ArticleIEEE transactions on bio-medical engineering2012
Prediction of imagined single-joint movements in a person with high-level tetraplegia.
Article in IEEE transactions on bio-medical engineering, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed, 44 citations in OpenAlex.
- Volitional control of single-electrode high gamma local field potentials by people with paralysis.Journal of neurophysiology · 2019Trial
- Stable long-term BCI-enabled communication in ALS and locked-in syndrome using LFP signals.Journal of neurophysiology · 2018Trial
- Restoration of reaching and grasping movements through brain-controlled muscle stimulation in a person with tetraplegia: a proof-of-concept demonstration.Lancet (London, England) · 2017Trial
- Overlap in neural representations of coordinated wrist and finger movements in human motor cortex.bioRxiv : the preprint server for biology · 2026Article
- Reconnecting the Hand and Arm to the Brain: Efficacy of Neural Interfaces for Sensorimotor Restoration After Tetraplegia.Neurosurgery · 2024Article
- The science and engineering behind sensitized brain-controlled bionic hands.Physiological reviews · 2022Review
- Encoding of kinetic and kinematic movement parameters in the sensorimotor cortex: A Brain-Computer Interface perspective.The European journal of neuroscience · 2019Review
- Hemicraniectomy in Traumatic Brain Injury: A Noninvasive Platform to Investigate High Gamma Activity for Brain Machine Interfaces.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2019Article
- Design and testing of a 96-channel neural interface module for the Networked Neuroprosthesis system.Bioelectronic medicine · 2019Article
- Data-Driven Transducer Design and Identification for Internally-Paced Motor Brain Computer Interfaces: A Review.Frontiers in neuroscience · 2018Review
- Review: Human Intracortical Recording and Neural Decoding for Brain-Computer Interfaces.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2017Review
- Workshops of the Sixth International Brain-Computer Interface Meeting: brain-computer interfaces past, present, and future.Brain computer interfaces (Abingdon, England) · 2017Article
- The Evolution of Neuroprosthetic Interfaces.Critical reviews in biomedical engineering · 2016Review
- Review
- Modulation depth estimation and variable selection in state-space models for neural interfaces.IEEE transactions on bio-medical engineering · 2015Article
- Advancing brain-machine interfaces: moving beyond linear state space models.Frontiers in systems neuroscience · 2015Article
- Current Challenges Facing the Translation of Brain Computer Interfaces from Preclinical Trials to Use in Human Patients.Frontiers in cellular neuroscience · 2015Review
- Motor imagery reinforces brain compensation of reach-to-grasp movement after cervical spinal cord injury.Frontiers in behavioral neuroscience · 2015Review
- Brain-computer interfaces using sensorimotor rhythms: current state and future perspectives.IEEE transactions on bio-medical engineering · 2014Review
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
Abstract
Cortical neuroprostheses for movement restoration require developing models for relating neural activity to desired movement. Previous studies have focused on correlating single-unit activities (SUA) in primary motor cortex to volitional arm movements in able-bodied primates. The extent of the cortical information relevant to arm movements remaining in severely paralyzed individuals is largely unknown. We record intracortical signals using a microelectrode array chronically implanted in the precentral gyrus of a person with tetraplegia, and estimate positions of imagined single-joint arm movements. Using visually guided motor imagery, the participant imagined performing eight distinct single-joint arm movements, while SUA, multispike trains (MSP), multiunit activity, and local field potential time (LFPrms), and frequency signals (LFPstft) were recorded. Using linear system identification, imagined joint trajectories were estimated with 20-60% variance explained, with wrist flexion/extension predicted the best and pronation/supination the poorest. Statistically, decoding of MSP and LFPstft yielded estimates that equaled those of SUA. Including multiple signal types in a decoder increased prediction accuracy in all cases. We conclude that signals recorded from a single restricted region of the precentral gyrus in this person with tetraplegia contained useful information regarding the intended movements of upper extremity joints.
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What OpenQuestion holds
Registered trials
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.