4.6 Article

Comparison of subdural and subgaleal recordings of cortical high-gamma activity in humans

期刊

CLINICAL NEUROPHYSIOLOGY
卷 127, 期 1, 页码 277-284

出版社

ELSEVIER IRELAND LTD
DOI: 10.1016/j.clinph.2015.03.014

关键词

High-gamma brain machine interface; Brain computer interface; Electrocorticography; Electroencephalography; Subgaleal

资金

  1. National Science Foundation [EEC-1028725]
  2. Center for Sensorimotor Neural Engineering (CSNE), University of Washington Department of Computer Science and Engineering
  3. Rehabilitation Medicine Scientist Training Program
  4. EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT [K12HD001097] Funding Source: NIH RePORTER
  5. NATIONAL INSTITUTE OF MENTAL HEALTH [K01MH086118] Funding Source: NIH RePORTER
  6. NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [R01NS065186] Funding Source: NIH RePORTER

向作者/读者索取更多资源

Objective: The purpose of this study is to determine the relationship between cortical electrophysiological (CE) signals recorded from the surface of the brain (subdural electrocorticography, or ECoG) and signals recorded extracranially from the subgaleal (SG) space. Methods: We simultaneously recorded several hours of continuous ECoG and SG signals from 3 human pediatric subjects, and compared power spectra of signals between a differential SG montage and several differential ECoG montages to determine the nature of the transfer function between them. Results: We demonstrate the presence of CE signals in the SG montage in the high-gamma range (HG, 70-110 Hz), and the transfer function between 70 and 110 Hz is best characterized as a linear function of frequency. We also test an alternative transfer function, i.e. a single pole filter, to test the hypothesis of frequency dependent attenuation in that range, but find this model to be inferior to the linear model. Conclusions: Our findings indicate that SG electrodes are capable of recording HG signals without frequency distortion compared with ECoG electrodes. Significance: HG signals could be recorded minimally invasively from outside the skull, which could be important for clinical care or brain-computer interface applications. (C) 2015 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

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