Detecting Pathology‐Confirmed Neurodegenerative Patterns in Mixed‐Dementia: Deep Learning Networks Construct Novel Neuroimaging Signatures of Alzheimer's, Vascular, and Lewy Body Dementias

We have demonstrated the effectiveness of our novel deep-learning framework in identifying antemortem neuroimaging signatures associated with distinct pathologies. The newly developed DeepSPARE indices are accurate, pathology-specific, and noninvasive neuroimaging metrics, connecting widely available in-vivo T1 imaging with pathological identifications.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_103182
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Detecting Pathology‐Confirmed Neurodegenerative Patterns in Mixed‐Dementia: Deep Learning Networks Construct Novel Neuroimaging Signatures of Alzheimer's, Vascular, and Lewy Body Dementias

Di Wang
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Detecting Pathology‐Confirmed Neurodegenerative Patterns in Mixed‐Dementia: Deep Learning Networks Construct Novel Neuroimaging Signatures of Alzheimer's, Vascular, and Lewy Body Dementias

Di Wang
article en

Abstract

We have demonstrated the effectiveness of our novel deep-learning framework in identifying antemortem neuroimaging signatures associated with distinct pathologies. The newly developed DeepSPARE indices are accurate, pathology-specific, and noninvasive neuroimaging metrics, connecting widely available in-vivo T1 imaging with pathological identifications.

Alzheimer s & DementiaVol. 21(S2)
The University of Texas at San Antonio Health Science Center (US), The University of Texas Health Science Center at Houston (US)
Openalex Percentile: Top 33%
Dementia and Cognitive Impairment Research
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