Network-wise analysis of movie-specific information in dynamic functional connectivity using COBE

Priyanka Mittal, Anil K. Sao, Bharat Biswal, Xin Di, Aroor Dinesh Dileep

Research output: Contribution to journalArticlepeer-review

Abstract

Movie watching during functional magnetic resonance imaging has emerged as a promising tool to measure the complex behavior of the brain in response to a stimulus similar to real-life situations. It has been observed that presenting a movie (sequence of events) as a stimulus will lead to a unique time course of dynamic functional connectivity related to movie stimuli that can be compared across the participants. We assume that the observed dynamic functional connectivity across subjects can be divided into following 2 components: (i) specific to a movie stimulus (depicting group-level behavior in functional connectivity) and (ii) individual-specific behavior (not necessarily common across the subjects). In this work, using the dynamic time warping distance measure, we have shown the extent of similarity between the temporal sequences of functional connectivity while the underlying movie stimuli were same and different. Further, the temporal sequence of functional connectivity patterns related to a movie is enhanced by suppressing the subject-specific components of dynamic functional connectivity using common and orthogonal basis extraction. Quantitative analysis using the F-ratio measure reveals significant differences in dynamic functional connectivity within the somatomotor network and default mode network, as well as between the occipital network and somatomotor networks.

Original languageEnglish (US)
Article numberbhae170
JournalCerebral Cortex
Volume34
Issue number4
DOIs
StatePublished - Apr 1 2024

All Science Journal Classification (ASJC) codes

  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience

Keywords

  • brain connectivity
  • COBE
  • DTW
  • fMRI
  • movie watching

Fingerprint

Dive into the research topics of 'Network-wise analysis of movie-specific information in dynamic functional connectivity using COBE'. Together they form a unique fingerprint.

Cite this