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Functional connectivity-based parcellation of amygdala using self-organized mapping: a data driven approach.

Arabinda Mishra¹, Baxter P Rogers, Li Min Chen

¹Vanderbilt University Institute of Imaging Science (VUIIS), Vanderbilt University, Nashville, Tennessee; Department of Radiology and Radiological Science, Vanderbilt University, Nashville, Tennessee.

Human Brain Mapping

|February 19, 2013

Summary

Resting state functional magnetic resonance imaging (fMRI) objectively parcellates the human amygdala into distinct functional subregions. This data-driven approach identifies nuclei based on connectivity patterns, revealing amygdala

Keywords:

connectivity-based parcellation functional connectivity self-organized mapping

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

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Published on: November 8, 2012

Area of Science:

Neuroimaging
Computational Neuroscience
Human Brain Anatomy

Background:

The amygdala's functional heterogeneity is complex.
Objective parcellation methods are needed to delineate its subregions.

Purpose of the Study:

To demonstrate resting state fMRI's utility in objectively parcellating the human amygdala.
To identify functionally distinct amygdala subregions using data-driven clustering.

Main Methods:

Utilized self-organizing maps (SOM) to cluster voxel-wise functional connectivity maps.
Analyzed 25 resting state fMRI datasets.
Optimized functional separation by evaluating inter-subregional connectivity differences.

Main Results:

SOM successfully identified functionally distinct amygdala nuclei.
Results align with previous parcellation studies (probabilistic tractography, cytoarchitectonics).
Confirmed functional diversity through connectivity analysis with other brain regions.

Conclusions:

Resting state fMRI and SOM offer a powerful data-driven method for amygdala parcellation.
This approach can reveal structure-function relationships in the amygdala and other brain regions.
Objective identification of functional subregions supports understanding of amygdala's diverse roles.