Multi-band MEG signatures of BOLD connectivity reorganization during visuospatial attention

Chiara Favaretto, Sara Spadone, Carlo Sestieri, Viviana Betti, Angelo Cenedese, Stefania Della Penna, Maurizio Corbetta

Research output: Contribution to journalArticlepeer-review

Abstract

The functional architecture of the resting brain, as measured with the blood oxygenation level-dependent functional connectivity (BOLD-FC), is slightly modified during task performance. In previous work, we reported behaviorally relevant BOLD-FC modulations between visual and dorsal attention regions when subjects performed a visuospatial attention task as compared to central fixation (Spadone et al., 2015). Here we use magnetoencephalography (MEG) in the same group of subjects to identify the electrophysiological correlates of the BOLD-FC modulation found in our previous work. While BOLD-FC topography, separately at rest and during visual attention, corresponded to neuromagnetic Band-Limited Power (BLP) correlation in the alpha and beta bands (8–30 Hz), BOLD-FC modulations evoked by performing the visual attention task (Spadone et al. 2015) did not match any specific oscillatory band BLP modulation. Conversely, following the application of an orthogonal spatial decomposition that identifies common inter-subject co-variations, we found that attention–rest BOLD-FC modulations were recapitulated by multi-spectral BLP-FC components. Notably, individual variability of alpha connectivity between Frontal Eye Fields and visual occipital regions, jointly with decreased interaction in the Visual network, correlated with visual discrimination accuracy. In summary, task-rest BOLD connectivity modulations match multi-spectral MEG BLP connectivity.

Original languageEnglish
Article number117781
JournalNeuroImage
Volume230
DOIs
Publication statusPublished - Apr 15 2021

Keywords

  • Band-Limited Power (BLP)
  • fMRI
  • Functional connectivity
  • MEG
  • Principal components analysis
  • Visuospatial attention,

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

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