アルツハイマー病の診断に役立つ脳の安静時活動(The Brain’s Activity at Rest May Provide Clues to Alzheimer’s Disease Progression, Diagnosis)

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2025-08-28 ミシガン大学

ミシガン大学とコロンビア大学の研究チームは、安静時の脳活動パターンがアルツハイマー病(AD)の診断や進行予測に役立つ可能性を報告した。脳は常に機能ネットワークを再編成して認知課題に対応しており、この柔軟性を「神経柔軟性」と呼ぶ。研究ではADNIの862人を対象にfMRIを用いて神経柔軟性を解析。アルツハイマー病群は健常群より全脳および特定6ネットワークで柔軟性が有意に高く、軽度認知障害群でも視覚ネットワークで高値を示した。また健常群のうち11年間で8.6%が認知症へ移行し、特に視覚ネットワークの高い柔軟性が将来の発症リスクと関連していた。この結果は、認知障害の症状が出る前から脳の組織再編の特徴がリスク指標となる可能性を示唆する。研究者は診断応用にはまだ遠いとしつつ、脳の適応力と回復力の表れとして前向きに捉えている。

アルツハイマー病の診断に役立つ脳の安静時活動(The Brain’s Activity at Rest May Provide Clues to Alzheimer’s Disease Progression, Diagnosis)
Concept illustration of brain activity. Image credit: Nicole Smith, made with ChatGPT

<関連情報>

アルツハイマー病では神経可塑性が高く、アルツハイマー病移行を予測する Neural flexibility is higher in Alzheimer’s disease and predicts Alzheimer’s disease transition

Eleanna Varangis, Jun Liu, […] For Alzheimer’s Disease Neuroimaging Initiative
Journal of Alzheimer’s Disease  Published:July 17, 2025
DOI:https://doi.org/10.1177/13872877251360025

Abstract

Background

Neural flexibility (NF), a measure of dynamic functional connectivity, was associated with psychiatric diseases but has not yet been studied in Alzheimer’s disease (AD).

Objective

We aim to evaluate whether AD is associated with alterations in NF and probe its predictive utility for AD conversion.

Method

The study included 862 older adults (461 cognitively normal (CN), 294 mild cognitive impairment (MCI), 107 AD) with valid resting-state fMRI data from the Alzheimer’s Disease Neuroimaging Initiative. We defined the NF of a node as the number of times that a node changed its community assignment across the sliding windows, normalized by the total number of possible changes. We computed global NF and 12 functional network-specific NFs, then performed linear mixed models on NFs separately to explore the differences in these measures between our three groups. Finally, we evaluated the predictive utility of NF on dementia transition using survival analysis.

Results

NF is significantly higher in AD than CN on global NF (β = 0.002, 95% CI 0.001 to 0.004), and NF in six networks, and NF is significantly higher in MCI than CN in the visual network. Among n = 617 non-demented participants at baseline, n = 53 (8.6%) participants converted to dementia during the follow-up visits. Higher NF in the visual network was positively associated with AD transition (HR = 1.323, 95%CI 1.002 to 1.747, p = 0.049, per 1 SD in NF), controlling for age, gender, and education.

Conclusions

We found that NF during rest was higher in AD patients and predicted dementia transition. Thus, NF may be a valuable biomarker of AD; however, more validation and mechanistic studies need to be performed.

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