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

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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

Title: Spatiotemporal dynamics of attention networks revealed by representational similarity analysis of EEG and fMRI
Author: Salmela, Viljami; Salo, Emma; Salmi, Juha; Alho, Kimmo
Contributor organization: Perception Action Cognition
Medicum
Department of Psychology and Logopedics
Kimmo Alho
Attention and Memory Networks Research Group
Date: 2018-02
Language: eng
Number of pages: 12
Belongs to series: Cerebral Cortex
ISSN: 1047-3211
DOI: https://doi.org/10.1093/cercor/bhw389
URI: http://hdl.handle.net/10138/311843
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.
Subject: 515 Psychology
ATTENTION
BRAIN NETWORKS
EEG
fMRI
representational similarity analysis
INDEPENDENT COMPONENT ANALYSIS
FUNCTIONAL CONNECTIVITY
SELECTIVE-ATTENTION
HUMAN BRAIN
NEURAL MECHANISMS
VISUAL-ATTENTION
WHOLE-BRAIN
CORTEX
frontoparietal
POTENTIALS
Peer reviewed: Yes
Usage restriction: openAccess
Self-archived version: acceptedVersion
Funder: SUOMEN AKATEMIA
SUOMEN AKATEMIA
Grant number:


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