{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T17:35:04Z","timestamp":1777397704528,"version":"3.51.4"},"reference-count":49,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2025,8,10]],"date-time":"2025-08-10T00:00:00Z","timestamp":1754784000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2025,8,10]],"date-time":"2025-08-10T00:00:00Z","timestamp":1754784000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Alzheimer\u2019s Disease"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Type 2 diabetes (T2D) is a prevalent metabolic condition associated with increased risk of cognitive decline and dementia, including Alzheimer's disease (AD). While both T2D and AD are linked to neurodegeneration, the extent to which their patterns of brain atrophy overlap remain unclear.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To assess the similarities and differences in cortical atrophy patterns among individuals with controlled and uncontrolled T2D, mild cognitive impairment (MCI), and AD.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Structural magnetic resonance imaging data from the UK Biobank (UKBB) and the Alzheimer's Disease Neuroimaging Initiative (ADNI) were analyzed. Participants aged 55 and older were selected. Linear regression models were applied to generate cortical thickness maps for each group, controlling for age and sex. Group comparisons were conducted using permutation-based tests accounting for spatial autocorrelation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The study included 175 individuals with T2D (86 uncontrolled, 89 controlled) and 127 healthy controls without diabetes (HC) from UKBB, 334 individuals with MCI, 119 with AD and 315 cognitively healthy (CH) from ADNI. Uncontrolled T2D was associated with significant cortical atrophy in specific brain regions, with partial overlap in neurodegeneration patterns observed in MCI and AD. However, correlations between the cortical thinning patterns were weak and non-significant, suggesting distinct trajectories. Controlled T2D showed no significant cortical thinning, supporting the potential neuroprotective effects of glycemic control.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Uncontrolled T2D is linked to region-specific cortical atrophy that partially overlaps with MCI and AD but follows an independent neurodegenerative trajectory. Effective diabetes management may help preserve brain structure and reduce dementia risk, highlighting the importance of early metabolic intervention.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/13872877251365671","type":"journal-article","created":{"date-parts":[[2025,8,11]],"date-time":"2025-08-11T06:54:47Z","timestamp":1754895287000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Commonalities in cortical neurodegeneration between type 2 diabetes and Alzheimer's disease"],"prefix":"10.1177","author":[{"given":"Mahboubeh","family":"Motaghi","sequence":"first","affiliation":[{"name":"Facult\u00e9 de M\u00e9decine, Universit\u00e9 Laval, Qu\u00e9bec, QC, Canada"},{"name":"MEDICS Laboratory, Quebec Heart and Lung Institute (IUCPQ), Qu\u00e9bec, QC, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Olivier","family":"Potvin","sequence":"additional","affiliation":[{"name":"MEDICS Laboratory, Quebec Heart and Lung Institute (IUCPQ), Qu\u00e9bec, QC, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Simon","family":"Duchesne","sequence":"additional","affiliation":[{"name":"MEDICS Laboratory, Quebec Heart and Lung Institute (IUCPQ), Qu\u00e9bec, QC, Canada"},{"name":"D\u00e9partement de Radiologie et M\u00e9decine Nucl\u00e9aire, Universit\u00e9 Laval, Qu\u00e9bec, QC, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"for the Alzheimer's Disease Neuroimaging Initiative","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2025,8,10]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30367-6"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.3390\/ijms21051746"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.nbd.2015.04.008"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1002\/jcp.30779"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.23736\/S0031-0808.20.03879-3"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.arr.2024.102383"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.3390\/ijms21093165"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1590\/1980-57642016dn11-020002"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1111\/jnc.15166"},{"key":"e_1_3_3_11_2","first-page":"373","article-title":"The relationship between Alzheimer's disease and diabetes: type 3 diabetes?","volume":"14","author":"Kroner Z","year":"2009","unstructured":"Kroner Z. 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