Literature DB >> 32314199

Abnormalities in the thalamo-cortical network in patients with functional constipation.

Lei Liu1, Chunxin Hu1, Yang Hu1, Wenchao Zhang1, Zhida Zhang1, Yueyan Ding1, Yuanyuan Wang1, Karen M von Deneen1, Lijuan Sun2, Huaning Wang3, Shijun Duan4, Kuanrong Mao5, Fan Wang5, Guangbin Cui4, Jixin Liu6, Yongzhan Nie7, Yi Zhang8.   

Abstract

Functional constipation (FCon) is a common functional gastrointestinal disorder (FGID); neuroimaging studies have shown brain functional abnormalities in thalamo-cortical regions in patients with FGID. However, association between FCon and topological characteristics of brain networks remains largely unknown. We employed resting-state functional magnetic resonance imaging (RS-fMRI) and graph theory approach to investigate functional brain topological organization in 42 patients with FCon and 41 healthy controls (HC) from perspectives of global, regional and modular levels. Results showed patients with FCon had a significantly lower normalized clustering coefficient and small-worldness, implying decreased brain functional connectivity. Regions showed altered nodal degree and efficiency mainly located in the thalamus, rostral anterior cingulate cortex (rACC), and supplementary motor area (SMA), which are involved in somatic/sensory, emotional processing and motor-control. For the modular analysis, thalamus, rACC and SMA had an aberrant within-module nodal degree and nodal efficiency, and thalamus-related network exhibited abnormal interaction with the limbic network (amygdala and hippocampal gyrus). Nodal degree in the thalamus was negatively correlated with difficulty of defecation, and nodal degree in the rACC was negatively correlated with sensation of incomplete evacuation. These findings indicated that FCon was associated with abnormalities in the thalamo-cortical network.

Entities:  

Keywords:  Brain connectome; Functional constipation; Graph-theory approach; Modularity; Resting-state fMRI

Year:  2021        PMID: 32314199     DOI: 10.1007/s11682-020-00273-y

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  78 in total

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