{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T16:19:20Z","timestamp":1785428360349,"version":"3.56.0"},"reference-count":54,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2018,10,7]],"date-time":"2018-10-07T00:00:00Z","timestamp":1538870400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000025","name":"National Institute of Mental Health","doi-asserted-by":"publisher","award":["MH 091811"],"award-info":[{"award-number":["MH 091811"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100008523","name":"Center for Clinical and Translational Science, University of Illinois at Chicago","doi-asserted-by":"publisher","award":["NCATS UL1TR000050"],"award-info":[{"award-number":["NCATS UL1TR000050"]}],"id":[{"id":"10.13039\/100008523","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100008523","name":"Center for Clinical and Translational Science, University of Illinois at Chicago","doi-asserted-by":"publisher","award":["1S10RR028898"],"award-info":[{"award-number":["1S10RR028898"]}],"id":[{"id":"10.13039\/100008523","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Bipolar Disorders"],"published-print":{"date-parts":[[2018,12]]},"abstract":"<jats:sec><jats:title>Objectives<\/jats:title><jats:p>Delays in the diagnosis and detection of bipolar disorder can lead to adverse consequences, including improper treatment and increased suicide risk. The Mood Spectrum Self\u2010Report Measure (MOODS\u2010SR) was designed to capture the full spectrum of lifetime mood symptomology with factor scores for depression and mania symptom constellations. The utility of the MOODS\u2010SR as a tool to investigate homogeneous subgroups was examined, with particular focus on a possible bipolar risk subgroup. Moreover, potential patterns of differences in MOODS\u2010SR subtypes were probed using cognitive vulnerabilities, neuropsychological functioning, and ventral striatum connectivity.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>K\u2010mean cluster analysis based on factor scores of MOODS\u2010SR was used to determine homogeneous subgroupings within a healthy and remitted depressed young adult sample (N = 86). Between\u2010group comparisons (based on cluster subgroupings) were conducted on measures of cognitive vulnerabilities, neuropsychological functioning, and ventral striatum rs\u2010fMRI connectivity.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Three groups of participants were identified: one with minimal symptomology, one with moderate primarily depressive symptomology, and one with more severe manic and depressive symptomology. Differences in impulsivity, neuroticism, conscientiousness, facial perception accuracy, and rs\u2010fMRI connectivity exist between moderate and severe groups.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Within a sample of people with and without depression histories, a severe subgroup was identified with potentially increased risk of developing bipolar disorder through use of the MOODS\u2010SR. This small subgroup had higher levels of lifetime depression and mania symptoms. Additionally, differences in traits, affective processing, and connectivity exist between those with a more prototypic unipolar subgrouping and those with potential risk for developing bipolar disorder.<\/jats:p><\/jats:sec>","DOI":"10.1111\/bdi.12693","type":"journal-article","created":{"date-parts":[[2018,10,8]],"date-time":"2018-10-08T03:53:58Z","timestamp":1538970838000},"page":"697-707","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Cluster analysis with MOODS\u2010SR illustrates a potential bipolar disorder risk phenotype in young adults with remitted major depressive disorder"],"prefix":"10.1111","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0160-9988","authenticated-orcid":false,"given":"Leah R","family":"Kling","sequence":"first","affiliation":[{"name":"University of Illinois at Chicago Chicago Illinois"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katie L","family":"Bessette","sequence":"additional","affiliation":[{"name":"University of Illinois at Chicago Chicago Illinois"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sophie R","family":"DelDonno","sequence":"additional","affiliation":[{"name":"University of Illinois at Chicago Chicago Illinois"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kelly A","family":"Ryan","sequence":"additional","affiliation":[{"name":"University of Michigan Medical Center Ann Arbor Michigan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wayne C","family":"Drevets","sequence":"additional","affiliation":[{"name":"Janssen Pharmaceutical Companies of Johnson &amp; 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