Evidence map›Paper›PMID 28814870›Full record

ArticleNeuropsychiatric disease and treatment2017

Abnormal intrinsic functional hubs in alcohol dependence: evidence from a voxelwise degree centrality analysis.

Xiaoping Luo, Linghong Guo, Xi-Jian Dai, Qinglai Wang, Wenzhong Zhu, Xinjun Miao, Honghan Gong

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Article in Neuropsychiatric disease and treatment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

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30citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

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  4. Review
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  6. Machine Learning of Functional Connectivity to Biotype Alcohol and Nicotine Use Disorders.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiaoping LuoDepartment of Radiology, The First Affiliated Hospital of Nanchang University, Nangchang, Jiangxi, People's Republic of China.
Linghong GuoDepartment of Radiology, The First Affiliated Hospital of Nanchang University, Nangchang, Jiangxi, People's Republic of China.
Xi-Jian DaiDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, People's Republic of China.
Qinglai WangDepartment of Radiology, Wenzhou Chinese Medicine Hospital, Wenzhou, Zhejiang, People's Republic of China.
Wenzhong ZhuDepartment of Radiology, Wenzhou Chinese Medicine Hospital, Wenzhou, Zhejiang, People's Republic of China.
Xinjun MiaoDepartment of Radiology, Wenzhou Chinese Medicine Hospital, Wenzhou, Zhejiang, People's Republic of China.
Honghan GongDepartment of Radiology, The First Affiliated Hospital of Nanchang University, Nangchang, Jiangxi, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the abnormal intrinsic functional hubs in alcohol dependence using voxelwise degree centrality analysis approach, and their relationships with clinical features. MATERIALS AND

methodsTwenty-four male alcohol dependence subjects free of medicine (mean age, 50.21±9.62 years) and 24 age- and education-matched male healthy controls (mean age, 50.29±8.92 years) were recruited. The alcohol use disorders identification test and the severity of alcohol dependence questionnaire (SADQ) were administered to assess the severity of alcohol craving. Voxelwise degree centrality approach was used to assess the abnormal intrinsic functional hubs features in alcohol dependence. Simple linear regression analysis was performed to investigate the relationships between the clinical features and abnormal intrinsic functional hubs.

resultsCompared with healthy controls, alcohol dependence subjects exhibited significantly different degree centrality values in widespread left lateralization brain areas, including higher degree centrality values in the left precentral gyrus (BA 6), right hippocampus (BA 35, 36), and left orbitofrontal cortex (BA 11) and lower degree centrality values in the left cerebellum posterior lobe, bilateral secondary visual network (BA 18), and left precuneus (BA 7, 19). SADQ revealed a negative linear correlation with the degree centrality value in the left precentral gyrus (

conclusionThe specific abnormal intrinsic functional hubs appear to be disrupted by alcohol intoxication, which implicates at least three principal neural systems: including cerebellar, executive control, and visual cortex, which may further affect the normal motor behavior such as an explicit type of impaired driving behavior. These findings expand our understanding of the functional characteristics of alcohol dependence and may provide a new insight into the understanding of the dysfunction and pathophysiology of alcohol dependence.

Indexed as

alcohol addictiondegree centralityfunctional connectivity driving behaviorfunctional magnetic resonance imagingsubstance dependence

Identifiers

PMID28814870
PMCPMC5546828

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