Evidence map›Paper›PMID 25968934›Full record

ReviewNeurobiology of disease2015

Neuroplasticity subserving the operation of brain-machine interfaces.

Karim G Oweiss, Islam S Badreldin

Abstract readReview
In one paragraph

Review in Neurobiology of disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Trial
  2. Review
  3. Natural disease progression vs. DBS-related worsening in essential tremor.medRxiv : the preprint server for health sciences · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Closed-Loop Neuromodulation in Physiological and Translational Research.Cold Spring Harbor perspectives in medicine · 2019
    Review
  9. Brain-computer interfaces for post-stroke motor rehabilitation: a meta-analysis.Annals of clinical and translational neurology · 2018
    Review
  10. Article
  11. Review
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Karim G OweissDepartment of Electrical and Computer Engineering, University of Florida, FL, USA; Department of Biomedical Engineering, University of Florida, FL, USA; Department of Neuroscience, McKnight Brain Institute, University of Florida, FL, USA. Electronic address: koweiss@ufl.edu.
Islam S BadreldinDepartment of Electrical and Computer Engineering, University of Florida, FL, USA.

Funding

A Wireless Multiscale Distributed Interface to the CortexR01NS062031 · NINDS · MICHIGAN STATE UNIVERSITY · PI OWEISS, KARIM G · 2008 to 2011
$2.1M
Optimizing microstimulation to restore lost somatosensationR01NS093909 · NINDS · UNIVERSITY OF FLORIDA · PI OWEISS, KARIM G · 2015 to 2019
$1.5M
NINDS NIH HHS NS062031NINDS NIH HHS R01 NS062031NINDS NIH HHS R01 NS093909
6 · The paper itself

Abstract

Neuroplasticity is key to the operation of brain machine interfaces (BMIs)-a direct communication pathway between the brain and a man-made computing device. Whereas exogenous BMIs that associate volitional control of brain activity with neurofeedback have been shown to induce long lasting plasticity, endogenous BMIs that use prolonged activity-dependent stimulation--and thus may curtail the time scale that governs natural sensorimotor integration loops--have been shown to induce short lasting plasticity. Here we summarize recent findings from studies using both categories of BMIs, and discuss the fundamental principles that may underlie their operation and the longevity of the plasticity they induce. We draw comparison to plasticity mechanisms known to mediate natural sensorimotor skill learning and discuss principles of homeostatic regulation that may constrain endogenous BMI effects in the adult mammalian brain. We propose that BMIs could be designed to facilitate structural and functional plasticity for the purpose of re-organization of target brain regions and directed augmentation of sensorimotor maps, and suggest possible avenues for future work to maximize their efficacy and viability in clinical applications.

Indexed as

Brain-Computer InterfacesModels, NeurologicalNeuronal PlasticityPsychomotor PerformanceAdaptation, PhysiologicalAnimalsBrainHomeostasisHumansLearningMotor SkillsUser-Computer InterfaceALSAmputationBrain machine interfaceNeuroplasticityOscillationsSensorimotor bindingSpinal cord injuryStrokeVolition

Identifiers

PMID25968934
PMCPMC4639466

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.