High-density EEG mobile brain/body imaging data recorded during a challenging auditory gait pacing task

Area of Science:

• Neuroscience
• Biomechanics
• Data Science

Background:

• Auditory cueing aids gait rehabilitation in neurological conditions.
• Understanding cortical dynamics during gait is crucial for treating movement disorders.

Purpose of the Study:

• To present a novel mobile brain/body imaging (MoBI) dataset.
• To enable research into source-resolved cortical dynamics during coordinated gait.
• To support studies on adapting gait to auditory pacing variations.

Main Methods:

• Collected high-density electroencephalography (EEG) and electromyography (EMG) data.
• Utilized heel pressure sensors and goniometers for gait analysis.
• Recorded data from 20 healthy participants in a rhythmic auditory cueing paradigm.
• Formatted data according to the Brain Imaging Data Structure (BIDS) standard.

Main Results:

• A comprehensive MoBI dataset capturing gait dynamics and neural activity was generated.
• The dataset allows for detailed analysis of cortical control during rhythmic walking.
• The data facilitates investigation into adaptation to tempo changes in auditory pacing.

Conclusions:

• The presented dataset is valuable for studying the neural basis of gait control.
• The BIDS format promotes data sharing and reproducible research in neuroscience and biomechanics.
• This resource can advance understanding and treatment of gait impairments.