Brain Functional Connectivity Networks do not Return to Resting-state During Control Trials in Block Design Experiments

Jamal Esmaelpoor, Tommy Peng, Beth Jelfs, Maureen J. Shader, Colette M. McKay, Darren Mao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Many studies on morphology analysis show that if short inter-stimulus intervals separate tasks, the hemodynamic response amplitude will return to the resting-state baseline before the subsequent stimulation onset; hence, responses to successive tasks do not overlap. Accordingly, popular brain imaging analysis techniques assume changes in hemodynamic response amplitude subside after a short time (around 15 seconds). However, whether this assumption holds when studying brain functional connectivity has yet to be investigated. This paper assesses whether or not the functional connectivity network in control trials returns to the resting-state functional connectivity network. Traditionally, control trials in block-design experiments are used to evaluate response morphology to no stimulus. We analyzed data from an event-related experiment with audio and visual stimuli and resting state. Our results showed that functional connectivity networks during control trials were more similar to that of tasks than resting-state networks. In other words, contrary to task-related changes in the hemodynamic amplitude, where responses settle after a short time, the brain's functional connectivity networks do not return to their intrinsic resting-state network in such short intervals.

Original languageEnglish
Title of host publication2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
PublisherIEEE
Number of pages4
ISBN (Electronic)9798350324471
ISBN (Print)9798350324488 (PoD)
DOIs
Publication statusPublished - 11 Dec 2023

Bibliographical note

Acknowledgment:
The Bionics Institute acknowledges the support it receives from the Victorian Government through its Operational Infrastructure Support Program.

Keywords

  • Neuroimaging
  • Visualization
  • Protocols
  • Laplace equations
  • Morphology
  • Reproducibility of results
  • Eigenvalues and eigenfunctions

ASJC Scopus subject areas

  • General Medicine

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