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dc.contributor.authorDoehrmann, Oliver
dc.contributor.authorPolli, Frida E.
dc.contributor.authorReynolds, Gretchen O.
dc.contributor.authorHorn, Franziska
dc.contributor.authorKeshavan, Anisha
dc.contributor.authorTriantafyllou, Christina
dc.contributor.authorSaygin, Zeynep M.
dc.contributor.authorHofmann, Stefan G.
dc.contributor.authorPollack, Mark
dc.contributor.authorGhosh, Satrajit S.
dc.contributor.authorGabrieli, Susan
dc.contributor.authorGabrieli, John D. E.
dc.date.accessioned2014-07-28T20:33:52Z
dc.date.available2014-07-28T20:33:52Z
dc.date.issued2012-09
dc.date.submitted2012-06
dc.identifier.issn2168-622X
dc.identifier.urihttp://hdl.handle.net/1721.1/88512
dc.description.abstractContext: Current behavioral measures poorly predict treatment outcome in social anxiety disorder (SAD). To our knowledge, this is the first study to examine neuroimaging-based treatment prediction in SAD. Objective: To measure brain activation in patients with SAD as a biomarker to predict subsequent response to cognitive behavioral therapy (CBT). Design: Functional magnetic resonance imaging (fMRI) data were collected prior to CBT intervention. Changes in clinical status were regressed on brain responses and tested for selectivity for social stimuli. Setting: Patients were treated with protocol-based CBT at anxiety disorder programs at Boston University or Massachusetts General Hospital and underwent neuroimaging data collection at Massachusetts Institute of Technology. Patients: Thirty-nine medication-free patients meeting DSM-IV criteria for the generalized subtype of SAD. Interventions: Brain responses to angry vs neutral faces or emotional vs neutral scenes were examined with fMRI prior to initiation of CBT. Main Outcome Measures: Whole-brain regression analyses with differential fMRI responses for angry vs neutral faces and changes in Liebowitz Social Anxiety Scale score as the treatment outcome measure. Results: Pretreatment responses significantly predicted subsequent treatment outcome of patients selectively for social stimuli and particularly in regions of higher-order visual cortex. Combining the brain measures with information on clinical severity accounted for more than 40% of the variance in treatment response and substantially exceeded predictions based on clinical measures at baseline. Prediction success was unaffected by testing for potential confounding factors such as depression severity at baseline. Conclusions: The results suggest that brain imaging can provide biomarkers that substantially improve predictions for the success of cognitive behavioral interventions and more generally suggest that such biomarkers may offer evidence-based, personalized medicine approaches for optimally selecting among treatment options for a patient.en_US
dc.language.isoen_US
dc.relation.isversionofhttp://dx.doi.org/10.1001/2013.jamapsychiatry.5en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcePMCen_US
dc.titlePredicting Treatment Response in Social Anxiety Disorder From Functional Magnetic Resonance Imagingen_US
dc.typeArticleen_US
dc.identifier.citationDoehrmann, Oliver, Satrajit S. Ghosh, Frida E. Polli, Gretchen O. Reynolds, Franziska Horn, Anisha Keshavan, Christina Triantafyllou, et al. “Predicting Treatment Response in Social Anxiety Disorder From Functional Magnetic Resonance Imaging.” JAMA Psychiatry 70, no. 1 (January 1, 2013): 87.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentMcGovern Institute for Brain Research at MITen_US
dc.contributor.mitauthorDoehrmann, Oliveren_US
dc.contributor.mitauthorGhosh, Satrajit S.en_US
dc.contributor.mitauthorPolli, Frida E.en_US
dc.contributor.mitauthorSaygin, Zeynep M.en_US
dc.contributor.mitauthorGabrieli, Susanen_US
dc.contributor.mitauthorGabrieli, John D. E.en_US
dc.contributor.mitauthorTriantafyllou, Christinaen_US
dc.contributor.mitauthorReynolds, Gretchen O.en_US
dc.contributor.mitauthorHorn, Franziskaen_US
dc.contributor.mitauthorKeshavan, Anishaen_US
dc.relation.journalJAMA Psychiatryen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsDoehrmann, Oliver; Ghosh, Satrajit S.; Polli, Frida E.; Reynolds, Gretchen O.; Horn, Franziska; Keshavan, Anisha; Triantafyllou, Christina; Saygin, Zeynep M.; Whitfield-Gabrieli, Susan; Hofmann, Stefan G.; Pollack, Mark; Gabrieli, John D.en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-5312-6729
dc.identifier.orcidhttps://orcid.org/0000-0003-1158-5692
dc.identifier.orcidhttps://orcid.org/0000-0002-2191-0340
dspace.mitauthor.errortrue
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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