Resting state functional magnetic resonance imaging reveals distinct brain activity in heavy cannabis users – a multi-voxel pattern analysis
Chronic cannabis use can cause cognitive, perceptual and personality alterations, which are believed to be associated with regional brain changes and possible changes in connectivity between functional regions. This study aims to identify the changes from resting state functional magnetic resonance...
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Veröffentlicht in: | Journal of psychopharmacology (Oxford) 2014-11, Vol.28 (11), p.1030-1040 |
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creator | Cheng, H Skosnik, PD Pruce, BJ Brumbaugh, MS Vollmer, JM Fridberg, DJ O’Donnell, BF Hetrick, WP Newman, SD |
description | Chronic cannabis use can cause cognitive, perceptual and personality alterations, which are believed to be associated with regional brain changes and possible changes in connectivity between functional regions. This study aims to identify the changes from resting state functional magnetic resonance imaging scans. A two-level multi-voxel pattern analysis was proposed to classify male cannabis users from normal controls. The first level analysis works on a voxel basis and identifies clusters for the input of a second level analysis, which works on the functional connectivity between these regions. We found distinct clusters for male cannabis users in the middle frontal gyrus, precentral gyrus, superior frontal gyrus, posterior cingulate cortex, cerebellum and some other regions. Based on the functional connectivity of these clusters, a high overall accuracy rate of 84–88% in classification accuracy was achieved. High correlations were also found between the overall classification accuracy and Barrett Barrett Impulsiveness Scale factor scores of attention and motor. Our result suggests regional differences in the brains of male cannabis users that span from the cerebellum to the prefrontal cortex, which are associated with differences in functional connectivity. |
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This study aims to identify the changes from resting state functional magnetic resonance imaging scans. A two-level multi-voxel pattern analysis was proposed to classify male cannabis users from normal controls. The first level analysis works on a voxel basis and identifies clusters for the input of a second level analysis, which works on the functional connectivity between these regions. We found distinct clusters for male cannabis users in the middle frontal gyrus, precentral gyrus, superior frontal gyrus, posterior cingulate cortex, cerebellum and some other regions. Based on the functional connectivity of these clusters, a high overall accuracy rate of 84–88% in classification accuracy was achieved. High correlations were also found between the overall classification accuracy and Barrett Barrett Impulsiveness Scale factor scores of attention and motor. Our result suggests regional differences in the brains of male cannabis users that span from the cerebellum to the prefrontal cortex, which are associated with differences in functional connectivity.</description><identifier>ISSN: 0269-8811</identifier><identifier>EISSN: 1461-7285</identifier><identifier>DOI: 10.1177/0269881114550354</identifier><identifier>PMID: 25237118</identifier><identifier>CODEN: JOPSEQ</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Accuracy ; Brain - drug effects ; Brain - physiopathology ; Brain Mapping ; Case-Control Studies ; Correlation analysis ; Dronabinol - pharmacokinetics ; Dronabinol - urine ; Drug use ; Humans ; Image Processing, Computer-Assisted ; Magnetic Resonance Imaging ; Male ; Marijuana ; Marijuana Abuse - physiopathology ; Neural Pathways - drug effects ; Neural Pathways - physiopathology ; NMR ; Nuclear magnetic resonance ; Rest - physiology ; Young Adult</subject><ispartof>Journal of psychopharmacology (Oxford), 2014-11, Vol.28 (11), p.1030-1040</ispartof><rights>The Author(s) 2014</rights><rights>The Author(s) 2014.</rights><rights>Copyright Sage Publications Ltd. Nov 2014</rights><rights>The Author(s) 2014 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c495t-30c56918c753eec5a382467d92008a6f04ac6fdb6d280deb0f5a6d68eb371a753</citedby><cites>FETCH-LOGICAL-c495t-30c56918c753eec5a382467d92008a6f04ac6fdb6d280deb0f5a6d68eb371a753</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/0269881114550354$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/0269881114550354$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>230,314,780,784,885,21819,27924,27925,43621,43622</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25237118$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cheng, H</creatorcontrib><creatorcontrib>Skosnik, PD</creatorcontrib><creatorcontrib>Pruce, BJ</creatorcontrib><creatorcontrib>Brumbaugh, MS</creatorcontrib><creatorcontrib>Vollmer, JM</creatorcontrib><creatorcontrib>Fridberg, DJ</creatorcontrib><creatorcontrib>O’Donnell, BF</creatorcontrib><creatorcontrib>Hetrick, WP</creatorcontrib><creatorcontrib>Newman, SD</creatorcontrib><title>Resting state functional magnetic resonance imaging reveals distinct brain activity in heavy cannabis users – a multi-voxel pattern analysis</title><title>Journal of psychopharmacology (Oxford)</title><addtitle>J Psychopharmacol</addtitle><description>Chronic cannabis use can cause cognitive, perceptual and personality alterations, which are believed to be associated with regional brain changes and possible changes in connectivity between functional regions. This study aims to identify the changes from resting state functional magnetic resonance imaging scans. A two-level multi-voxel pattern analysis was proposed to classify male cannabis users from normal controls. The first level analysis works on a voxel basis and identifies clusters for the input of a second level analysis, which works on the functional connectivity between these regions. We found distinct clusters for male cannabis users in the middle frontal gyrus, precentral gyrus, superior frontal gyrus, posterior cingulate cortex, cerebellum and some other regions. Based on the functional connectivity of these clusters, a high overall accuracy rate of 84–88% in classification accuracy was achieved. High correlations were also found between the overall classification accuracy and Barrett Barrett Impulsiveness Scale factor scores of attention and motor. Our result suggests regional differences in the brains of male cannabis users that span from the cerebellum to the prefrontal cortex, which are associated with differences in functional connectivity.</description><subject>Accuracy</subject><subject>Brain - drug effects</subject><subject>Brain - physiopathology</subject><subject>Brain Mapping</subject><subject>Case-Control Studies</subject><subject>Correlation analysis</subject><subject>Dronabinol - pharmacokinetics</subject><subject>Dronabinol - urine</subject><subject>Drug use</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Marijuana</subject><subject>Marijuana Abuse - physiopathology</subject><subject>Neural Pathways - drug effects</subject><subject>Neural Pathways - physiopathology</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Rest - physiology</subject><subject>Young Adult</subject><issn>0269-8811</issn><issn>1461-7285</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kc-KFDEQxoMo7rh69yQBL15ak3SSTl8EWfwHC4LoOVSnq2ez9KTHJN04N59gL_uGPolpZl3WBU8JVb_vq3wpQp5z9przpnnDhG6N4ZxLpVit5AOy4VLzqhFGPSSbtV2t_RPyJKVLxriWWj0mJ0KJuuHcbMjVV0zZhy1NGTLSYQ4u-ynASHewDZi9oxFTKQSH1JfaykZcEMZEe79qXaZdBB8oFOni84GW-wXCcqAOQoDOJzonjIn-_nVNge7mMftqmX7iSPeQM8YiLRMPyaen5NFQnPHZzXlKvn94_-3sU3X-5ePns3fnlZOtylXNnNItN65RNaJTUBshddO3gjEDemASnB76TvfCsB47NijQvTbYldhQRKfk7dF3P3c77B2GHGG0-1gixoOdwNt_O8Ff2O20WClFo7goBq9uDOL0Yy5_aHc-ORxHCDjNyXJt6lq2hrcFfXkPvZzmWAKvlGBSCKZ0odiRcnFKKeJw-xjO7Lpse3_ZRfLibohbwd_tFqA6Agm2eGfq_wz_ABgltfg</recordid><startdate>20141101</startdate><enddate>20141101</enddate><creator>Cheng, H</creator><creator>Skosnik, PD</creator><creator>Pruce, BJ</creator><creator>Brumbaugh, MS</creator><creator>Vollmer, JM</creator><creator>Fridberg, DJ</creator><creator>O’Donnell, BF</creator><creator>Hetrick, WP</creator><creator>Newman, SD</creator><general>SAGE Publications</general><general>Sage Publications Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TK</scope><scope>7U7</scope><scope>C1K</scope><scope>5PM</scope></search><sort><creationdate>20141101</creationdate><title>Resting state functional magnetic resonance imaging reveals distinct brain activity in heavy cannabis users – a multi-voxel pattern analysis</title><author>Cheng, H ; Skosnik, PD ; Pruce, BJ ; Brumbaugh, MS ; Vollmer, JM ; Fridberg, DJ ; O’Donnell, BF ; Hetrick, WP ; Newman, SD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c495t-30c56918c753eec5a382467d92008a6f04ac6fdb6d280deb0f5a6d68eb371a753</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Accuracy</topic><topic>Brain - drug effects</topic><topic>Brain - physiopathology</topic><topic>Brain Mapping</topic><topic>Case-Control Studies</topic><topic>Correlation analysis</topic><topic>Dronabinol - pharmacokinetics</topic><topic>Dronabinol - urine</topic><topic>Drug use</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Marijuana</topic><topic>Marijuana Abuse - physiopathology</topic><topic>Neural Pathways - drug effects</topic><topic>Neural Pathways - physiopathology</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Rest - physiology</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cheng, H</creatorcontrib><creatorcontrib>Skosnik, PD</creatorcontrib><creatorcontrib>Pruce, BJ</creatorcontrib><creatorcontrib>Brumbaugh, MS</creatorcontrib><creatorcontrib>Vollmer, JM</creatorcontrib><creatorcontrib>Fridberg, DJ</creatorcontrib><creatorcontrib>O’Donnell, BF</creatorcontrib><creatorcontrib>Hetrick, WP</creatorcontrib><creatorcontrib>Newman, SD</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of psychopharmacology (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cheng, H</au><au>Skosnik, PD</au><au>Pruce, BJ</au><au>Brumbaugh, MS</au><au>Vollmer, JM</au><au>Fridberg, DJ</au><au>O’Donnell, BF</au><au>Hetrick, WP</au><au>Newman, SD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Resting state functional magnetic resonance imaging reveals distinct brain activity in heavy cannabis users – a multi-voxel pattern analysis</atitle><jtitle>Journal of psychopharmacology (Oxford)</jtitle><addtitle>J Psychopharmacol</addtitle><date>2014-11-01</date><risdate>2014</risdate><volume>28</volume><issue>11</issue><spage>1030</spage><epage>1040</epage><pages>1030-1040</pages><issn>0269-8811</issn><eissn>1461-7285</eissn><coden>JOPSEQ</coden><abstract>Chronic cannabis use can cause cognitive, perceptual and personality alterations, which are believed to be associated with regional brain changes and possible changes in connectivity between functional regions. This study aims to identify the changes from resting state functional magnetic resonance imaging scans. A two-level multi-voxel pattern analysis was proposed to classify male cannabis users from normal controls. The first level analysis works on a voxel basis and identifies clusters for the input of a second level analysis, which works on the functional connectivity between these regions. We found distinct clusters for male cannabis users in the middle frontal gyrus, precentral gyrus, superior frontal gyrus, posterior cingulate cortex, cerebellum and some other regions. Based on the functional connectivity of these clusters, a high overall accuracy rate of 84–88% in classification accuracy was achieved. High correlations were also found between the overall classification accuracy and Barrett Barrett Impulsiveness Scale factor scores of attention and motor. 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subjects | Accuracy Brain - drug effects Brain - physiopathology Brain Mapping Case-Control Studies Correlation analysis Dronabinol - pharmacokinetics Dronabinol - urine Drug use Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Male Marijuana Marijuana Abuse - physiopathology Neural Pathways - drug effects Neural Pathways - physiopathology NMR Nuclear magnetic resonance Rest - physiology Young Adult |
title | Resting state functional magnetic resonance imaging reveals distinct brain activity in heavy cannabis users – a multi-voxel pattern analysis |
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