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dc.contributor.authorVenkataraman, Archana
dc.contributor.authorWhitford, Thomas J.
dc.contributor.authorWestin, Carl-Fredrik
dc.contributor.authorGolland, Polina
dc.contributor.authorKubicki, Marek
dc.date.accessioned2015-12-13T04:13:42Z
dc.date.available2015-12-13T04:13:42Z
dc.date.issued2012-08
dc.identifier.issn09209964
dc.identifier.urihttp://hdl.handle.net/1721.1/100215
dc.description.abstractBackground Schizophrenia has been associated with disturbances in brain connectivity; however the exact nature of these disturbances is not fully understood. Measuring temporal correlations between the functional MRI time courses of spatially disparate brain regions obtained during rest has recently emerged as a popular paradigm for estimating brain connectivity. Previous resting state studies in schizophrenia explored connections related to particular clinical or cognitive symptoms (connectivity within a-priori selected networks), or connections restricted to functional networks obtained from resting state analysis. Relatively little has been done to understand global brain connectivity in schizophrenia. Methods Eighteen patients with chronic schizophrenia and 18 healthy volunteers underwent a resting state fMRI scan on a 3 T magnet. Whole brain temporal correlations have been estimated using resting-state fMRI data and free surfer cortical parcellations. A multivariate classification method was then used to indentify brain connections that distinguish schizophrenia patients from healthy controls. Results The classification procedure achieved a prediction accuracy of 75% in differentiating between groups on the basis of their functional connectivity. Relative to controls, schizophrenia patients exhibited co-existing patterns of increased connectivity between parietal and frontal regions, and decreased connectivity between parietal and temporal regions, and between the temporal cortices bilaterally. The decreased parieto-temporal connectivity was associated with the severity of patients' positive symptoms, while increased fronto-parietal connectivity was associated with patients' negative and general symptoms. Discussion Our analysis revealed two co-existing patterns of functional connectivity abnormalities in schizophrenia, each related to different clinical profiles. Such results provide further evidence that abnormalities in brain connectivity, characteristic of schizophrenia, are directly related to the clinical features of the disorder.en_US
dc.description.sponsorshipNational Alliance for Medical Image Computing (U.S.) (Grant U54 EB005149)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (R01 M074794)en_US
dc.description.sponsorshipMedical Research Council of Australia (Overseas-Based Biomedical Traning Fellowship 520627)en_US
dc.language.isoen_US
dc.publisherElsevieren_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.schres.2012.04.021en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourcePMCen_US
dc.titleWhole brain resting state functional connectivity abnormalities in schizophreniaen_US
dc.typeArticleen_US
dc.identifier.citationVenkataraman, Archana, Thomas J. Whitford, Carl-Fredrik Westin, Polina Golland, and Marek Kubicki. “Whole Brain Resting State Functional Connectivity Abnormalities in Schizophrenia.” Schizophrenia Research 139, no. 1–3 (August 2012): 7–12.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorVenkataraman, Archanaen_US
dc.contributor.mitauthorWhitford, Thomas J.en_US
dc.contributor.mitauthorWestin, Carl-Fredriken_US
dc.contributor.mitauthorGolland, Polinaen_US
dc.relation.journalSchizophrenia Researchen_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.orderedauthorsVenkataraman, Archana; Whitford, Thomas J.; Westin, Carl-Fredrik; Golland, Polina; Kubicki, Mareken_US
dc.identifier.orcidhttps://orcid.org/0000-0003-2516-731X
dc.identifier.orcidhttps://orcid.org/0000-0002-2683-5888
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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