功能近红外光谱学在同时进行的跨磁刺激过程中的表面波动
概括
功能近红外光谱 (fNIRS) 有效地测量大脑活动. 这项研究证实了fNIRS数据中的身体噪声在经磁刺激 (TMS) 期间需要去除,以获得准确的结果.
科学领域:
- 神经成像是一种神经成像.
- 生物医学工程 生物医学工程
- 光学成像技术的成像
背景情况:
- 功能近红外光谱 (fNIRS) 测量大脑血液动力学,比fMRI提供便携性和更低成本等优势.
- fNIRS数据可能会被头皮吸收,呼吸,心跳和运动的生理噪音所混.
- 之前的研究已经确定了在自愿任务和休息状态下消除噪音的方法.
研究的目的:
- 调查fNIRS噪声组件在用脑电图 (EEG) 和跨磁刺激 (TMS) 同步记录期间的行为.
- 为了比较运动任务,单脉冲TMS和使用全头fNIRS组装的重复TMS之间的噪声概况.
- 为了验证在TMS并发的fNIRS数据中消除生理噪声的必要性.
主要方法:
- 获得了同步的fNIRS,EEG和TMS (fNET) 记录.
- 使用全头fNIRS组装,使用短分离和长分离通道.
- 在运动任务和不同的TMS协议期间分析了空间和时间噪声概况.
主要成果:
- 表面波动,一种生理噪音形式,存在于与TMS并发的fNIRS记录中.
- 噪声组件在运动任务和TMS协议中表现出类似的空间和时间特征,特别是在个体的α频率上.
- 这些发现强调了从同步TMS期间获得的fNIRS数据中去除生理噪声的必要性.
结论:
- 在fNIRS数据中的生理噪声在运动任务和TMS协议之间是一致的.
- 在并发的TMS期间,使用fNIRS精确的脑活动成像需要仔细删除表面波动.
- fNIRS提供了一种具有成本效益的,临床上可访问的神经影像选项,特别是当与TMS结合用于治疗应用时.
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