Frontoparietal atrophy trajectories in cognitively unimpaired elderly individuals using longitudinal Bayesian clustering

IF 7 2区医学 Q1 BIOLOGY Computers in biology and medicine Pub Date : 2024-11-01 DOI:10.1016/j.compbiomed.2024.109190

G. Lorenzon , K. Poulakis , R. Mohanty , M. Kivipelto , M. Eriksdotter , D. Ferreira , E. Westman , for the Alzheimer's Disease Neuroimaging Initiative

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Abstract

Introduction

Frontal and/or parietal atrophy has been reported during aging. To disentangle the heterogeneity previously observed, this study aimed to uncover different clusters of grey matter profiles and trajectories within cognitively unimpaired individuals.

Methods

Structural magnetic resonance imaging (MRI) data of 307 Aβ-negative cognitively unimpaired individuals were modelled between ages 60–85 from three cohorts worldwide. We applied unsupervised clustering using a novel longitudinal Bayesian approach and characterized the clusters' cerebrovascular and cognitive profiles.

Results

Four clusters were identified with different grey matter profiles and atrophy trajectories. Differences were mainly observed in frontal and parietal brain regions. These distinct frontoparietal grey matter profiles and longitudinal trajectories were differently associated with cerebrovascular burden and cognitive decline.

Discussion

Our findings suggest a conciliation of the frontal and parietal theories of aging, uncovering coexisting frontoparietal GM patterns. This could have important future implications for better stratification and identification of at-risk individuals.

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利用纵向贝叶斯聚类研究认知功能未受损的老年人的额顶叶萎缩轨迹。

简介额叶和/或顶叶在衰老过程中出现萎缩。为了揭示之前观察到的异质性，本研究旨在发现认知功能未受损个体的灰质特征和轨迹的不同集群：对全球三个队列中年龄在 60-85 岁之间的 307 名 Aβ 阴性认知功能未受损者的结构性磁共振成像（MRI）数据进行建模。我们采用一种新颖的纵向贝叶斯方法进行了无监督聚类，并描述了这些聚类的脑血管和认知特征：结果：我们发现了四个具有不同灰质特征和萎缩轨迹的集群。主要在额叶和顶叶脑区观察到差异。这些不同的额顶叶灰质特征和纵向轨迹与脑血管负担和认知能力下降有着不同的关联：讨论：我们的研究结果表明，额叶和顶叶衰老理论是一致的，发现了共存的额顶灰质模式。这对未来更好地分层和识别高危人群具有重要意义。

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来源期刊

Computers in biology and medicine 工程技术-工程：生物医学

CiteScore

11.70

自引率

10.40%

发文量

1086

审稿时长

74 days

期刊介绍： Computers in Biology and Medicine is an international forum for sharing groundbreaking advancements in the use of computers in bioscience and medicine. This journal serves as a medium for communicating essential research, instruction, ideas, and information regarding the rapidly evolving field of computer applications in these domains. By encouraging the exchange of knowledge, we aim to facilitate progress and innovation in the utilization of computers in biology and medicine.