协议因素和参与者特征对中风后功能近红外光谱数据质量的影响
Erin L Meier1, Lisa D Bunker1, Hana Kim1
1Department of Neurology, Johns Hopkins University, Baltimore, MD, 21287, USA.
Neuroimage. Reports
|October 6, 2025
概括
功能近红外光谱 (fNIRS) 数据质量受到任务难度和参与者人口统计学的影响. 图片命名任务显示质量较差,黑人女性经历了更糟糕的fNIRS信号,突出了减轻偏见的需要.
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
- 康复科学 康复科学 康复科学
背景情况:
- 功能近红外光谱 (fNIRS) 是一种有前途的神经成像技术,用于研究大脑活动,特别是在中风幸存者中.
- 尽管它与fMRI相比具有优势,但影响fNIRS数据质量的因素及其对中风患者神经成像的影响需要进一步调查.
研究的目的:
- 研究如何协议因素和参与者特征影响原始fNIRS信号质量在有中风病史的个体.
- 评估fNIRS质量控制指标与大脑活动和功能连接的测量之间的关系.
主要方法:
- 107名中风病史患者完成了具有不同认知和语言需求的任务 (休息状态,话语理解,图片命名).
- 通过QT-NIRS工具箱,使用头皮合指数,峰值光谱功率和坏通道计数来评估fNIRS原始数据的质量.
- 进行了统计分析,以比较跨任务和人口群体的数据质量,并将质量指标与大脑活动和连接性相关联.
主要成果:
- 与休息状态和话语理解任务相比,在图片命名任务中,fNIRS数据质量明显较低.
- 与黑人男性和白人相比,黑人女性的fNIRS信号质量通常较差.
- 在原始fNIRS信号质量和休息状态功能连接之间没有发现显著的关联,但一些通道显示在图片命名期间血红蛋白变化和头皮合之间存在关联.
结论:
- 任务设计,特别是更高的认知和运动语言需求,会对fNIRS数据质量产生负面影响.
- 参与者人口统计学,特别是种族和性别,引入了fNIRS信号质量的偏见,需要仔细考虑包容性.
- 未来的研究应该优先考虑强大的数据预处理和系统方法,以减轻固有的光学仪器偏差,并加强对神经科学中代表性不足的群体的纳入.
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