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Multimodal imaging of brain connectivity reveals predictors of individual decision strategy in statistical learning.

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cam.issuedOnline2019-01-14
datacite.issourceof.doi10.17863/CAM.34876
datacite.issupplementedby.urlhttps://doi.org/10.17863/CAM.34876
dc.contributor.authorKarlaftis, Vasilis M
dc.contributor.authorGiorgio, Joseph
dc.contributor.authorVértes, Petra E
dc.contributor.authorWang, Rui
dc.contributor.authorShen, Yuan
dc.contributor.authorTino, Peter
dc.contributor.authorWelchman, Andrew E
dc.contributor.authorKourtzi, Zoe
dc.contributor.orcidKarlaftis, Vasilis M [0000-0003-1285-1593]
dc.contributor.orcidKourtzi, Zoe [0000-0001-9441-7832]
dc.date.accessioned2019-01-18T00:31:55Z
dc.date.available2019-01-18T00:31:55Z
dc.date.issued2019-03-01
dc.description.abstractSuccessful human behaviour depends on the brain's ability to extract meaningful structure from information streams and make predictions about future events. Individuals can differ markedly in the decision strategies they use to learn the environment's statistics, yet we have little idea why. Here, we investigate whether the brain networks involved in learning temporal sequences without explicit reward differ depending on the decision strategy that individuals adopt. We demonstrate that individuals alter their decision strategy in response to changes in temporal statistics and engage dissociable circuits: extracting the exact sequence statistics relates to plasticity in motor corticostriatal circuits, while selecting the most probable outcomes relates to plasticity in visual, motivational and executive corticostriatal circuits. Combining graph metrics of functional and structural connectivity, we provide evidence that learning-dependent changes in these circuits predict individual decision strategy. Our findings propose brain plasticity mechanisms that mediate individual ability for interpreting the structure of variable environments.
dc.description.sponsorshipThis work was supported by grants to ZK from the Biotechnology and Biological Sciences Research Council (H012508 and BB/P021255/1), the Leverhulme Trust (RF-2011-811 378), the Alan Turing Institute (TU/B/000095), the Wellcome Trust (205067/Z/16/Z) and the [European Community's] Seventh Framework Programme [FP7/2007-2013] under agreement PITN-GA-2011-290011, AEW from the Wellcome Trust (095183/Z/10/Z) and the [European Community's] Seventh Framework Programme [FP7/2007-2013] under agreement PITN-GA-2012-316746, PT from Engineering and Physical Sciences Research Council (EP/L000296/1), PEV from the MRC (MR/K020706/1).
dc.format.mediumPrint
dc.identifier.doi10.17863/CAM.35511
dc.identifier.eissn2397-3374
dc.identifier.issn2397-3374
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/288195
dc.languageeng
dc.language.isoeng
dc.publisherSpringer Science and Business Media LLC
dc.publisher.urlhttp://dx.doi.org/10.1038/s41562-018-0503-4
dc.subject1701 Psychology
dc.subject1109 Neurosciences
dc.subjectBiomedical
dc.subjectBehavioral and Social Science
dc.subjectNeurosciences
dc.subjectBioengineering
dc.subjectBrain Disorders
dc.subjectBasic Behavioral and Social Science
dc.subjectMental Health
dc.subjectNeurological
dc.subject1.2 Psychological and socioeconomic processes
dc.subject1.1 Normal biological development and functioning
dc.subject2.3 Psychological, social and economic factors
dc.titleMultimodal imaging of brain connectivity reveals predictors of individual decision strategy in statistical learning.
dc.typeArticle
dcterms.dateAccepted2018-11-20
prism.endingPage307
prism.publicationDate2019
prism.publicationNameNat Hum Behav
prism.startingPage297
prism.volume3
pubs.funder-project-idEuropean Commission (290011)
pubs.funder-project-idLeverhulme Trust (RF-2011-378)
pubs.funder-project-idEuropean Commission (316746)
pubs.funder-project-idWellcome Trust (205067/Z/16/Z)
pubs.funder-project-idESRC (ES/M500409/1)
pubs.funder-project-idBiotechnology and Biological Sciences Research Council (BB/P021255/1)
pubs.funder-project-idAlan Turing Institute (EP/N510129/1)
pubs.funder-project-idMQ: Transforming Mental Health (MQ17-24 Vertes)
pubs.funder-project-idMedical Research Council (MR/K020706/1)
pubs.funder-project-idWellcome Trust (095183/Z/10/Z)
rioxxterms.licenseref.startdate2019-03
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeJournal Article/Review
rioxxterms.versionAM
rioxxterms.versionofrecord10.1038/s41562-018-0503-4

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