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dc.contributor.authorFeingold, Joseph
dc.contributor.authorGibson, Daniel J.
dc.contributor.authorDePasquale, Brian
dc.contributor.authorGraybiel, Ann M.
dc.date.accessioned2016-05-04T16:42:17Z
dc.date.available2016-05-04T16:42:17Z
dc.date.issued2015-11
dc.date.submitted2015-07
dc.identifier.issn0027-8424
dc.identifier.issn1091-6490
dc.identifier.urihttp://hdl.handle.net/1721.1/102400
dc.description.abstractStudies of neural oscillations in the beta band (13–30 Hz) have demonstrated modulations in beta-band power associated with sensory and motor events on time scales of 1 s or more, and have shown that these are exaggerated in Parkinson’s disease. However, even early reports of beta activity noted extremely fleeting episodes of beta-band oscillation lasting <150 ms. Because the interpretation of possible functions for beta-band oscillations depends strongly on the time scale over which they occur, and because of these oscillations’ potential importance in Parkinson’s disease and related disorders, we analyzed in detail the distributions of duration and power for beta-band activity in a large dataset recorded in the striatum and motor-premotor cortex of macaque monkeys performing reaching tasks. Both regions exhibited typical beta-band suppression during movement and postmovement rebounds of up to 3 s as viewed in data averaged across trials, but single-trial analysis showed that most beta oscillations occurred in brief bursts, commonly 90–115 ms long. In the motor cortex, the burst probabilities peaked following the last movement, but in the striatum, the burst probabilities peaked at task end, after reward, and continued through the postperformance period. Thus, what appear to be extended periods of postperformance beta-band synchronization reflect primarily the modulated densities of short bursts of synchrony occurring in region-specific and task-time-specific patterns. We suggest that these short-time-scale events likely underlie the functions of most beta-band activity, so that prolongation of these beta episodes, as observed in Parkinson’s disease, could produce deleterious network-level signaling.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R01 NS025529)en_US
dc.description.sponsorshipUnited States. Office of Naval Research (Grant N00014-07-1-0903)en_US
dc.description.sponsorshipUnited States. Defense Advanced Research Projects Agency (Grant NBCHC070105)en_US
dc.language.isoen_US
dc.publisherNational Academy of Sciences (U.S.)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1073/pnas.1517629112en_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.sourceNational Academy of Sciences (U.S.)en_US
dc.titleBursts of beta oscillation differentiate postperformance activity in the striatum and motor cortex of monkeys performing movement tasksen_US
dc.typeArticleen_US
dc.identifier.citationFeingold, Joseph, Daniel J. Gibson, Brian DePasquale, and Ann M. Graybiel. “Bursts of Beta Oscillation Differentiate Postperformance Activity in the Striatum and Motor Cortex of Monkeys Performing Movement Tasks.” Proc Natl Acad Sci USA 112, no. 44 (October 12, 2015): 13687–13692.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.mitauthorFeingold, Josephen_US
dc.contributor.mitauthorGibson, Daniel J.en_US
dc.contributor.mitauthorDePasquale, Brianen_US
dc.contributor.mitauthorGraybiel, Ann M.en_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.orderedauthorsFeingold, Joseph; Gibson, Daniel J.; DePasquale, Brian; Graybiel, Ann M.en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-4326-7720
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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