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Brain connectome modularity in weight-restored anorexia nervosa and body dysmorphic disorder

Published online by Cambridge University Press:  19 July 2016

A. Zhang
Affiliation:
Department of Psychiatry, University of Illinois-Chicago, Chicago, IL, USA
A. Leow*
Affiliation:
Department of Psychiatry, University of Illinois-Chicago, Chicago, IL, USA Department of Bioengineering, University of Illinois-Chicago, Chicago, IL, USA The Collaborative Neuroimaging Environment for Connectomics (CoNECt), University of Illinois-Chicago, Chicago, IL, USA
L. Zhan
Affiliation:
Computer Engineering Program, University of Wisconsin-Stout, Menomonie, WI, USA
J. GadElkarim
Affiliation:
Department of Psychiatry, University of Illinois-Chicago, Chicago, IL, USA
T. Moody
Affiliation:
Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
S. Khalsa
Affiliation:
Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
M. Strober
Affiliation:
Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
J. D. Feusner
Affiliation:
Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
*
*Address for correspondence: A. Leow, M.D., Ph.D., Department of Psychiatry and Bioengineering, University of Illinois College of Medicine, Room 584, 1601 West Taylor Street, Chicago, IL 60612, USA. (Email: alexfeuillet@gmail.com)

Abstract

Background

Anorexia nervosa (AN) and body dysmorphic disorder (BDD) frequently co-occur, and have several overlapping phenomenological features. Little is known about their shared neurobiology. The aim of the study was to compare modular organization of brain structural connectivity.

Method

We acquired diffusion-weighted magnetic resonance imaging data on unmedicated individuals with BDD (n = 29), weight-restored AN (n = 24) and healthy controls (HC) (n = 31). We constructed connectivity matrices using whole-brain white matter tractography, and compared modular structures across groups.

Results

AN showed abnormal modularity involving frontal, basal ganglia and posterior cingulate nodes. There was a trend in BDD for similar abnormalities, but no significant differences compared with AN. In AN, poor insight correlated with longer path length in right caudal anterior cingulate and right posterior cingulate.

Conclusions

Abnormal network organization patterns in AN, partially shared with BDD, may have implications for understanding integration between reward and habit/ritual formation, as well as conflict monitoring/error detection.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2016 

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