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Abnormal Brain Network Organization in Body Dysmorphic Disorder
被引:0
|作者:
Donatello Arienzo
Alex Leow
Jesse A Brown
Liang Zhan
Johnson GadElkarim
Sarit Hovav
Jamie D Feusner
机构:
[1] University of Illinois,Department of Psychiatry
[2] Chicago,Department of Bioengineering
[3] University of Illinois,Department of Neurology
[4] Chicago,Department of Electrical and Computer Engineering
[5] Community Psychiatry,Department of Psychiatry and Biobehavioral Sciences
[6] Center for Cognitive Neuroscience,undefined
[7] University of California,undefined
[8] Los Angeles,undefined
[9] David Geffen School of Medicine at UCLA,undefined
[10] Imaging Genetics Center,undefined
[11] Laboratory of Neuro Imaging,undefined
[12] University of California,undefined
[13] Los Angeles,undefined
[14] David Geffen School of Medicine at UCLA,undefined
[15] University of Illinois,undefined
[16] Chicago,undefined
[17] University of California,undefined
[18] Los Angeles,undefined
[19] David Geffen School of Medicine at UCLA,undefined
来源:
关键词:
graph theory;
DTI;
connectivity;
clustering coefficient;
global efficiency;
betweenness centrality;
D O I:
暂无
中图分类号:
学科分类号:
摘要:
Body dysmorphic disorder (BDD) is characterized by preoccupation with misperceived defects of appearance, causing significant distress and disability. Previous studies suggest abnormalities in information processing characterized by greater local relative to global processing. The purpose of this study was to probe whole-brain and regional white matter network organization in BDD, and to relate this to specific metrics of symptomatology. We acquired diffusion-weighted 34-direction MR images from 14 unmedicated participants with DSM-IV BDD and 16 healthy controls, from which we conducted whole-brain deterministic diffusion tensor imaging tractography. We then constructed white matter structural connectivity matrices to derive whole-brain and regional graph theory metrics, which we compared between groups. Within the BDD group, we additionally correlated these metrics with scores on psychometric measures of BDD symptom severity as well as poor insight/delusionality. The BDD group showed higher whole-brain mean clustering coefficient than controls. Global efficiency negatively correlated with BDD symptom severity. The BDD group demonstrated greater edge betweenness centrality for connections between the anterior temporal lobe and the occipital cortex, and between bilateral occipital poles. This represents the first brain network analysis in BDD. Results suggest disturbances in whole brain structural topological organization in BDD, in addition to correlations between clinical symptoms and network organization. There is also evidence of abnormal connectivity between regions involved in lower-order visual processing and higher-order visual and emotional processing, as well as interhemispheric visual information transfer. These findings may relate to disturbances in information processing found in previous studies.
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页码:1130 / 1139
页数:9
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