高齢成人における機能的な脳ネットワークの個別化マッピング

Colleen Hughes, Anne C Krendl, Roberto C French

bioRxiv : the preprint server for biology

|February 12, 2026

まとめ

個別化された脳ネットワークマッピングは,高齢者の年齢に関連するユニークな変化を明らかにします. このアプローチは,従来のグループ方法と比較して,神経認知老化と脳の変動性のより正確な理解を提供します.

科学分野:

神経科学は神経科学である.
コグニティブ・サイエンスコグニティブ・サイエンス
ゲロントロジーはゲロントロジーの学科です.

背景:

老化する脳は,機能的なネットワークアーキテクチャの有意な変化を示し,体系的および特異的の両方である.
現在のネットワークマッピングは,多くの場合,若い成人に焦点を当てており,年齢特有の神経の変動性が欠けている可能性があります.

研究の目的:

個人特有の機能ネットワークのマッピングの有効性と影響の評価を,若年および高齢者において行う.
ニューロ・コグニティブ・エイジングを特徴付けるための伝統的なグループ平均アプローチと個別化されたマッピングを比較する.

主な方法:

2つの機能的磁気共鳴画像 (fMRI) データセット (n=112人の若者,n=176人の高齢者) を利用した.
静止状態のfMRIデータに個別化されたネットワークマッピング技術を適用した.
評価されたネットワークの均質性,fMRIタスクへの忠実性,信頼性,および差別性.

主要な成果:

年配の成人は,若い成人に比べて,より特異的な機能的なネットワークトポグラフィーを示した.
個別化されたマップは,ネットワークの均質性とタスクのアクティベーションへの忠実性を強化しました.
個別化されたマッピングは,2年以上にわたる信頼性と,個人間の差別性を示した.

結論:

個別化されたネットワークマッピングは,高齢の成人期における有意な異質性を捉えます.
このアプローチは,グループ平均化方法よりも神経認知老化のより正確な特徴付けを提供します.
個別化されたマッピングは,年齢に関連する神経および行動の変化性の理解を向上させます.

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