Title: Abnormal white matter structural networks characterize heroin-dependent individuals: a network analysis
Abstract: Addiction BiologyVolume 21, Issue 3 p. 667-678 HUMAN NEUROIMAGING STUDY Abnormal white matter structural networks characterize heroin-dependent individuals: a network analysis Ruibin Zhang, Corresponding Author Ruibin Zhang Centre for the Study of Applied Psychology, Guangdong Key Laboratory of Mental Healthy and Cognitive Science of Guangdong Province, School of Psychology, South China Normal University, ChinaRuibin Zhang, Guihua Jiang, Junzhang Tian and Yingwei Qiu contributed equally to this work.Present address: Department of Psychology, The University of Hong Kong, Pokfulam, HongKong.Correspondence to: Ruiwang Huang, Center for the Study of Applied Psychology, Key Laboratory of Mental Healthy and Cognitive Science of Guangdong Province, School of Psychology, South China Normal University, Guangzhou 510631, China. E-mail: [email protected] for more papers by this authorGuihua Jiang, Guihua Jiang Department of Medical Imaging, Guangdong No. 2 Provincial People's Hospital, ChinaRuibin Zhang, Guihua Jiang, Junzhang Tian and Yingwei Qiu contributed equally to this work.Search for more papers by this authorJunzhang Tian, Junzhang Tian Department of Medical Imaging, Guangdong No. 2 Provincial People's Hospital, ChinaRuibin Zhang, Guihua Jiang, Junzhang Tian and Yingwei Qiu contributed equally to this work.Search for more papers by this authorYingwei Qiu, Yingwei Qiu Department of Medical Imaging, Guangdong No. 2 Provincial People's Hospital, ChinaRuibin Zhang, Guihua Jiang, Junzhang Tian and Yingwei Qiu contributed equally to this work.Search for more papers by this authorXue Wen, Xue Wen Centre for the Study of Applied Psychology, Guangdong Key Laboratory of Mental Healthy and Cognitive Science of Guangdong Province, School of Psychology, South China Normal University, ChinaSearch for more papers by this authorAndrew Zalesky, Andrew Zalesky Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, AustraliaSearch for more papers by this authorMeng Li, Meng Li Department of Medical Imaging, Guangdong No. 2 Provincial People's Hospital, ChinaSearch for more papers by this authorXiaofen Ma, Xiaofen Ma Department of Medical Imaging, Guangdong No. 2 Provincial People's Hospital, ChinaSearch for more papers by this authorJunjing Wang, Junjing Wang Centre for the Study of Applied Psychology, Guangdong Key Laboratory of Mental Healthy and Cognitive Science of Guangdong Province, School of Psychology, South China Normal University, ChinaSearch for more papers by this authorShumei Li, Shumei Li Department of Medical Imaging, Guangdong No. 2 Provincial People's Hospital, ChinaSearch for more papers by this authorTianyue Wang, Tianyue Wang Department of Medical Imaging, Guangdong No. 2 Provincial People's Hospital, ChinaSearch for more papers by this authorChanghong Li, Changhong Li Centre for the Study of Applied Psychology, Guangdong Key Laboratory of Mental Healthy and Cognitive Science of Guangdong Province, School of Psychology, South China Normal University, ChinaSearch for more papers by this authorRuiwang Huang, Ruiwang Huang Centre for the Study of Applied Psychology, Guangdong Key Laboratory of Mental Healthy and Cognitive Science of Guangdong Province, School of Psychology, South China Normal University, ChinaSearch for more papers by this author Ruibin Zhang, Corresponding Author Ruibin Zhang Centre for the Study of Applied Psychology, Guangdong Key Laboratory of Mental Healthy and Cognitive Science of Guangdong Province, School of Psychology, South China Normal University, ChinaRuibin Zhang, Guihua Jiang, Junzhang Tian and Yingwei Qiu contributed equally to this work.Present address: Department of Psychology, The University of Hong Kong, Pokfulam, HongKong.Correspondence to: Ruiwang Huang, Center for the Study of Applied Psychology, Key Laboratory of Mental Healthy and Cognitive Science of Guangdong Province, School of Psychology, South China Normal University, Guangzhou 510631, China. E-mail: [email protected] for more papers by this authorGuihua Jiang, Guihua Jiang Department of Medical Imaging, Guangdong No. 2 Provincial People's Hospital, ChinaRuibin Zhang, Guihua Jiang, Junzhang Tian and Yingwei Qiu contributed equally to this work.Search for more papers by this authorJunzhang Tian, Junzhang Tian Department of Medical Imaging, Guangdong No. 2 Provincial People's Hospital, ChinaRuibin Zhang, Guihua Jiang, Junzhang Tian and Yingwei Qiu contributed equally to this work.Search for more papers by this authorYingwei Qiu, Yingwei Qiu Department of Medical Imaging, Guangdong No. 2 Provincial People's Hospital, ChinaRuibin Zhang, Guihua Jiang, Junzhang Tian and Yingwei Qiu contributed equally to this work.Search for more papers by this authorXue Wen, Xue Wen Centre for the Study of Applied Psychology, Guangdong Key Laboratory of Mental Healthy and Cognitive Science of Guangdong Province, School of Psychology, South China Normal University, ChinaSearch for more papers by this authorAndrew Zalesky, Andrew Zalesky Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, AustraliaSearch for more papers by this authorMeng Li, Meng Li Department of Medical Imaging, Guangdong No. 2 Provincial People's Hospital, ChinaSearch for more papers by this authorXiaofen Ma, Xiaofen Ma Department of Medical Imaging, Guangdong No. 2 Provincial People's Hospital, ChinaSearch for more papers by this authorJunjing Wang, Junjing Wang Centre for the Study of Applied Psychology, Guangdong Key Laboratory of Mental Healthy and Cognitive Science of Guangdong Province, School of Psychology, South China Normal University, ChinaSearch for more papers by this authorShumei Li, Shumei Li Department of Medical Imaging, Guangdong No. 2 Provincial People's Hospital, ChinaSearch for more papers by this authorTianyue Wang, Tianyue Wang Department of Medical Imaging, Guangdong No. 2 Provincial People's Hospital, ChinaSearch for more papers by this authorChanghong Li, Changhong Li Centre for the Study of Applied Psychology, Guangdong Key Laboratory of Mental Healthy and Cognitive Science of Guangdong Province, School of Psychology, South China Normal University, ChinaSearch for more papers by this authorRuiwang Huang, Ruiwang Huang Centre for the Study of Applied Psychology, Guangdong Key Laboratory of Mental Healthy and Cognitive Science of Guangdong Province, School of Psychology, South China Normal University, ChinaSearch for more papers by this author First published: 04 March 2015 https://doi.org/10.1111/adb.12234Citations: 22 Present address: Department of Psychology, The University of Hong Kong, Pokfulam, HongKong. Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Abstract Neuroimaging studies suggested that drug addiction is linked to abnormal brain functional connectivity. However, little is known about the alteration of brain white matter (WM) connectivity in addictive drug users and nearly no study has been performed to examine the alterations of brain WM connectivity in heroin-dependent individuals (HDIs). Diffusion tensor imaging (DTI) offers a comprehensive technique to map the whole brain WM connectivity in vivo. In this study, we acquired DTI datasets from 20 HDIs and 18 healthy controls and constructed their brain WM structural networks using a deterministic fibre tracking approach. Using graph theoretical analysis, we explored the global and nodal topological parameters of brain network for both groups and adopted a network-based statistic (NBS) approach to assess between-group differences in inter-regional WM connections. Statistical analysis indicated the global efficiency and network strength were significantly increased, but the characteristic path length was significantly decreased in the HDIs compared with the controls. We also found that in the HDIs, the nodal efficiency was significantly increased in the left prefrontal cortex, bilateral orbital frontal cortices and left anterior cingulate gyrus. Moreover, the NBS analysis revealed that in the HDIs, the significant increased connections were located in the paralimbic, orbitofrontal, prefrontal and temporal regions. Our results may reflect the disruption of whole brain WM structural networks in the HDIs. Our findings suggest that mapping brain WM structural network may be helpful for better understanding the neuromechanism of heroin addiction. Citing Literature Supporting Information Filename Description adb12234-sup-0001-si.doc893 KB Appendix S1 Data aquisition. Figure S1 Brain white matter with the significant altered diffusion metrics in the heroin-dependent individuals (HDIs) compared with the healthy controls. (a) Fractional anisotropy (FA); (b) Axial diffusivity (λ//); (c) overlap brain white matter tracts derived from both FA and λ// analyses, coloured by blue. Table S1 Summary of diffusion magnetic resonance imaging studies about heroin-dependent individuals (HDIs) compared with healthy controls (HCs). Table S2 The detailed clinical description for each heroin-dependent individual (HDIs). Table S3 Names and abbreviations of the regions of interest (ROIs) defined in the AAL-90 template (45 regions for each hemisphere). Table S4 Inter-nodal connections with significant difference between the heroin-dependent individuals (HDIs) and the healthy controls (HCs) derived from the network-based statistic (NBS) analysis. Compared with the controls, the HDIs showed significantly increased streamline counts in each of the inter-nodal connections (P = 0.029, FWE correction). Table S5 Confidence interval of global parameters in the brain networks of the heroin-dependent individuals (HDIs) and the healthy controls (HCs). Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article. Volume21, Issue3May 2016Pages 667-678 RelatedInformation
Publication Year: 2015
Publication Date: 2015-03-04
Language: en
Type: article
Indexed In: ['crossref', 'pubmed']
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Cited By Count: 30
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