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Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
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Tracking spatial dynamics of functional connectivity during a task.

Lei Wu1, Arvind Caprihan2, Vince Calhoun3

  • 1Tri-institutional center for Translational Research in Neuroimaging and Data Science (TReNDS) Center, Georgia Institute of Technology, Emory University, Georgia State University, Atlanta 30303, GA, United States; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque 87131, Mexico.

Neuroimage
|June 27, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to analyze spatial dynamics in brain functional connectivity (FC) using fMRI. The findings reveal that brain networks exhibit spatial variability over time, linked to cognitive task performance and mental states.

Keywords:
Dynamic functional connectivityICAIntra/inter-network connectivitySpatial dynamicsTask analysis

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Medical Imaging

Background:

  • Functional connectivity (FC) from fMRI reveals brain organization.
  • Temporal variability in the functional connectome is linked to mental status.
  • Existing dynamic FC studies often assume intra-network stationarity.

Purpose of the Study:

  • To develop a novel method for examining spatial dynamics of FC without assuming intra-network stationarity.
  • To validate the approach by assessing spatial connectivity variations with task conditions.
  • To explore the relationship between spatial FC dynamics and cognitive processes.

Main Methods:

  • Applied a novel method to fMRI data during an auditory oddball task (AOD).
  • Analyzed spatial variability of functional connectivity over time.
  • Utilized cluster analysis to link spatial FC dynamics to cognitive task states.

Main Results:

  • Connectivity networks demonstrated spatial variability over time, beyond conventional temporal dynamics (dFNC).
  • Identified distinct task-guided states, including a reduction in task stimulus synchrony with default mode network (DMN) and attentional network anticorrelation.
  • Observed an increasing occurrence of task desynchrony states lacking DMN anticorrelation.

Conclusions:

  • The study provides evidence for spatial dynamics in brain connectivity, influenced by cognitive tasks.
  • The novel method captures more detailed spatial information compared to macroscopic dFNC.
  • Spatial FC dynamics offer novel insights into cognition and mental status.