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Using antemortem assessments of BPSD in AD, we demonstrate that individual BPSD can be grouped into 4 domain factors in our cohort: affective, apathy, agitation, and psychosis. Then, we performed a transcriptome-wide analysis for each domain utilizing bulk RNA-seq of post-mortem anterior cingulate cortex (ACC) tissues. Though all 4 domains are associated with a predominantly downregulated pattern of hundreds of differentially expressed genes (DEGs), most DEGs are unique to each domain, with only 22 DEGs being common to all BPSD domains, including<jats:italic>TIMP1<\/jats:italic>. Weighted gene co-expression network analysis (WGCNA) yielded multiple transcriptional modules that were shared between BPSD domains or unique to each domain, and NetDecoder was used to analyze context-dependent information flow through the biological network. For the agitation domain, we found that all DEGs and a highly associated transcriptional module were functionally enriched for ECM-related genes including<jats:italic>TIMP1, TAGLN<\/jats:italic>, and<jats:italic>FLNA<\/jats:italic>. Another unique transcriptional module also associated with the agitation domain was enriched with genes involved in post-synaptic signaling, including<jats:italic>DRD1, PDE1B, CAMK4<\/jats:italic>, and<jats:italic>GABRA4<\/jats:italic>. By comparing context-dependent changes in DEGs between cases and control networks,<jats:italic>ESR1<\/jats:italic>and<jats:italic>PARK2<\/jats:italic>were implicated as two high-impact genes associated with agitation that mediated significant information flow through the biological network. Overall, our work establishes unique targets for future study of the biological mechanisms of BPSD and resultant drug development.<\/jats:p>","DOI":"10.1038\/s41398-024-02878-z","type":"journal-article","created":{"date-parts":[[2024,4,4]],"date-time":"2024-04-04T17:01:47Z","timestamp":1712250107000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Unique transcriptional signatures correlate with behavioral and psychological symptom domains in Alzheimer\u2019s disease"],"prefix":"10.1038","volume":"14","author":[{"given":"Daniel W.","family":"Fisher","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeffrey T.","family":"Dunn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rachel","family":"Keszycki","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6373-3485","authenticated-orcid":false,"given":"Guadalupe","family":"Rodriguez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David A.","family":"Bennett","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert S.","family":"Wilson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2469-070X","authenticated-orcid":false,"given":"Hongxin","family":"Dong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,4,4]]},"reference":[{"key":"2878_CR1","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1080\/13854046.2013.876101","volume":"28","author":"LA Rog","year":"2014","unstructured":"Rog LA, Park LQ, Harvey DJ, Huang CJ, Mackin S, Farias ST. 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