CINXE.COM

<!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>Search</title> <meta id="meta-title" property="citation_title" content="Search"/> <meta id="og-title" property="og:title" content="Search"/> <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="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"/> <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 || []; /* tracker methods like "setCustomDimension" should be called before "trackPageView" */ _paq.push(['trackPageView']); _paq.push(['enableLinkTracking']); (function() { var u="//matomo.cdlib.org/"; _paq.push(['setTrackerUrl', u+'matomo.php']); _paq.push(['setSiteId', '7']); var d=document, g=d.createElement('script'), s=d.getElementsByTagName('script')[0]; g.async=true; g.src=u+'matomo.js'; s.parentNode.insertBefore(g,s); })(); </script>  </head> <body> <div id="main"><div data-reactroot=""><div class="body"><a href="#maincontent" class="c-skipnav">Skip to main content</a><div class="l_search"><div><div style="margin-top:-10px"></div><header id="#top" class="c-header"><a class="c-header__logo2" href="/"><picture><source srcSet="/images/logo_eschol-small.svg" media="(min-width: 870px)"/><img src="/images/logo_eschol-mobile.svg" alt="eScholarship"/></picture><div class="c-header__logo2-tagline">Open Access Publications from the University of California</div></a><div class="c-header__search"><form class="c-search1"><label class="c-search1__label" for="c-search1__field">search</label><input type="search" id="c-search1__field" name="q" class="c-search1__field" placeholder="Search over 500,000 items" autoCapitalize="off" value="author:Roach, BJ"/><button type="submit" class="c-search1__submit-button" aria-label="submit search"></button><button type="button" class="c-search1__search-close-button" aria-label="close search field"></button></form></div><button class="c-header__search-open-button" aria-label="open search field"></button></header></div><div class="c-navbar"><nav class="c-nav"><details open="" class="c-nav__main"><summary class="c-nav__main-button">Menu</summary><ul class="c-nav__main-items"><li><details class="c-nav__sub"><summary class="c-nav__sub-button">About eScholarship</summary><div class="c-nav__sub-items"><button class="c-nav__sub-items-button" aria-label="return to menu">Main Menu</button><ul><li><a href="/aboutEschol">About eScholarship</a></li><li><a href="/repository">eScholarship Repository</a></li><li><a href="/publishing">eScholarship Publishing</a></li><li><a href="/policies">Site policies</a></li><li><a href="/terms">Terms of Use and Copyright Information</a></li><li><a href="/privacyPolicy">Privacy statement</a></li></ul></div></details></li><li><details class="c-nav__sub"><summary class="c-nav__sub-button">Campus Sites</summary><div class="c-nav__sub-items"><button class="c-nav__sub-items-button" aria-label="return to menu">Main Menu</button><ul><li><a href="/uc/ucb">UC Berkeley</a></li><li><a href="/uc/ucd">UC Davis</a></li><li><a href="/uc/uci">UC Irvine</a></li><li><a href="/uc/ucla">UCLA</a></li><li><a href="/uc/ucm">UC Merced</a></li><li><a href="/uc/ucr">UC Riverside</a></li><li><a href="/uc/ucsd">UC San Diego</a></li><li><a href="/uc/ucsf">UCSF</a></li><li><a href="/uc/ucsb">UC Santa Barbara</a></li><li><a href="/uc/ucsc">UC Santa Cruz</a></li><li><a href="/uc/ucop">UC Office of the President</a></li><li><a href="/uc/lbnl">Lawrence Berkeley National Laboratory</a></li><li><a href="/uc/anrcs">UC Agriculture & Natural Resources</a></li></ul></div></details></li><li><a href="/ucoapolicies">UC Open Access Policies</a></li><li><a href="/publishing">eScholarship Publishing</a></li></ul></details></nav></div><form id="facetForm" class="c-columns"><aside><div><div class="c-filter"><h1 class="c-filter__heading">Your search: "author:Roach, BJ"</h1><input type="hidden" name="q" value="author:Roach, BJ"/><div class="c-filter__results">8 results</div><div class="c-filter__inactive-note">No filters applied</div><details class="c-filter__active" open=""><summary><span><strong></strong> filters applied</span></summary><button class="c-filter__clear-all">clear all</button><ul class="c-filter__active-list"></ul></details><a href="https://help.escholarship.org/support/solutions/articles/9000148939-using-advanced-search-beta-" class="c-filter__tips">Search tips</a></div><div class="c-refine--has-drawer"><button class="c-refine__button--open">Refine Results</button><button class="c-refine__button--close" hidden="">Back to Results</button><div class="c-refine__drawer--closed"><details class="c-facetbox" open=""><summary class="c-facetbox__summary"><span id="facetbox0">Type of Work</span></summary><fieldset aria-labelledby="facetbox0"><ul class="c-checkbox"><li class=""><input type="checkbox" id="type_of_work-article" class="c-checkbox__input" name="type_of_work" value="article"/><label for="type_of_work-article" class="c-checkbox__label">Article (8)</label></li><li class=""><input type="checkbox" id="type_of_work-monograph" class="c-checkbox__input" name="type_of_work" value="monograph"/><label for="type_of_work-monograph" class="c-checkbox__label">Book (0)</label></li><li class=""><input type="checkbox" id="type_of_work-dissertation" class="c-checkbox__input" name="type_of_work" value="dissertation"/><label for="type_of_work-dissertation" class="c-checkbox__label">Theses (0)</label></li><li class=""><input type="checkbox" id="type_of_work-multimedia" class="c-checkbox__input" name="type_of_work" value="multimedia"/><label for="type_of_work-multimedia" class="c-checkbox__label">Multimedia (0)</label></li></ul></fieldset></details><details class="c-facetbox" open=""><summary class="c-facetbox__summary"><span id="facetbox1">Peer Review</span></summary><fieldset aria-labelledby="facetbox1"><ul class="c-checkbox"><li class=""><input type="checkbox" id="peer_reviewed-1" class="c-checkbox__input" name="peer_reviewed" value="1"/><label for="peer_reviewed-1" class="c-checkbox__label">Peer-reviewed only (8)</label></li></ul></fieldset></details><details class="c-facetbox"><summary class="c-facetbox__summary"><span id="facetbox2">Supplemental Material</span></summary><fieldset aria-labelledby="facetbox2"><ul class="c-checkbox--2column"><li class=""><input type="checkbox" id="supp_file_types-video" class="c-checkbox__input" name="supp_file_types" value="video"/><label for="supp_file_types-video" class="c-checkbox__label">Video (0)</label></li><li class=""><input type="checkbox" id="supp_file_types-audio" class="c-checkbox__input" name="supp_file_types" value="audio"/><label for="supp_file_types-audio" class="c-checkbox__label">Audio (0)</label></li><li class=""><input type="checkbox" id="supp_file_types-images" class="c-checkbox__input" name="supp_file_types" value="images"/><label for="supp_file_types-images" class="c-checkbox__label">Images (0)</label></li><li class=""><input type="checkbox" id="supp_file_types-zip" class="c-checkbox__input" name="supp_file_types" value="zip"/><label for="supp_file_types-zip" class="c-checkbox__label">Zip (0)</label></li><li class=""><input type="checkbox" id="supp_file_types-other_files" class="c-checkbox__input" name="supp_file_types" value="other files"/><label for="supp_file_types-other_files" class="c-checkbox__label">Other files (0)</label></li></ul></fieldset></details><details class="c-facetbox"><summary class="c-facetbox__summary"><span id="facetbox3">Publication Year</span></summary><fieldset aria-labelledby="facetbox3"><div class="c-pubyear"><div class="c-pubyear__field"><label for="c-pubyear__textfield1">From:</label><input type="text" id="c-pubyear__textfield1" name="pub_year_start" maxLength="4" placeholder="1900" value=""/></div><div class="c-pubyear__field"><label for="c-pubyear__textfield2">To:</label><input type="text" id="c-pubyear__textfield2" name="pub_year_end" maxLength="4" placeholder="2024" value=""/></div><button class="c-pubyear__button">Apply</button></div></fieldset></details><details class="c-facetbox"><summary class="c-facetbox__summary"><span id="facetbox4">Campus</span></summary><fieldset aria-labelledby="facetbox4"><ul class="c-checkbox"><li class=""><input type="checkbox" id="campuses-ucb" class="c-checkbox__input" name="campuses" value="ucb"/><label for="campuses-ucb" class="c-checkbox__label">UC Berkeley (0)</label></li><li class=""><input type="checkbox" id="campuses-ucd" class="c-checkbox__input" name="campuses" value="ucd"/><label for="campuses-ucd" class="c-checkbox__label">UC Davis (0)</label></li><li class=""><input type="checkbox" id="campuses-uci" class="c-checkbox__input" name="campuses" value="uci"/><label for="campuses-uci" class="c-checkbox__label">UC Irvine (0)</label></li><li class=""><input type="checkbox" id="campuses-ucla" class="c-checkbox__input" name="campuses" value="ucla"/><label for="campuses-ucla" class="c-checkbox__label">UCLA (0)</label></li><li class=""><input type="checkbox" id="campuses-ucm" class="c-checkbox__input" name="campuses" value="ucm"/><label for="campuses-ucm" class="c-checkbox__label">UC Merced (0)</label></li><li class=""><input type="checkbox" id="campuses-ucr" class="c-checkbox__input" name="campuses" value="ucr"/><label for="campuses-ucr" class="c-checkbox__label">UC Riverside (0)</label></li><li class=""><input type="checkbox" id="campuses-ucsd" class="c-checkbox__input" name="campuses" value="ucsd"/><label for="campuses-ucsd" class="c-checkbox__label">UC San Diego (0)</label></li><li class=""><input type="checkbox" id="campuses-ucsf" class="c-checkbox__input" name="campuses" value="ucsf"/><label for="campuses-ucsf" class="c-checkbox__label">UCSF (8)</label></li><li class=""><input type="checkbox" id="campuses-ucsb" class="c-checkbox__input" name="campuses" value="ucsb"/><label for="campuses-ucsb" class="c-checkbox__label">UC Santa Barbara (0)</label></li><li class=""><input type="checkbox" id="campuses-ucsc" class="c-checkbox__input" name="campuses" value="ucsc"/><label for="campuses-ucsc" class="c-checkbox__label">UC Santa Cruz (0)</label></li><li class=""><input type="checkbox" id="campuses-ucop" class="c-checkbox__input" name="campuses" value="ucop"/><label for="campuses-ucop" class="c-checkbox__label">UC Office of the President (0)</label></li><li class=""><input type="checkbox" id="campuses-lbnl" class="c-checkbox__input" name="campuses" value="lbnl"/><label for="campuses-lbnl" class="c-checkbox__label">Lawrence Berkeley National Laboratory (0)</label></li><li class=""><input type="checkbox" id="campuses-anrcs" class="c-checkbox__input" name="campuses" value="anrcs"/><label for="campuses-anrcs" class="c-checkbox__label">UC Agriculture & Natural Resources (0)</label></li></ul></fieldset></details><details class="c-facetbox"><summary class="c-facetbox__summary"><span id="facetbox5">Department</span></summary><fieldset aria-labelledby="facetbox5"><ul class="c-checkbox"></ul></fieldset></details><details class="c-facetbox"><summary class="c-facetbox__summary"><span id="facetbox6">Journal</span></summary><fieldset aria-labelledby="facetbox6"><ul class="c-checkbox"></ul></fieldset></details><details class="c-facetbox"><summary class="c-facetbox__summary"><span id="facetbox7">Discipline</span></summary><fieldset aria-labelledby="facetbox7"><ul class="c-checkbox"></ul></fieldset></details><details class="c-facetbox"><summary class="c-facetbox__summary"><span id="facetbox8">Reuse License</span></summary><fieldset aria-labelledby="facetbox8"><ul class="c-checkbox"></ul></fieldset></details></div></div><button type="submit" id="facet-form-submit" style="display:none">Search</button></div></aside><main id="maincontent"><section class="o-columnbox1"><header><h2 class="o-columnbox1__heading" aria-live="polite">Scholarly Works (8 results)</h2></header><div class="c-sortpagination"><div class="c-sort"><div class="o-input__droplist1"><label for="c-sort1">Sort By:</label><select name="sort" id="c-sort1" form="facetForm"><option selected="" value="rel">Relevance</option><option value="a-title">A-Z By Title</option><option value="z-title">Z-A By Title</option><option value="a-author">A-Z By Author</option><option value="z-author">Z-A By Author</option><option value="asc">Date Ascending</option><option value="desc">Date Descending</option></select></div></div><input type="hidden" name="start" form="facetForm" value="0"/></div><section class="c-scholworks"><div class="c-scholworks__main-column"><ul class="c-scholworks__tag-list"><li class="c-scholworks__tag-article">Article</li><li class="c-scholworks__tag-peer">Peer Reviewed</li></ul><div><h3 class="c-scholworks__heading"><a href="/uc/item/8qw0q3cb"><div class="c-clientmarkup">Using concurrent EEG and fMRI to probe the state of the brain in schizophrenia</div></a></h3></div><div class="c-authorlist"><ul class="c-authorlist__list"><li class="c-authorlist__begin"><a href="/search/?q=author%3AMathalon%2C%20Daniel">Mathalon, Daniel</a>; </li><li><a href="/search/?q=author%3AFord%2C%20JM">Ford, JM</a>; </li><li><a href="/search/?q=author%3ARoach%2C%20BJ">Roach, BJ</a>; </li><li><a href="/search/?q=author%3APalzes%2C%20VA">Palzes, VA</a>; </li><li class="c-authorlist__end"><a href="/search/?q=author%3AMathalon%2C%20DH">Mathalon, DH</a> </li></ul></div><div class="c-scholworks__publication"><a href="/uc/ucsf_postprints">UC San Francisco Previously Published Works</a> (2016)</div><div class="c-scholworks__media"><ul class="c-medialist"></ul></div></div></section><section class="c-scholworks"><div class="c-scholworks__main-column"><ul class="c-scholworks__tag-list"><li class="c-scholworks__tag-article">Article</li><li class="c-scholworks__tag-peer">Peer Reviewed</li></ul><div><h3 class="c-scholworks__heading"><a href="/uc/item/4xb2j9xj"><div class="c-clientmarkup">Chapter 11 Converging evidence for gamma synchrony deficits in schizophrenia</div></a></h3></div><div class="c-authorlist"><ul class="c-authorlist__list"><li class="c-authorlist__begin"><a href="/search/?q=author%3ARoach%2C%20BJ">Roach, BJ</a>; </li><li><a href="/search/?q=author%3AFord%2C%20JM">Ford, JM</a>; </li><li><a href="/search/?q=author%3AHoffman%2C%20RE">Hoffman, RE</a>; </li><li class="c-authorlist__end"><a href="/search/?q=author%3AMathalon%2C%20DH">Mathalon, DH</a> </li></ul></div><div class="c-scholworks__publication"><a href="/uc/ucsf_postprints">UC San Francisco Previously Published Works</a> (2013)</div><div class="c-scholworks__abstract"><div class="c-clientmarkup"><h3>Background</h3>In electroencephalogram (EEG) studies of auditory steady-state responses (ASSRs), patients with schizophrenia show a deficit in power and/or phase-locking, particularly at the 40 Hz frequency where these responses resonate. In addition, studies of the transient gamma-band response (GBR) elicited by single tones have revealed deficits in gamma power and phase-locking in schizophrenia. We examined the degree to which the 40 Hz ASSR and the transient GBR to single tones are correlated and whether they assess overlapping or distinct gamma-band abnormalities in schizophrenia.<h3>Methods</h3>EEG was recorded during 40 Hz ASSR and auditory oddball paradigms from 28 patients with schizophrenia or schizoaffective disorder (SZ) and 25 age- and gender-matched healthy controls (HC). The ASSR was elicited by 500 ms click trains, and the transient GBR was elicited by the standard tones from the oddball paradigm. Gamma phase and magnitude values, calculated using Morlet wavelet transformations, were used to derive total power and phase-locking measures.<h3>Results</h3>Relative to HC, SZ patients had significant deficits in total gamma power and phase-locking for both ASSR- and GBR-based measures. Within both groups, the 40 Hz ASSR and GBR phase-locking measures were significantly correlated, with a similar trend evident for the total power measures. Moreover, co-varying for GBR substantially reduced 40 Hz ASSR power and phase-locking differences between the groups.<h3>Conclusions</h3>40 Hz ASSR and transient GBR measures provide very similar information about auditory gamma abnormalities in schizophrenia, despite the overall enhancement of 40 Hz ASSR total power and phase-locking values relative to the corresponding GBR values.</div></div><div class="c-scholworks__media"><ul class="c-medialist"></ul></div></div><div class="c-scholworks__ancillary"><a class="c-scholworks__thumbnail" href="/uc/item/4xb2j9xj"><img src="/cms-assets/5d93141b52440cd0a87e2674795db43a923cabe606c2001809bf06c84faf27bd" alt="Cover page: Chapter 11 Converging evidence for gamma synchrony deficits in schizophrenia"/></a></div></section><section class="c-scholworks"><div class="c-scholworks__main-column"><ul class="c-scholworks__tag-list"><li class="c-scholworks__tag-article">Article</li><li class="c-scholworks__tag-peer">Peer Reviewed</li></ul><div><h3 class="c-scholworks__heading"><a href="/uc/item/09w2340x"><div class="c-clientmarkup">Error-related brain activity dissociates hoarding disorder from obsessive-compulsive disorder.</div></a></h3></div><div class="c-authorlist"><ul class="c-authorlist__list"><li class="c-authorlist__begin"><a href="/search/?q=author%3AMathews%2C%20CA">Mathews, CA</a>; </li><li><a href="/search/?q=author%3APerez%2C%20VB">Perez, VB</a>; </li><li><a href="/search/?q=author%3ARoach%2C%20BJ">Roach, BJ</a>; </li><li><a href="/search/?q=author%3AFekri%2C%20S">Fekri, S</a>; </li><li><a href="/search/?q=author%3AVigil%2C%20O">Vigil, O</a>; </li><li><a href="/search/?q=author%3AKupferman%2C%20E">Kupferman, E</a>; </li><li class="c-authorlist__end"><a href="/search/?q=author%3AMathalon%2C%20DH">Mathalon, DH</a> </li></ul></div><div class="c-scholworks__publication"><a href="/uc/ucsf_postprints">UC San Francisco Previously Published Works</a> (2016)</div><div class="c-scholworks__abstract"><div class="c-clientmarkup"><h3>Background</h3>Obsessive-compulsive disorder (OCD) is associated with an abnormally large error-related negativity (ERN), an electrophysiological measure of error monitoring in response to performance errors, but it is unclear if hoarding disorder (HD) also shows this abnormality. This study aimed to determine whether the neurophysiological mechanisms underlying error monitoring are similarly compromised in HD and OCD.<h3>Method</h3>We used a visual flanker task to assess ERN in response to performance errors in 14 individuals with HD, 27 with OCD, 10 with HD+OCD, and 45 healthy controls (HC). Age-corrected performance and ERN amplitudes were examined using analyses of variance and planned pairwise group comparisons.<h3>Results</h3>A main effect of hoarding on ERN (p = 0.031) was observed, indicating ERN amplitudes were attenuated in HD relative to non-HD subjects. A group 脳 age interaction effect on ERN was also evident. In HD-positive subjects, ERN amplitude deficits were significantly greater in younger individuals (r = -0.479, p = 0.018), whereas there were no significant ERN changes with increasing age in OCD and HC participants.<h3>Conclusions</h3>The reduced ERN in HD relative to OCD and HC provides evidence that HD is neurobiologically distinct from OCD, and suggests that deficient error monitoring may be a core pathophysiological feature of HD. This effect was particularly prominent in younger HD participants, further suggesting that deficient error monitoring manifests most strongly early in the illness course and/or in individuals with a relatively early illness onset.</div></div><div class="c-scholworks__media"><ul class="c-medialist"></ul></div></div><div class="c-scholworks__ancillary"><a class="c-scholworks__thumbnail" href="/uc/item/09w2340x"><img src="/cms-assets/cc7d753a6a96a179e006618b9befb8bf422f8872b2fed38217cdabd4a5eb5551" alt="Cover page: Error-related brain activity dissociates hoarding disorder from obsessive-compulsive disorder."/></a></div></section><section class="c-scholworks"><div class="c-scholworks__main-column"><ul class="c-scholworks__tag-list"><li class="c-scholworks__tag-article">Article</li><li class="c-scholworks__tag-peer">Peer Reviewed</li></ul><div><h3 class="c-scholworks__heading"><a href="/uc/item/7tm249mn"><div class="c-clientmarkup">Auditory cortex processes variation in our own speech</div></a></h3></div><div class="c-authorlist"><ul class="c-authorlist__list"><li class="c-authorlist__begin"><a href="/search/?q=author%3AMathalon%2C%20Daniel">Mathalon, Daniel</a>; </li><li><a href="/search/?q=author%3AFord%2C%20Judith">Ford, Judith</a>; </li><li><a href="/search/?q=author%3AHoude%2C%20John">Houde, John</a>; </li><li><a href="/search/?q=author%3ASitek%2C%20KR">Sitek, KR</a>; </li><li><a href="/search/?q=author%3AMathalon%2C%20DH">Mathalon, DH</a>; </li><li><a href="/search/?q=author%3ARoach%2C%20BJ">Roach, BJ</a>; </li><li><a href="/search/?q=author%3AHoude%2C%20JF">Houde, JF</a>; </li><li><a href="/search/?q=author%3ANiziolek%2C%20CA">Niziolek, CA</a>; </li><li class="c-authorlist__end"><a href="/search/?q=author%3AFord%2C%20JM">Ford, JM</a> </li></ul></div><div class="c-scholworks__publication"><a href="/uc/ucsf_postprints">UC San Francisco Previously Published Works</a> (2013)</div><div class="c-scholworks__abstract"><div class="c-clientmarkup">As we talk, we unconsciously adjust our speech to ensure it sounds the way we intend it to sound. However, because speech production involves complex motor planning and execution, no two utterances of the same sound will be exactly the same. Here, we show</div></div><div class="c-scholworks__media"><ul class="c-medialist"></ul></div></div></section><section class="c-scholworks"><div class="c-scholworks__main-column"><ul class="c-scholworks__tag-list"><li class="c-scholworks__tag-article">Article</li><li class="c-scholworks__tag-peer">Peer Reviewed</li></ul><div><h3 class="c-scholworks__heading"><a href="/uc/item/9z17278g"><div class="c-clientmarkup">Deficient suppression of default mode regions during working memory in individuals with early psychosis and at clinical high-risk for psychosis</div></a></h3></div><div class="c-authorlist"><ul class="c-authorlist__list"><li class="c-authorlist__begin"><a href="/search/?q=author%3AMathalon%2C%20Daniel">Mathalon, Daniel</a>; </li><li><a href="/search/?q=author%3AFryer%2C%20SL">Fryer, SL</a>; </li><li><a href="/search/?q=author%3AWoods%2C%20SW">Woods, SW</a>; </li><li><a href="/search/?q=author%3AKiehl%2C%20KA">Kiehl, KA</a>; </li><li><a href="/search/?q=author%3ACalhoun%2C%20VD">Calhoun, VD</a>; </li><li><a href="/search/?q=author%3APearlson%2C%20GD">Pearlson, GD</a>; </li><li><a href="/search/?q=author%3ARoach%2C%20BJ">Roach, BJ</a>; </li><li><a href="/search/?q=author%3AFord%2C%20JM">Ford, JM</a>; </li><li><a href="/search/?q=author%3ASrihari%2C%20VH">Srihari, VH</a>; </li><li><a href="/search/?q=author%3AMcGlashan%2C%20TH">McGlashan, TH</a>; </li><li class="c-authorlist__end"><a href="/search/?q=author%3AMathalon%2C%20DH">Mathalon, DH</a> </li></ul></div><div class="c-scholworks__publication"><a href="/uc/ucsf_postprints">UC San Francisco Previously Published Works</a> (2013)</div><div class="c-scholworks__abstract"><div class="c-clientmarkup">Background: The default mode network (DMN) is a set of brain regions typically activated at rest and suppressed during extrinsic cognition. Schizophrenia has been associated with deficient DMN suppression, though the extent to which DMN dysfunction predate</div></div><div class="c-scholworks__media"><ul class="c-medialist"></ul></div></div></section><section class="c-scholworks"><div class="c-scholworks__main-column"><ul class="c-scholworks__tag-list"><li class="c-scholworks__tag-article">Article</li><li class="c-scholworks__tag-peer">Peer Reviewed</li></ul><div><h3 class="c-scholworks__heading"><a href="/uc/item/5fd12953"><div class="c-clientmarkup">Effects of nicotine on the neurophysiological and behavioral effects of ketamine in humans</div></a></h3></div><div class="c-authorlist"><ul class="c-authorlist__list"><li class="c-authorlist__begin"><a href="/search/?q=author%3AMathalon%2C%20Daniel">Mathalon, Daniel</a>; </li><li><a href="/search/?q=author%3AMathalon%2C%20DH">Mathalon, DH</a>; </li><li><a href="/search/?q=author%3AAhn%2C%20KH">Ahn, KH</a>; </li><li><a href="/search/?q=author%3APerry%2C%20EB">Perry, EB</a>; </li><li><a href="/search/?q=author%3ACho%2C%20HS">Cho, HS</a>; </li><li><a href="/search/?q=author%3ARoach%2C%20BJ">Roach, BJ</a>; </li><li><a href="/search/?q=author%3ABlais%2C%20RK">Blais, RK</a>; </li><li><a href="/search/?q=author%3ABhakta%2C%20S">Bhakta, S</a>; </li><li><a href="/search/?q=author%3ARanganathan%2C%20M">Ranganathan, M</a>; </li><li><a href="/search/?q=author%3AFord%2C%20JM">Ford, JM</a>; </li><li class="c-authorlist__end"><a href="/search/?q=author%3AD'Souza%2C%20DC">D'Souza, DC</a> </li></ul></div><div class="c-scholworks__publication"><a href="/uc/ucsf_postprints">UC San Francisco Previously Published Works</a> (2014)</div><div class="c-scholworks__abstract"><div class="c-clientmarkup">Background: N-methyl-d-aspartate (NMDA) receptor hypofunction has been implicated in the pathophysiology of schizophrenia and its associated neurocognitive impairments. The high rate of cigarette smoking in schizophrenia raises questions about how nicotine</div></div><div class="c-scholworks__media"><ul class="c-medialist"></ul></div></div></section><section class="c-scholworks"><div class="c-scholworks__main-column"><ul class="c-scholworks__tag-list"><li class="c-scholworks__tag-article">Article</li><li class="c-scholworks__tag-peer">Peer Reviewed</li></ul><div><h3 class="c-scholworks__heading"><a href="/uc/item/0709b2jq"><div class="c-clientmarkup">Targeting location relates to treatment response in active but not sham rTMS stimulation</div></a></h3></div><div class="c-authorlist"><ul class="c-authorlist__list"><li class="c-authorlist__begin"><a href="/search/?q=author%3ARosen%2C%20AC">Rosen, AC</a>; </li><li><a href="/search/?q=author%3ABhat%2C%20JV">Bhat, JV</a>; </li><li><a href="/search/?q=author%3ACardenas%2C%20VA">Cardenas, VA</a>; </li><li><a href="/search/?q=author%3AEhrlich%2C%20TJ">Ehrlich, TJ</a>; </li><li><a href="/search/?q=author%3AHorwege%2C%20AM">Horwege, AM</a>; </li><li><a href="/search/?q=author%3AMathalon%2C%20DH">Mathalon, DH</a>; </li><li><a href="/search/?q=author%3ARoach%2C%20BJ">Roach, BJ</a>; </li><li><a href="/search/?q=author%3AGlover%2C%20GH">Glover, GH</a>; </li><li><a href="/search/?q=author%3ABadran%2C%20BW">Badran, BW</a>; </li><li><a href="/search/?q=author%3AForman%2C%20SD">Forman, SD</a>; </li><li><a href="/search/?q=author%3AGeorge%2C%20MS">George, MS</a>; </li><li><a href="/search/?q=author%3AThase%2C%20ME">Thase, ME</a>; </li><li><a href="/search/?q=author%3AYurgelun-Todd%2C%20D">Yurgelun-Todd, D</a>; </li><li><a href="/search/?q=author%3ASughrue%2C%20ME">Sughrue, ME</a>; </li><li><a href="/search/?q=author%3ADoyen%2C%20SP">Doyen, SP</a>; </li><li><a href="/search/?q=author%3ANicholas%2C%20PJ">Nicholas, PJ</a>; </li><li><a href="/search/?q=author%3AScott%2C%20JC">Scott, JC</a>; </li><li><a href="/search/?q=author%3ATian%2C%20L">Tian, L</a>; </li><li class="c-authorlist__end"><a href="/search/?q=author%3AYesavage%2C%20JA">Yesavage, JA</a> </li></ul></div><div class="c-scholworks__publication"><a href="/uc/ucsf_postprints">UC San Francisco Previously Published Works</a> (2021)</div><div class="c-scholworks__abstract"><div class="c-clientmarkup"><h3>Background</h3>Precise targeting of brain functional networks is believed critical for treatment efficacy of rTMS (repetitive pulse transcranial magnetic stimulation) in treatment resistant major depression.<h3>Objective</h3>To use imaging data from a "failed" clinical trial of rTMS in Veterans to test whether treatment response was associated with rTMS coil location in active but not sham stimulation, and compare fMRI functional connectivity between those stimulation locations.<h3>Methods</h3>An imaging substudy of 49 Veterans (mean age, 56 years; range, 27-78 years; 39 male) from a randomized, sham-controlled, double-blinded clinical trial of rTMS treatment, grouping participants by clinical response, followed by group comparisons of treatment locations identified by individualized fiducial markers on structural MRI and resting state fMRI derived networks.<h3>Results</h3>The average stimulation location for responders versus nonresponders differed in the active but not in the sham condition (P = .02). The average responder location derived from the active condition showed significant negative functional connectivity with the subgenual cingulate (P < .001) while the nonresponder location did not (P = .17), a finding replicated in independent cohorts of 84 depressed and 35 neurotypical participants. The responder and nonresponder stimulation locations evoked different seed based networks (FDR corrected clusters, all P < .03), revealing additional brain regions related to rTMS treatment outcome.<h3>Conclusion</h3>These results provide evidence from a randomized controlled trial that clinical response to rTMS is related to accuracy in targeting the region within DLPFC that is negatively correlated with subgenual cingulate. These results support the validity of a neuro-functionally informed rTMS therapy target in Veterans.</div></div><div class="c-scholworks__media"><ul class="c-medialist"></ul></div></div><div class="c-scholworks__ancillary"><a class="c-scholworks__thumbnail" href="/uc/item/0709b2jq"><img src="/cms-assets/018a917c36605f580517d407cd3d1da451dfa54961015633a47dbd5e5aee0a5d" alt="Cover page: Targeting location relates to treatment response in active but not sham rTMS stimulation"/></a></div></section><section class="c-scholworks"><div class="c-scholworks__main-column"><ul class="c-scholworks__tag-list"><li class="c-scholworks__tag-article">Article</li><li class="c-scholworks__tag-peer">Peer Reviewed</li></ul><div><h3 class="c-scholworks__heading"><a href="/uc/item/9165r96k"><div class="c-clientmarkup">Anatomical and fMRI-network comparison of multiple DLPFC targeting strategies for repetitive transcranial magnetic stimulation treatment of depression</div></a></h3></div><div class="c-authorlist"><ul class="c-authorlist__list"><li class="c-authorlist__begin"><a href="/search/?q=author%3ACardenas%2C%20VA">Cardenas, VA</a>; </li><li><a href="/search/?q=author%3ABhat%2C%20JV">Bhat, JV</a>; </li><li><a href="/search/?q=author%3AHorwege%2C%20AM">Horwege, AM</a>; </li><li><a href="/search/?q=author%3AEhrlich%2C%20TJ">Ehrlich, TJ</a>; </li><li><a href="/search/?q=author%3ALavacot%2C%20J">Lavacot, J</a>; </li><li><a href="/search/?q=author%3AMathalon%2C%20DH">Mathalon, DH</a>; </li><li><a href="/search/?q=author%3AGlover%2C%20GH">Glover, GH</a>; </li><li><a href="/search/?q=author%3ARoach%2C%20BJ">Roach, BJ</a>; </li><li><a href="/search/?q=author%3ABadran%2C%20BW">Badran, BW</a>; </li><li><a href="/search/?q=author%3AForman%2C%20SD">Forman, SD</a>; </li><li><a href="/search/?q=author%3AGeorge%2C%20MS">George, MS</a>; </li><li><a href="/search/?q=author%3AThase%2C%20ME">Thase, ME</a>; </li><li><a href="/search/?q=author%3AYesavage%2C%20JA">Yesavage, JA</a>; </li><li><a href="/search/?q=author%3AYurgelun-Todd%2C%20D">Yurgelun-Todd, D</a>; </li><li class="c-authorlist__end"><a href="/search/?q=author%3ARosen%2C%20AC">Rosen, AC</a> </li></ul></div><div class="c-scholworks__publication"><a href="/uc/ucsf_postprints">UC San Francisco Previously Published Works</a> (2022)</div><div class="c-scholworks__abstract"><div class="c-clientmarkup"><h3>Background</h3>The efficacy of repetitive transcranial magnetic stimulation (rTMS) for depression may vary depending on the subregion stimulated within the dorsolateral prefrontal cortex (DLPFC). Clinical TMS typically uses scalp-based landmarks for DLPFC targeting, rather than individualized MRI guidance.<h3>Objective</h3>In rTMS patients, determine the brain systems targeted by multiple DLPFC stimulation rules by computing several surrogate measures: underlying brain targets labeled with connectivity-based atlases, subgenual cingulate anticorrelation strength, and functionally connected networks.<h3>Methods</h3>Forty-nine patients in a randomized controlled trial of rTMS therapy for treatment resistant major depression underwent structural and functional MRI. DLPFC rules were applied virtually using MR-image guidance. Underlying cortical regions were labeled, and connectivity with the subgenual cingulate and whole-brain computed.<h3>Results</h3>Scalp-targeting rules applied post hoc to these MRIs that adjusted for head size, including Beam F3, were comparably precise, successful in directly targeting classical DLPFC and frontal networks, and anticorrelated with the subgenual cingulate. In contrast, all rules involving fixed distances introduced variability in regions and networks targeted. The 5 cm rule targeted a transitional DLPFC region with a different connectivity profile from the adjusted rules. Seed-based connectivity analyses identified multiple regions, such as posterior cingulate and inferior parietal lobe, that warrant further study in order to understand their potential contribution to clinical response.<h3>Conclusion</h3>EEG-based rules consistently targeted DLPFC brain regions with resting-state fMRI features known to be associated with depression response. These results provide a bridge from lab to clinic by enabling clinicians to relate scalp-targeting rules to functionally connected brain systems.</div></div><div class="c-scholworks__media"><ul class="c-medialist"></ul></div></div><div class="c-scholworks__ancillary"><a class="c-scholworks__thumbnail" href="/uc/item/9165r96k"><img src="/cms-assets/1ed431a08f3db437c3f5f2501d904c6f1557d460bcd301c682b9e5982b62e8cc" alt="Cover page: Anatomical and fMRI-network comparison of multiple DLPFC targeting strategies for repetitive transcranial magnetic stimulation treatment of depression"/></a></div></section></section></main></form></div><div><div class="c-toplink"><a href="javascript:window.scrollTo(0, 0)">Top</a></div><footer class="c-footer"><nav class="c-footer__nav"><ul><li><a href="/">Home</a></li><li><a href="/aboutEschol">About eScholarship</a></li><li><a href="/campuses">Campus Sites</a></li><li><a href="/ucoapolicies">UC Open Access Policy</a></li><li><a href="/publishing">eScholarship Publishing</a></li><li><a href="https://www.cdlib.org/about/accessibility.html">Accessibility</a></li><li><a href="/privacypolicy">Privacy Statement</a></li><li><a href="/policies">Site Policies</a></li><li><a href="/terms">Terms of Use</a></li><li><a href="/login"><strong>Admin Login</strong></a></li><li><a href="https://help.escholarship.org"><strong>Help</strong></a></li></ul></nav><div class="c-footer__logo"><a href="/"><img class="c-lazyimage" data-src="/images/logo_footer-eschol.svg" alt="eScholarship, University of California"/></a></div><div class="c-footer__copyright">Powered by the<br/><a href="http://www.cdlib.org">California Digital Library</a><br/>Copyright 漏 2017<br/>The Regents of the University of California</div></footer></div></div></div></div> <script>window.jscholApp_initialPageData = {"header":{"campusID":"root","campusName":"eScholarship","ancestorID":null,"ancestorName":null,"campuses":[{"id":"","name":"eScholarship at..."},{"id":"ucb","name":"UC Berkeley"},{"id":"ucd","name":"UC Davis"},{"id":"uci","name":"UC Irvine"},{"id":"ucla","name":"UCLA"},{"id":"ucm","name":"UC Merced"},{"id":"ucr","name":"UC Riverside"},{"id":"ucsd","name":"UC San Diego"},{"id":"ucsf","name":"UCSF"},{"id":"ucsb","name":"UC Santa Barbara"},{"id":"ucsc","name":"UC Santa Cruz"},{"id":"ucop","name":"UC Office of the President"},{"id":"lbnl","name":"Lawrence Berkeley National Laboratory"},{"id":"anrcs","name":"UC Agriculture & Natural Resources"}],"logo":null,"bgColor":null,"elColor":null,"directSubmit":null,"directSubmitURL":null,"directManageURLauthor":null,"directManageURLeditor":null,"nav_bar":[{"id":1,"name":"About eScholarship","type":"folder","sub_nav":[{"id":5,"name":"About eScholarship","slug":"aboutEschol","type":"page","url":"/aboutEschol"},{"id":11,"name":"eScholarship Repository","slug":"repository","type":"page","url":"/repository"},{"id":28,"url":"/publishing","name":"eScholarship Publishing","type":"link"},{"id":29,"name":"Site policies","slug":"policies","type":"page","url":"/policies"},{"id":13,"name":"Terms of Use and Copyright Information","slug":"terms","type":"page","url":"/terms"},{"id":26,"name":"Coming soon","slug":"comingSoon","type":"page","hidden":true,"url":"/comingSoon"},{"id":27,"name":"Privacy statement","slug":"privacyPolicy","type":"page","url":"/privacyPolicy"}]},{"id":2,"name":"Campus Sites","type":"folder","sub_nav":[{"id":15,"url":"/uc/ucb","name":"UC Berkeley","type":"link"},{"id":16,"url":"/uc/ucd","name":"UC Davis","type":"link"},{"id":17,"url":"/uc/uci","name":"UC Irvine","type":"link"},{"id":6,"url":"/uc/ucla","name":"UCLA","type":"link"},{"id":18,"url":"/uc/ucm","name":"UC Merced","type":"link"},{"id":19,"url":"/uc/ucr","name":"UC Riverside","type":"link"},{"id":20,"url":"/uc/ucsd","name":"UC San Diego","type":"link"},{"id":9,"url":"/uc/ucsf","name":"UCSF","type":"link"},{"id":21,"url":"/uc/ucsb","name":"UC Santa Barbara","type":"link"},{"id":22,"url":"/uc/ucsc","name":"UC Santa Cruz","type":"link"},{"id":23,"url":"/uc/ucop","name":"UC Office of the President","type":"link"},{"id":24,"url":"/uc/lbnl","name":"Lawrence Berkeley National Laboratory","type":"link"},{"id":25,"url":"/uc/anrcs","name":"UC Agriculture & Natural Resources","type":"link"}]},{"id":10,"name":"UC Open Access Policies","slug":"ucoapolicies","type":"page","url":"/ucoapolicies"},{"id":12,"name":"eScholarship Publishing","slug":"publishing","type":"page","url":"/publishing"}],"social":{"facebook":null,"twitter":null,"rss":"/rss/unit/root"},"breadcrumb":[{"name":"eScholarship","id":"root","url":"/"}]},"campuses":[{"id":"","name":"eScholarship at..."},{"id":"ucb","name":"UC Berkeley"},{"id":"ucd","name":"UC Davis"},{"id":"uci","name":"UC Irvine"},{"id":"ucla","name":"UCLA"},{"id":"ucm","name":"UC Merced"},{"id":"ucr","name":"UC Riverside"},{"id":"ucsd","name":"UC San Diego"},{"id":"ucsf","name":"UCSF"},{"id":"ucsb","name":"UC Santa Barbara"},{"id":"ucsc","name":"UC Santa Cruz"},{"id":"ucop","name":"UC Office of the President"},{"id":"lbnl","name":"Lawrence Berkeley National Laboratory"},{"id":"anrcs","name":"UC Agriculture & Natural Resources"}],"query":{"q":"author:Roach, BJ","sort":"rel","rows":"10","info_start":"0","start":"0","filters":{}},"count":8,"info_count":0,"infoResults":[],"searchResults":[{"id":"qt8qw0q3cb","title":"Using concurrent EEG and fMRI to probe the state of the brain in schizophrenia","abstract":null,"content_type":null,"author_hide":null,"authors":[{"name":"Mathalon, Daniel","email":"Daniel.Mathalon@ucsf.edu","fname":"Daniel","lname":"Mathalon","institution":"UCSF"},{"name":"Ford, JM","fname":"JM","lname":"Ford"},{"name":"Roach, BJ","fname":"BJ","lname":"Roach"},{"name":"Palzes, VA","fname":"VA","lname":"Palzes"},{"name":"Mathalon, DH","fname":"DH","lname":"Mathalon"}],"supp_files":[{"type":"pdf","count":0},{"type":"image","count":0},{"type":"video","count":0},{"type":"audio","count":0},{"type":"zip","count":0},{"type":"other","count":0}],"thumbnail":null,"pub_year":2016,"genre":"article","rights":null,"peerReviewed":true,"unitInfo":{"displayName":"UC San Francisco Previously Published Works","link_path":"ucsf_postprints"}},{"id":"qt4xb2j9xj","title":"Chapter 11 Converging evidence for gamma synchrony deficits in schizophrenia","abstract":"<h4>Background</h4>In electroencephalogram (EEG) studies of auditory steady-state responses (ASSRs), patients with schizophrenia show a deficit in power and/or phase-locking, particularly at the 40 Hz frequency where these responses resonate. In addition, studies of the transient gamma-band response (GBR) elicited by single tones have revealed deficits in gamma power and phase-locking in schizophrenia. We examined the degree to which the 40 Hz ASSR and the transient GBR to single tones are correlated and whether they assess overlapping or distinct gamma-band abnormalities in schizophrenia.<h4>Methods</h4>EEG was recorded during 40 Hz ASSR and auditory oddball paradigms from 28 patients with schizophrenia or schizoaffective disorder (SZ) and 25 age- and gender-matched healthy controls (HC). The ASSR was elicited by 500 ms click trains, and the transient GBR was elicited by the standard tones from the oddball paradigm. Gamma phase and magnitude values, calculated using Morlet wavelet transformations, were used to derive total power and phase-locking measures.<h4>Results</h4>Relative to HC, SZ patients had significant deficits in total gamma power and phase-locking for both ASSR- and GBR-based measures. Within both groups, the 40 Hz ASSR and GBR phase-locking measures were significantly correlated, with a similar trend evident for the total power measures. Moreover, co-varying for GBR substantially reduced 40 Hz ASSR power and phase-locking differences between the groups.<h4>Conclusions</h4>40 Hz ASSR and transient GBR measures provide very similar information about auditory gamma abnormalities in schizophrenia, despite the overall enhancement of 40 Hz ASSR total power and phase-locking values relative to the corresponding GBR values.","content_type":"application/pdf","author_hide":null,"authors":[{"name":"Roach, BJ","fname":"BJ","lname":"Roach"},{"name":"Ford, JM","fname":"JM","lname":"Ford"},{"name":"Hoffman, RE","fname":"RE","lname":"Hoffman"},{"name":"Mathalon, DH","email":"daniel.mathalon@ucsf.edu","fname":"DH","lname":"Mathalon","ORCID_id":"0000-0001-6090-4974"}],"supp_files":[{"type":"pdf","count":0},{"type":"image","count":0},{"type":"video","count":0},{"type":"audio","count":0},{"type":"zip","count":0},{"type":"other","count":0}],"thumbnail":{"width":121,"height":149,"asset_id":"5d93141b52440cd0a87e2674795db43a923cabe606c2001809bf06c84faf27bd","timestamp":1680543776,"image_type":"png"},"pub_year":2013,"genre":"article","rights":null,"peerReviewed":true,"unitInfo":{"displayName":"UC San Francisco Previously Published Works","link_path":"ucsf_postprints"}},{"id":"qt09w2340x","title":"Error-related brain activity dissociates hoarding disorder from obsessive-compulsive disorder.","abstract":"<h4>Background</h4>Obsessive-compulsive disorder (OCD) is associated with an abnormally large error-related negativity (ERN), an electrophysiological measure of error monitoring in response to performance errors, but it is unclear if hoarding disorder (HD) also shows this abnormality. This study aimed to determine whether the neurophysiological mechanisms underlying error monitoring are similarly compromised in HD and OCD.<h4>Method</h4>We used a visual flanker task to assess ERN in response to performance errors in 14 individuals with HD, 27 with OCD, 10 with HD+OCD, and 45 healthy controls (HC). Age-corrected performance and ERN amplitudes were examined using analyses of variance and planned pairwise group comparisons.<h4>Results</h4>A main effect of hoarding on ERN (p = 0.031) was observed, indicating ERN amplitudes were attenuated in HD relative to non-HD subjects. A group \u00D7 age interaction effect on ERN was also evident. In HD-positive subjects, ERN amplitude deficits were significantly greater in younger individuals (r = -0.479, p = 0.018), whereas there were no significant ERN changes with increasing age in OCD and HC participants.<h4>Conclusions</h4>The reduced ERN in HD relative to OCD and HC provides evidence that HD is neurobiologically distinct from OCD, and suggests that deficient error monitoring may be a core pathophysiological feature of HD. This effect was particularly prominent in younger HD participants, further suggesting that deficient error monitoring manifests most strongly early in the illness course and/or in individuals with a relatively early illness onset.","content_type":"application/pdf","author_hide":null,"authors":[{"name":"Mathews, CA","email":"carol.mathews@ucsf.edu","fname":"CA","lname":"Mathews"},{"name":"Perez, VB","fname":"VB","lname":"Perez"},{"name":"Roach, BJ","fname":"BJ","lname":"Roach","ORCID_id":"0000-0002-3264-1465"},{"name":"Fekri, S","fname":"S","lname":"Fekri"},{"name":"Vigil, O","fname":"O","lname":"Vigil"},{"name":"Kupferman, E","fname":"E","lname":"Kupferman"},{"name":"Mathalon, DH","email":"daniel.mathalon@ucsf.edu","fname":"DH","lname":"Mathalon","ORCID_id":"0000-0001-6090-4974"}],"supp_files":[{"type":"pdf","count":0},{"type":"image","count":0},{"type":"video","count":0},{"type":"audio","count":0},{"type":"zip","count":0},{"type":"other","count":0}],"thumbnail":{"width":121,"height":149,"asset_id":"cc7d753a6a96a179e006618b9befb8bf422f8872b2fed38217cdabd4a5eb5551","timestamp":1682036830,"image_type":"png"},"pub_year":2016,"genre":"article","rights":null,"peerReviewed":true,"unitInfo":{"displayName":"UC San Francisco Previously Published Works","link_path":"ucsf_postprints"}},{"id":"qt7tm249mn","title":"Auditory cortex processes variation in our own speech","abstract":"As we talk, we unconsciously adjust our speech to ensure it sounds the way we intend it to sound. However, because speech production involves complex motor planning and execution, no two utterances of the same sound will be exactly the same. Here, we show","content_type":null,"author_hide":null,"authors":[{"name":"Mathalon, Daniel","email":"Daniel.Mathalon@ucsf.edu","fname":"Daniel","lname":"Mathalon","institution":"UCSF"},{"name":"Ford, Judith","email":"Judith.Ford@ucsf.edu","fname":"Judith","lname":"Ford","institution":"UCSF"},{"name":"Houde, John","email":"houde@phy.ucsf.edu","fname":"John","lname":"Houde","institution":"UCSF"},{"name":"Sitek, KR","fname":"KR","lname":"Sitek"},{"name":"Mathalon, DH","fname":"DH","lname":"Mathalon"},{"name":"Roach, BJ","fname":"BJ","lname":"Roach"},{"name":"Houde, JF","fname":"JF","lname":"Houde"},{"name":"Niziolek, CA","fname":"CA","lname":"Niziolek"},{"name":"Ford, JM","fname":"JM","lname":"Ford"}],"supp_files":[{"type":"pdf","count":0},{"type":"image","count":0},{"type":"video","count":0},{"type":"audio","count":0},{"type":"zip","count":0},{"type":"other","count":0}],"thumbnail":null,"pub_year":2013,"genre":"article","rights":null,"peerReviewed":true,"unitInfo":{"displayName":"UC San Francisco Previously Published Works","link_path":"ucsf_postprints"}},{"id":"qt9z17278g","title":"Deficient suppression of default mode regions during working memory in individuals with early psychosis and at clinical high-risk for psychosis","abstract":"Background: The default mode network (DMN) is a set of brain regions typically activated at rest and suppressed during extrinsic cognition. Schizophrenia has been associated with deficient DMN suppression, though the extent to which DMN dysfunction predate","content_type":null,"author_hide":null,"authors":[{"name":"Mathalon, Daniel","email":"Daniel.Mathalon@ucsf.edu","fname":"Daniel","lname":"Mathalon","institution":"UCSF"},{"name":"Fryer, SL","fname":"SL","lname":"Fryer"},{"name":"Woods, SW","fname":"SW","lname":"Woods"},{"name":"Kiehl, KA","fname":"KA","lname":"Kiehl"},{"name":"Calhoun, VD","fname":"VD","lname":"Calhoun"},{"name":"Pearlson, GD","fname":"GD","lname":"Pearlson"},{"name":"Roach, BJ","fname":"BJ","lname":"Roach"},{"name":"Ford, JM","fname":"JM","lname":"Ford"},{"name":"Srihari, VH","fname":"VH","lname":"Srihari"},{"name":"McGlashan, TH","fname":"TH","lname":"McGlashan"},{"name":"Mathalon, DH","fname":"DH","lname":"Mathalon"}],"supp_files":[{"type":"pdf","count":0},{"type":"image","count":0},{"type":"video","count":0},{"type":"audio","count":0},{"type":"zip","count":0},{"type":"other","count":0}],"thumbnail":null,"pub_year":2013,"genre":"article","rights":null,"peerReviewed":true,"unitInfo":{"displayName":"UC San Francisco Previously Published Works","link_path":"ucsf_postprints"}},{"id":"qt5fd12953","title":"Effects of nicotine on the neurophysiological and behavioral effects of ketamine in humans","abstract":"Background: N-methyl-d-aspartate (NMDA) receptor hypofunction has been implicated in the pathophysiology of schizophrenia and its associated neurocognitive impairments. The high rate of cigarette smoking in schizophrenia raises questions about how nicotine","content_type":null,"author_hide":null,"authors":[{"name":"Mathalon, Daniel","email":"Daniel.Mathalon@ucsf.edu","fname":"Daniel","lname":"Mathalon","institution":"UCSF"},{"name":"Mathalon, DH","fname":"DH","lname":"Mathalon"},{"name":"Ahn, KH","fname":"KH","lname":"Ahn"},{"name":"Perry, EB","fname":"EB","lname":"Perry"},{"name":"Cho, HS","fname":"HS","lname":"Cho"},{"name":"Roach, BJ","fname":"BJ","lname":"Roach"},{"name":"Blais, RK","fname":"RK","lname":"Blais"},{"name":"Bhakta, S","fname":"S","lname":"Bhakta"},{"name":"Ranganathan, M","fname":"M","lname":"Ranganathan"},{"name":"Ford, JM","fname":"JM","lname":"Ford"},{"name":"D'Souza, DC","fname":"DC","lname":"D'Souza"}],"supp_files":[{"type":"pdf","count":0},{"type":"image","count":0},{"type":"video","count":0},{"type":"audio","count":0},{"type":"zip","count":0},{"type":"other","count":0}],"thumbnail":null,"pub_year":2014,"genre":"article","rights":null,"peerReviewed":true,"unitInfo":{"displayName":"UC San Francisco Previously Published Works","link_path":"ucsf_postprints"}},{"id":"qt0709b2jq","title":"Targeting location relates to treatment response in active but not sham rTMS stimulation","abstract":"<h4>Background</h4>Precise targeting of brain functional networks is believed critical for treatment efficacy of rTMS (repetitive pulse transcranial magnetic stimulation) in treatment resistant major depression.<h4>Objective</h4>To use imaging data from a \"failed\" clinical trial of rTMS in Veterans to test whether treatment response was associated with rTMS coil location in active but not sham stimulation, and compare fMRI functional connectivity between those stimulation locations.<h4>Methods</h4>An imaging substudy of 49 Veterans (mean age, 56 years; range, 27-78 years; 39 male) from a randomized, sham-controlled, double-blinded clinical trial of rTMS treatment, grouping participants by clinical response, followed by group comparisons of treatment locations identified by individualized fiducial markers on structural MRI and resting state fMRI derived networks.<h4>Results</h4>The average stimulation location for responders versus nonresponders differed in the active but not in the sham condition (P = .02). The average responder location derived from the active condition showed significant negative functional connectivity with the subgenual cingulate (P < .001) while the nonresponder location did not (P = .17), a finding replicated in independent cohorts of 84 depressed and 35 neurotypical participants. The responder and nonresponder stimulation locations evoked different seed based networks (FDR corrected clusters, all P < .03), revealing additional brain regions related to rTMS treatment outcome.<h4>Conclusion</h4>These results provide evidence from a randomized controlled trial that clinical response to rTMS is related to accuracy in targeting the region within DLPFC that is negatively correlated with subgenual cingulate. These results support the validity of a neuro-functionally informed rTMS therapy target in Veterans.","content_type":"application/pdf","author_hide":null,"authors":[{"name":"Rosen, AC","fname":"AC","lname":"Rosen"},{"name":"Bhat, JV","fname":"JV","lname":"Bhat"},{"name":"Cardenas, VA","fname":"VA","lname":"Cardenas"},{"name":"Ehrlich, TJ","fname":"TJ","lname":"Ehrlich"},{"name":"Horwege, AM","fname":"AM","lname":"Horwege"},{"name":"Mathalon, DH","email":"daniel.mathalon@ucsf.edu","fname":"DH","lname":"Mathalon","ORCID_id":"0000-0001-6090-4974"},{"name":"Roach, BJ","fname":"BJ","lname":"Roach"},{"name":"Glover, GH","fname":"GH","lname":"Glover"},{"name":"Badran, BW","fname":"BW","lname":"Badran"},{"name":"Forman, SD","fname":"SD","lname":"Forman"},{"name":"George, MS","fname":"MS","lname":"George"},{"name":"Thase, ME","fname":"ME","lname":"Thase"},{"name":"Yurgelun-Todd, D","fname":"D","lname":"Yurgelun-Todd"},{"name":"Sughrue, ME","fname":"ME","lname":"Sughrue"},{"name":"Doyen, SP","fname":"SP","lname":"Doyen"},{"name":"Nicholas, PJ","fname":"PJ","lname":"Nicholas"},{"name":"Scott, JC","fname":"JC","lname":"Scott"},{"name":"Tian, L","fname":"L","lname":"Tian"},{"name":"Yesavage, JA","fname":"JA","lname":"Yesavage"}],"supp_files":[{"type":"pdf","count":0},{"type":"image","count":0},{"type":"video","count":0},{"type":"audio","count":0},{"type":"zip","count":0},{"type":"other","count":0}],"thumbnail":{"width":121,"height":149,"asset_id":"018a917c36605f580517d407cd3d1da451dfa54961015633a47dbd5e5aee0a5d","timestamp":1658456979,"image_type":"png"},"pub_year":2021,"genre":"article","rights":null,"peerReviewed":true,"unitInfo":{"displayName":"UC San Francisco Previously Published Works","link_path":"ucsf_postprints"}},{"id":"qt9165r96k","title":"Anatomical and fMRI-network comparison of multiple DLPFC targeting strategies for repetitive transcranial magnetic stimulation treatment of depression","abstract":"<h4>Background</h4>The efficacy of repetitive transcranial magnetic stimulation (rTMS) for depression may vary depending on the subregion stimulated within the dorsolateral prefrontal cortex (DLPFC). Clinical TMS typically uses scalp-based landmarks for DLPFC targeting, rather than individualized MRI guidance.<h4>Objective</h4>In rTMS patients, determine the brain systems targeted by multiple DLPFC stimulation rules by computing several surrogate measures: underlying brain targets labeled with connectivity-based atlases, subgenual cingulate anticorrelation strength, and functionally connected networks.<h4>Methods</h4>Forty-nine patients in a randomized controlled trial of rTMS therapy for treatment resistant major depression underwent structural and functional MRI. DLPFC rules were applied virtually using MR-image guidance. Underlying cortical regions were labeled, and connectivity with the subgenual cingulate and whole-brain computed.<h4>Results</h4>Scalp-targeting rules applied post hoc to these MRIs that adjusted for head size, including Beam F3, were comparably precise, successful in directly targeting classical DLPFC and frontal networks, and anticorrelated with the subgenual cingulate. In contrast, all rules involving fixed distances introduced variability in regions and networks targeted. The 5 cm rule targeted a transitional DLPFC region with a different connectivity profile from the adjusted rules. Seed-based connectivity analyses identified multiple regions, such as posterior cingulate and inferior parietal lobe, that warrant further study in order to understand their potential contribution to clinical response.<h4>Conclusion</h4>EEG-based rules consistently targeted DLPFC brain regions with resting-state fMRI features known to be associated with depression response. These results provide a bridge from lab to clinic by enabling clinicians to relate scalp-targeting rules to functionally connected brain systems.","content_type":"application/pdf","author_hide":null,"authors":[{"name":"Cardenas, VA","fname":"VA","lname":"Cardenas"},{"name":"Bhat, JV","fname":"JV","lname":"Bhat"},{"name":"Horwege, AM","fname":"AM","lname":"Horwege"},{"name":"Ehrlich, TJ","fname":"TJ","lname":"Ehrlich"},{"name":"Lavacot, J","fname":"J","lname":"Lavacot"},{"name":"Mathalon, DH","email":"daniel.mathalon@ucsf.edu","fname":"DH","lname":"Mathalon","ORCID_id":"0000-0001-6090-4974"},{"name":"Glover, GH","fname":"GH","lname":"Glover"},{"name":"Roach, BJ","fname":"BJ","lname":"Roach"},{"name":"Badran, BW","fname":"BW","lname":"Badran"},{"name":"Forman, SD","fname":"SD","lname":"Forman"},{"name":"George, MS","fname":"MS","lname":"George"},{"name":"Thase, ME","fname":"ME","lname":"Thase"},{"name":"Yesavage, JA","fname":"JA","lname":"Yesavage"},{"name":"Yurgelun-Todd, D","fname":"D","lname":"Yurgelun-Todd"},{"name":"Rosen, AC","fname":"AC","lname":"Rosen"}],"supp_files":[{"type":"pdf","count":0},{"type":"image","count":0},{"type":"video","count":0},{"type":"audio","count":0},{"type":"zip","count":0},{"type":"other","count":0}],"thumbnail":{"width":121,"height":149,"asset_id":"1ed431a08f3db437c3f5f2501d904c6f1557d460bcd301c682b9e5982b62e8cc","timestamp":1658459266,"image_type":"png"},"pub_year":2022,"genre":"article","rights":null,"peerReviewed":true,"unitInfo":{"displayName":"UC San Francisco Previously Published Works","link_path":"ucsf_postprints"}}],"facets":[{"display":"Type of Work","fieldName":"type_of_work","facets":[{"value":"article","count":8,"displayName":"Article"},{"value":"monograph","count":0,"displayName":"Book"},{"value":"dissertation","count":0,"displayName":"Theses"},{"value":"multimedia","count":0,"displayName":"Multimedia"}]},{"display":"Peer Review","fieldName":"peer_reviewed","facets":[{"value":"1","count":8,"displayName":"Peer-reviewed only"}]},{"display":"Supplemental Material","fieldName":"supp_file_types","facets":[{"value":"video","count":0,"displayName":"Video"},{"value":"audio","count":0,"displayName":"Audio"},{"value":"images","count":0,"displayName":"Images"},{"value":"zip","count":0,"displayName":"Zip"},{"value":"other files","count":0,"displayName":"Other files"}]},{"display":"Publication Year","fieldName":"pub_year","range":{"pub_year_start":null,"pub_year_end":null}},{"display":"Campus","fieldName":"campuses","facets":[{"value":"ucb","count":0,"displayName":"UC Berkeley"},{"value":"ucd","count":0,"displayName":"UC Davis"},{"value":"uci","count":0,"displayName":"UC Irvine"},{"value":"ucla","count":0,"displayName":"UCLA"},{"value":"ucm","count":0,"displayName":"UC Merced"},{"value":"ucr","count":0,"displayName":"UC Riverside"},{"value":"ucsd","count":0,"displayName":"UC San Diego"},{"value":"ucsf","count":8,"displayName":"UCSF"},{"value":"ucsb","count":0,"displayName":"UC Santa Barbara"},{"value":"ucsc","count":0,"displayName":"UC Santa Cruz"},{"value":"ucop","count":0,"displayName":"UC Office of the President"},{"value":"lbnl","count":0,"displayName":"Lawrence Berkeley National Laboratory"},{"value":"anrcs","count":0,"displayName":"UC Agriculture & Natural Resources"}]},{"display":"Department","fieldName":"departments","facets":[]},{"display":"Journal","fieldName":"journals","facets":[]},{"display":"Discipline","fieldName":"disciplines","facets":[]},{"display":"Reuse License","fieldName":"rights","facets":[]}]};</script> <script src="/js/vendors~app-bundle-7424603c338d723fd773.js"></script> <script src="/js/app-bundle-8362e6d7829414ab4baa.js"></script> </body> </html>