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使用高密度布局时脑电图与近红外光谱对大脑皮层敏感性的对应关系。

Correspondence of electroencephalography and near-infrared spectroscopy sensitivities to the cerebral cortex using a high-density layout.

作者信息

Giacometti Paolo, Diamond Solomon G

机构信息

Thayer School of Engineering at Dartmouth, 14 Engineering Drive, Hanover, New Hampshire 03755, United States.

出版信息

Neurophotonics. 2014 Oct;1(2):025001. doi: 10.1117/1.NPh.1.2.025001.

Abstract

This study investigates the correspondence of the cortical sensitivity of electroencephalography (EEG) and near-infrared spectroscopy (NIRS). EEG forward model sensitivity to the cerebral cortex was calculated for 329 EEG electrodes following the 10-5 EEG positioning system using a segmented structural magnetic resonance imaging scan of a human subject. NIRS forward model sensitivity was calculated for the same subject using 156 NIRS source-detector pairs selected from 32 source and 32 detector optodes positioned on the scalp using a subset of the 10-5 EEG positioning system. Sensitivity correlations between colocalized NIRS source-detector pair groups and EEG channels yielded = 0.46 ± 0.08. Groups of NIRS source-detector pairs with maximum correlations to EEG electrode sensitivities are tabulated. The mean correlation between the point spread functions for EEG and NIRS regions of interest (ROI) was = 0.43 ± 0.07. Spherical ROIs with radii of 26 mm yielded the maximum correlation between EEG and NIRS averaged across all cortical mesh nodes. These sensitivity correlations between EEG and NIRS should be taken into account when designing multimodal studies of neurovascular coupling and when using NIRS as a statistical prior for EEG source localization.

摘要

本研究调查了脑电图(EEG)和近红外光谱(NIRS)的皮质敏感性对应关系。使用人类受试者的分段结构磁共振成像扫描,按照10 - 5脑电图定位系统,为329个EEG电极计算了EEG正向模型对大脑皮质的敏感性。对于同一受试者,使用从32个源和32个探测器光极中选出的156对NIRS源 - 探测器对(这些光极使用10 - 5脑电图定位系统的一个子集放置在头皮上)计算了NIRS正向模型的敏感性。共定位的NIRS源 - 探测器对组与EEG通道之间的敏感性相关性为 = 0.46±0.08。列出了与EEG电极敏感性具有最大相关性的NIRS源 - 探测器对组。EEG和NIRS感兴趣区域(ROI)的点扩散函数之间的平均相关性为 = 0.43±0.07。半径为26 mm的球形ROI在所有皮质网格节点上的EEG和NIRS之间产生了最大相关性。在设计神经血管耦合的多模态研究以及将NIRS用作EEG源定位的统计先验时,应考虑EEG和NIRS之间的这些敏感性相关性。

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