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

Research output: Contribution to journalArticleScientificpeer-review

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.
Original languageEnglish
JournalCerebral Cortex
Volume28
Issue number2
Pages (from-to)549–560
Number of pages12
ISSN1047-3211
DOIs
Publication statusPublished - Feb 2018
MoE publication typeA1 Journal article-refereed

Fields of Science

  • 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

Cite this

@article{5ca12678d39a42a98800b087cbfdb083,
title = "Spatiotemporal dynamics of attention networks revealed by representational similarity analysis of EEG and fMRI",
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.",
keywords = "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",
author = "Viljami Salmela and Emma Salo and Juha Salmi and Kimmo Alho",
year = "2018",
month = "2",
doi = "10.1093/cercor/bhw389",
language = "English",
volume = "28",
pages = "549–560",
journal = "Cerebral Cortex",
issn = "1047-3211",
publisher = "Oxford University Press",
number = "2",

}

Spatiotemporal dynamics of attention networks revealed by representational similarity analysis of EEG and fMRI. / Salmela, Viljami; Salo, Emma; Salmi, Juha; Alho, Kimmo.

In: Cerebral Cortex, Vol. 28, No. 2, 02.2018, p. 549–560.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Spatiotemporal dynamics of attention networks revealed by representational similarity analysis of EEG and fMRI

AU - Salmela, Viljami

AU - Salo, Emma

AU - Salmi, Juha

AU - Alho, Kimmo

PY - 2018/2

Y1 - 2018/2

N2 - 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.

AB - 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.

KW - 515 Psychology

KW - ATTENTION

KW - BRAIN NETWORKS

KW - EEG

KW - fMRI

KW - representational similarity analysis

KW - INDEPENDENT COMPONENT ANALYSIS

KW - FUNCTIONAL CONNECTIVITY

KW - SELECTIVE-ATTENTION

KW - HUMAN BRAIN

KW - NEURAL MECHANISMS

KW - VISUAL-ATTENTION

KW - WHOLE-BRAIN

KW - CORTEX

KW - frontoparietal

KW - POTENTIALS

U2 - 10.1093/cercor/bhw389

DO - 10.1093/cercor/bhw389

M3 - Article

VL - 28

SP - 549

EP - 560

JO - Cerebral Cortex

JF - Cerebral Cortex

SN - 1047-3211

IS - 2

ER -