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Disrupted Control Network Connectivity in Abstinent Patients with Alcohol Dependence

Overview of attention for article published in Psychiatry Investigation, May 2017
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Title
Disrupted Control Network Connectivity in Abstinent Patients with Alcohol Dependence
Published in
Psychiatry Investigation, May 2017
DOI 10.4306/pi.2017.14.3.325
Pubmed ID
Authors

Siekyeong Kim, Sungjin Im, Jeonghwan Lee, Sang-Gu Lee

Abstract

Alcohol causes damage to the brain and is associated with various functional impairments. However, much of the brain damage can be reversed by abstaining for enough time. This study aims to investigate the patterns and degrees of brain function in abstinent patients with alcohol dependence by using resting-state functional connectivity. 26 male patients with alcohol dependence (alcohol group) and 28 age-matched male healthy volunteers (control group) were recruited from a mental hospital and the community, respectively. Using 3T MRI scan data, the resting-state functional connectivity of the task-negative and task-positive networks was determined and compared between the groups. There were no significant group differences in the resting-state functional connectivity in the default mode or in the salience and sensorimotor networks. Compared with the control group, the alcohol group showed significantly lower functional connectivity in the executive control network, especially in the cingulo-opercular network and, in some regions of interest, the dorsal attention network. This finding suggests that some brain networks do not normalize their functions after abstinence from drinking, and these results may be helpful in future research to investigate the mechanisms for craving alcohol and alcohol relapse prevention.

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The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 2%
Unknown 46 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 17%
Student > Ph. D. Student 7 15%
Student > Bachelor 6 13%
Researcher 5 11%
Unspecified 4 9%
Other 2 4%
Unknown 15 32%
Readers by discipline Count As %
Psychology 14 30%
Unspecified 4 9%
Medicine and Dentistry 4 9%
Neuroscience 3 6%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 2 4%
Unknown 18 38%