Evidence map›Paper›PMID 33784612›Full record

ArticleIEEE transactions on bio-medical engineering2021

Home Use of a Percutaneous Wireless Intracortical Brain-Computer Interface by Individuals With Tetraplegia.

John D Simeral, Thomas Hosman, Jad Saab, Sharlene N Flesher, Marco Vilela, Brian Franco, Jessica N Kelemen, David M Brandman, John G Ciancibello, Paymon G Rezaii and 6 more

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2021. 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 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
14.6field-weighted citation impact, top 1% of its field
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.

NCT00912041 narecruitingnot on this map

BrainGate2: Feasibility Study of an Intracortical Neural Interface System for Persons With Tetraplegia

TypeinterventionalSponsorLeigh R. Hochberg, MD, PhD.Ran2009 to 2038Enrolled27ConditionsTetraplegia, Spinal Cord Injuries, Amyotrophic Lateral Sclerosis, Brain Stem InfarctionsArmsPlacement of the BrainGate2 sensor(s) into the motor-related cortex
3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 157 citations in OpenAlex.

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  7. Full-Stack Architectures for Intelligent Brain-Computer Interfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
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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

16 authors at 1 institution in 1 country.

John D Simeral
Thomas Hosman
Jad Saab
Sharlene N Flesher
Marco Vilela
Brian Franco
Jessica N Kelemen
David M Brandman
John G Ciancibello
Paymon G Rezaii
Emad N Eskandar
David M Rosler
Krishna V Shenoy
Jaimie M Henderson
Arto V Nurmikko
Leigh R Hochberg
Allen Institute for Brain Science · US

Funding

Engaging new cognitive and motor signals to improve communication prosthesesR01DC014034 · NIDCD · STANFORD UNIVERSITY · PI JAIMIE M HENDERSON · 2015 to 2026
$8.2M
Restoring Communication with an Intracortical Neural Interface SystemR01DC009899 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI HOCHBERG, LEIGH R · 2009 to 2017
$7.0M
Implantable Microsystems for Human NeuroprosthesisR01EB007401 · NIBIB · BROWN UNIVERSITY · PI DONOGHUE, JOHN P · 2007 to 2011
$6.4M
High-Bandwidth Wireless Interfaces for Continuous Human Intracortical RecordingUH2NS095548 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI HOCHBERG, LEIGH R, NURMIKKO, ARTO · 2015 to 2019
$3.7M
VA RR&D Center for Neurorestoration and NeurotechnologyI50RX002864 · VA · PROVIDENCE VA MEDICAL CENTER · PI BENJAMIN D GREENBERG, LEIGH R HOCHBERG · 2018 to 2026
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Deployment of a Mobile Broadband BCII01RX002827 · VA · PROVIDENCE VA MEDICAL CENTER · PI SIMERAL, JOHN DAVID · 2018 to 2023
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BrainGate: Robust Neural Decoding for Veterans with ALSI01RX002295 · VA · PROVIDENCE VA MEDICAL CENTER · PI HOCHBERG, LEIGH R · 2017 to 2025
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Mobile Signal Processing System for Broadband Neural DecodingI01RX001155 · VA · PROVIDENCE VA MEDICAL CENTER · PI SIMERAL, JOHN DAVID · 2014 to 2018
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Howard Hughes Medical InstituteNIBIB NIH HHS R01 EB007401NIDCD NIH HHS R01 DC009899NIDCD NIH HHS R01 DC014034NINDS NIH HHS UH2 NS095548RRD VA B6453-RRRD VA I01 RX001155RRD VA I01 RX002295RRD VA I01 RX002827RRD VA I50 RX002864
6 · The paper itself

Abstract

objectiveIndividuals with neurological disease or injury such as amyotrophic lateral sclerosis, spinal cord injury or stroke may become tetraplegic, unable to speak or even locked-in. For people with these conditions, current assistive technologies are often ineffective. Brain-computer interfaces are being developed to enhance independence and restore communication in the absence of physical movement. Over the past decade, individuals with tetraplegia have achieved rapid on-screen typing and point-and-click control of tablet apps using intracortical brain-computer interfaces (iBCIs) that decode intended arm and hand movements from neural signals recorded by implanted microelectrode arrays. However, cables used to convey neural signals from the brain tether participants to amplifiers and decoding computers and require expert oversight, severely limiting when and where iBCIs could be available for use. Here, we demonstrate the first human use of a wireless broadband iBCI.

methodsBased on a prototype system previously used in pre-clinical research, we replaced the external cables of a 192-electrode iBCI with wireless transmitters and achieved high-resolution recording and decoding of broadband field potentials and spiking activity from people with paralysis. Two participants in an ongoing pilot clinical trial completed on-screen item selection tasks to assess iBCI-enabled cursor control.

resultsCommunication bitrates were equivalent between cabled and wireless configurations. Participants also used the wireless iBCI to control a standard commercial tablet computer to browse the web and use several mobile applications. Within-day comparison of cabled and wireless interfaces evaluated bit error rate, packet loss, and the recovery of spike rates and spike waveforms from the recorded neural signals. In a representative use case, the wireless system recorded intracortical signals from two arrays in one participant continuously through a 24-hour period at home. SIGNIFICANCE: Wireless multi-electrode recording of broadband neural signals over extended periods introduces a valuable tool for human neuroscience research and is an important step toward practical deployment of iBCI technology for independent use by individuals with paralysis. On-demand access to high-performance iBCI technology in the home promises to enhance independence and restore communication and mobility for individuals with severe motor impairment.

Indexed as

Brain-Computer InterfacesBrainHandHumansMicroelectrodesQuadriplegia

Identifiers

PMID33784612
PMCPMC8218873
OpenAlexW3144365080

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.