Deep neural network heatmaps capture Alzheimer’s disease patterns reported in a large meta-analysis of neuroimaging studies

•We assessed the ability of deep networks heatmaps to capture AD effects on the brain.•SVMs, CNNs and ResNets were trained to classify 502 ADNI T1 MRIs.•GGC, integrated gradient and LRP used to produce heatmaps for the best classifiers.•Heatmaps were compared with a meta-analysis of 77 VBM studies a...

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Bibliographic Details
Published in:	NeuroImage (Orlando, Fla.) Vol. 269; p. 119929
Main Authors:	Wang, Di, Honnorat, Nicolas, Fox, Peter T., Ritter, Kerstin, Eickhoff, Simon B., Seshadri, Sudha, Habes, Mohamad
Format:	Journal Article
Language:	English
Published:	United States Elsevier Inc 01.04.2023 Elsevier Limited Elsevier
Subjects:	Alliances Alzheimer Disease Alzheimer's disease Artificial intelligence Brain - physiology Brain mapping Brain research Classification Deep learning Dementia Explainable AI Humans Image processing Immunoglobulins Magnetic resonance imaging Magnetic Resonance Imaging - methods Medical imaging Meta-analysis Methods Morphometry MRI Neural networks Neural Networks, Computer Neurodegenerative diseases Neuroimaging Neuroimaging - methods Propagation Deep learning Neuroimaging Explainable AI Alzheimer’s disease MRI
ISSN:	1053-8119, 1095-9572, 1095-9572
Online Access:	Get full text
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