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阿尔茨海默病相关的神经精神症状与多模态脑网络。

Neuropsychiatric symptoms associated multimodal brain networks in Alzheimer's disease.

机构信息

Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.

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.

出版信息

Hum Brain Mapp. 2023 Jan;44(1):119-130. doi: 10.1002/hbm.26051. Epub 2022 Aug 22.

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.

摘要

伴随的神经精神症状(NPS)与阿尔茨海默病(AD)的加速进展有关。确定与 NPS 相关的多模态脑影像模式可能有助于了解 AD 的病理生理学相关性。基于 AD 连续体,采用有监督的学习策略,使用 NPS 总分作为参考,指导四向多模态神经影像学融合(淀粉样蛋白、tau、灰质体积、脑功能)。比较了所确定的多模态模式在 AD 连续体上的负荷。然后,进行回归分析以研究其对纵向认知表现的可预测性。此外,在四个 NPS 亚综合征中重复了融合分析。在这里,在额皮质下边缘回路、枕叶和感觉运动区观察到与 NPS 相关的病理结构功能共变模式。该多模态模式的负荷随着 AD 的发展而逐渐增加。该模式与多个认知领域显著相关,并且可以预测纵向认知下降。值得注意的是,使用亚综合征作为参考的重复融合分析确定了与不同综合征相关的一些独特变化的类似模式。总之,NPS 与涉及复杂神经病理学的多模态成像模式相关,可有效预测纵向认知下降。这些结果强调了 AD 中 NPS 的可能神经基础,为临床管理提供了指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11e5/9783460/9fb69463bb7b/HBM-44-119-g003.jpg

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