Cortical thickness of the inferior parietal lobule as a potential predictor of relapse in men with alcohol dependence
Alcohol dependence is a disorder with a high recurrence rate that leads to a considerable public health burden. The risk of relapse appears to be related to a complex interplay of multiple factors. Herein, we aimed to explore the potential neural predictors of relapse in Chinese male patients with a...
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Veröffentlicht in: | Brain imaging and behavior 2024-04, Vol.18 (2), p.331-342 |
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creator | Yang, Kebing Du, Ruonan Yang, Qingyan Zhao, Rongjiang Fan, Fengmei Chen, Song Luo, Xingguang Tan, Shuping Wang, Zhiren Yu, Ting Tian, Baopeng Le, Thang M. Li, Chiang-Shan R. Tan, Yunlong |
description | Alcohol dependence is a disorder with a high recurrence rate that leads to a considerable public health burden. The risk of relapse appears to be related to a complex interplay of multiple factors. Herein, we aimed to explore the potential neural predictors of relapse in Chinese male patients with alcohol dependence. This study enrolled 58 male patients with alcohol dependence who had undergone acute detoxification. General demographic information and clinical features were collected. Magnetic resonance imaging data were used to measure cortical thickness across 34 regions of the brain. Patients were followed up at six months, and 51 patients completed the follow-up visit. These patients were divided into a relapser and an abstainer group. A binary logistic regression analysis was performed to investigate the potential risk factors of relapse. Compared to abstainers, relapsers showed higher inattention and non-planning impulsivity on the 11th version of the Barratt Impulsive Scale. The cortical thicknesses of the inferior-parietal lobules were significantly higher in abstainers compared with those in relapsers. Furthermore, binary logistic regression analysis showed that the thickness of the inferior parietal lobule predicted relapse, and lower non-planning impulse was a protective factor against relapse. Relapsers show poorer impulse control than abstainers, and structural magnetic resonance imaging revealed a decreased thickness of the inferior parietal lobule in relapsers. Our results indicate the thickness of the inferior parietal lobule as a potential relapse predictor in male patients with alcohol dependence. |
doi_str_mv | 10.1007/s11682-023-00838-7 |
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The risk of relapse appears to be related to a complex interplay of multiple factors. Herein, we aimed to explore the potential neural predictors of relapse in Chinese male patients with alcohol dependence. This study enrolled 58 male patients with alcohol dependence who had undergone acute detoxification. General demographic information and clinical features were collected. Magnetic resonance imaging data were used to measure cortical thickness across 34 regions of the brain. Patients were followed up at six months, and 51 patients completed the follow-up visit. These patients were divided into a relapser and an abstainer group. A binary logistic regression analysis was performed to investigate the potential risk factors of relapse. Compared to abstainers, relapsers showed higher inattention and non-planning impulsivity on the 11th version of the Barratt Impulsive Scale. The cortical thicknesses of the inferior-parietal lobules were significantly higher in abstainers compared with those in relapsers. Furthermore, binary logistic regression analysis showed that the thickness of the inferior parietal lobule predicted relapse, and lower non-planning impulse was a protective factor against relapse. Relapsers show poorer impulse control than abstainers, and structural magnetic resonance imaging revealed a decreased thickness of the inferior parietal lobule in relapsers. Our results indicate the thickness of the inferior parietal lobule as a potential relapse predictor in male patients with alcohol dependence.</description><identifier>ISSN: 1931-7557</identifier><identifier>EISSN: 1931-7565</identifier><identifier>DOI: 10.1007/s11682-023-00838-7</identifier><identifier>PMID: 38078981</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Alcohol ; Biomedical and Life Sciences ; Biomedicine ; Dependence ; Detoxification ; Drug dependence ; Impulsive behavior ; Magnetic resonance imaging ; Medical imaging ; Neuroimaging ; Neuropsychology ; Neuroradiology ; Neurosciences ; Psychiatry ; Public health ; Regression analysis ; Risk factors ; Thickness measurement</subject><ispartof>Brain imaging and behavior, 2024-04, Vol.18 (2), p.331-342</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-a87a3a5a9576eb3d3f27b6353f5007d521e86007e1ee46821b604672a6373ed73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11682-023-00838-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11682-023-00838-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38078981$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yang, Kebing</creatorcontrib><creatorcontrib>Du, Ruonan</creatorcontrib><creatorcontrib>Yang, Qingyan</creatorcontrib><creatorcontrib>Zhao, Rongjiang</creatorcontrib><creatorcontrib>Fan, Fengmei</creatorcontrib><creatorcontrib>Chen, Song</creatorcontrib><creatorcontrib>Luo, Xingguang</creatorcontrib><creatorcontrib>Tan, Shuping</creatorcontrib><creatorcontrib>Wang, Zhiren</creatorcontrib><creatorcontrib>Yu, Ting</creatorcontrib><creatorcontrib>Tian, Baopeng</creatorcontrib><creatorcontrib>Le, Thang M.</creatorcontrib><creatorcontrib>Li, Chiang-Shan R.</creatorcontrib><creatorcontrib>Tan, Yunlong</creatorcontrib><title>Cortical thickness of the inferior parietal lobule as a potential predictor of relapse in men with alcohol dependence</title><title>Brain imaging and behavior</title><addtitle>Brain Imaging and Behavior</addtitle><addtitle>Brain Imaging Behav</addtitle><description>Alcohol dependence is a disorder with a high recurrence rate that leads to a considerable public health burden. The risk of relapse appears to be related to a complex interplay of multiple factors. Herein, we aimed to explore the potential neural predictors of relapse in Chinese male patients with alcohol dependence. This study enrolled 58 male patients with alcohol dependence who had undergone acute detoxification. General demographic information and clinical features were collected. Magnetic resonance imaging data were used to measure cortical thickness across 34 regions of the brain. Patients were followed up at six months, and 51 patients completed the follow-up visit. These patients were divided into a relapser and an abstainer group. A binary logistic regression analysis was performed to investigate the potential risk factors of relapse. Compared to abstainers, relapsers showed higher inattention and non-planning impulsivity on the 11th version of the Barratt Impulsive Scale. The cortical thicknesses of the inferior-parietal lobules were significantly higher in abstainers compared with those in relapsers. Furthermore, binary logistic regression analysis showed that the thickness of the inferior parietal lobule predicted relapse, and lower non-planning impulse was a protective factor against relapse. Relapsers show poorer impulse control than abstainers, and structural magnetic resonance imaging revealed a decreased thickness of the inferior parietal lobule in relapsers. Our results indicate the thickness of the inferior parietal lobule as a potential relapse predictor in male patients with alcohol dependence.</description><subject>Alcohol</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Dependence</subject><subject>Detoxification</subject><subject>Drug dependence</subject><subject>Impulsive behavior</subject><subject>Magnetic resonance imaging</subject><subject>Medical imaging</subject><subject>Neuroimaging</subject><subject>Neuropsychology</subject><subject>Neuroradiology</subject><subject>Neurosciences</subject><subject>Psychiatry</subject><subject>Public health</subject><subject>Regression analysis</subject><subject>Risk factors</subject><subject>Thickness measurement</subject><issn>1931-7557</issn><issn>1931-7565</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kU9vFSEUxYnR2Fr9Ai4aEjfdjAL38WeW5qWtTZq40TVhZu74qDyYAhPjt5fna2vioisu8DvnXjiEvOfsI2dMfyqcKyM6JqBjzIDp9AtyynvgnZZKvnyqpT4hb0q5Y0xuTM9fkxMwTJve8FOyblOufnSB1p0ff0Yshaa5bZD6OGP2KdPFZY-1ISENa0DqCnV0SRVj9e10yTj5sTawCTMGt5SDmO4x0l--7qgLY9qlQCdcME4YR3xLXs0uFHz3sJ6R71eX37Zfutuv1zfbz7fdCELVzhntwEnXS61wgAlmoQcFEmbZ3j9JwdGoViFH3LSv4INiG6WFU6ABJw1n5OLou-R0v2Kpdu_LiCG4iGktVvRM9ADQy4Z--A-9S2uObToLTEkOuuebRokjNeZUSsbZLtnvXf5tObOHUOwxFNtCsX9DsYcpzh-s12GP05PkMYUGwBEo7Sr-wPyv9zO2fwBtoJdP</recordid><startdate>20240401</startdate><enddate>20240401</enddate><creator>Yang, Kebing</creator><creator>Du, Ruonan</creator><creator>Yang, Qingyan</creator><creator>Zhao, Rongjiang</creator><creator>Fan, Fengmei</creator><creator>Chen, Song</creator><creator>Luo, Xingguang</creator><creator>Tan, Shuping</creator><creator>Wang, Zhiren</creator><creator>Yu, Ting</creator><creator>Tian, Baopeng</creator><creator>Le, Thang M.</creator><creator>Li, Chiang-Shan R.</creator><creator>Tan, Yunlong</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TK</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>20240401</creationdate><title>Cortical thickness of the inferior parietal lobule as a potential predictor of relapse in men with alcohol dependence</title><author>Yang, Kebing ; Du, Ruonan ; Yang, Qingyan ; Zhao, Rongjiang ; Fan, Fengmei ; Chen, Song ; Luo, Xingguang ; Tan, Shuping ; Wang, Zhiren ; Yu, Ting ; Tian, Baopeng ; Le, Thang M. ; Li, Chiang-Shan R. ; Tan, Yunlong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-a87a3a5a9576eb3d3f27b6353f5007d521e86007e1ee46821b604672a6373ed73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Alcohol</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Dependence</topic><topic>Detoxification</topic><topic>Drug dependence</topic><topic>Impulsive behavior</topic><topic>Magnetic resonance imaging</topic><topic>Medical imaging</topic><topic>Neuroimaging</topic><topic>Neuropsychology</topic><topic>Neuroradiology</topic><topic>Neurosciences</topic><topic>Psychiatry</topic><topic>Public health</topic><topic>Regression analysis</topic><topic>Risk factors</topic><topic>Thickness measurement</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Kebing</creatorcontrib><creatorcontrib>Du, Ruonan</creatorcontrib><creatorcontrib>Yang, Qingyan</creatorcontrib><creatorcontrib>Zhao, Rongjiang</creatorcontrib><creatorcontrib>Fan, Fengmei</creatorcontrib><creatorcontrib>Chen, Song</creatorcontrib><creatorcontrib>Luo, Xingguang</creatorcontrib><creatorcontrib>Tan, Shuping</creatorcontrib><creatorcontrib>Wang, Zhiren</creatorcontrib><creatorcontrib>Yu, Ting</creatorcontrib><creatorcontrib>Tian, Baopeng</creatorcontrib><creatorcontrib>Le, Thang M.</creatorcontrib><creatorcontrib>Li, Chiang-Shan R.</creatorcontrib><creatorcontrib>Tan, Yunlong</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Brain imaging and behavior</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Kebing</au><au>Du, Ruonan</au><au>Yang, Qingyan</au><au>Zhao, Rongjiang</au><au>Fan, Fengmei</au><au>Chen, Song</au><au>Luo, Xingguang</au><au>Tan, Shuping</au><au>Wang, Zhiren</au><au>Yu, Ting</au><au>Tian, Baopeng</au><au>Le, Thang M.</au><au>Li, Chiang-Shan R.</au><au>Tan, Yunlong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cortical thickness of the inferior parietal lobule as a potential predictor of relapse in men with alcohol dependence</atitle><jtitle>Brain imaging and behavior</jtitle><stitle>Brain Imaging and Behavior</stitle><addtitle>Brain Imaging Behav</addtitle><date>2024-04-01</date><risdate>2024</risdate><volume>18</volume><issue>2</issue><spage>331</spage><epage>342</epage><pages>331-342</pages><issn>1931-7557</issn><eissn>1931-7565</eissn><abstract>Alcohol dependence is a disorder with a high recurrence rate that leads to a considerable public health burden. The risk of relapse appears to be related to a complex interplay of multiple factors. Herein, we aimed to explore the potential neural predictors of relapse in Chinese male patients with alcohol dependence. This study enrolled 58 male patients with alcohol dependence who had undergone acute detoxification. General demographic information and clinical features were collected. Magnetic resonance imaging data were used to measure cortical thickness across 34 regions of the brain. Patients were followed up at six months, and 51 patients completed the follow-up visit. These patients were divided into a relapser and an abstainer group. A binary logistic regression analysis was performed to investigate the potential risk factors of relapse. Compared to abstainers, relapsers showed higher inattention and non-planning impulsivity on the 11th version of the Barratt Impulsive Scale. The cortical thicknesses of the inferior-parietal lobules were significantly higher in abstainers compared with those in relapsers. Furthermore, binary logistic regression analysis showed that the thickness of the inferior parietal lobule predicted relapse, and lower non-planning impulse was a protective factor against relapse. Relapsers show poorer impulse control than abstainers, and structural magnetic resonance imaging revealed a decreased thickness of the inferior parietal lobule in relapsers. Our results indicate the thickness of the inferior parietal lobule as a potential relapse predictor in male patients with alcohol dependence.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>38078981</pmid><doi>10.1007/s11682-023-00838-7</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Alcohol Biomedical and Life Sciences Biomedicine Dependence Detoxification Drug dependence Impulsive behavior Magnetic resonance imaging Medical imaging Neuroimaging Neuropsychology Neuroradiology Neurosciences Psychiatry Public health Regression analysis Risk factors Thickness measurement |
title | Cortical thickness of the inferior parietal lobule as a potential predictor of relapse in men with alcohol dependence |
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