ArticlePloS one2013
Detection of error related neuronal responses recorded by electrocorticography in humans during continuous movements.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 54 citations in OpenAlex.
- Stable long-term BCI-enabled communication in ALS and locked-in syndrome using LFP signals.Journal of neurophysiology · 2018Trial
- Differential motor neuron activity in rats during successful and failed grasping.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- A spinal cord neuroprosthesis for locomotor deficits due to Parkinson's disease.Nature medicine · 2023Article
- Unsupervised adaptation of an ECoG based brain-computer interface using neural correlates of task performance.Scientific reports · 2022Article
- Single-Trial Classification of Error-Related Potentials in People with Motor Disabilities: A Study in Cerebral Palsy, Stroke, and Amputees.Sensors (Basel, Switzerland) · 2022Article
- Error-Related Potentials in Reinforcement Learning-Based Brain-Machine Interfaces.Frontiers in human neuroscience · 2022Review
- Customizing skills for assistive robotic manipulators, an inverse reinforcement learning approach with error-related potentials.Communications biology · 2021Article
- Online asynchronous decoding of error-related potentials during the continuous control of a robot.Scientific reports · 2019Article
- Cortical Topography of Error-Related High-Frequency Potentials During Erroneous Control in a Continuous Control Brain-Computer Interface.Frontiers in neuroscience · 2019Article
- Error-Related Neural Responses Recorded by Electroencephalography During Post-stroke Rehabilitation Movements.Frontiers in neurorobotics · 2019Article
- Configuration of electrical spinal cord stimulation through real-time processing of gait kinematics.Nature protocols · 2018Article
- Augmenting intracortical brain-machine interface with neurally driven error detectors.Journal of neural engineering · 2017Article
- A brain-spine interface alleviating gait deficits after spinal cord injury in primates.Nature · 2016Article
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- Virtual typing by people with tetraplegia using a self-calibrating intracortical brain-computer interface.Science translational medicine · 2015Article
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- Error-related potentials during continuous feedback: using EEG to detect errors of different type and severity.Frontiers in human neuroscience · 2015Article
- Demonstration of a semi-autonomous hybrid brain-machine interface using human intracranial EEG, eye tracking, and computer vision to control a robotic upper limb prosthetic.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2014Article
- Intention estimation in brain-machine interfaces.Journal of neural engineering · 2014Article
- Low-latency multi-threaded processing of neuronal signals for brain-computer interfaces.Frontiers in neuroengineering · 2014Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBrain-machine interfaces (BMIs) can translate the neuronal activity underlying a user's movement intention into movements of an artificial effector. In spite of continuous improvements, errors in movement decoding are still a major problem of current BMI systems. If the difference between the decoded and intended movements becomes noticeable, it may lead to an execution error. Outcome errors, where subjects fail to reach a certain movement goal, are also present during online BMI operation. Detecting such errors can be beneficial for BMI operation: (i) errors can be corrected online after being detected and (ii) adaptive BMI decoding algorithm can be updated to make fewer errors in the future. METHODOLOGY/PRINCIPAL
findingsHere, we show that error events can be detected from human electrocorticography (ECoG) during a continuous task with high precision, given a temporal tolerance of 300-400 milliseconds. We quantified the error detection accuracy and showed that, using only a small subset of 2×2 ECoG electrodes, 82% of detection information for outcome error and 74% of detection information for execution error available from all ECoG electrodes could be retained. CONCLUSIONS/SIGNIFICANCE: The error detection method presented here could be used to correct errors made during BMI operation or to adapt a BMI algorithm to make fewer errors in the future. Furthermore, our results indicate that smaller ECoG implant could be used for error detection. Reducing the size of an ECoG electrode implant used for BMI decoding and error detection could significantly reduce the medical risk of implantation.
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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.