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Supraspinal Control of Human Locomotor Adaptation

人类运动适应的脊髓上控制

基本信息

批准号：
10377086
负责人：
Daniel P Ferris
金额：
$ 7.27万
依托单位：
UNIVERSITY OF FLORIDA
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-01-01 至 2023-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10377086
关键词：
Ankle Anterior Area Balance training Basic Science Behavior Biomechanics Brain Brain imaging Cerebellum Cerebral Dominance Cognition Consensus Data Diagnosis Electrodes Electroencephalography Equilibrium Excision Functional Magnetic Resonance Imaging Gait Gait speed Goals Head Human Image Imaging technology Laboratories Lead Leg Limb structure Literature Locomotion Locomotor adaptation Measures Modeling Monitor Morphologic artifacts Motion Motor Motor Cortex Movement Disorders Nervous System Trauma Noise Paper Parietal Lobe Peer Review Performance Process Publishing Research Personnel Robotics Running Signal Transduction Somatosensory Cortex Speed System Technology Testing Training United States National Institutes of Health Upper Extremity Visual Walking Work base blood oxygen level dependent brain computer interface cingulate cortex data repository density disability exoskeleton foot human subject imaging modality improved innovation insight locomotor control locomotor tasks mind control novel public health relevance relating to nervous system robot exoskeleton signal processing somatosensory temporal measurement treadmill walking speed

项目摘要

Title Supraspinal Control of Human Locomotor Adaptation Abstract Advances in electroencephalography (EEG) technology have made it feasible to study electrical brain dynamics during human gait. Active electrodes, novel signal processing approaches, and subject-specific inverse electrical head models allow for unprecedented insight into how the human brain controls locomotion. Further advances in EEG based mobile brain imaging will increase our fundamental understanding of how the human brain works in real world situations, improve diagnosis and treatment of movement disorders, and result in new brain- computer interfaces. We recently developed a novel noise-cancelling EEG system that can greatly improve the signal to noise ratio for EEG. We propose to use our novel EEG system to investigate human locomotor adaptation. Many studies have used blood-oxygen-level dependent imaging (e.g. fMRI or fNIRS) to study supraspinal control of upper limb motor adaptation or imagined human walking, but the timescale of those imaging modalities do not allow for identifying brain activity relative to the biomechanics of the gait cycle. We propose to use our novel EEG system to document the brain areas involved in locomotor adaptation. Specifically, we will quantify brain activity spectral fluctuations within the gait cycle that demonstrate correlations with locomotor adaptation. We expect that multiple brain areas, including the anterior cingulate, cerebellum, somatosensory cortex, and motor cortex are likely involved in the control and adaptation of walking. We also expect that areas involved in locomotor adaptation will decrease spectral power fluctuations with improvements in locomotor performance during challenging gait tasks. The specific tasks that we will investigate are walking at different speeds, walking on a split-belt treadmill, walking with a unilateral robotic ankle exoskeleton, and walking on a balance beam with visual perturbations. The high temporal resolution of EEG provides particularly valuable insight into both amplitude and timing of brain activity within the gait cycle. Our preliminary data suggest that there are more cortical areas involved in controlling human walking than are generally recognized in the literature. The results from these studies will increase our basic science understanding of the supraspinal control of human locomotor adaptation and should lead to further advances in EEG mobile brain imaging technology.

标题