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Updated: Jan 5, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain

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Published on: October 13, 2023

Trait-like variants in human functional brain networks.

Benjamin A Seitzman¹, Caterina Gratton^1,2,3, Timothy O Laumann⁴

¹Department of Neurology, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110; seitzman@wustl.edu caterina.gratton@northwestern.edu.

Proceedings of the National Academy of Sciences of the United States of America

|October 16, 2019

Summary

Individual brain network variants are stable and linked to behavior, suggesting they represent trait-like differences in functional brain organization. These unique brain features offer insights into personal variations in brain function.

Keywords:

functional connectivity individual differences networks resting-state

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Published on: March 21, 2019

Area of Science:

Neuroimaging
Cognitive Neuroscience
Systems Neuroscience

Background:

Resting-state functional magnetic resonance imaging (fMRI) reveals group-level functional brain organization.
Individual functional brain networks exhibit local features distinct from group averages, termed network variants.

Purpose of the Study:

To investigate if network variants represent stable, trait-like individual differences in brain organization.
To explore the functional relevance and behavioral associations of network variants.

Main Methods:

Analysis of multiple resting-state fMRI datasets from highly-sampled individuals.
Characterization of network variant stability, location, and association with functional networks.
Examination of task-evoked signals within network variants.
Clustering of individuals based on network variant characteristics.

Main Results:

Network variants are highly stable within individuals across time.
Variants are consistently located and associated with specific functional networks.
Task-evoked brain activity in variants links to functional variation.
Individual clustering based on variants correlates with behavioral differences.

Conclusions:

Network variant distributions reflect stable, trait-like individual differences in brain organization.
Network variants are functionally relevant and associated with distinct behavioral characteristics.
This work advances understanding of individual variability in human brain function.