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To achieve this, a novel attention-based ResNet method, 3D-Attention-Resent-SVR, is proposed to accurately estimate brain age and distinguish between Cognitively Normal (CN) and Alzheimer\u2019s disease (AD) individuals by computing the brain age gap (BAG). Unlike conventional methods, which often rely on single datasets, our approach addresses potential biases by employing four datasets for training and testing. The results, based on a combined dataset from four public sources comprising 3844 data points, demonstrate the model's efficacy with a mean absolute error (MAE) of 2.05 for brain age gap estimation. Moreover, the model's generalizability is showcased by training on three datasets and testing on a separate one, yielding a remarkable MAE of 2.4. Furthermore, leveraging BAG as the sole biomarker, our method achieves an accuracy of 92% and an AUC of 0.87 in Alzheimer's disease detection on the ADNI dataset. These findings underscore the potential of our approach in assisting with early detection and disease monitoring, emphasizing the strong correlation between BAG and AD.<\/jats:p>","DOI":"10.1186\/s40708-024-00230-1","type":"journal-article","created":{"date-parts":[[2024,6,4]],"date-time":"2024-06-04T06:02:07Z","timestamp":1717480927000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Brain age gap estimation using attention-based ResNet method for Alzheimer\u2019s disease detection"],"prefix":"10.1186","volume":"11","author":[{"given":"Atefe","family":"Aghaei","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7391-508X","authenticated-orcid":false,"given":"Mohsen","family":"Ebrahimi Moghaddam","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"name":"Alzheimer\u2019s Disease Neuroimaging Initiative","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,6,4]]},"reference":[{"key":"230_CR1","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1016\/S0140-6736(04)15441-X","volume":"363","author":"NC Fox","year":"2004","unstructured":"Fox NC, Schott JM (2004) Imaging cerebral atrophy: normal ageing to Alzheimer\u2019s disease. 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