Full body mobile brain-body imaging data during unconstrained locomotion on stairs, ramps, and level ground

Abstract

Human locomotion is a complex process that requires the integration of central and peripheral nervous signalling. Understanding the brain’s involvement in locomotion is challenging and is traditionally investigated during locomotor imagination or observation. However, stationary imaging methods lack the ability to infer information about the peripheral and central signalling during actual task execution. In this report, we present a dataset containing simultaneously recorded electroencephalography (EEG), lower-limb electromyography (EMG), and full body motion capture recorded from ten able-bodied individuals. The subjects completed an average of twenty trials on an experimental gait course containing level-ground, ramps, and stairs. We recorded 60-channel EEG from the scalp and 4-channel EOG from the face and temples. Surface EMG was recorded from six muscle sites bilaterally on the thigh and shank. The motion capture system consisted of seventeen wireless IMUs, allowing for unconstrained ambulation in the experimental space. In this report, we present the rationale for collecting these data, a detailed explanation of the experimental setup, and a brief validation of the data quality.

Dance on the Brain: Enhancing Intra- and Inter-Brain Synchrony

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Multi-channel EEG recordings during a sustained-attention driving task

“…Consistent with previous data descriptors on practice reuse of EEG processing 23,24 , note that all EEG data including both raw and pre-processed versions, were saved in the figshare. In terms of the pre-processed dataset, all EEG data were saved after the pre-processing steps.…”

The Untapped Potential of Virtual Reality in Rehabilitation of Balance and Gait in Neurological Disorders

“…As an example, animal research has shown that MSTd and the parietoinsular vestibular contribute to a coherent percept of heading by responding both to vestibular cues and optic flow ( Duffy, 1998 ; Angelaki et al, 2011 )—an observation that was made possible by exposing the animal to a combination of optic flow manipulation and actual body translation in space. In human research, the emergence of mobile neuroimaging tools (e.g., fNIRS, EEG) and more robust analysis algorithms now makes it possible to examine the neural substrates of actual locomotion ( Gramann et al, 2011 ; Brantley et al, 2018 ; Gennaro and De Bruin, 2018 ; Nordin et al, 2019 ; Wagner et al, 2019 ). Studies combining VR as well as other technologies (e.g., motion platform, robotic devices) to mobile neuroimaging can be expected, in the near future, to flourish and advance our understanding of locomotor control in complex, comprehensive yet controlled multisensory environments.…”