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"The Theta/Beta Ratio as an Index of Cognitive Processing in Adults With the Combined Type of Attention Deficit Hyperactivity Disorder","attachmentId":71459649,"attachmentType":"pdf","work_url":"https://www.academia.edu/55723675/The_Theta_Beta_Ratio_as_an_Index_of_Cognitive_Processing_in_Adults_With_the_Combined_Type_of_Attention_Deficit_Hyperactivity_Disorder","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/55723675/The_Theta_Beta_Ratio_as_an_Index_of_Cognitive_Processing_in_Adults_With_the_Combined_Type_of_Attention_Deficit_Hyperactivity_Disorder"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="3" data-entity-id="74537590" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/74537590/Comparison_of_Theta_Beta_Ratio_in_children_with_Attention_deficit_hyperactive_disorder_and_specific_Learning_Disorder_during_active_EEG">Comparison of Theta Beta Ratio in children with Attention deficit/hyperactive disorder and specific Learning Disorder during active EEG</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="32119690" href="https://independent.academia.edu/MahdiehMirmohammad">Mahdieh Mirmohammad</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Basic and Clinical Neuroscience Journal, 2021</p><p class="ds-related-work--abstract ds2-5-body-sm">Introduction: Theta-Beta Ratio (TBR) has been claimed as a biomarker to diagnose Attention Deficit and Hyperactivity Disorder (ADHD). However, the effectiveness of this index to differentiate between different groups of disorders is still under discussion. The primary purpose was to determine to what extent active TRB can differentiate between children with ADHD and specific Learning Disorder (sLD) as the most common comorbid disorder. Methods: Two groups of school-aged children with sLD (N=15) and ADHD (N=15) were diagnosed through a process of clinical interview and observation. Electroencephalography (EEG) was recorded in both groups during active condition. The implemented cognitive task was the visual continuous performance task (VCPT). TBR in sites of CZ and Fz, and cognitive measures of VCPT were calculated in the aforementioned groups. Results: There was no significant differences in cognitive measures (containing Commission, Omission, Reaction Time, and Variability of React...</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Comparison of Theta Beta Ratio in children with Attention deficit/hyperactive disorder and specific Learning Disorder during active EEG","attachmentId":82654223,"attachmentType":"pdf","work_url":"https://www.academia.edu/74537590/Comparison_of_Theta_Beta_Ratio_in_children_with_Attention_deficit_hyperactive_disorder_and_specific_Learning_Disorder_during_active_EEG","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/74537590/Comparison_of_Theta_Beta_Ratio_in_children_with_Attention_deficit_hyperactive_disorder_and_specific_Learning_Disorder_during_active_EEG"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="4" data-entity-id="97361891" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/97361891/Classical_and_Bayesian_Estimation_in_the_Logistic_Regression_Model_Applied_to_Diagnosis_of_Child_Attention_Deficit_Hyperactivity_Disorder_1_2">Classical and Bayesian Estimation in the Logistic Regression Model Applied to Diagnosis of Child Attention Deficit Hyperactivity Disorder 1,2</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="110944108" href="https://ub.academia.edu/MaribelPer%C3%B3Cebollero">Maribel Peró Cebollero</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Psychological Reports, 2010</p><p class="ds-related-work--abstract ds2-5-body-sm">The limitations inherent to classical estimation of the logistic regression models are known. The Bayesian approach in statistical analysis is an alternative to be considered, given that it makes it possible to introduce prior information about the phenomenon under study. The aim of the present work is to analyze binary and multinomial logistic regression simple models estimated by means of a Bayesian approach in comparison to classical estimation. To that effect, Child Attention Deficit Hyperactivity Disorder (ADHD) clinical data were analyzed. The sample included 286 participants of 6–12 years (78% boys, 22% girls) with ADHD positive diagnosis in 86.7% of the cases. The results show a reduction of standard errors associated to the coefficients obtained from the Bayesian analysis, thus bringing a greater stability to the coefficients. Complex models where parameter estimation may be easily compromised could benefit from this advantage.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Classical and Bayesian Estimation in the Logistic Regression Model Applied to Diagnosis of Child Attention Deficit Hyperactivity Disorder 1,2","attachmentId":99004480,"attachmentType":"pdf","work_url":"https://www.academia.edu/97361891/Classical_and_Bayesian_Estimation_in_the_Logistic_Regression_Model_Applied_to_Diagnosis_of_Child_Attention_Deficit_Hyperactivity_Disorder_1_2","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/97361891/Classical_and_Bayesian_Estimation_in_the_Logistic_Regression_Model_Applied_to_Diagnosis_of_Child_Attention_Deficit_Hyperactivity_Disorder_1_2"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="5" data-entity-id="59700321" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/59700321/The_Theta_Beta_Ratio_as_an_Indicator_of_Evolution_in_Pediatric_Patients_Treated_for_Attention_Deficit_Hyperactivity_Disorder_ADHD_A_Retrospective_Study">The Theta/Beta Ratio as an Indicator of Evolution in Pediatric Patients Treated for Attention-Deficit/Hyperactivity Disorder (ADHD) - A Retrospective Study</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="112558406" href="https://independent.academia.edu/HectorWillys">Hector Willys</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Proceedings of the International Conference on Bio-inspired Systems and Signal Processing, 2015</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"The Theta/Beta Ratio as an Indicator of Evolution in Pediatric Patients Treated for Attention-Deficit/Hyperactivity Disorder (ADHD) - A Retrospective Study","attachmentId":73487803,"attachmentType":"pdf","work_url":"https://www.academia.edu/59700321/The_Theta_Beta_Ratio_as_an_Indicator_of_Evolution_in_Pediatric_Patients_Treated_for_Attention_Deficit_Hyperactivity_Disorder_ADHD_A_Retrospective_Study","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/59700321/The_Theta_Beta_Ratio_as_an_Indicator_of_Evolution_in_Pediatric_Patients_Treated_for_Attention_Deficit_Hyperactivity_Disorder_ADHD_A_Retrospective_Study"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="6" data-entity-id="111518437" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/111518437/Different_Spectral_Analysis_Methods_for_the_Theta_Beta_Ratio_Calculate_Different_Ratios_But_Do_Not_Distinguish_ADHD_from_Controls">Different Spectral Analysis Methods for the Theta/Beta Ratio Calculate Different Ratios But Do Not Distinguish ADHD from Controls</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="125310310" href="https://saybrook.academia.edu/CynthiaKerson">Cynthia Kerson</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Applied Psychophysiology and Biofeedback, 2020</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Different Spectral Analysis Methods for the Theta/Beta Ratio Calculate Different Ratios But Do Not Distinguish ADHD from Controls","attachmentId":109034409,"attachmentType":"pdf","work_url":"https://www.academia.edu/111518437/Different_Spectral_Analysis_Methods_for_the_Theta_Beta_Ratio_Calculate_Different_Ratios_But_Do_Not_Distinguish_ADHD_from_Controls","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/111518437/Different_Spectral_Analysis_Methods_for_the_Theta_Beta_Ratio_Calculate_Different_Ratios_But_Do_Not_Distinguish_ADHD_from_Controls"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="7" data-entity-id="6314327" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/6314327/Combined_Psychophysiological_Assessment_of_ADHD_A_Pilot_Study_of_Bayesian_Probability_Approach_Illustrated_by_Appraisal_of_ADHD_in_Female_College_Students">Combined Psychophysiological Assessment of ADHD: A Pilot Study of Bayesian Probability Approach Illustrated by Appraisal of ADHD in Female College Students</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="9812628" href="https://virginia.academia.edu/JenniferPenberthy">Jennifer Penberthy</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Applied Psychophysiology and Biofeedback, 2004</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Combined Psychophysiological Assessment of ADHD: A Pilot Study of Bayesian Probability Approach Illustrated by Appraisal of ADHD in Female College Students","attachmentId":48920557,"attachmentType":"pdf","work_url":"https://www.academia.edu/6314327/Combined_Psychophysiological_Assessment_of_ADHD_A_Pilot_Study_of_Bayesian_Probability_Approach_Illustrated_by_Appraisal_of_ADHD_in_Female_College_Students","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/6314327/Combined_Psychophysiological_Assessment_of_ADHD_A_Pilot_Study_of_Bayesian_Probability_Approach_Illustrated_by_Appraisal_of_ADHD_in_Female_College_Students"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="8" data-entity-id="99064931" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/99064931/Frontal_theta_beta_ratio_changes_during_TOVA_in_Egyptian_ADHD_children">Frontal theta/beta ratio changes during TOVA in Egyptian ADHD children</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="25057652" href="https://independent.academia.edu/NagwaMeguid">Nagwa Meguid</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Neurosciences (Riyadh, Saudi Arabia), 2017</p><p class="ds-related-work--abstract ds2-5-body-sm">To spot the frontal theta/beta ratio alterations during Tests of Variance of Attention (TOVA) in Egyptian attention deficit hyperactivity disorder (ADHD) children. This is a cross sectional study performed in Clinical Neurophysiology Unit, Cairo University, Egypt. It included 2 groups, each of 52 children (one of them with ADHD and the other were normal control). EEG was recorded for every subject during normal relaxing circumstance with eyes opened as well as during TOVA. Comparing both groups revealed statistically significant difference in the theta/beta ratio in both state (normal relaxing with eyes opened and during TOVA), also we found that the theta/beta ratio decreased in normal group (during concentration) while in the ADHD group it increased with a specific pattern. The theta/beta ratio can be of value in helping for differential diagnosis in patients presenting with mild ADHD.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Frontal theta/beta ratio changes during TOVA in Egyptian ADHD children","attachmentId":100250864,"attachmentType":"pdf","work_url":"https://www.academia.edu/99064931/Frontal_theta_beta_ratio_changes_during_TOVA_in_Egyptian_ADHD_children","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/99064931/Frontal_theta_beta_ratio_changes_during_TOVA_in_Egyptian_ADHD_children"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="9" data-entity-id="71957640" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/71957640/Practice_advisory_The_utility_of_EEG_theta_beta_power_ratio_in_ADHD_diagnosis_Report_of_the_Guideline_Development_Dissemination_and_Implementation_Subcommittee_of_the_American_Academy_of_Neurology">Practice advisory: The utility of EEG theta/beta power ratio in ADHD diagnosis: Report of the Guideline Development, Dissemination, and Implementation Subcommittee of the American Academy of Neurology</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="181028809" href="https://independent.academia.edu/JayVarma3">Jay Varma</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Neurology, 2016</p><p class="ds-related-work--abstract ds2-5-body-sm">To evaluate the evidence for EEG theta/beta power ratio for diagnosing, or helping to diagnose, attention-deficit/hyperactivity disorder (ADHD). We identified relevant studies and classified them using American Academy of Neurology criteria. Two Class I studies assessing the ability of EEG theta/beta power ratio and EEG frontal beta power to identify patients with ADHD correctly identified 166 of 185 participants. Both studies evaluated theta/beta power ratio and frontal beta power in suspected ADHD or in syndromes typically included in an ADHD differential diagnosis. A bivariate model combining the diagnostic studies shows that the combination of EEG frontal beta power and theta/beta power ratio has relatively high sensitivity and specificity but is insufficiently accurate. It is unknown whether a combination of standard clinical examination and EEG theta/beta power ratio increases diagnostic certainty of ADHD compared with clinical examination alone. Level B: Clinicians should inf...</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Practice advisory: The utility of EEG theta/beta power ratio in ADHD diagnosis: Report of the Guideline Development, Dissemination, and Implementation Subcommittee of the American Academy of Neurology","attachmentId":81087039,"attachmentType":"pdf","work_url":"https://www.academia.edu/71957640/Practice_advisory_The_utility_of_EEG_theta_beta_power_ratio_in_ADHD_diagnosis_Report_of_the_Guideline_Development_Dissemination_and_Implementation_Subcommittee_of_the_American_Academy_of_Neurology","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/71957640/Practice_advisory_The_utility_of_EEG_theta_beta_power_ratio_in_ADHD_diagnosis_Report_of_the_Guideline_Development_Dissemination_and_Implementation_Subcommittee_of_the_American_Academy_of_Neurology"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div></div></div><div class="ds-sticky-ctas--wrapper js-loswp-sticky-ctas hidden"><div class="ds-sticky-ctas--grid-container"><div class="ds-sticky-ctas--container"><button class="ds2-5-button js-swp-download-button" data-signup-modal="{"location":"continue-reading-button--sticky-ctas","attachmentId":97384877,"attachmentType":"pdf","workUrl":null}">See full PDF</button><button class="ds2-5-button ds2-5-button--secondary js-swp-download-button" data-signup-modal="{"location":"download-pdf-button--sticky-ctas","attachmentId":97384877,"attachmentType":"pdf","workUrl":null}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span>Download PDF</button></div></div></div><div class="ds-below-fold--grid-container"><div class="ds-work--container js-loswp-embedded-document"><div class="attachment_preview" data-attachment="Attachment_97384877" style="display: none"><div class="js-scribd-document-container"><div class="scribd--document-loading js-scribd-document-loader" style="display: block;"><img alt="Loading..." src="//a.academia-assets.com/images/loaders/paper-load.gif" /><p>Loading Preview</p></div></div><div style="text-align: center;"><div class="scribd--no-preview-alert js-preview-unavailable"><p>Sorry, preview is currently unavailable. 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