ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2011
Adaptation to a cortex-controlled robot attached at the pelvis and engaged during locomotion in rats.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 43 citations in OpenAlex.
- Article
- The Future of Neuroscience: Flexible and Wireless Implantable Neural Electronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Review
- Implantable Neural Probes for Brain-Machine Interfaces - Current Developments and Future Prospects.Experimental neurobiology · 2018Review
- Brain-controlled modulation of spinal circuits improves recovery from spinal cord injury.Nature communications · 2018Article
- Emergent coordination underlying learning to reach to grasp with a brain-machine interface.Journal of neurophysiology · 2018Article
- Neural reactivations during sleep determine network credit assignment.Nature neuroscience · 2017Article
- Engagement of the Rat Hindlimb Motor Cortex across Natural Locomotor Behaviors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016Article
- Teaching Adult Rats Spinalized as Neonates to Walk Using Trunk Robotic Rehabilitation: Elements of Success, Failure, and Dependence.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016Article
- Brain-controlled muscle stimulation for the restoration of motor function.Neurobiology of disease · 2015Review
- Brain-controlled neuromuscular stimulation to drive neural plasticity and functional recovery.Current opinion in neurobiology · 2015Review
- Adaptation to elastic loads and BMI robot controls during rat locomotion examined with point-process GLMs.Frontiers in systems neuroscience · 2015Article
- Plasticity and alterations of trunk motor cortex following spinal cord injury and non-stepping robot and treadmill training.Experimental neurology · 2014Article
- A pelvic implant orthosis in rodents, for spinal cord injury rehabilitation, and for brain machine interface research: construction, surgical implantation and validation.Journal of neuroscience methods · 2014Article
- Sensors and decoding for intracortical brain computer interfaces.Annual review of biomedical engineering · 2013Review
- Cortical plasticity induced by spike-triggered microstimulation in primate somatosensory cortex.PloS one · 2013Article
- Decoding hindlimb movement for a brain machine interface after a complete spinal transection.PloS one · 2012Article
- Neuroplasticity of the sensorimotor cortex during learning.Neural plasticity · 2011Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Brain-machine interfaces (BMIs) should ideally show robust adaptation of the BMI across different tasks and daily activities. Most BMIs have used overpracticed tasks. Little is known about BMIs in dynamic environments. How are mechanically body-coupled BMIs integrated into ongoing rhythmic dynamics, for example, in locomotion? To examine this, we designed a novel BMI using neural discharge in the hindlimb/trunk motor cortex in rats during locomotion to control a robot attached at the pelvis. We tested neural adaptation when rats experienced (1) control locomotion, (2) "simple elastic load" (a robot load on locomotion without any BMI neural control), and (3) "BMI with elastic load" (in which the robot loaded locomotion and a BMI neural control could counter this load). Rats significantly offset applied loads with the BMI while preserving more normal pelvic height compared with load alone. Adaptation occurred over ∼100-200 step cycles in a trial. Firing rates increased in both the loaded conditions compared with baseline. Mean phases of the discharge of cells in the step cycle shifted significantly between BMI and the simple load condition. Over time, more BMI cells became positively correlated with the external force and modulated more deeply, and the network correlations of neurons on a 100 ms timescale increased. Loading alone showed none of these effects. The BMI neural changes of rate and force correlations persisted or increased over repeated trials. Our results show that rats have the capacity to use motor adaptation and motor learning to fairly rapidly engage hindlimb/trunk-coupled BMIs in their locomotion.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.