Comparing a pre-defined versus deep learning approach for extracting brain atrophy patterns to predict cognitive decline due to Alzheimer’s disease in patients with mild cognitive symptoms

Abstract Background Predicting future Alzheimer’s disease (AD)-related cognitive decline among individuals with subjective cognitive decline (SCD) or mild cognitive impairment (MCI) is an important task for healthcare. Structural brain imaging as measured by magnetic resonance imaging (MRI) could po...

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出版年:	Alzheimer’s Research & Therapy
主要な著者:	Ida Arvidsson, Olof Strandberg, Sebastian Palmqvist, Erik Stomrud, Nicholas Cullen, Shorena Janelidze, Pontus Tideman, Anders Heyden, Karl Åström, Oskar Hansson, Niklas Mattsson-Carlgren
フォーマット:	論文
言語:	英語
出版事項:	BMC 2024-03-01
主題:	Alzheimer’s disease Cognitive decline Deep learning
オンライン･アクセス:	https://doi.org/10.1186/s13195-024-01428-5