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Related Experiment Video

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Modeling the Functional Network for Spatial Navigation in the Human Brain

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Published on: October 13, 2023

Network variants are similar between task and rest states.

Brian T Kraus¹, Diana Perez¹, Zach Ladwig²

¹Department of Psychology, Northwestern University, Evanston, IL 60208, United States.

|January 17, 2021

Summary

Individual brain network variants, identified using functional magnetic resonance imaging (fMRI), are reliably detected during tasks, not just at rest. These task-derived network variants show significant overlap with resting-state patterns, reinforcing their trait-like nature.

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Area of Science:

Neuroimaging
Cognitive Neuroscience
Brain Network Analysis

Background:

Individual-specific functional brain networks, termed "network variants," are reliably identified using resting-state fMRI.
These network variants are thought to represent stable, trait-like markers of individual brain organization.
Previous research has not yet determined if these network variants are stable between resting and task states.

Purpose of the Study:

To investigate the reliability and stability of network variants between resting and task states.
To determine if task-based fMRI data can be used to identify network variants.
To assess the spatial overlap and network assignments of task-derived versus rest-derived network variants.

Main Methods:

Utilized high-precision functional magnetic resonance imaging (fMRI) data from the Midnight Scan Club (MSC).
Identified network variants from both resting-state and various task-based fMRI data.
Quantified the spatial overlap and canonical network assignments between rest and task conditions.

Main Results:

Network variants can be reliably identified using task-based fMRI data.
Task-derived network variants exhibit substantial spatial overlap with resting-state network variants, with some state-specific differences.
Network variants derived from single or multiple tasks align with those identified during rest.
Task and rest states yield similar canonical functional network assignments for network variants.

Conclusions:

Task-based fMRI data are suitable for identifying reliable network variants.
Network variants demonstrate stability across different brain states (rest vs. task), supporting their trait-like nature.
These findings expand the utility of task fMRI for characterizing individual differences in brain organization.