Spatiotemporal dynamics of attention networks revealed by representational similarity analysis of EEG and fMRI

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dc.contributor.author Salmela, Viljami
dc.contributor.author Salo, Emma
dc.contributor.author Salmi, Juha
dc.contributor.author Alho, Kimmo
dc.date.accessioned 2020-02-18T08:37:01Z
dc.date.available 2020-02-18T08:37:01Z
dc.date.issued 2018-02
dc.identifier.citation Salmela , V , Salo , E , Salmi , J & Alho , K 2018 , ' Spatiotemporal dynamics of attention networks revealed by representational similarity analysis of EEG and fMRI ' , Cerebral Cortex , vol. 28 , no. 2 , pp. 549–560 . https://doi.org/10.1093/cercor/bhw389
dc.identifier.other PURE: 72326251
dc.identifier.other PURE UUID: 5ca12678-d39a-42a9-8800-b087cbfdb083
dc.identifier.other Scopus: 85041670704
dc.identifier.other WOS: 000423981700011
dc.identifier.other ORCID: /0000-0001-8563-2792/work/43222271
dc.identifier.other ORCID: /0000-0001-7722-879X/work/43223973
dc.identifier.other ORCID: /0000-0001-7218-5321/work/43230127
dc.identifier.uri http://hdl.handle.net/10138/311843
dc.description.abstract The fronto-parietal attention networks have been extensively studied with functional magnetic resonance imaging (fMRI), but spatiotemporal dynamics of these networks are not well understood. We measured event-related potentials (ERPs) with electroencephalography (EEG) and collected fMRI data from identical experiments where participants performed visual and auditory discrimination tasks separately or simultaneously and with or without distractors. To overcome the low temporal resolution of fMRI, we used a novel ERP-based application of multivariate representational similarity analysis (RSA) to parse time-averaged fMRI pattern activity into distinct spatial maps that each corresponded, in representational structure, to a short temporal ERP segment. Discriminant analysis of ERP-fMRI correlations revealed 8 cortical networks-2 sensory, 3 attention, and 3 other-segregated by 4 orthogonal, temporally multifaceted and spatially distributed functions. We interpret these functions as 4 spatiotemporal components of attention: modality-dependent and stimulus-driven orienting, top-down control, mode transition, and response preparation, selection and execution. en
dc.format.extent 12
dc.language.iso eng
dc.relation.ispartof Cerebral Cortex
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject 515 Psychology
dc.subject ATTENTION
dc.subject BRAIN NETWORKS
dc.subject EEG
dc.subject fMRI
dc.subject representational similarity analysis
dc.subject INDEPENDENT COMPONENT ANALYSIS
dc.subject FUNCTIONAL CONNECTIVITY
dc.subject SELECTIVE-ATTENTION
dc.subject HUMAN BRAIN
dc.subject NEURAL MECHANISMS
dc.subject VISUAL-ATTENTION
dc.subject WHOLE-BRAIN
dc.subject CORTEX
dc.subject frontoparietal
dc.subject POTENTIALS
dc.title Spatiotemporal dynamics of attention networks revealed by representational similarity analysis of EEG and fMRI en
dc.type Article
dc.contributor.organization Perception Action Cognition
dc.contributor.organization Medicum
dc.contributor.organization Department of Psychology and Logopedics
dc.contributor.organization Kimmo Alho
dc.contributor.organization Attention and Memory Networks Research Group
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1093/cercor/bhw389
dc.relation.issn 1047-3211
dc.rights.accesslevel openAccess
dc.type.version acceptedVersion
dc.relation.funder SUOMEN AKATEMIA
dc.relation.funder SUOMEN AKATEMIA
dc.relation.grantnumber
dc.relation.grantnumber

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