ArticleeNeuro
Behavioral and Neural Variability of Naturalistic Arm Movements.
Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Video-based Detection of Delirium in Hospitalized Adults.medRxiv : the preprint server for health sciences · 2026Article
- Video-based detection of Delirium in hospitalized adults.PLOS digital health · 2026Article
- Self-Reported Acceptance of a Wearable Activity Monitor in Persons With Stroke: Usability Study.JMIR cardio · 2025Article
- Review
- Article
- Consistent spectro-spatial features of human ECoG successfully decode naturalistic behavioral states.Frontiers in human neuroscience · 2024Article
- Spatiotemporal dynamics of human high gamma discriminate naturalistic behavioral states.PLoS computational biology · 2022Article
- AJILE12: Long-term naturalistic human intracranial neural recordings and pose.Scientific data · 2022Article
- Developmental differences in the perception of naturalistic human movements.Frontiers in human neuroscience · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Motor behaviors are central to many functions and dysfunctions of the brain, and understanding their neural basis has consequently been a major focus in neuroscience. However, most studies of motor behaviors have been restricted to artificial, repetitive paradigms, far removed from natural movements performed "in the wild." Here, we leveraged recent advances in machine learning and computer vision to analyze intracranial recordings from 12 human subjects during thousands of spontaneous, unstructured arm reach movements, observed over several days for each subject. These naturalistic movements elicited cortical spectral power patterns consistent with findings from controlled paradigms, but with considerable neural variability across subjects and events. We modeled interevent variability using 10 behavioral and environmental features; the most important features explaining this variability were reach angle and day of recording. Our work is among the first studies connecting behavioral and neural variability across cortex in humans during unstructured movements and contributes to our understanding of long-term naturalistic behavior.
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Registered trials
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