دورية أكاديمية
أعرض في EDS

Behavioral and Neural Variability of Naturalistic Arm Movements.

التفاصيل البيبلوغرافية
العنوان: Behavioral and Neural Variability of Naturalistic Arm Movements.
المؤلفون: Peterson SM; Department of Biology, University of Washington, Seattle, Washington 98195 stepeter@uw.edu.; eScience Institute, University of Washington, Seattle, Washington 98195., Singh SH; Department of Electrical & Computer Engineering, University of Washington, Seattle, Washington 98195., Wang NXR; IBM Research, San Jose, California 95120.; Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, Washington 98195., Rao RPN; Department of Electrical & Computer Engineering, University of Washington, Seattle, Washington 98195.; Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, Washington 98195.; Center for Neurotechnology, University of Washington, Seattle, Washington 98195., Brunton BW; Department of Biology, University of Washington, Seattle, Washington 98195.; eScience Institute, University of Washington, Seattle, Washington 98195.
المصدر: ENeuro [eNeuro] 2021 Jun 22; Vol. 8 (3). Date of Electronic Publication: 2021 Jun 22 (Print Publication: 2021).
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Society for Neuroscience Country of Publication: United States NLM ID: 101647362 Publication Model: Electronic-Print Cited Medium: Internet ISSN: 2373-2822 (Electronic) Linking ISSN: 23732822 NLM ISO Abbreviation: eNeuro Subsets: MEDLINE
أسماء مطبوعة: Original Publication: [Washington, DC] : Society for Neuroscience, [2014]-
مواضيع طبية MeSH: Arm* , Electrocorticography*, Brain ; Humans ; Movement
مستخلص: 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.
(Copyright © 2021 Peterson et al.)
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فهرسة مساهمة: Keywords: electrocorticography; naturalistic neuroscience; spectral power
تواريخ الأحداث: Date Created: 20210525 Date Completed: 20210702 Latest Revision: 20231107
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC8225404
DOI: 10.1523/ENEURO.0007-21.2021
PMID: 34031100
قاعدة البيانات: MEDLINE
الوصف
تدمد:2373-2822
DOI:10.1523/ENEURO.0007-21.2021