Publication

Neuropsychiatric symptoms associated multimodal brain networks in Alzheimer's disease

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Last modified
  • 06/25/2025
Type of Material
Authors
    Kaicheng Li, Zhejiang UniversityQingze Zeng, Zhejiang UniversityXiao Luo, Zhejiang UniversityShile Qi, Nanjing University of Aeronautics & AstronauticsXiaopei Xu, Zhejiang UniversityZening Fu, Triinst Ctr Translat Res Neuroimaging & Data SciLuwei Hong, Zhejiang UniversityXiaocao Liu, Zhejiang UniversityZheyu Li, Zhejiang UniversityYanv Fu, Zhejiang UniversityYanxing Chen, Zhejiang UniversityZhirong Liu, Zhejiang UniversityVince Calhoun, Emory UniversityPeiyu Huang, Zhejiang UniversityMinming Zhang, Zhejiang University
Language
  • English
Date
  • 2022-08-22
Publisher
  • WILEY
Publication Version
Copyright Statement
  • © 2022 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 44
Issue
  • 1
Start Page
  • 119
End Page
  • 130
Grant/Funding Information
  • National Key Research and Development Program of China, Grant/Award Number: 2016YFC1306600; National Natural Science Foundation of China, Grant/Award Numbers: 81901707, 82001766; National Institutes of Health, Grant/Award Number: RF1AG063153
Supplemental Material (URL)
Abstract
  • Concomitant neuropsychiatric symptoms (NPS) are associated with accelerated Alzheimer's disease (AD) progression. Identifying multimodal brain imaging patterns associated with NPS may help understand pathophysiology correlates AD. Based on the AD continuum, a supervised learning strategy was used to guide four-way multimodal neuroimaging fusion (Amyloid, Tau, gray matter volume, brain function) by using NPS total score as the reference. Loadings of the identified multimodal patterns were compared across the AD continuum. Then, regression analyses were performed to investigate its predictability of longitudinal cognition performance. Furthermore, the fusion analysis was repeated in the four NPS subsyndromes. Here, an NPS-associated pathological–structural–functional covaried pattern was observed in the frontal-subcortical limbic circuit, occipital, and sensor-motor region. Loading of this multimodal pattern showed a progressive increase with the development of AD. The pattern significantly correlates with multiple cognitive domains and could also predict longitudinal cognitive decline. Notably, repeated fusion analysis using subsyndromes as references identified similar patterns with some unique variations associated with different syndromes. Conclusively, NPS was associated with a multimodal imaging pattern involving complex neuropathologies, which could effectively predict longitudinal cognitive decline. These results highlight the possible neural substrate of NPS in AD, which may provide guidance for clinical management.
Author Notes
  • Minming Zhang and Peiyu Huang, Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, No. 88 Jie‐Fang Road, Shang‐Cheng District, Hangzhou 310009, China. Email: zhangminming@zju.edu.cn(M.Z.) and huangpy@zju.edu.cn (P.H.)
Keywords
Research Categories
  • Health Sciences, Radiology
  • Computer Science
  • Psychology, General

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