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认知神经科学中的高密度事件相关电位数据采集。

High density event-related potential data acquisition in cognitive neuroscience.

作者信息

Slotnick Scott D

机构信息

Department of Psychology, Boston College, USA.

出版信息

J Vis Exp. 2010 Apr 16(38):1945. doi: 10.3791/1945.

Abstract

Functional magnetic resonance imaging (fMRI) is currently the standard method of evaluating brain function in the field of Cognitive Neuroscience, in part because fMRI data acquisition and analysis techniques are readily available. Because fMRI has excellent spatial resolution but poor temporal resolution, this method can only be used to identify the spatial location of brain activity associated with a given cognitive process (and reveals virtually nothing about the time course of brain activity). By contrast, event-related potential (ERP) recording, a method that is used much less frequently than fMRI, has excellent temporal resolution and thus can track rapid temporal modulations in neural activity. Unfortunately, ERPs are under utilized in Cognitive Neuroscience because data acquisition techniques are not readily available and low density ERP recording has poor spatial resolution. In an effort to foster the increased use of ERPs in Cognitive Neuroscience, the present article details key techniques involved in high density ERP data acquisition. Critically, high density ERPs offer the promise of excellent temporal resolution and good spatial resolution (or excellent spatial resolution if coupled with fMRI), which is necessary to capture the spatial-temporal dynamics of human brain function.

摘要

功能磁共振成像(fMRI)是目前认知神经科学领域评估脑功能的标准方法,部分原因是fMRI数据采集和分析技术易于获得。由于fMRI具有出色的空间分辨率但时间分辨率较差,该方法只能用于识别与特定认知过程相关的脑活动的空间位置(并且几乎无法揭示脑活动的时间进程)。相比之下,事件相关电位(ERP)记录,一种比fMRI使用频率低得多的方法,具有出色的时间分辨率,因此可以追踪神经活动中的快速时间调制。不幸的是,ERP在认知神经科学中未得到充分利用,因为数据采集技术不易获得,并且低密度ERP记录的空间分辨率较差。为了促进ERP在认知神经科学中的更多使用,本文详细介绍了高密度ERP数据采集所涉及的关键技术。至关重要的是,高密度ERP有望提供出色的时间分辨率和良好的空间分辨率(如果与fMRI结合则具有出色的空间分辨率),这对于捕捉人类脑功能的时空动态是必要的。

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