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Here we investigated the structural covariances of cortical thickness and subcortical volumes in the ageing brain, along with their associations with age and cognition, using cross-sectional data from the UK Biobank (\n                    <jats:italic>N<\/jats:italic>\n                    \u2009=\u200942,075, aged 45\u201383 years, 53% female). As the structural covariance should be estimated in a group of participants, all participants were divided into 84 non-overlapping, equal-sized age groups ranging from the youngest to the oldest. We examined 84 cortical thickness covariances and subcortical covariances. Our findings include: (1) there were significant differences in the variability of structural covariance in the ageing process, including an increased variance, and a decreased entropy. (2) significant enrichment in pairwise correlations between brain regions within the occipital lobe was observed in all age groups; (3) structural covariance in older age, especially after the age of around 64, was significantly different from that in the youngest group (median age 48 years); (4) sixty-two of the total 528 pairs of cortical thickness correlations and 10 of the total 21 pairs of subcortical volume correlations showed significant associations with age. These trends varied, with some correlations strengthening, some weakening, and some reversing in direction with advancing age. Additionally, as ageing was associated with cognitive decline, most of the correlations with cognition displayed an opposite trend compared to age associated patterns of correlations.\n                  <\/jats:p>","DOI":"10.1007\/s00429-024-02794-4","type":"journal-article","created":{"date-parts":[[2024,4,16]],"date-time":"2024-04-16T02:01:56Z","timestamp":1713232916000},"page":"1165-1177","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Brain structural covariances in the ageing brain in the UK Biobank"],"prefix":"10.1007","volume":"229","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1858-0843","authenticated-orcid":false,"given":"Chao","family":"Dong","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7114-1260","authenticated-orcid":false,"given":"Anbupalam","family":"Thalamuthu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2147-6302","authenticated-orcid":false,"given":"Jiyang","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4143-8941","authenticated-orcid":false,"given":"Karen A.","family":"Mather","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9595-3220","authenticated-orcid":false,"given":"Perminder S.","family":"Sachdev","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2753-3870","authenticated-orcid":false,"given":"Wei","family":"Wen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,4,16]]},"reference":[{"issue":"5","key":"2794_CR1","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1038\/nrn3465","volume":"14","author":"A Alexander-Bloch","year":"2013","unstructured":"Alexander-Bloch A, Giedd JN, Bullmore E (2013) Imaging structural co-variance between human brain regions. 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