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Updated: Jun 11, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

FunMaps: a method for parcellating functional brain networks using resting-state functional MRI data.

Jiayu Shao¹, Stephen J Gotts¹, Taylor L Li¹

¹Section on Cognitive Neuropsychology, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States.

Frontiers in Human Neuroscience

|October 9, 2024

Summary

This summary is machine-generated.

We developed FunMaps, a novel method for creating brain parcellations from resting-state functional magnetic resonance imaging (rs-fMRI) data. This approach ensures stability and replicability, overcoming limitations of existing techniques for researchers.

Keywords:

brain networks fMRI functional connectivity parcellation resting-state

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Area of Science:

Neuroimaging
Computational Neuroscience
Brain Mapping

Background:

Resting-state functional magnetic resonance imaging (rs-fMRI) parcellations are crucial for mapping human brain networks.
Current methods often require large datasets and lack robust quantitative evaluation.
Existing techniques face limitations in stability and replicability for individual lab data.

Purpose of the Study:

To introduce FunMaps, a new method for brain parcellation using rs-fMRI data.
To address the practical limitations of existing parcellation techniques regarding sample size and reproducibility.
To provide a flexible and reliable tool for researchers to generate stable brain network maps.

Main Methods:

Developed the FunMaps parcellation routine incorporating data stability and replicability checks.
Utilized multiple random iterations, retaining only network distinctions consistent across data halves.
Implemented a clustering algorithm on group-averaged connectivity maps for network identification.

Main Results:

Demonstrated the efficacy and flexibility of the FunMaps method.
Showcased FunMaps' ability to produce stable and replicable brain parcellations.
Provided step-by-step instructions and publicly available code for the FunMaps routine.

Conclusions:

FunMaps offers a robust solution for creating topographical maps of functional brain networks.
The method enhances the stability and replicability of rs-fMRI parcellations.
FunMaps is publicly available, facilitating its adoption by the research community.