Abnormal segments of right uncinate fasciculus and left anterior thalamic radiation in major and bipolar depression

Differential brain structural abnormalities between bipolar disorder (BD) and major depressive disorder (MDD) may reflect different pathological mechanisms underlying these two brain disorders. However, few studies have directly compared the brain structural properties, especially in white matter (W...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Progress in neuro-psychopharmacology & biological psychiatry 2018-02, Vol.81, p.340-349
Hauptverfasser: Deng, Feng, Wang, Ying, Huang, Huiyuan, Niu, Meiqi, Zhong, Shuming, Zhao, Ling, Qi, Zhangzhang, Wu, Xiaoyan, Sun, Yao, Niu, Chen, He, Yuan, Huang, Li, Huang, Ruiwang
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 349
container_issue
container_start_page 340
container_title Progress in neuro-psychopharmacology & biological psychiatry
container_volume 81
creator Deng, Feng
Wang, Ying
Huang, Huiyuan
Niu, Meiqi
Zhong, Shuming
Zhao, Ling
Qi, Zhangzhang
Wu, Xiaoyan
Sun, Yao
Niu, Chen
He, Yuan
Huang, Li
Huang, Ruiwang
description Differential brain structural abnormalities between bipolar disorder (BD) and major depressive disorder (MDD) may reflect different pathological mechanisms underlying these two brain disorders. However, few studies have directly compared the brain structural properties, especially in white matter (WM) tracts, between BD and MDD. Using automated fiber-tract quantification (AFQ), we utilized diffusion tensor images (DTI) from 67 unmedicated depressed patients, including 31 BD and 36 MDD, and 45 healthy controls (HC) to create fractional anisotropy (FA) tract profiles along 20 major WM tracts. Then, we compared between-group differences in FA values at each node along the fiber tracts. To differentiate the BD and the MDD, we enrolled the diffusion measures of the tract profiles into support vector machine (SVM), a type of machine learning algorithm. The BD showed lower FA in the insular cortex portion of the right uncinate fasciculus (UF) compared to the MDD and in the prefrontal lobe portion of the right UF compared to the HC. The MDD showed lower FA in the prefrontal lobe portion of the left anterior thalamic radiation (ATR) compared to the HC. Using the SVM approach, we found the FA tract profile of the left ATR can be used to differentiate the BD and the MDD at an accuracy up to 68.33% (p=0.018). These findings suggested that the BD and the MDD may be characterized by different abnormalities in specific segments of brain WM tracts, especially in two frontal-situated tracts, the right UF and the left ATR. •Analyzed major WM tracts in unmedicated depressed BD and MDD using AFQ.•Found lower FA in specific segments in right UF and left ATR in BD and MDD.•Detected differences in FA in insular cortex part of right UF between BD and MDD.•SVM analysis revealed FA tract profile of left ATR can differentiate BD from MDD.
doi_str_mv 10.1016/j.pnpbp.2017.09.006
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1940048974</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0278584617305353</els_id><sourcerecordid>1940048974</sourcerecordid><originalsourceid>FETCH-LOGICAL-c425t-229ff998eab41fb20384c06c4d32cd0482b9d8a9dec4d9b4221942abd1b38a913</originalsourceid><addsrcrecordid>eNp9kE1v2zAMQIVhxZqm_QUDBh13iUfJqmMddiiKtisQYJf2LOiDThXYkifJA_bvqzTdjjuRIB9J8BHymUHDgHXfDs0cZjM3HNi2AdkAdB_IivXbfiM46z6SFfCaX_eiOycXOR8AgLXQfiLnvJeMg2hXJN-YENOkR5pxP2EomcaBJr9_KXQJ1gddkA46W2-XcclUB0dHHEpNCiYfEy0vetSTtzRp53XxMVAf6KQPtXekjZ_jqBN1OCfMufYvydmgx4xX73FNnu_vnm5_bHY_Hx5vb3YbK_h12XAuh0HKHrURbDAc2l5Y6KxwLbcORM-NdL2WDmtJGsE5k4Jr45hpa5m1a_L1tHdO8deCuajJZ4vjqAPGJauKQ10jt6Ki7Qm1KeaccFBz8pNOfxQDdbStDurNtjraViBVtV2nvrwfWMyE7t_MX70V-H4CsL7522NSVSQGi84ntEW56P974BW69pPn</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1940048974</pqid></control><display><type>article</type><title>Abnormal segments of right uncinate fasciculus and left anterior thalamic radiation in major and bipolar depression</title><source>MEDLINE</source><source>Access via ScienceDirect (Elsevier)</source><creator>Deng, Feng ; Wang, Ying ; Huang, Huiyuan ; Niu, Meiqi ; Zhong, Shuming ; Zhao, Ling ; Qi, Zhangzhang ; Wu, Xiaoyan ; Sun, Yao ; Niu, Chen ; He, Yuan ; Huang, Li ; Huang, Ruiwang</creator><creatorcontrib>Deng, Feng ; Wang, Ying ; Huang, Huiyuan ; Niu, Meiqi ; Zhong, Shuming ; Zhao, Ling ; Qi, Zhangzhang ; Wu, Xiaoyan ; Sun, Yao ; Niu, Chen ; He, Yuan ; Huang, Li ; Huang, Ruiwang</creatorcontrib><description>Differential brain structural abnormalities between bipolar disorder (BD) and major depressive disorder (MDD) may reflect different pathological mechanisms underlying these two brain disorders. However, few studies have directly compared the brain structural properties, especially in white matter (WM) tracts, between BD and MDD. Using automated fiber-tract quantification (AFQ), we utilized diffusion tensor images (DTI) from 67 unmedicated depressed patients, including 31 BD and 36 MDD, and 45 healthy controls (HC) to create fractional anisotropy (FA) tract profiles along 20 major WM tracts. Then, we compared between-group differences in FA values at each node along the fiber tracts. To differentiate the BD and the MDD, we enrolled the diffusion measures of the tract profiles into support vector machine (SVM), a type of machine learning algorithm. The BD showed lower FA in the insular cortex portion of the right uncinate fasciculus (UF) compared to the MDD and in the prefrontal lobe portion of the right UF compared to the HC. The MDD showed lower FA in the prefrontal lobe portion of the left anterior thalamic radiation (ATR) compared to the HC. Using the SVM approach, we found the FA tract profile of the left ATR can be used to differentiate the BD and the MDD at an accuracy up to 68.33% (p=0.018). These findings suggested that the BD and the MDD may be characterized by different abnormalities in specific segments of brain WM tracts, especially in two frontal-situated tracts, the right UF and the left ATR. •Analyzed major WM tracts in unmedicated depressed BD and MDD using AFQ.•Found lower FA in specific segments in right UF and left ATR in BD and MDD.•Detected differences in FA in insular cortex part of right UF between BD and MDD.•SVM analysis revealed FA tract profile of left ATR can differentiate BD from MDD.</description><identifier>ISSN: 0278-5846</identifier><identifier>EISSN: 1878-4216</identifier><identifier>DOI: 10.1016/j.pnpbp.2017.09.006</identifier><identifier>PMID: 28912043</identifier><language>eng</language><publisher>England: Elsevier Inc</publisher><subject>Adult ; Automatic fiber-tract quantification (AFQ) ; Bipolar Disorder - diagnostic imaging ; Brain - diagnostic imaging ; Depression ; Depressive Disorder, Major - diagnostic imaging ; Diagnosis, Differential ; Diffusion tensor images (DTI) ; Diffusion Tensor Imaging - methods ; Female ; Humans ; Image Processing, Computer-Assisted - methods ; Male ; Neural Pathways - diagnostic imaging ; Pattern Recognition, Automated - methods ; Psychiatric Status Rating Scales ; Support Vector Machine ; Support vector machine (SVM) ; White Matter - diagnostic imaging</subject><ispartof>Progress in neuro-psychopharmacology &amp; biological psychiatry, 2018-02, Vol.81, p.340-349</ispartof><rights>2017 Elsevier Inc.</rights><rights>Copyright © 2017 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c425t-229ff998eab41fb20384c06c4d32cd0482b9d8a9dec4d9b4221942abd1b38a913</citedby><cites>FETCH-LOGICAL-c425t-229ff998eab41fb20384c06c4d32cd0482b9d8a9dec4d9b4221942abd1b38a913</cites><orcidid>0000-0001-5945-9586</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.pnpbp.2017.09.006$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28912043$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Deng, Feng</creatorcontrib><creatorcontrib>Wang, Ying</creatorcontrib><creatorcontrib>Huang, Huiyuan</creatorcontrib><creatorcontrib>Niu, Meiqi</creatorcontrib><creatorcontrib>Zhong, Shuming</creatorcontrib><creatorcontrib>Zhao, Ling</creatorcontrib><creatorcontrib>Qi, Zhangzhang</creatorcontrib><creatorcontrib>Wu, Xiaoyan</creatorcontrib><creatorcontrib>Sun, Yao</creatorcontrib><creatorcontrib>Niu, Chen</creatorcontrib><creatorcontrib>He, Yuan</creatorcontrib><creatorcontrib>Huang, Li</creatorcontrib><creatorcontrib>Huang, Ruiwang</creatorcontrib><title>Abnormal segments of right uncinate fasciculus and left anterior thalamic radiation in major and bipolar depression</title><title>Progress in neuro-psychopharmacology &amp; biological psychiatry</title><addtitle>Prog Neuropsychopharmacol Biol Psychiatry</addtitle><description>Differential brain structural abnormalities between bipolar disorder (BD) and major depressive disorder (MDD) may reflect different pathological mechanisms underlying these two brain disorders. However, few studies have directly compared the brain structural properties, especially in white matter (WM) tracts, between BD and MDD. Using automated fiber-tract quantification (AFQ), we utilized diffusion tensor images (DTI) from 67 unmedicated depressed patients, including 31 BD and 36 MDD, and 45 healthy controls (HC) to create fractional anisotropy (FA) tract profiles along 20 major WM tracts. Then, we compared between-group differences in FA values at each node along the fiber tracts. To differentiate the BD and the MDD, we enrolled the diffusion measures of the tract profiles into support vector machine (SVM), a type of machine learning algorithm. The BD showed lower FA in the insular cortex portion of the right uncinate fasciculus (UF) compared to the MDD and in the prefrontal lobe portion of the right UF compared to the HC. The MDD showed lower FA in the prefrontal lobe portion of the left anterior thalamic radiation (ATR) compared to the HC. Using the SVM approach, we found the FA tract profile of the left ATR can be used to differentiate the BD and the MDD at an accuracy up to 68.33% (p=0.018). These findings suggested that the BD and the MDD may be characterized by different abnormalities in specific segments of brain WM tracts, especially in two frontal-situated tracts, the right UF and the left ATR. •Analyzed major WM tracts in unmedicated depressed BD and MDD using AFQ.•Found lower FA in specific segments in right UF and left ATR in BD and MDD.•Detected differences in FA in insular cortex part of right UF between BD and MDD.•SVM analysis revealed FA tract profile of left ATR can differentiate BD from MDD.</description><subject>Adult</subject><subject>Automatic fiber-tract quantification (AFQ)</subject><subject>Bipolar Disorder - diagnostic imaging</subject><subject>Brain - diagnostic imaging</subject><subject>Depression</subject><subject>Depressive Disorder, Major - diagnostic imaging</subject><subject>Diagnosis, Differential</subject><subject>Diffusion tensor images (DTI)</subject><subject>Diffusion Tensor Imaging - methods</subject><subject>Female</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Male</subject><subject>Neural Pathways - diagnostic imaging</subject><subject>Pattern Recognition, Automated - methods</subject><subject>Psychiatric Status Rating Scales</subject><subject>Support Vector Machine</subject><subject>Support vector machine (SVM)</subject><subject>White Matter - diagnostic imaging</subject><issn>0278-5846</issn><issn>1878-4216</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1v2zAMQIVhxZqm_QUDBh13iUfJqmMddiiKtisQYJf2LOiDThXYkifJA_bvqzTdjjuRIB9J8BHymUHDgHXfDs0cZjM3HNi2AdkAdB_IivXbfiM46z6SFfCaX_eiOycXOR8AgLXQfiLnvJeMg2hXJN-YENOkR5pxP2EomcaBJr9_KXQJ1gddkA46W2-XcclUB0dHHEpNCiYfEy0vetSTtzRp53XxMVAf6KQPtXekjZ_jqBN1OCfMufYvydmgx4xX73FNnu_vnm5_bHY_Hx5vb3YbK_h12XAuh0HKHrURbDAc2l5Y6KxwLbcORM-NdL2WDmtJGsE5k4Jr45hpa5m1a_L1tHdO8deCuajJZ4vjqAPGJauKQ10jt6Ki7Qm1KeaccFBz8pNOfxQDdbStDurNtjraViBVtV2nvrwfWMyE7t_MX70V-H4CsL7522NSVSQGi84ntEW56P974BW69pPn</recordid><startdate>20180202</startdate><enddate>20180202</enddate><creator>Deng, Feng</creator><creator>Wang, Ying</creator><creator>Huang, Huiyuan</creator><creator>Niu, Meiqi</creator><creator>Zhong, Shuming</creator><creator>Zhao, Ling</creator><creator>Qi, Zhangzhang</creator><creator>Wu, Xiaoyan</creator><creator>Sun, Yao</creator><creator>Niu, Chen</creator><creator>He, Yuan</creator><creator>Huang, Li</creator><creator>Huang, Ruiwang</creator><general>Elsevier Inc</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>7X8</scope><orcidid>https://orcid.org/0000-0001-5945-9586</orcidid></search><sort><creationdate>20180202</creationdate><title>Abnormal segments of right uncinate fasciculus and left anterior thalamic radiation in major and bipolar depression</title><author>Deng, Feng ; Wang, Ying ; Huang, Huiyuan ; Niu, Meiqi ; Zhong, Shuming ; Zhao, Ling ; Qi, Zhangzhang ; Wu, Xiaoyan ; Sun, Yao ; Niu, Chen ; He, Yuan ; Huang, Li ; Huang, Ruiwang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c425t-229ff998eab41fb20384c06c4d32cd0482b9d8a9dec4d9b4221942abd1b38a913</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adult</topic><topic>Automatic fiber-tract quantification (AFQ)</topic><topic>Bipolar Disorder - diagnostic imaging</topic><topic>Brain - diagnostic imaging</topic><topic>Depression</topic><topic>Depressive Disorder, Major - diagnostic imaging</topic><topic>Diagnosis, Differential</topic><topic>Diffusion tensor images (DTI)</topic><topic>Diffusion Tensor Imaging - methods</topic><topic>Female</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Male</topic><topic>Neural Pathways - diagnostic imaging</topic><topic>Pattern Recognition, Automated - methods</topic><topic>Psychiatric Status Rating Scales</topic><topic>Support Vector Machine</topic><topic>Support vector machine (SVM)</topic><topic>White Matter - diagnostic imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Deng, Feng</creatorcontrib><creatorcontrib>Wang, Ying</creatorcontrib><creatorcontrib>Huang, Huiyuan</creatorcontrib><creatorcontrib>Niu, Meiqi</creatorcontrib><creatorcontrib>Zhong, Shuming</creatorcontrib><creatorcontrib>Zhao, Ling</creatorcontrib><creatorcontrib>Qi, Zhangzhang</creatorcontrib><creatorcontrib>Wu, Xiaoyan</creatorcontrib><creatorcontrib>Sun, Yao</creatorcontrib><creatorcontrib>Niu, Chen</creatorcontrib><creatorcontrib>He, Yuan</creatorcontrib><creatorcontrib>Huang, Li</creatorcontrib><creatorcontrib>Huang, Ruiwang</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Progress in neuro-psychopharmacology &amp; biological psychiatry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Deng, Feng</au><au>Wang, Ying</au><au>Huang, Huiyuan</au><au>Niu, Meiqi</au><au>Zhong, Shuming</au><au>Zhao, Ling</au><au>Qi, Zhangzhang</au><au>Wu, Xiaoyan</au><au>Sun, Yao</au><au>Niu, Chen</au><au>He, Yuan</au><au>Huang, Li</au><au>Huang, Ruiwang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Abnormal segments of right uncinate fasciculus and left anterior thalamic radiation in major and bipolar depression</atitle><jtitle>Progress in neuro-psychopharmacology &amp; biological psychiatry</jtitle><addtitle>Prog Neuropsychopharmacol Biol Psychiatry</addtitle><date>2018-02-02</date><risdate>2018</risdate><volume>81</volume><spage>340</spage><epage>349</epage><pages>340-349</pages><issn>0278-5846</issn><eissn>1878-4216</eissn><abstract>Differential brain structural abnormalities between bipolar disorder (BD) and major depressive disorder (MDD) may reflect different pathological mechanisms underlying these two brain disorders. However, few studies have directly compared the brain structural properties, especially in white matter (WM) tracts, between BD and MDD. Using automated fiber-tract quantification (AFQ), we utilized diffusion tensor images (DTI) from 67 unmedicated depressed patients, including 31 BD and 36 MDD, and 45 healthy controls (HC) to create fractional anisotropy (FA) tract profiles along 20 major WM tracts. Then, we compared between-group differences in FA values at each node along the fiber tracts. To differentiate the BD and the MDD, we enrolled the diffusion measures of the tract profiles into support vector machine (SVM), a type of machine learning algorithm. The BD showed lower FA in the insular cortex portion of the right uncinate fasciculus (UF) compared to the MDD and in the prefrontal lobe portion of the right UF compared to the HC. The MDD showed lower FA in the prefrontal lobe portion of the left anterior thalamic radiation (ATR) compared to the HC. Using the SVM approach, we found the FA tract profile of the left ATR can be used to differentiate the BD and the MDD at an accuracy up to 68.33% (p=0.018). These findings suggested that the BD and the MDD may be characterized by different abnormalities in specific segments of brain WM tracts, especially in two frontal-situated tracts, the right UF and the left ATR. •Analyzed major WM tracts in unmedicated depressed BD and MDD using AFQ.•Found lower FA in specific segments in right UF and left ATR in BD and MDD.•Detected differences in FA in insular cortex part of right UF between BD and MDD.•SVM analysis revealed FA tract profile of left ATR can differentiate BD from MDD.</abstract><cop>England</cop><pub>Elsevier Inc</pub><pmid>28912043</pmid><doi>10.1016/j.pnpbp.2017.09.006</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-5945-9586</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0278-5846
ispartof Progress in neuro-psychopharmacology & biological psychiatry, 2018-02, Vol.81, p.340-349
issn 0278-5846
1878-4216
language eng
recordid cdi_proquest_miscellaneous_1940048974
source MEDLINE; Access via ScienceDirect (Elsevier)
subjects Adult
Automatic fiber-tract quantification (AFQ)
Bipolar Disorder - diagnostic imaging
Brain - diagnostic imaging
Depression
Depressive Disorder, Major - diagnostic imaging
Diagnosis, Differential
Diffusion tensor images (DTI)
Diffusion Tensor Imaging - methods
Female
Humans
Image Processing, Computer-Assisted - methods
Male
Neural Pathways - diagnostic imaging
Pattern Recognition, Automated - methods
Psychiatric Status Rating Scales
Support Vector Machine
Support vector machine (SVM)
White Matter - diagnostic imaging
title Abnormal segments of right uncinate fasciculus and left anterior thalamic radiation in major and bipolar depression
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-19T04%3A02%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Abnormal%20segments%20of%20right%20uncinate%20fasciculus%20and%20left%20anterior%20thalamic%20radiation%20in%20major%20and%20bipolar%20depression&rft.jtitle=Progress%20in%20neuro-psychopharmacology%20&%20biological%20psychiatry&rft.au=Deng,%20Feng&rft.date=2018-02-02&rft.volume=81&rft.spage=340&rft.epage=349&rft.pages=340-349&rft.issn=0278-5846&rft.eissn=1878-4216&rft_id=info:doi/10.1016/j.pnpbp.2017.09.006&rft_dat=%3Cproquest_cross%3E1940048974%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1940048974&rft_id=info:pmid/28912043&rft_els_id=S0278584617305353&rfr_iscdi=true