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Neuropsychiatric symptoms associated multimodal brain networks in Alzheimer's disease.
Li, Kaicheng; Zeng, Qingze; Luo, Xiao; Qi, Shile; Xu, Xiaopei; Fu, Zening; Hong, Luwei; Liu, Xiaocao; Li, Zheyu; Fu, Yanv; Chen, Yanxing; Liu, Zhirong; Calhoun, Vince D; Huang, Peiyu; Zhang, Minming.
Afiliación
  • Li K; Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
  • Zeng Q; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.
  • Luo X; Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
  • Qi S; Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
  • Xu X; Department of Computer Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
  • Fu Z; Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
  • Hong L; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.
  • Liu X; Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
  • Li Z; Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
  • Fu Y; Department of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
  • Chen Y; Department of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
  • Liu Z; Department of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
  • Calhoun VD; Department of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
  • Huang P; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.
  • Zhang M; Department of Psychology, Computer Science, Neuroscience Institute, and Physics, Georgia State University, Atlanta, Georgia, USA.
Hum Brain Mapp ; 44(1): 119-130, 2023 01.
Article en En | MEDLINE | ID: mdl-35993678
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedad de Alzheimer / Disfunción Cognitiva Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Hum Brain Mapp Asunto de la revista: CEREBRO Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedad de Alzheimer / Disfunción Cognitiva Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Hum Brain Mapp Asunto de la revista: CEREBRO Año: 2023 Tipo del documento: Article País de afiliación: China