Research Papers

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

[+] Author Affiliations
Paolo Giacometti

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

Solomon G. Diamond

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

Neurophoton. 1(2), 025001 (Sep 02, 2014). doi:10.1117/1.NPh.1.2.025001
History: Received March 14, 2014; Revised July 22, 2014; Accepted July 25, 2014
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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 R=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 R=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.

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Citation

Paolo Giacometti and Solomon G. Diamond
"Correspondence of electroencephalography and near-infrared spectroscopy sensitivities to the cerebral cortex using a high-density layout", Neurophoton. 1(2), 025001 (Sep 02, 2014). ; http://dx.doi.org/10.1117/1.NPh.1.2.025001


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