Data fusion based on Searchlight analysis for the prediction of Alzheimer’s disease
作者：
Highlights：
• The goal of this study is to provide a method for an early detection of Alzheimer’s.
• We combine MR images and psychological tests to study the development of dementia.
• The contribution of each modality to the decision of the classifier is computed.
• Searchlight identifies the brain regions that are first affected by Alzheimer’s.
• Our method maximizes classification accuracy while preserving spatial information.
摘要
•The goal of this study is to provide a method for an early detection of Alzheimer’s.•We combine MR images and psychological tests to study the development of dementia.•The contribution of each modality to the decision of the classifier is computed.•Searchlight identifies the brain regions that are first affected by Alzheimer’s.•Our method maximizes classification accuracy while preserving spatial information.
论文关键词：Alzheimer’s disease,Data fusion,Ensemble classification,Mild cognitive impairment,MRI,Prediction,Searchlight
论文评审过程：Received 18 July 2020, Revised 14 May 2021, Accepted 1 July 2021, Available online 13 July 2021, Version of Record 20 July 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115549
