Human electrocortical, electromyographical, ocular, and kinematic data during perturbed walking and standing
Active balance control is critical for performing many of our everyday activities. Our nervous systems rely on multiple sensory inputs to inform cortical processing, leading to coordinated muscle actions that maintain balance. However, such cortical processing can be challenging to record during mob...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-12-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340921009100 |
| _version_ | 1828138764123242496 |
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| author | Steven M. Peterson Daniel P. Ferris |
| author_facet | Steven M. Peterson Daniel P. Ferris |
| author_sort | Steven M. Peterson |
| collection | DOAJ |
| description | Active balance control is critical for performing many of our everyday activities. Our nervous systems rely on multiple sensory inputs to inform cortical processing, leading to coordinated muscle actions that maintain balance. However, such cortical processing can be challenging to record during mobile balance tasks due to limitations in noninvasive neuroimaging and motion artifact contamination. Here, we present a synchronized, multi-modal dataset from 30 healthy, young human participants during standing and walking while undergoing brief sensorimotor perturbations. Our dataset includes 20 total hours of high-density electroencephalography (EEG) recorded from 128 scalp electrodes, along with surface electromyography (EMG) from 10 neck and leg electrodes, electrooculography (EOG) recorded from 3 electrodes, and 3D body position from 2 sensors. In addition, we include ∼18000 total balance perturbation events across participants. To facilitate data reuse, we share this dataset in the Brain Imaging Data Structure (BIDS) data standard and publicly release code that replicates our previous event-related findings. |
| first_indexed | 2024-04-11T18:41:24Z |
| format | Article |
| id | doaj.art-f13021780c5c4676ba261adb9ff9fdb7 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-04-11T18:41:24Z |
| publishDate | 2021-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-f13021780c5c4676ba261adb9ff9fdb72022-12-22T04:08:58ZengElsevierData in Brief2352-34092021-12-0139107635Human electrocortical, electromyographical, ocular, and kinematic data during perturbed walking and standingSteven M. Peterson0Daniel P. Ferris1Corresponding author.; Department of Biology, University of Washington, Seattle 98195, USADepartment of Biomedical Engineering, University of Florida, J. Crayton Pruitt Family, Gainesville 32611, USAActive balance control is critical for performing many of our everyday activities. Our nervous systems rely on multiple sensory inputs to inform cortical processing, leading to coordinated muscle actions that maintain balance. However, such cortical processing can be challenging to record during mobile balance tasks due to limitations in noninvasive neuroimaging and motion artifact contamination. Here, we present a synchronized, multi-modal dataset from 30 healthy, young human participants during standing and walking while undergoing brief sensorimotor perturbations. Our dataset includes 20 total hours of high-density electroencephalography (EEG) recorded from 128 scalp electrodes, along with surface electromyography (EMG) from 10 neck and leg electrodes, electrooculography (EOG) recorded from 3 electrodes, and 3D body position from 2 sensors. In addition, we include ∼18000 total balance perturbation events across participants. To facilitate data reuse, we share this dataset in the Brain Imaging Data Structure (BIDS) data standard and publicly release code that replicates our previous event-related findings.http://www.sciencedirect.com/science/article/pii/S2352340921009100Mobile brain/body imagingElectroencephalographyElectromyographyElectrooculographyMotion captureIndependent component analysis |
| spellingShingle | Steven M. Peterson Daniel P. Ferris Human electrocortical, electromyographical, ocular, and kinematic data during perturbed walking and standing Data in Brief Mobile brain/body imaging Electroencephalography Electromyography Electrooculography Motion capture Independent component analysis |
| title | Human electrocortical, electromyographical, ocular, and kinematic data during perturbed walking and standing |
| title_full | Human electrocortical, electromyographical, ocular, and kinematic data during perturbed walking and standing |
| title_fullStr | Human electrocortical, electromyographical, ocular, and kinematic data during perturbed walking and standing |
| title_full_unstemmed | Human electrocortical, electromyographical, ocular, and kinematic data during perturbed walking and standing |
| title_short | Human electrocortical, electromyographical, ocular, and kinematic data during perturbed walking and standing |
| title_sort | human electrocortical electromyographical ocular and kinematic data during perturbed walking and standing |
| topic | Mobile brain/body imaging Electroencephalography Electromyography Electrooculography Motion capture Independent component analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2352340921009100 |
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