Graph theory reveals amygdala modules consistent with its anatomical subdivisions

Scientific Reports
Elisabeth C CaparelliYihong Yang

Abstract

Similarities on the cellular and neurochemical composition of the amygdaloid subnuclei suggests their clustering into subunits that exhibit unique functional organization. The topological principle of community structure has been used to identify functional subnetworks in neuroimaging data that reflect the brain effective organization. Here we used modularity to investigate the organization of the amygdala using resting state functional magnetic resonance imaging (rsfMRI) data. Our goal was to determine whether such topological organization would reliably reflect the known neurobiology of individual amygdaloid nuclei, allowing for human imaging studies to accurately reflect the underlying neurobiology. Modularity analysis identified amygdaloid elements consistent with the main anatomical subdivisions of the amygdala that embody distinct functional and structural properties. Additionally, functional connectivity pathways of these subunits and their correlation with task-induced amygdala activation revealed distinct functional profiles consistent with the neurobiology of the amygdala nuclei. These modularity findings corroborate the structure-function relationship between amygdala anatomical substructures, supporting the use of n...Continue Reading

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Citations

Feb 14, 2020·Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology·Robin J KeeleyElliot A Stein
Oct 5, 2019·Scientific Reports·Jingwei LiLucina Q Uddin
Dec 19, 2020·NeuroImage·Krzysztof BielskiIwona Szatkowska
Jan 27, 2021·Clinical Psychology Review·Séverine LannoyPierre Maurage

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Methods Mentioned

BETA
SMA
PCA

Software Mentioned

3dLME
AFNI
MATLAB
SPM8
_ REML
3dClustSim
3dICC
rsFC
FSL
Brain Connectivity Toolbox

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