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Dataset Information

Disrupted resting-state brain network properties in obesity: decreased global and putaminal cortico-striatal network efficiency.


ABSTRACT:

Background

The efficient organization and communication of brain networks underlie cognitive processing and their disruption can lead to pathological behaviours. Few studies have focused on whole-brain networks in obesity and binge eating disorder (BED). Here we used multi-echo resting-state functional magnetic resonance imaging (rsfMRI) along with a data-driven graph theory approach to assess brain network characteristics in obesity and BED.

Method

Multi-echo rsfMRI scans were collected from 40 obese subjects (including 20 BED patients) and 40 healthy controls and denoised using multi-echo independent component analysis (ME-ICA). We constructed a whole-brain functional connectivity matrix with normalized correlation coefficients between regional mean blood oxygenation level

SUBMITTER: Baek K 

PROVIDER: S-EPMC5426347 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature