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Spectral dynamic causal modeling estimated subject\u2010level connectivity, whereas parametric empirical Bayes determined group\u2010level effective connectivity differences between participants with a diagnosed depression history and those without, across current, remitted, and never\u2010depressed states. Brain\u2010behavior associations with clinical depression measures were examined.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Model estimation was excellent (89.82% variance\u2010explained). HDGECs with depression history showed decreased inhibitory posterior cingulate cortex\u2010to\u2010hippocampal connectivity, increased hippocampus\u2010to\u2010posterior cingulate cortex inhibition, and increased inhibitory influence of striatum on DMN. HDGECs with a depression history showed increased inhibitory striatal influence on DMN, including left putamen, a propensity for right hippocampal involvement, and disinhibitory posterior cingulate\u2010hippocampal connectivity. Current versus never\u2010depressed comparisons showed more pronounced dysconnectivity, with stronger striatum\u2010to\u2010network connections. Current versus remitted depression exhibited distinct patterns with increased medial prefrontal cortex\u2010to\u2010posterior cingulate cortex connectivity, increased medial prefrontal cortex self\u2010connectivity, and decreased posterior cingulate cortex\u2010to\u2010medial prefrontal cortex connectivity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>These findings establish distinct striatal\u2010network interaction patterns in depression for HDGECs that differ from non\u2010neurological depression. Our findings suggested the posterior DMN\u2014posterior cingulate and hippocampus\u2014as drivers of depression for HDGECs and potential involvement of right DMN in keeping with compensatory patterns broadly in HD. These connectivity patterns could serve as functional biomarkers for depression in HDGECs. \u00a9 2025 International Parkinson and Movement Disorder Society.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mds.70075","type":"journal-article","created":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T11:06:01Z","timestamp":1762945561000},"page":"107-119","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Depression in Premanifest Huntington's Disease: Aberrant Effective Connectivity of Striatum and Default Mode Network"],"prefix":"10.1002","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-0880-1558","authenticated-orcid":false,"given":"Tamrin","family":"Barta","sequence":"first","affiliation":[{"name":"Turner Institute of Brain and Mental Health at the School of Psychological Sciences, and Faculty of Medicine, Nursing and Health Sciences Monash University  Clayton Victoria 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