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Cluster analysis with MOODS‐SR illustrates a potential bipolar disorder risk phenotype in young adults with remitted major depressive disorder
dc.contributor.authorKling, Leah R
dc.contributor.authorBessette, Katie L
dc.contributor.authorDelDonno, Sophie R
dc.contributor.authorRyan, Kelly A
dc.contributor.authorDrevets, Wayne C
dc.contributor.authorMcInnis, Melvin G
dc.contributor.authorPhillips, Mary L
dc.contributor.authorLangenecker, Scott A
dc.date.accessioned2019-01-15T20:30:40Z
dc.date.available2020-02-03T20:18:24Zen
dc.date.issued2018-12
dc.identifier.citationKling, Leah R; Bessette, Katie L; DelDonno, Sophie R; Ryan, Kelly A; Drevets, Wayne C; McInnis, Melvin G; Phillips, Mary L; Langenecker, Scott A (2018). "Cluster analysis with MOODS‐SR illustrates a potential bipolar disorder risk phenotype in young adults with remitted major depressive disorder." Bipolar Disorders 20(8): 697-707.
dc.identifier.issn1398-5647
dc.identifier.issn1399-5618
dc.identifier.urihttps://hdl.handle.net/2027.42/147140
dc.publisherClinical Neurogenetics Branch, National Institute of Mental Health
dc.publisherWiley Periodicals, Inc.
dc.subject.otherrisk factors
dc.subject.otherphenotype
dc.subject.otherneuropsychology
dc.subject.otherdepression
dc.subject.otherbipolar disorder
dc.subject.otherresting state
dc.titleCluster analysis with MOODS‐SR illustrates a potential bipolar disorder risk phenotype in young adults with remitted major depressive disorder
dc.typeArticleen_US
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelPsychology
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/147140/1/bdi12693_am.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/147140/2/bdi12693.pdf
dc.identifier.doi10.1111/bdi.12693
dc.identifier.sourceBipolar Disorders
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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