Spatiotemporal Dynamics of Attention Networks Revealed by Representational Similarity Analysis of EEG and fMRI

Research output: Contribution to journalArticle

Researchers

  • V. Salmela
  • E. Salo
  • J. Salmi
  • K. Alho

Research units

  • University of Helsinki
  • Åbo Akademi University
  • Aalto University

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.

Details

Original languageEnglish
Pages (from-to)549-560
Number of pages12
JournalCerebral Cortex
Volume28
Issue number2
Publication statusPublished - 1 Feb 2018
MoE publication typeA1 Journal article-refereed

    Research areas

  • attention, brain networks, EEG, fMRI, representational similarity analysis

ID: 17686399