Macroscale structural covariance network reveals the biological mechanisms of neuropsychiatric symptoms in the Alzheimer’s continuum

This is the first study to identify three distinct NPS subtypes in the AD continuum through a data-driven approach, bridging the gap in the knowledge on the contributions of NPSs to the onset and development of AD. Our study constitutes a step toward resolving stagnant research progress on NPS management strategies based on clinical symptoms, and offers new insights into precise interventions for these patients.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.084816
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Macroscale structural covariance network reveals the biological mechanisms of neuropsychiatric symptoms in the Alzheimer’s continuum

Shirui Jiang, Penglin Zheng, Kun Zhao, Jiwei Jiang
Alzheimer s & Dementia
Radiomics and Machine Learning in Medical Imaging
article

Macroscale structural covariance network reveals the biological mechanisms of neuropsychiatric symptoms in the Alzheimer’s continuum

Shirui Jiang, Penglin Zheng, Kun Zhao, Jiwei Jiang
article en

Abstract

This is the first study to identify three distinct NPS subtypes in the AD continuum through a data-driven approach, bridging the gap in the knowledge on the contributions of NPSs to the onset and development of AD. Our study constitutes a step toward resolving stagnant research progress on NPS management strategies based on clinical symptoms, and offers new insights into precise interventions for these patients.

Alzheimer s & DementiaVol. 20(S3)
Beijing University of Posts and Telecommunications (CN), Capital Medical University (CN), Beijing Tian Tan Hospital (CN)
Openalex Percentile: Top 58%
Radiomics and Machine Learning in Medical Imaging
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