NDLI: Mobile brain/body imaging (MoBI): High-density electrical mapping of inhibitory processes during walking

Content Provider	IEEE Xplore Digital Library
Author	De Sanctis, P. Butler, J.S. Green, J.M. Snyder, A.C. Foxe, J.J.
Copyright Year	2012
Description	Author affiliation: Dept. of Pediatrics & Neurosci., Albert Einstein Coll. of Med., Bronx, NY, USA (De Sanctis, P.; Butler, J.S.; Green, J.M.; Foxe, J.J.) \|\| Dept. of Ophthalmology, Visual Neurosci. Lab. Univ. of Pittsburgh, Pittsburgh, PA, USA (Snyder, A.C.)
Abstract	The present study investigated the feasibility of acquiring high-density event-related brain potential (ERP) recordings during treadmill walking in human subjects. The work builds upon recent studies testing the applicability of real-world tasks while obtaining electroencephalographic (EEG) recordings. Participants performed a response inhibition GO/NOGO task - designed to evoke a P3 component for correct response inhibitions and an error-related negativity (ERN) for incorrect commission errors - while speed of walking was experimentally manipulated. Robust P3 and ERN components were obtained under all experimental conditions - while participants were sitting, walking at moderate speed (2.4 km/hour), or walking rapidly (5 km/hour). Signal-to-noise ratios were remarkably similar across conditions, pointing to the feasibility of high-fidelity ERP recordings under relatively vigorous activity regimens. There is considerable research and clinical motivation to obtain high quality neurophysiological measures under more naturalistic environmental settings such as these. Strong links between cognitive load and gait abnormalities are seen in a number of clinical populations and these MoBI technologies provide highly promising methods for gaining insights into the underlying pathophysiology.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	1542
Ending Page	1545
File Size	703746
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6346236
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Legged locomotion Electroencephalography Robustness Testing Mobile communication Imaging Humans
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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