声学特征与大脑体积之间的关联:弗雷明翰心脏研究
Huitong Ding1,2, Alexander P Hamel3, Cody Karjadi1,2
1Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
语音分析显示,早期检测轻度认知障碍 (MCI) 是有前途的. 声学特征与大脑结构相关,并提高了MCI预测准确度,超出了传统的神经成像. 这提供了一个非侵入性的,具有成本效益的诊断工具.
科学领域:
- 神经科学是一个神经科学.
- 生物医学工程 生物医学工程
- 语音科学 语言科学
背景情况:
- 大脑磁共振成像 (MRI) 对神经退行有价值,但成本高昂.
- 需要用于早期认知障碍检测的非侵入性,具有成本效益的方法.
- 人类声音显示出检测认知障碍的潜力,但其与神经成像的联系尚不清楚.
研究的目的:
- 研究声学声音特征与大脑体积之间的关联.
- 将声学特征的预测能力与轻度认知障碍 (MCI) 的MRI进行比较.
主要方法:
- 利用了来自弗雷明汉心脏研究 (FHS) 的4293名参与者的数据.
- 使用OpenSMILE软件提取了65个声学特征,并获得了9个MRI测量.
- 采用线性回归对协会和随机森林模型进行MCI预测 (AUC).
主要成果:
- 七个MRI测量与20多个声学特征相关.
- 在随访期间,MCI诊断显示有106例病例.
- 声学复合分数提高了MCI预测AUC到0.794,超过了MRI的0.759.
结论:
- 多个声学特征与MRI测量相关.
- 声学特征显示出作为MCI早期诊断的可访问的数字生物标志物的潜力.
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