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Default network connectivity as a vulnerability marker for obsessive compulsive disorder

Published online by Cambridge University Press:  04 September 2013

Z. W. Peng
Affiliation:
Neuropsychology and Applied Cognitive Neuroscience Laboratory, Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, People's Republic of China Department of Psychology, South China Normal University, Guangzhou, People's Republic of China Guangzhou Psychiatry Hospital, Guangzhou, People's Republic of China
T. Xu
Affiliation:
Neuropsychology and Applied Cognitive Neuroscience Laboratory, Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, People's Republic of China Key Laboratory of Behavioral Science, Laboratory for Functional Connectome and Development, Institute of Psychology, Chinese Academy of Sciences, Beijing, People's Republic of China
Q. H. He
Affiliation:
Guangzhou Psychiatry Hospital, Guangzhou, People's Republic of China
C. Z. Shi
Affiliation:
Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, People's Republic of China
Z. Wei
Affiliation:
Guangzhou Psychiatry Hospital, Guangzhou, People's Republic of China
G. D. Miao
Affiliation:
Guangzhou Psychiatry Hospital, Guangzhou, People's Republic of China
J. Jing
Affiliation:
Department of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, Guangzhou, People's Republic of China
K. O. Lim
Affiliation:
Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
X. N. Zuo*
Affiliation:
Key Laboratory of Behavioral Science, Laboratory for Functional Connectome and Development, Institute of Psychology, Chinese Academy of Sciences, Beijing, People's Republic of China Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, People's Republic of China
R. C. K. Chan*
Affiliation:
Neuropsychology and Applied Cognitive Neuroscience Laboratory, Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, People's Republic of China Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, People's Republic of China
*
*Address for correspondence: R. C. K. Chan, Ph.D. and Xi-Nian Zuo, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing 100101, People's Republic of China. (Email: [email protected]) [R.C.K.C.] (Email: [email protected]) [X.N.Z.]
*Address for correspondence: R. C. K. Chan, Ph.D. and Xi-Nian Zuo, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing 100101, People's Republic of China. (Email: [email protected]) [R.C.K.C.] (Email: [email protected]) [X.N.Z.]

Abstract

Background

Aberrant functional connectivity within the default network is generally assumed to be involved in the pathophysiology of obsessive compulsive disorder (OCD); however, the genetic risk of default network connectivity in OCD remains largely unknown.

Method

Here, we systematically investigated default network connectivity in 15 OCD patients, 15 paired unaffected siblings and 28 healthy controls. We sought to examine the profiles of default network connectivity in OCD patients and their siblings, exploring the correlation between abnormal default network connectivity and genetic risk for this population.

Results

Compared with healthy controls, OCD patients exhibited reduced strength of default network functional connectivity with the posterior cingulate cortex (PCC), and increased functional connectivity in the right inferior frontal lobe, insula, superior parietal cortex and superior temporal cortex, while their unaffected first-degree siblings only showed reduced local connectivity in the PCC.

Conclusions

These findings suggest that the disruptions of default network functional connectivity might be associated with family history of OCD. The decreased default network connectivity in both OCD patients and their unaffected siblings may serve as a potential marker of OCD.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2013 

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