Shared microstructural features of behavioral and substance addictions revealed in areas of crossing fibers
Abstract Background Similarities between behavioral and substance addictions exist. However, direct neurobiological comparison between addictive disorders is rare. Determination of disorder-specificity (or lack thereof) of alterations within white-matter microstructures will advance understanding of...
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description | Abstract Background Similarities between behavioral and substance addictions exist. However, direct neurobiological comparison between addictive disorders is rare. Determination of disorder-specificity (or lack thereof) of alterations within white-matter microstructures will advance understanding of the pathophysiology of addictions. Methods We compared white-matter microstructural features between individuals with gambling disorder (GD; n=38), cocaine-use disorder (CUD; n=38) and healthy comparison (HC; n=38) participants, as assessed using diffusion-weighted magnetic resonance imaging (dMRI). To provide a more precise estimate of diffusion within regions of complex architecture (e.g., cortico-limbic tracts), analyses were conducted using a crossing-fiber model incorporating local-orientation modeling (tbss_x). Anisotropy estimates for primary and secondary fiber orientations were compared using ANOVAs corrected for multiple comparisons across space using threshold-free cluster enhancement (pFWE |
doi_str_mv | 10.1016/j.bpsc.2016.03.001 |
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Todd, PhD ; Malison, Robert T., MD ; Carroll, Kathleen M., PhD ; Potenza, Marc N., MD, PhD</creator><creatorcontrib>Yip, Sarah W., PhD ; Morie, Kristen P., PhD ; Xu, Jiansong, MD, PhD ; Constable, R. Todd, PhD ; Malison, Robert T., MD ; Carroll, Kathleen M., PhD ; Potenza, Marc N., MD, PhD</creatorcontrib><description>Abstract Background Similarities between behavioral and substance addictions exist. However, direct neurobiological comparison between addictive disorders is rare. Determination of disorder-specificity (or lack thereof) of alterations within white-matter microstructures will advance understanding of the pathophysiology of addictions. Methods We compared white-matter microstructural features between individuals with gambling disorder (GD; n=38), cocaine-use disorder (CUD; n=38) and healthy comparison (HC; n=38) participants, as assessed using diffusion-weighted magnetic resonance imaging (dMRI). To provide a more precise estimate of diffusion within regions of complex architecture (e.g., cortico-limbic tracts), analyses were conducted using a crossing-fiber model incorporating local-orientation modeling (tbss_x). Anisotropy estimates for primary and secondary fiber orientations were compared using ANOVAs corrected for multiple comparisons across space using threshold-free cluster enhancement (pFWE<.05). Results A main effect of group on anisotropy of secondary fiber orientations within the left internal capsule, corona radiata, forceps major and posterior thalamic radiation, involving reduced anisotropy among GD and CUD participants in comparison to HC participants. No differences in anisotropy measures were found between GD and CUD individuals. Conclusions This is the first study to compare diffusion indices directly between behavioral and substance addictions and the largest dMRI study of GD. Our findings indicate similar white-matter microstructural alterations across addictions that cannot be attributed solely to exposure to drugs or alcohol and thus may be a vulnerability mechanism for addictive disorders.</description><identifier>ISSN: 2451-9022</identifier><identifier>ISSN: 2451-9030</identifier><identifier>EISSN: 2451-9030</identifier><identifier>EISSN: 2451-9022</identifier><identifier>DOI: 10.1016/j.bpsc.2016.03.001</identifier><identifier>PMID: 28367515</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Alcohol use disorder ; Behavioral addiction ; Diffusion tensor imaging (DTI) ; Impulsivity ; Pathological gambling ; Psychiatry ; Substance use disorder</subject><ispartof>Biological psychiatry : cognitive neuroscience and neuroimaging, 2017-03, Vol.2 (2), p.188-195</ispartof><rights>2016 Society of Biological Psychiatry</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c510t-36fc3d0b88ce71c076626373b653ecdc0f7b7fbcdbac9867d850a1ba531c09043</citedby><cites>FETCH-LOGICAL-c510t-36fc3d0b88ce71c076626373b653ecdc0f7b7fbcdbac9867d850a1ba531c09043</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28367515$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yip, Sarah W., PhD</creatorcontrib><creatorcontrib>Morie, Kristen P., PhD</creatorcontrib><creatorcontrib>Xu, Jiansong, MD, PhD</creatorcontrib><creatorcontrib>Constable, R. Todd, PhD</creatorcontrib><creatorcontrib>Malison, Robert T., MD</creatorcontrib><creatorcontrib>Carroll, Kathleen M., PhD</creatorcontrib><creatorcontrib>Potenza, Marc N., MD, PhD</creatorcontrib><title>Shared microstructural features of behavioral and substance addictions revealed in areas of crossing fibers</title><title>Biological psychiatry : cognitive neuroscience and neuroimaging</title><addtitle>Biol Psychiatry Cogn Neurosci Neuroimaging</addtitle><description>Abstract Background Similarities between behavioral and substance addictions exist. However, direct neurobiological comparison between addictive disorders is rare. Determination of disorder-specificity (or lack thereof) of alterations within white-matter microstructures will advance understanding of the pathophysiology of addictions. Methods We compared white-matter microstructural features between individuals with gambling disorder (GD; n=38), cocaine-use disorder (CUD; n=38) and healthy comparison (HC; n=38) participants, as assessed using diffusion-weighted magnetic resonance imaging (dMRI). To provide a more precise estimate of diffusion within regions of complex architecture (e.g., cortico-limbic tracts), analyses were conducted using a crossing-fiber model incorporating local-orientation modeling (tbss_x). Anisotropy estimates for primary and secondary fiber orientations were compared using ANOVAs corrected for multiple comparisons across space using threshold-free cluster enhancement (pFWE<.05). Results A main effect of group on anisotropy of secondary fiber orientations within the left internal capsule, corona radiata, forceps major and posterior thalamic radiation, involving reduced anisotropy among GD and CUD participants in comparison to HC participants. No differences in anisotropy measures were found between GD and CUD individuals. Conclusions This is the first study to compare diffusion indices directly between behavioral and substance addictions and the largest dMRI study of GD. Our findings indicate similar white-matter microstructural alterations across addictions that cannot be attributed solely to exposure to drugs or alcohol and thus may be a vulnerability mechanism for addictive disorders.</description><subject>Alcohol use disorder</subject><subject>Behavioral addiction</subject><subject>Diffusion tensor imaging (DTI)</subject><subject>Impulsivity</subject><subject>Pathological gambling</subject><subject>Psychiatry</subject><subject>Substance use disorder</subject><issn>2451-9022</issn><issn>2451-9030</issn><issn>2451-9030</issn><issn>2451-9022</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp9Uk1r3DAQNaWlCUn-QA_Fx17WHVlr2QslUEK_IJBDmvMgjcZZbbzSVrIX8u8rZ5Ol7aEnPaT33ozmTVG8E1AJEOrjpjK7RFWdcQWyAhCvitN62YjFCiS8PuK6PikuUtpAZigAuRJvi5O6k6ptRHNaPNyudWRbbh3FkMY40ThFPZQ96ww4laEvDa_13oX5WntbpsmkUXviUlvraHTBpzLynvWQjZwvs6F-Es6Wyfn7sneGYzov3vR6SHzxfJ4Vd1-__Lz6vri--fbj6vP1ghoB40KqnqQF03XErSBolaqVbKVRjWSyBH1r2t6QNZpWnWpt14AWRjcyk1ewlGfF5cF3N5ktW2I_5t5xF91Wx0cM2uHfL96t8T7ssclVOgHZ4MOzQQy_Jk4jbl0iHgbtOUwJRdfJbika1WZqfaA-_TVyfywjAOegcINzUDgHhSAxx5BF7_9s8Ch5iSUTPh0InMe0dxwxkeM8cusi04g2uP_7X_4jp8F5R3p44EdOmzBFnwNAgalGwNt5VeZNEUrCvCLyNxZBvEY</recordid><startdate>20170301</startdate><enddate>20170301</enddate><creator>Yip, Sarah W., PhD</creator><creator>Morie, Kristen P., PhD</creator><creator>Xu, Jiansong, MD, PhD</creator><creator>Constable, R. Todd, PhD</creator><creator>Malison, Robert T., MD</creator><creator>Carroll, Kathleen M., PhD</creator><creator>Potenza, Marc N., MD, PhD</creator><general>Elsevier Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20170301</creationdate><title>Shared microstructural features of behavioral and substance addictions revealed in areas of crossing fibers</title><author>Yip, Sarah W., PhD ; Morie, Kristen P., PhD ; Xu, Jiansong, MD, PhD ; Constable, R. Todd, PhD ; Malison, Robert T., MD ; Carroll, Kathleen M., PhD ; Potenza, Marc N., MD, PhD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c510t-36fc3d0b88ce71c076626373b653ecdc0f7b7fbcdbac9867d850a1ba531c09043</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Alcohol use disorder</topic><topic>Behavioral addiction</topic><topic>Diffusion tensor imaging (DTI)</topic><topic>Impulsivity</topic><topic>Pathological gambling</topic><topic>Psychiatry</topic><topic>Substance use disorder</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yip, Sarah W., PhD</creatorcontrib><creatorcontrib>Morie, Kristen P., PhD</creatorcontrib><creatorcontrib>Xu, Jiansong, MD, PhD</creatorcontrib><creatorcontrib>Constable, R. Todd, PhD</creatorcontrib><creatorcontrib>Malison, Robert T., MD</creatorcontrib><creatorcontrib>Carroll, Kathleen M., PhD</creatorcontrib><creatorcontrib>Potenza, Marc N., MD, PhD</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Biological psychiatry : cognitive neuroscience and neuroimaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yip, Sarah W., PhD</au><au>Morie, Kristen P., PhD</au><au>Xu, Jiansong, MD, PhD</au><au>Constable, R. Todd, PhD</au><au>Malison, Robert T., MD</au><au>Carroll, Kathleen M., PhD</au><au>Potenza, Marc N., MD, PhD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Shared microstructural features of behavioral and substance addictions revealed in areas of crossing fibers</atitle><jtitle>Biological psychiatry : cognitive neuroscience and neuroimaging</jtitle><addtitle>Biol Psychiatry Cogn Neurosci Neuroimaging</addtitle><date>2017-03-01</date><risdate>2017</risdate><volume>2</volume><issue>2</issue><spage>188</spage><epage>195</epage><pages>188-195</pages><issn>2451-9022</issn><issn>2451-9030</issn><eissn>2451-9030</eissn><eissn>2451-9022</eissn><abstract>Abstract Background Similarities between behavioral and substance addictions exist. However, direct neurobiological comparison between addictive disorders is rare. Determination of disorder-specificity (or lack thereof) of alterations within white-matter microstructures will advance understanding of the pathophysiology of addictions. Methods We compared white-matter microstructural features between individuals with gambling disorder (GD; n=38), cocaine-use disorder (CUD; n=38) and healthy comparison (HC; n=38) participants, as assessed using diffusion-weighted magnetic resonance imaging (dMRI). To provide a more precise estimate of diffusion within regions of complex architecture (e.g., cortico-limbic tracts), analyses were conducted using a crossing-fiber model incorporating local-orientation modeling (tbss_x). Anisotropy estimates for primary and secondary fiber orientations were compared using ANOVAs corrected for multiple comparisons across space using threshold-free cluster enhancement (pFWE<.05). Results A main effect of group on anisotropy of secondary fiber orientations within the left internal capsule, corona radiata, forceps major and posterior thalamic radiation, involving reduced anisotropy among GD and CUD participants in comparison to HC participants. No differences in anisotropy measures were found between GD and CUD individuals. Conclusions This is the first study to compare diffusion indices directly between behavioral and substance addictions and the largest dMRI study of GD. Our findings indicate similar white-matter microstructural alterations across addictions that cannot be attributed solely to exposure to drugs or alcohol and thus may be a vulnerability mechanism for addictive disorders.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>28367515</pmid><doi>10.1016/j.bpsc.2016.03.001</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Alcohol use disorder Behavioral addiction Diffusion tensor imaging (DTI) Impulsivity Pathological gambling Psychiatry Substance use disorder |
title | Shared microstructural features of behavioral and substance addictions revealed in areas of crossing fibers |
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