Resting-state functional connectivity in women with Major Depressive Disorder
Abstract Objective Limited research has focused on whole-brain functional connectivity in a well-characterized sample of subjects with current Major Depressive Disorder (MDD). We aimed to investigate resting-state functional connectivity and the extent to which this is correlated with depression sev...
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| Veröffentlicht in: | Journal of psychiatric research 2014-12, Vol.59, p.38-44 |
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| creator | Buchanan, Angel Wang, Xue Gollan, Jackie K |
| description | Abstract Objective Limited research has focused on whole-brain functional connectivity in a well-characterized sample of subjects with current Major Depressive Disorder (MDD). We aimed to investigate resting-state functional connectivity and the extent to which this is correlated with depression severity in unmedicated depressed subjects without comorbidities. Methods We utilized Independent Component Analysis (ICA) to investigate whole-brain functional connectivity in a sample of healthy controls ( n = 26) and unmedicated subjects diagnosed only with current MDD ( n = 20). Correlations were calculated between network connectivity strength and depression severity. Results Depressed subjects demonstrated significantly decreased connectivity in the right frontoparietal ( p = 0.03), left frontoparietal ( p = 0.01), and language ( p = 0.02) networks compared to healthy control subjects. Conclusion We found abnormal resting-state functional connectivity not previously reported in MDD. Decreased connectivity in the frontoparietal and language networks may represent depression-related difficulties in attention, cognitive control, goal-directed cognition, and language. Findings from this study may further elucidate functional connectivity as a diagnostic marker of depression severity. |
| doi_str_mv | 10.1016/j.jpsychires.2014.09.002 |
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We aimed to investigate resting-state functional connectivity and the extent to which this is correlated with depression severity in unmedicated depressed subjects without comorbidities. Methods We utilized Independent Component Analysis (ICA) to investigate whole-brain functional connectivity in a sample of healthy controls ( n = 26) and unmedicated subjects diagnosed only with current MDD ( n = 20). Correlations were calculated between network connectivity strength and depression severity. Results Depressed subjects demonstrated significantly decreased connectivity in the right frontoparietal ( p = 0.03), left frontoparietal ( p = 0.01), and language ( p = 0.02) networks compared to healthy control subjects. Conclusion We found abnormal resting-state functional connectivity not previously reported in MDD. Decreased connectivity in the frontoparietal and language networks may represent depression-related difficulties in attention, cognitive control, goal-directed cognition, and language. Findings from this study may further elucidate functional connectivity as a diagnostic marker of depression severity.</description><identifier>ISSN: 0022-3956</identifier><identifier>EISSN: 1879-1379</identifier><identifier>DOI: 10.1016/j.jpsychires.2014.09.002</identifier><identifier>PMID: 25277274</identifier><identifier>CODEN: JPYRA3</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Adolescent ; Adult ; Adult and adolescent clinical studies ; Biological and medical sciences ; Brain - blood supply ; Connectivity ; Depression ; Depressive Disorder, Major - pathology ; Female ; fMRI ; Humans ; Image Processing, Computer-Assisted ; Independent component analysis ; Magnetic Resonance Imaging ; Medical sciences ; Middle Aged ; Miscellaneous ; Mood disorders ; Neural Pathways - blood supply ; Oxygen - blood ; Principal Component Analysis ; Psychiatric Status Rating Scales ; Psychiatry ; Psychology. Psychoanalysis. Psychiatry ; Psychopathology. Psychiatry ; Rest ; Resting-state ; Young Adult</subject><ispartof>Journal of psychiatric research, 2014-12, Vol.59, p.38-44</ispartof><rights>Elsevier Ltd</rights><rights>2014 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2014 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c492t-4884d66af90df55e45bc605145330fdac680cb25ee815130583f8667fccad2fb3</citedby><cites>FETCH-LOGICAL-c492t-4884d66af90df55e45bc605145330fdac680cb25ee815130583f8667fccad2fb3</cites><orcidid>0000-0002-4344-1231 ; 0000-0002-7563-963X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0022395614002696$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28866860$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25277274$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Buchanan, Angel</creatorcontrib><creatorcontrib>Wang, Xue</creatorcontrib><creatorcontrib>Gollan, Jackie K</creatorcontrib><title>Resting-state functional connectivity in women with Major Depressive Disorder</title><title>Journal of psychiatric research</title><addtitle>J Psychiatr Res</addtitle><description>Abstract Objective Limited research has focused on whole-brain functional connectivity in a well-characterized sample of subjects with current Major Depressive Disorder (MDD). We aimed to investigate resting-state functional connectivity and the extent to which this is correlated with depression severity in unmedicated depressed subjects without comorbidities. Methods We utilized Independent Component Analysis (ICA) to investigate whole-brain functional connectivity in a sample of healthy controls ( n = 26) and unmedicated subjects diagnosed only with current MDD ( n = 20). Correlations were calculated between network connectivity strength and depression severity. Results Depressed subjects demonstrated significantly decreased connectivity in the right frontoparietal ( p = 0.03), left frontoparietal ( p = 0.01), and language ( p = 0.02) networks compared to healthy control subjects. Conclusion We found abnormal resting-state functional connectivity not previously reported in MDD. Decreased connectivity in the frontoparietal and language networks may represent depression-related difficulties in attention, cognitive control, goal-directed cognition, and language. Findings from this study may further elucidate functional connectivity as a diagnostic marker of depression severity.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Adult and adolescent clinical studies</subject><subject>Biological and medical sciences</subject><subject>Brain - blood supply</subject><subject>Connectivity</subject><subject>Depression</subject><subject>Depressive Disorder, Major - pathology</subject><subject>Female</subject><subject>fMRI</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Independent component analysis</subject><subject>Magnetic Resonance Imaging</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Miscellaneous</subject><subject>Mood disorders</subject><subject>Neural Pathways - blood supply</subject><subject>Oxygen - blood</subject><subject>Principal Component Analysis</subject><subject>Psychiatric Status Rating Scales</subject><subject>Psychiatry</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychopathology. Psychiatry</subject><subject>Rest</subject><subject>Resting-state</subject><subject>Young Adult</subject><issn>0022-3956</issn><issn>1879-1379</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNksluFDEQhi0EIkPgFVBfkLh0x0t7uyBBwiYlQmI5Wx53mbjpsQe7e9C8PR7NkEiccrFd1lf1u34XQg3BHcFEXIzduC17dxsylI5i0ndYdxjTR2hFlNQtYVI_Rqt6Q1umuThDz0oZMcaSkv4pOqOcSkllv0I3X6HMIf5sy2xnaPwS3RxStFPjUoxQg12Y902IzZ-0gbqG-ba5sWPKzRVsq3wJO2iuQkl5gPwcPfF2KvDitJ-jHx_ef7_81F5_-fj58u1163pN57ZXqh-EsF7jwXMOPV87gTnpOWPYD9YJhd2acgBFOGGYK-aVENI7Zwfq1-wcvT7W3eb0e6kdmE0oDqbJRkhLMUQwjqnkUj0ApVpzLrWsqDqiLqdSMnizzWFj894QbA6-m9Hc-24OvhusTXW5pr48qSzrDQx3if-MrsCrE2CLs5PPNrpQ7jlV-1MCV-7dkYNq3y5ANsUFiA6GqulmM6TwkNe8-a-Im0IMVfcX7KGMacn1h2vvplCDzbfDnBzGhPT1JLRgfwHdirtd</recordid><startdate>20141201</startdate><enddate>20141201</enddate><creator>Buchanan, Angel</creator><creator>Wang, Xue</creator><creator>Gollan, Jackie K</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><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><scope>7TK</scope><orcidid>https://orcid.org/0000-0002-4344-1231</orcidid><orcidid>https://orcid.org/0000-0002-7563-963X</orcidid></search><sort><creationdate>20141201</creationdate><title>Resting-state functional connectivity in women with Major Depressive Disorder</title><author>Buchanan, Angel ; Wang, Xue ; Gollan, Jackie K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c492t-4884d66af90df55e45bc605145330fdac680cb25ee815130583f8667fccad2fb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Adult and adolescent clinical studies</topic><topic>Biological and medical sciences</topic><topic>Brain - blood supply</topic><topic>Connectivity</topic><topic>Depression</topic><topic>Depressive Disorder, Major - pathology</topic><topic>Female</topic><topic>fMRI</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Independent component analysis</topic><topic>Magnetic Resonance Imaging</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Miscellaneous</topic><topic>Mood disorders</topic><topic>Neural Pathways - blood supply</topic><topic>Oxygen - blood</topic><topic>Principal Component Analysis</topic><topic>Psychiatric Status Rating Scales</topic><topic>Psychiatry</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychopathology. Psychiatry</topic><topic>Rest</topic><topic>Resting-state</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Buchanan, Angel</creatorcontrib><creatorcontrib>Wang, Xue</creatorcontrib><creatorcontrib>Gollan, Jackie K</creatorcontrib><collection>Pascal-Francis</collection><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><collection>Neurosciences Abstracts</collection><jtitle>Journal of psychiatric research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Buchanan, Angel</au><au>Wang, Xue</au><au>Gollan, Jackie K</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Resting-state functional connectivity in women with Major Depressive Disorder</atitle><jtitle>Journal of psychiatric research</jtitle><addtitle>J Psychiatr Res</addtitle><date>2014-12-01</date><risdate>2014</risdate><volume>59</volume><spage>38</spage><epage>44</epage><pages>38-44</pages><issn>0022-3956</issn><eissn>1879-1379</eissn><coden>JPYRA3</coden><abstract>Abstract Objective Limited research has focused on whole-brain functional connectivity in a well-characterized sample of subjects with current Major Depressive Disorder (MDD). We aimed to investigate resting-state functional connectivity and the extent to which this is correlated with depression severity in unmedicated depressed subjects without comorbidities. Methods We utilized Independent Component Analysis (ICA) to investigate whole-brain functional connectivity in a sample of healthy controls ( n = 26) and unmedicated subjects diagnosed only with current MDD ( n = 20). Correlations were calculated between network connectivity strength and depression severity. Results Depressed subjects demonstrated significantly decreased connectivity in the right frontoparietal ( p = 0.03), left frontoparietal ( p = 0.01), and language ( p = 0.02) networks compared to healthy control subjects. Conclusion We found abnormal resting-state functional connectivity not previously reported in MDD. Decreased connectivity in the frontoparietal and language networks may represent depression-related difficulties in attention, cognitive control, goal-directed cognition, and language. Findings from this study may further elucidate functional connectivity as a diagnostic marker of depression severity.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><pmid>25277274</pmid><doi>10.1016/j.jpsychires.2014.09.002</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-4344-1231</orcidid><orcidid>https://orcid.org/0000-0002-7563-963X</orcidid></addata></record> |
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| subjects | Adolescent Adult Adult and adolescent clinical studies Biological and medical sciences Brain - blood supply Connectivity Depression Depressive Disorder, Major - pathology Female fMRI Humans Image Processing, Computer-Assisted Independent component analysis Magnetic Resonance Imaging Medical sciences Middle Aged Miscellaneous Mood disorders Neural Pathways - blood supply Oxygen - blood Principal Component Analysis Psychiatric Status Rating Scales Psychiatry Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Rest Resting-state Young Adult |
| title | Resting-state functional connectivity in women with Major Depressive Disorder |
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