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dc.contributor.authorKhan, Sheraz
dc.contributor.authorGabrieli, John D. E.
dc.contributor.authorHamalainen, Matti S.
dc.contributor.authorMoran, Joseph M.
dc.contributor.authorGramfort, Alexandre
dc.contributor.authorShetty, Nandita R.
dc.contributor.authorKitzbichler, Manfred G.
dc.contributor.authorGanesan, Santosh
dc.contributor.authorLee, Su Mei
dc.contributor.authorTager-Flusberg, Helen B.
dc.contributor.authorJoseph, Robert M.
dc.contributor.authorHerbert, Martha R.
dc.contributor.authorKenet, Tal
dc.date.accessioned2013-09-13T13:29:41Z
dc.date.available2013-09-13T13:29:41Z
dc.date.issued2013-01
dc.date.submitted2012-08
dc.identifier.issn0027-8424
dc.identifier.issn1091-6490
dc.identifier.urihttp://hdl.handle.net/1721.1/80709
dc.description.abstractLong-range cortical functional connectivity is often reduced in autism spectrum disorders (ASD), but the nature of local cortical functional connectivity in ASD has remained elusive. We used magnetoencephalography to measure task-related local functional connectivity, as manifested by coupling between the phase of alpha oscillations and the amplitude of gamma oscillations, in the fusiform face area (FFA) of individuals diagnosed with ASD and typically developing individuals while they viewed neutral faces, emotional faces, and houses. We also measured task-related long-range functional connectivity between the FFA and the rest of the cortex during the same paradigm. In agreement with earlier studies, long-range functional connectivity between the FFA and three distant cortical regions was reduced in the ASD group. However, contrary to the prevailing hypothesis in the field, we found that local functional connectivity within the FFA was also reduced in individuals with ASD when viewing faces. Furthermore, the strength of long-range functional connectivity was directly correlated to the strength of local functional connectivity in both groups; thus, long-range and local connectivity were reduced proportionally in the ASD group. Finally, the magnitude of local functional connectivity correlated with ASD severity, and statistical classification using local and long-range functional connectivity data identified ASD diagnosis with 90% accuracy. These results suggest that failure to entrain neuronal assemblies fully both within and across cortical regions may be characteristic of ASD.en_US
dc.description.sponsorshipAutism Consortiumen_US
dc.description.sponsorshipNancy Lurie Marks Family Foundationen_US
dc.description.sponsorshipAutism Speaks (Organization)en_US
dc.description.sponsorshipNational Center for Research Resources (U.S.) (Grant P41RR14075)en_US
dc.description.sponsorshipNational Institute for Biomedical Imaging and Bioengineering (U.S.) (Grant 5R01EB009048)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Cognitive Rhythms Collaborative Grant 1042134)en_US
dc.description.sponsorshipJohn D. and Catherine T. MacArthur Foundationen_US
dc.language.isoen_US
dc.publisherNational Academy of Sciences (U.S.)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1073/pnas.1214533110en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourcePNASen_US
dc.titleLocal and long-range functional connectivity is reduced in concert in autism spectrum disordersen_US
dc.typeArticleen_US
dc.identifier.citationKhan, S., A. Gramfort, N. R. Shetty, M. G. Kitzbichler, S. Ganesan, J. M. Moran, S. M. Lee, et al. “Local and long-range functional connectivity is reduced in concert in autism spectrum disorders.” Proceedings of the National Academy of Sciences 110, no. 8 (February 19, 2013): 3107-3112.en_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_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.departmentMartinos Imaging Center (McGovern Institute for Brain Research at MIT)en_US
dc.contributor.mitauthorKhan, Sherazen_US
dc.contributor.mitauthorGabrieli, John D. E.en_US
dc.contributor.mitauthorHamalainen, Matti S.en_US
dc.contributor.mitauthorMoran, Joseph M.en_US
dc.contributor.mitauthorGramfort, Alexandreen_US
dc.contributor.mitauthorShetty, Nandita R.en_US
dc.contributor.mitauthorKitzbichler, Manfred G.en_US
dc.contributor.mitauthorGanesan, Santoshen_US
dc.contributor.mitauthorLee, Su Meien_US
dc.contributor.mitauthorHerbert, Martha R.en_US
dc.contributor.mitauthorKenet, Talen_US
dc.relation.journalProceedings of the National Academy of Sciencesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsKhan, S.; Gramfort, A.; Shetty, N. R.; Kitzbichler, M. G.; Ganesan, S.; Moran, J. M.; Lee, S. M.; Gabrieli, J. D. E.; Tager-Flusberg, H. B.; Joseph, R. M.; Herbert, M. R.; Hamalainen, M. S.; Kenet, T.en_US
dc.identifier.orcidhttps://orcid.org/0000-0003-1967-7436
dc.identifier.orcidhttps://orcid.org/0000-0003-1158-5692
dc.identifier.orcidhttps://orcid.org/0000-0001-6841-112X
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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