ArticleNature communications2017
Changes in cortical network connectivity with long-term brain-machine interface exposure after chronic amputation.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- High-throughput synaptic connectivity mapping using in vivo two-photon holographic optogenetics and compressive sensing.Nature neuroscience · 2025Article
- Metaplasticity and continual learning: mechanisms subserving brain computer interface proficiency.Journal of neural engineering · 2025Article
- Compressive sensing of functional connectivity maps from patterned optogenetic stimulation of neuronal ensembles.Patterns (New York, N.Y.) · 2023Article
- Stimulation-mediated reverse engineering of silent neural networks.Journal of neurophysiology · 2023Article
- Noninvasively recorded high-gamma signals improve synchrony of force feedback in a novel neurorehabilitation brain-machine interface for brain injury.Journal of neural engineering · 2022Article
- A kinematic and EMG dataset of online adjustment of reach-to-grasp movements to visual perturbations.Scientific data · 2022Article
- Brain-Machine Interfaces: Powerful Tools for Clinical Treatment and Neuroscientific Investigations.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2019Review
- Toward Functional Restoration of the Central Nervous System: A Review of Translational Neuroscience Principles.Neurosurgery · 2019Review
- Innovations in electrical stimulation harness neural plasticity to restore motor function.Bioelectronics in medicine · 2018Article
- Training in Use of Brain-Machine Interface-Controlled Robotic Hand Improves Accuracy Decoding Two Types of Hand Movements.Frontiers in neuroscience · 2018Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Studies on neural plasticity associated with brain-machine interface (BMI) exposure have primarily documented changes in single neuron activity, and largely in intact subjects. Here, we demonstrate significant changes in ensemble-level functional connectivity among primary motor cortical (MI) neurons of chronically amputated monkeys exposed to control a multiple-degree-of-freedom robot arm. A multi-electrode array was implanted in M1 contralateral or ipsilateral to the amputation in three animals. Two clusters of stably recorded neurons were arbitrarily assigned to control reach and grasp movements, respectively. With exposure, network density increased in a nearly monotonic fashion in the contralateral monkeys, whereas the ipsilateral monkey pruned the existing network before re-forming a denser connectivity. Excitatory connections among neurons within a cluster were denser, whereas inhibitory connections were denser among neurons across the two clusters. These results indicate that cortical network connectivity can be modified with BMI learning, even among neurons that have been chronically de-efferented and de-afferented due to amputation.
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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.