ArticleeNeuro
The Neural Representation of Force across Grasp Types in Motor Cortex of Humans with Tetraplegia.
Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00912041 (BrainGate2), which is not on this map. Cited by 9 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.
BrainGate2: Feasibility Study of an Intracortical Neural Interface System for Persons With Tetraplegia
Who cites it
9 citing papers in PubMed, 20 citations in OpenAlex.
- Distinct Neural Modes Carry Information About Attempted Grasp Timing and Force in the Sensorimotor Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Overlap in neural representations of coordinated wrist and finger movements in human motor cortex.bioRxiv : the preprint server for biology · 2026Article
- Evolution of object identity information in sensorimotor cortex throughout grasp.Nature communications · 2026Article
- Multi-gesture drag-and-drop decoding in a 2D iBCI control task.Journal of neural engineering · 2025Article
- Article
- Overcoming failure: improving acceptance and success of implanted neural interfaces.Bioelectronic medicine · 2025Review
- Unsupervised, piecewise linear decoding enables an accurate prediction of muscle activity in a multi-task brain computer interface.Journal of neural engineering · 2025Article
- Generalizable cursor click decoding using grasp-related neural transients.Journal of neural engineering · 2021Article
- Disentangling human grasping type from the object's intrinsic properties using low-frequency EEG signals.Neuroimage. Reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors at 7 institutions in 1 country.
Funding
Abstract
Intracortical brain-computer interfaces (iBCIs) have the potential to restore hand grasping and object interaction to individuals with tetraplegia. Optimal grasping and object interaction require simultaneous production of both force and grasp outputs. However, since overlapping neural populations are modulated by both parameters, grasp type could affect how well forces are decoded from motor cortex in a closed-loop force iBCI. Therefore, this work quantified the neural representation and offline decoding performance of discrete hand grasps and force levels in two human participants with tetraplegia. Participants attempted to produce three discrete forces (light, medium, hard) using up to five hand grasp configurations. A two-way Welch ANOVA was implemented on multiunit neural features to assess their modulation to
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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.