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<!DOCTYPE html> <html lang="en" class="no-js"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes"> <title>Forecasting Remission From the Psychosis Risk Syndrome With Mismatch Negativity and P300: Potentials and Pitfalls</title> <meta id="meta-title" property="citation_title" content="Forecasting Remission From the Psychosis Risk Syndrome With Mismatch Negativity and P300: Potentials and Pitfalls"/> <meta id="og-title" property="og:title" content="Forecasting Remission From the Psychosis Risk Syndrome With Mismatch Negativity and P300: Potentials and Pitfalls"/> <meta name="twitter:widgets:autoload" content="off"/> <meta name="twitter:dnt" content="on"/> <meta name="twitter:widgets:csp" content="on"/> <meta name="google-site-verification" content="lQbRRf0vgPqMbnbCsgELjAjIIyJjiIWo917M7hBshvI"/> <meta id="meta-abstract" name="citation_abstract" content="Clinical outcomes vary for individuals at clinical high risk (CHR) for psychosis, ranging from conversion to a psychotic disorder to full remission from the risk syndrome. Given that most CHR individuals do not convert to psychosis, recent research efforts have turned toward identifying specific predictors of CHR remission, a task that is conceptually and empirically dissociable from the identification of predictors of conversion to psychosis, and one that may reveal specific biological characteristics that confer resilience to psychosis and provide further insights into the mechanisms associated with the pathogenesis of schizophrenia and those underlying a transient CHR syndrome. Such biomarkers may ultimately facilitate the development of novel early interventions and support the optimization of individualized care. In this review, we focus on two event-related brain potential measures, mismatch negativity and P300, that have attracted interest as predictors of future psychosis among CHR individuals. We describe several recent studies examining whether mismatch negativity and P300 predict subsequent CHR remission and suggest that intact mismatch negativity and P300 may reflect the integrity of specific neurocognitive processes that confer resilience against the persistence of the CHR syndrome and its associated risk for future transition to psychosis. We also highlight several major methodological concerns associated with these studies that apply to the broader literature examining predictors of CHR remission. Among them is the concern that studies that predict dichotomous remission versus nonremission and/or dichotomous conversion versus nonconversion outcomes potentially confound remission and conversion effects, a phenomenon we demonstrate with a data simulation."/> <meta id="meta-description" name="description" content="Author(s): Hamilton, Holly K; Roach, Brian J; Mathalon, Daniel H | Abstract: Clinical outcomes vary for individuals at clinical high risk (CHR) for psychosis, ranging from conversion to a psychotic disorder to full remission from the risk syndrome. Given that most CHR individuals do not convert to psychosis, recent research efforts have turned toward identifying specific predictors of CHR remission, a task that is conceptually and empirically dissociable from the identification of predictors of conversion to psychosis, and one that may reveal specific biological characteristics that confer resilience to psychosis and provide further insights into the mechanisms associated with the pathogenesis of schizophrenia and those underlying a transient CHR syndrome. Such biomarkers may ultimately facilitate the development of novel early interventions and support the optimization of individualized care. In this review, we focus on two event-related brain potential measures, mismatch negativity and P300, that have attracted interest as predictors of future psychosis among CHR individuals. We describe several recent studies examining whether mismatch negativity and P300 predict subsequent CHR remission and suggest that intact mismatch negativity and P300 may reflect the integrity of specific neurocognitive processes that confer resilience against the persistence of the CHR syndrome and its associated risk for future transition to psychosis. We also highlight several major methodological concerns associated with these studies that apply to the broader literature examining predictors of CHR remission. Among them is the concern that studies that predict dichotomous remission versus nonremission and/or dichotomous conversion versus nonconversion outcomes potentially confound remission and conversion effects, a phenomenon we demonstrate with a data simulation."/> <meta id="og-description" name="og:description" content="Author(s): Hamilton, Holly K; Roach, Brian J; Mathalon, Daniel H | Abstract: Clinical outcomes vary for individuals at clinical high risk (CHR) for psychosis, ranging from conversion to a psychotic disorder to full remission from the risk syndrome. Given that most CHR individuals do not convert to psychosis, recent research efforts have turned toward identifying specific predictors of CHR remission, a task that is conceptually and empirically dissociable from the identification of predictors of conversion to psychosis, and one that may reveal specific biological characteristics that confer resilience to psychosis and provide further insights into the mechanisms associated with the pathogenesis of schizophrenia and those underlying a transient CHR syndrome. Such biomarkers may ultimately facilitate the development of novel early interventions and support the optimization of individualized care. In this review, we focus on two event-related brain potential measures, mismatch negativity and P300, that have attracted interest as predictors of future psychosis among CHR individuals. We describe several recent studies examining whether mismatch negativity and P300 predict subsequent CHR remission and suggest that intact mismatch negativity and P300 may reflect the integrity of specific neurocognitive processes that confer resilience against the persistence of the CHR syndrome and its associated risk for future transition to psychosis. We also highlight several major methodological concerns associated with these studies that apply to the broader literature examining predictors of CHR remission. Among them is the concern that studies that predict dichotomous remission versus nonremission and/or dichotomous conversion versus nonconversion outcomes potentially confound remission and conversion effects, a phenomenon we demonstrate with a data simulation."/> <meta id="og-image" property="og:image" content="https://escholarship.org/images/escholarship-facebook2.jpg"/> <meta id="og-image-width" property="og:image:width" content="1242"/> <meta id="og-image-height" property="og:image:height" content="1242"/> <meta id="meta-author0" name="citation_author" content="Hamilton, Holly K"/> <meta id="meta-author1" name="citation_author" content="Roach, Brian J"/> <meta id="meta-author2" name="citation_author" content="Mathalon, Daniel H"/> <meta id="meta-publication_date" name="citation_publication_date" content="2020-10-01"/> <meta id="meta-doi" name="citation_doi" content="10.1016/j.bpsc.2020.10.010"/> <meta id="meta-journal_title" name="citation_journal_title" content="Biological Psychiatry Cognitive Neuroscience and Neuroimaging"/> <meta id="meta-issn" name="citation_issn" content="2451-9022"/> <meta id="meta-volume" name="citation_volume" content="6"/> <meta id="meta-issue" name="citation_issue" content="2"/> <meta id="meta-firstpage" name="citation_firstpage" content="178"/> <meta id="meta-lastpage" name="citation_lastpage" content="187"/> <meta id="meta-online_date" name="citation_online_date" content="2023-06-13"/> <meta id="meta-pdf_url" name="citation_pdf_url" content="https://escholarship.org/content/qt3bp6c2nr/qt3bp6c2nr.pdf?t=rw7rzy"/> <link rel="canonical" href="https://escholarship.org/uc/item/3bp6c2nr"/> <link rel="stylesheet" href="/css/main-62e3023ddd136de2.css"> <link rel="resource" type="application/l10n" href="/node_modules/pdfjs-embed2/dist/locale/locale.properties"> <noscript><style> .jsonly { display: none } </style></noscript>   <script> var _paq = window._paq = window._paq || []; 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</li><li><a href="/search/?q=author%3ARoach%2C%20Brian%20J">Roach, Brian J</a>; </li><li class="c-authorlist__end"><a href="/search/?q=author%3AMathalon%2C%20Daniel%20H">Mathalon, Daniel H</a> </li></ul></div><div class="c-pubinfo"><h2 class="c-pubinfo__location-heading">Published Web Location</h2><a href="https://doi.org/10.1016/j.bpsc.2020.10.010" class="c-pubinfo__link">https://doi.org/10.1016/j.bpsc.2020.10.010</a></div><div class="c-tabs"><div class="c-tabs__tabs"><button class="c-tabs__button-more" aria-label="Show all tabs">...</button><button class="c-tabs__button--active">Main Content</button><button class="c-tabs__button">Metrics</button><button class="c-tabs__button">Author & Article Info</button></div><div class="c-tabs__content"><div class="c-tabcontent"><a name="article_abstract"></a><details class="c-togglecontent" open=""><summary>Abstract</summary><div class="c-clientmarkup"><p>Clinical outcomes vary for individuals at clinical high risk (CHR) for psychosis, ranging from conversion to a psychotic disorder to full remission from the risk syndrome. Given that most CHR individuals do not convert to psychosis, recent research efforts have turned toward identifying specific predictors of CHR remission, a task that is conceptually and empirically dissociable from the identification of predictors of conversion to psychosis, and one that may reveal specific biological characteristics that confer resilience to psychosis and provide further insights into the mechanisms associated with the pathogenesis of schizophrenia and those underlying a transient CHR syndrome. Such biomarkers may ultimately facilitate the development of novel early interventions and support the optimization of individualized care. In this review, we focus on two event-related brain potential measures, mismatch negativity and P300, that have attracted interest as predictors of future psychosis among CHR individuals. We describe several recent studies examining whether mismatch negativity and P300 predict subsequent CHR remission and suggest that intact mismatch negativity and P300 may reflect the integrity of specific neurocognitive processes that confer resilience against the persistence of the CHR syndrome and its associated risk for future transition to psychosis. We also highlight several major methodological concerns associated with these studies that apply to the broader literature examining predictors of CHR remission. Among them is the concern that studies that predict dichotomous remission versus nonremission and/or dichotomous conversion versus nonconversion outcomes potentially confound remission and conversion effects, a phenomenon we demonstrate with a data simulation.</p></div><p class="o-well-colored">Many UC-authored scholarly publications are freely available on this site because of the UC's <a href="https://osc.universityofcalifornia.edu/open-access-at-uc/open-access-policy/">open access policies</a>. <a href="https://help.escholarship.org/support/tickets/new">Let us know how this access is important for you.</a></p></details><details class="c-togglecontent" open=""><a name="article_main"></a><summary>Main Content</summary><div class="c-pdfview"><button class="c-pdfview__button-download">Download PDF to View</button><button class="c-pdfview__button-view">View Larger</button></div><div class="c-pdfview__accessibility">For improved accessibility of PDF content, <a 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Studies Predicting CHR Remission</a></li><li><a href="/uc/item/3bp6c2nr">General Methodological Issues Associated with Studies Predicting CHR Outcomes</a></li><li><a href="/uc/item/3bp6c2nr">Conclusions</a></li><li><a href="/uc/item/3bp6c2nr">References</a></li><li><a href="/uc/item/3bp6c2nr">Figure 1.</a></li><li><a href="/uc/item/3bp6c2nr">Figure 2.</a></li></ul><ul class="c-jump__siblings"><li><a href="/uc/item/3bp6c2nr">Metrics</a></li><li><a href="/uc/item/3bp6c2nr">Author & Article Info</a></li></ul></div></section><div><section class="o-columnbox1"><header><h2>Related Items</h2></header><ul class="c-relateditems"><li><h3><a class="o-textlink__secondary" href="/uc/item/5st466rd"><div class="c-clientmarkup">Discordance Between Clinician and Person-With-Diabetes Perceptions Regarding Technology Barriers and Benefits.</div></a></h3><div class="c-authorlist"><ul class="c-authorlist__list"><li class="c-authorlist__begin"><a href="/search/?q=author%3AAddala%2C%20Ananta">Addala, 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Remission","anchor":"page=3"},{"title":"Methodological Issues Regarding ERP Studies Predicting CHR Remission","anchor":"page=6"},{"title":"General Methodological Issues Associated with Studies Predicting CHR Outcomes","anchor":"page=7"},{"title":"Conclusions","anchor":"page=9"},{"title":"References","anchor":"page=11"},{"title":"Figure 1.","anchor":"page=17"},{"title":"Figure 2.","anchor":"page=18"}],"source":"mutool"},"abstract":"Clinical outcomes vary for individuals at clinical high risk (CHR) for psychosis, ranging from conversion to a psychotic disorder to full remission from the risk syndrome. Given that most CHR individuals do not convert to psychosis, recent research efforts have turned toward identifying specific predictors of CHR remission, a task that is conceptually and empirically dissociable from the identification of predictors of conversion to psychosis, and one that may reveal specific biological characteristics that confer resilience to psychosis and provide further insights into the mechanisms associated with the pathogenesis of schizophrenia and those underlying a transient CHR syndrome. Such biomarkers may ultimately facilitate the development of novel early interventions and support the optimization of individualized care. In this review, we focus on two event-related brain potential measures, mismatch negativity and P300, that have attracted interest as predictors of future psychosis among CHR individuals. We describe several recent studies examining whether mismatch negativity and P300 predict subsequent CHR remission and suggest that intact mismatch negativity and P300 may reflect the integrity of specific neurocognitive processes that confer resilience against the persistence of the CHR syndrome and its associated risk for future transition to psychosis. We also highlight several major methodological concerns associated with these studies that apply to the broader literature examining predictors of CHR remission. Among them is the concern that studies that predict dichotomous remission versus nonremission and/or dichotomous conversion versus nonconversion outcomes potentially confound remission and conversion effects, a phenomenon we demonstrate with a data simulation.","keywords":["Biological Psychology","Biomedical and Clinical Sciences","Psychology","Pediatric Research Initiative","Schizophrenia","Clinical Research","Prevention","Mental Health","Serious Mental Illness","Brain Disorders","Pediatric","Mental health","Brain","Evoked Potentials","Humans","Psychotic Disorders","Remission Induction","Clinical high risk for psychosis","Electroencephalography","Mismatch negativity","P300","Remission","Neurosciences","Biological psychology","Clinical and health 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With Mismatch Negativity and P300: Potentials and Pitfalls","URL":"http://escholarship.org/uc/item/3bp6c2nr","issued":{"raw":["2020-10-1"]},"doi":"10.1016/j.bpsc.2020.10.010","issn":null,"author":[{"literal":"Hamilton, Holly K","email":"holly.hamilton@ucsf.edu","given":"Holly K","family":"Hamilton"},{"literal":"Roach, Brian J","given":"Brian J","family":"Roach"},{"literal":"Mathalon, Daniel H","email":"daniel.mathalon@ucsf.edu","given":"Daniel H","family":"Mathalon","ORCID_id":"0000-0001-6090-4974"}]},"content_html":false,"content_key":"3c3e74b24da32405ff22415d6c303ba1","content_type":"application/pdf","data_digest":"RB5mmFhHAxso2F+eW5c34A==","editors":null,"genre":"article","id":"3bp6c2nr","index_digest":"PsFy82br05goJ2W8xzmzIA==","last_indexed":"2023-10-10 13:57:31 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