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Previous efforts to map amygdala subnuclei connectivity have been hindered by technological limitations. This study used ultra-high field imaging to investigate the covariance profiles of amygdala subnuclei to better understand their contribution to trauma-related psychopathology and posttraumatic stress disorder (PTSD). Participants included 59 non-trauma-exposed controls (NEC; 51% female), 78 trauma-exposed controls (TEC; 65% female), and 73 individuals with PTSD (93% female) who completed T1-weighted MP2RAGE anatomical scans using a 7-Tesla MRI scanner. FreeSurfer was used to parcellate 105 brain regions including nine bilateral amygdala subnuclei. Pearson\u2019s\n                    <jats:italic>r<\/jats:italic>\n                    correlations were computed for each subnuclei-brain region pair, corrected for age, sex, education, and total brain volume. Gray matter volumes, topological connectivity (nodal degree) using graph analysis, and subnuclei-brain region covariances were compared between-groups. There were between-group volumetric differences for the lateral nuclei (left: NEC\u2009&lt;\u2009PTSD\/TEC; right: PTSD\u2009&lt;\u2009NEC\/TEC), and higher nodal degree of the right paralaminar subnucleus for TEC (vs NEC). Covariance patterns differed between-groups, with lower PTSD (vs NEC) structural covariances for left cortical and central nuclei, and higher TEC (vs NEC) covariances for left lateral, basal, cortical, and anterior-amygdaloid-area, right cortico-amygdaloid transition, and bilateral paralaminar nuclei. This study is the first to reveal differences in amygdala subnuclei covariance profiles along the trauma-spectrum using ultra-high field imaging. Findings suggest that amygdala subnuclei could have differential connectivity profiles in trauma-related conditions and ultra-high field imaging studies are needed to more precisely understand their role.\n                  <\/jats:p>","DOI":"10.1038\/s41380-025-03428-9","type":"journal-article","created":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T01:33:06Z","timestamp":1766971986000},"page":"2954-2964","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Structural covariance, regional topology, and volumetric aspects of amygdala subnuclei in posttraumatic stress disorder using ultra-high field imaging"],"prefix":"10.1038","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5323-3516","authenticated-orcid":false,"given":"Elizabeth M.","family":"Haris","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3116-8175","authenticated-orcid":false,"given":"Trevor","family":"Steward","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kim L.","family":"Felmingham","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ben J.","family":"Harrison","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1431-3852","authenticated-orcid":false,"given":"Christopher G.","family":"Davey","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bradford A.","family":"Moffat","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rebecca K.","family":"Glarin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9607-819X","authenticated-orcid":false,"given":"Richard A.","family":"Bryant","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1339-2221","authenticated-orcid":false,"given":"Mayuresh S.","family":"Korgaonkar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,12,29]]},"reference":[{"key":"3428_CR1","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1038\/s41582-022-00635-8","volume":"18","author":"KJ Ressler","year":"2022","unstructured":"Ressler KJ, Berretta S, Bolshakov VY, Rosso IM, Meloni EG, Rauch SL, et al. 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