ArticleSensors (Basel, Switzerland)2016
A Wireless 32-Channel Implantable Bidirectional Brain Machine Interface.
Article in Sensors (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 36 citations in OpenAlex.
- A robust, real‑time telemetry protocol for miniaturized neural implants using off‑the‑shelf hardware.Bioelectronic medicine · 2026Article
- A Wireless Cortical Surface Implant for Diagnosing and Alleviating Parkinson's Disease Symptoms in Freely Moving Animals.Advanced healthcare materials · 2025Article
- Home-Cage Training for Non-Human Primates: An Opportunity to Reduce Stress and Study Natural Behavior in Neurophysiology Experiments.Animals : an open access journal from MDPI · 2025Review
- Article
- Wireless closed-loop deep brain stimulation using microelectrode array probes.Journal of Zhejiang University. Science. B · 2024Review
- Low-Power Lossless Data Compression for Wireless Brain Electrophysiology.Sensors (Basel, Switzerland) · 2022Article
- Commercial Off-the-Shelf Components (COTS) in Realizing Miniature Implantable Wireless Medical Devices: A Review.Sensors (Basel, Switzerland) · 2022Review
- Autonomous cage-side system for remote training of non-human primates.Journal of neuroscience methods · 2021Article
- Neurochip3: An Autonomous Multichannel Bidirectional Brain-Computer Interface for Closed-Loop Activity-Dependent Stimulation.Frontiers in neuroscience · 2021Article
- A bird's-eye view of brain activity in socially interacting mice through mobile edge computing (MEC).Science advances · 2020Article
- Article
- Implantable Neural Probes for Brain-Machine Interfaces - Current Developments and Future Prospects.Experimental neurobiology · 2018Review
- An Implantable Wireless Neural Interface System for Simultaneous Recording and Stimulation of Peripheral Nerve with a Single Cuff Electrode.Sensors (Basel, Switzerland) · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
All neural information systems (NIS) rely on sensing neural activity to supply commands and control signals for computers, machines and a variety of prosthetic devices. Invasive systems achieve a high signal-to-noise ratio (SNR) by eliminating the volume conduction problems caused by tissue and bone. An implantable brain machine interface (BMI) using intracortical electrodes provides excellent detection of a broad range of frequency oscillatory activities through the placement of a sensor in direct contact with cortex. This paper introduces a compact-sized implantable wireless 32-channel bidirectional brain machine interface (BBMI) to be used with freely-moving primates. The system is designed to monitor brain sensorimotor rhythms and present current stimuli with a configurable duration, frequency and amplitude in real time to the brain based on the brain activity report. The battery is charged via a novel ultrasonic wireless power delivery module developed for efficient delivery of power into a deeply-implanted system. The system was successfully tested through bench tests and in vivo tests on a behaving primate to record the local field potential (LFP) oscillation and stimulate the target area at the same time.
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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.