在患有帕金森病的患者中,大脑下丘脑核深度刺激的影响:机器学习语音分析
Antonio Suppa1,2, Francesco Asci1,2, Giovanni Costantini3
1Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
Frontiers in neurology
|November 6, 2023
概括
在帕金森病 (PD) 患者中,脑下丘脑核 (STN-DBS) 的深度大脑刺激会使言语恶化. 人工智能分析客观地证实了这种恶化,与临床语音损伤得分相关.
科学领域:
- 神经学 神经学
- 语音科学 语言科学
- 人工智能的人工智能
背景情况:
- 帕金森病 (PD) 显著影响言语.
- 脑下核的深度脑刺激 (STN-DBS) 是PD的治疗方法,但其对语音的影响尚未完全理解.
研究的目的:
- 使用人工智能客观分析接受STN-DBS的PD患者的声音变化.
- 为了比较STN-DBS的PD患者和接受医疗治疗的患者之间的语音障碍.
主要方法:
- 一项涉及101名PD患者 (50名STN-DBS患者,51名接受医学治疗) 和108名对照者的横截面研究.
- 临床语音评估使用统一帕金森病评分表 (UPDRS-III-v) 语音的第三部分子项目.
- 使用机器学习算法进行语音记录和分析;计算临床与仪器相关性的概率比率 (LR).
主要成果:
- 与接受口服治疗的患者相比,STN-DBS患者表现出更大的临床语音损伤.
- 机器学习准确地区分了STN-DBS患者和口腔治疗患者的声音.
- 在较高的LR和增加的UPDRS-III-v得分之间发现了显著的相关性,表明了客观的临床-仪器相关性.
结论:
- STN-DBS对PD患者的言语产生负面影响.
- 基于机器学习的语音分析提供了一个客观的方法来评估在帕金森病中STN-DBS相关的语言障碍.
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