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臨床症状

Madeline R Hale1,2, Deling He3, Rebecca E Langhough4,5,6

  • 1Department of Communication Sciences and Disorders, University of Wisconsin-Madison, Madison, WI, USA.

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まとめ
この要約は機械生成です。

軽度認知障害(MCI)の個人は、認知機能が正常な(CU)個人と比較して、物語再生(SR)時間が短く、休止時間が増加するという特徴的な発話パターンを示す。これらの音響発話特徴は、アルツハイマー病(AD)の早期バイオマーカーとして可能性を示す。

キーワード:
アルツハイマー病軽度認知障害発話休止バイオマーカー認知機能低下

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科学分野:

  • 神経学; 言語病理学; バイオマーカー発見

背景:

  • 休止などの微妙な発話特徴は、PETバイオマーカーによって検出可能なアルツハイマー病(AD)病理の敏感な指標である。; 以前の研究では、クッキ-盗難(CT)絵描写における無音休止が、認知機能が正常な(CU)個人と認知機能が障害された個人を区別でき、後者の方が発話と休止が長いことが示された。; 本研究では、物語再生(SR)課題の領域に自動休止検出方法の調査を拡張する。

研究 の 目的:

  • 物語再生(SR)中の無音休止の自動音響分析の有用性を、早期アルツハイマー病(AD)の潜在的バイオマーカーとして調査すること。; 軽度認知障害(MCI)の個人と認知機能が正常な(CU)対照群の間で、特に休止指標と持続時間における発話特性を比較すること。; これらの発話指標とPETバイオマーカー(アミロイド/タウ)、神経心理学的検査の結果、および全体的な認知状態との相関を評価すること。

主な方法:

  • ウィスコンシンアルツハイマー病予防登録(WRAP)およびウィスコンシンアルツハイマー病研究センター(WADRC)から選択された50人の参加者(MCI 25人、CU 25人)は、主要な人口統計学的特性が一致していた。; 物語再生(SR)の遅延再生音声記録(WRAPの場合は論理記憶、WADRCの場合はクラフトストーリー)は、MATLAB Speech Pause Analysisを使用して無音休止(>80ms)を抽出するために処理された。; 統計分析には、グループ比較のためのウィルコクソン符号順位検定、臨床/バイオマーカーデータとの関連性のためのスピアマン相関、および診断予測のためのロジスティック回帰/ROC分析が含まれた。

主要な成果:

  • 認知機能が正常な(CU)参加者は物語再生(SR)時間が長かったが、軽度認知障害(MCI)群は休止時間の平均が長く、休止の割合が高かった。; SRにおける発話時間は、様々な神経心理学的検査の成績およびアミロイドPET負荷と有意に相関していた。; SRの総発話時間は、認知グループを区別する上で、クッキ-盗難(CT)課題を上回り、認知状態の有意な予測因子(AUC=0.76)となった。

結論:

  • MCIの個人は、CUの個人と比較してSR時間が短く、休止頻度/持続時間が増加しており、エピソード記憶障害を反映している可能性がある。; SR課題における短い発話時間は、アミロイドβレベルの上昇と関連しており、AD病理との関連を示唆している。; SRにおける休止の自動音響分析は、ADの敏感で非侵襲的な早期マーカーとして有望であり、多様な集団でのさらなる調査に値する。