| Title |
Disrupted topological organization of the frontal-mesolimbic network in obese patients
|
|---|---|
| Published in |
Brain Imaging and Behavior, January 2018
|
| DOI | 10.1007/s11682-017-9802-z |
| Pubmed ID | |
| Authors |
Qianqian Meng, Yu Han, Gang Ji, Guanya Li, Yang Hu, Li Liu, Qingchao Jin, Karen M. von Deneen, Jizheng Zhao, Guangbin Cui, Huaning Wang, Dardo Tomasi, Nora D. Volkow, Jixin Liu, Yongzhan Nie, Yi Zhang, Gene-Jack Wang |
| Abstract |
Neuroimaging studies have revealed brain functional abnormalities in frontal-mesolimbic regions in obesity. However, the effects of obesity on brain network topology remains largely unknown. In the current study, we employed resting-state functional magnetic resonance imaging and graph theory methods to investigate obesity-related changes in brain network topology in 26 obese patients and 28 normal weight subjects. Results revealed that the whole-brain networks of the two groups exhibited typical features of small-world topology. Obese patients showed significantly increased shortest path length (Lp) and decreased global efficiency (Eglob). Moreover, decreased nodal-degree/efficiency was found in frontal (medial orbitofrontal cortex-mOFC, rostral anterior cingulate cortex-rACC), striatal (caudate/nucleus accumbens) and limbic regions (insula, amygdala, hippocampus/parahippocampal gyrus) and thalamus in obese patients. Network-based statistics showed that a sub-network, composed of 31 nodes and 30 edges, was significantly disrupted in obese patients; 29 out of 30 connections were associated with the right rACC. In the obese group, Lp and Eglob were negatively correlated with body mass index (BMI, P < 0.005), and BMI was negatively correlated with nodal-degree/efficiency of the mOFC (P < 0.001). Findings suggest disruption of the small-world organization and a global reduction of integration of functional brain networks involving the right rACC in obesity and implicating the mOFC in mediating severity. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 18% |
| Researcher | 5 | 9% |
| Student > Doctoral Student | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Student > Postgraduate | 4 | 7% |
| Other | 9 | 16% |
| Unknown | 20 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 11 | 19% |
| Psychology | 8 | 14% |
| Medicine and Dentistry | 7 | 12% |
| Nursing and Health Professions | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 25 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 January 2018.
All research outputs
#18,581,651
of 23,015,156 outputs
Outputs from Brain Imaging and Behavior
#862
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Outputs of similar age
#331,486
of 443,116 outputs
Outputs of similar age from Brain Imaging and Behavior
#20
of 34 outputs
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