ReviewFrontiers in neurorobotics2020
Classifying Intracortical Brain-Machine Interface Signal Disruptions Based on System Performance and Applicable Compensatory Strategies: A Review.
Review in Frontiers in neurorobotics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- From deep brain stimulation to brain-computer interfaces: current progress in implantable neurotechnology.Frontiers in neuroscience · 2026Review
- Individualized brain-computer interface for people with disabilities: a review.Frontiers in human neuroscience · 2026Review
- Multi-omic spatially resolved analysis of the neuroinflammatory response to intracortical microelectrode arrays.Biomaterials · 2026Article
- Quantifying physical degradation alongside recording and stimulation performance of 980 intracortical microelectrodes chronically implanted in three humans for 956-2130 days.Acta biomaterialia · 2025Article
- Quantifying physical degradation alongside recording and stimulation performance of 980 intracortical microelectrodes chronically implanted in three humans for 956-2246 days.medRxiv : the preprint server for health sciences · 2024Article
- In Vivo Characterization of Intracortical Probes with Focused Ion Beam-Etched Nanopatterned Topographies.Micromachines · 2024Article
- An Ultraflexible Electrode Array for Large-Scale Chronic Recording in the Nonhuman Primate Brain.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Emerging Penetrating Neural Electrodes: In Pursuit of Large Scale and Longevity.Annual review of biomedical engineering · 2023Review
- Somatosensory ECoG-based brain-machine interface with electrical stimulation on medial forebrain bundle.Biomedical engineering letters · 2023Article
- Increasing Robustness of Brain-Computer Interfaces Through Automatic Detection and Removal of Corrupted Input Signals.Frontiers in neuroscience · 2022Article
- Longevity and reliability of chronic unit recordings using the Utah, intracortical multi-electrode arrays.Journal of neural engineering · 2021Article
- Explant Analysis of Utah Electrode Arrays Implanted in Human Cortex for Brain-Computer-Interfaces.Frontiers in bioengineering and biotechnology · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain-machine interfaces (BMIs) record and translate neural activity into a control signal for assistive or other devices. Intracortical microelectrode arrays (MEAs) enable high degree-of-freedom BMI control for complex tasks by providing fine-resolution neural recording. However, chronically implanted MEAs are subject to a dynamic
Indexed as
Identifiers
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.