Evidence map›Paper›PMID 38798494›Full record

ArticlebioRxiv : the preprint server for biology2025

Stable, chronic in-vivo recordings from a fully wireless subdural-contained 65,536-electrode brain-computer interface device.

Taesung Jung, Nanyu Zeng, Jason D Fabbri, Guy Eichler, Zhe Li, Erfan Zabeh, Anup Das, Konstantin Willeke, Katie E Wingel, Agrita Dubey and 29 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

39 authors.

Taesung JungDepartment of Electrical Engineering, Columbia University; New York, NY 10027, USA.ORCID 0000-0001-9226-3198
Nanyu ZengDepartment of Electrical Engineering, Columbia University; New York, NY 10027, USA.
Jason D FabbriDepartment of Electrical Engineering, Columbia University; New York, NY 10027, USA.ORCID 0000-0001-5459-4199
Guy EichlerDepartment of Computer Science, Columbia University; New York, NY 10027, USA.ORCID 0000-0003-3793-1872
Zhe LiDepartment of Ophthalmology, Byers Eye Institute, Stanford University; Stanford, CA 94305, USA.
Erfan ZabehDepartment of Biomedical Engineering, Columbia University; New York, NY 10027, USA.ORCID 0000-0002-9312-9617
Anup DasDepartment of Biomedical Engineering, Columbia University; New York, NY 10027, USA.ORCID 0000-0002-8897-7021
Konstantin WillekeDepartment of Ophthalmology, Byers Eye Institute, Stanford University; Stanford, CA 94305, USA.ORCID 0000-0003-4445-6408
Katie E WingelCenter for Neural Science, New York University; New York, NY 10003, USA.ORCID 0000-0003-4006-2284
Agrita DubeyCenter for Neural Science, New York University; New York, NY 10003, USA.ORCID 0000-0002-2239-9177
Rizwan HuqDepartment of Electrical Engineering, Columbia University; New York, NY 10027, USA.ORCID 0000-0002-6708-1904
Mohit SharmaDepartment of Electrical Engineering, Columbia University; New York, NY 10027, USA.
Yaoxing HuDepartment of Electrical Engineering, Columbia University; New York, NY 10027, USA.
Girish RamakrishnanDepartment of Electrical Engineering, Columbia University; New York, NY 10027, USA.
Kevin TienDepartment of Electrical Engineering, Columbia University; New York, NY 10027, USA.ORCID 0000-0001-6619-3894
Paolo MantovaniDepartment of Computer Science, Columbia University; New York, NY 10027, USA.
Abhinav PariharDepartment of Electrical Engineering, Columbia University; New York, NY 10027, USA.ORCID 0000-0001-8203-5888
Heyu YinDepartment of Electrical Engineering, Columbia University; New York, NY 10027, USA.ORCID 0000-0002-6336-7972
Denise OswaltDepartment of Neurosurgery, University of Pennsylvania; Philadelphia PA 19118, USA.ORCID 0000-0001-6260-5636
Alexander MisdorpDepartment of Computer Science, Columbia University; New York, NY 10027, USA.
Ilke UguzDepartment of Electrical Engineering, Columbia University; New York, NY 10027, USA.
Tori ShinnDepartment of Bioengineering, University of Pennsylvania; Philadelphia, PA 19118, USA.
Gabrielle J RodriguezDepartment of Ophthalmology, Byers Eye Institute, Stanford University; Stanford, CA 94305, USA.
Cate NealleyDepartment of Ophthalmology, Byers Eye Institute, Stanford University; Stanford, CA 94305, USA.
Sophia SanbornStanford Bio-X, Stanford University, Stanford University; Stanford, CA 94304, USA.
Ian GonzalesDepartment of Neurological Surgery, Columbia University; New York, NY 10032, USA.
Michael RoukesDepartments of Physics, Applied Physics, and Bioengineering, Caltech; Pasadena, CA 91125, USA.ORCID 0000-0002-2916-6026
Jeffrey KnechtLincoln Laboratory, Massachusetts Institute of Technology; Lexington, MA 02421, USA.
Daniel YoshorDepartment of Neurosurgery, University of Pennsylvania; Philadelphia PA 19118, USA.ORCID 0000-0002-6309-5153
Peter CanollDepartment of Pathology and Cell Biology, Columbia University; New York, NY 10032, USA.ORCID 0000-0002-7001-0226
Eleonora SpinazziDepartment of Neurological Surgery, Columbia University; New York, NY 10032, USA.ORCID 0000-0002-2046-0560
Luca P CarloniDepartment of Computer Science, Columbia University; New York, NY 10027, USA.ORCID 0000-0001-5600-8931
Bijan PesaranCenter for Neural Science, New York University; New York, NY 10003, USA.ORCID 0000-0003-4116-0038
Saumil PatelDepartment of Ophthalmology, Byers Eye Institute, Stanford University; Stanford, CA 94305, USA.
Joshua JacobsDepartment of Biomedical Engineering, Columbia University; New York, NY 10027, USA.ORCID 0000-0003-1807-6882
Brett YoungermanDepartment of Neurological Surgery, Columbia University; New York, NY 10032, USA.ORCID 0000-0002-4792-3190
R James CottonShirley Ryan Ability Labs; Chicago, IL, USA.ORCID 0000-0001-5714-1400
Andreas ToliasDepartment of Ophthalmology, Byers Eye Institute, Stanford University; Stanford, CA 94305, USA.ORCID 0000-0002-4305-6376
Kenneth L ShepardDepartment of Electrical Engineering, Columbia University; New York, NY 10027, USA.ORCID 0000-0003-0665-6775

Funding

A Wireless micro-ECoG Prosthesis for SpeechR01DC019498 · NIDCD · DUKE UNIVERSITY · PI SHEPARD, KENNETH L, SOLZBACHER, FLORIAN · 2021 to 2025
$3.1M
NIDCD NIH HHS R01 DC019498
6 · The paper itself

Abstract

Minimally invasive, high-bandwidth brain-computer-interface (BCI) devices can revolutionize human applications. With orders-of-magnitude improvements in volumetric efficiency over other BCI technologies, we developed a 50-μm-thick, mechanically flexible micro-electrocorticography (μECoG) BCI, integrating a 256×256 array of electrodes, signal processing, data telemetry, and wireless powering on a single complementary metal-oxide-semiconductor (CMOS) substrate containing 65,536 recording channels, from which we can simultaneously record a selectable subset of up to 1024 channels at a given time. Fully implanted below the dura, our chip is wirelessly powered, communicating bi-directionally with an external relay station outside the body. We demonstrated chronic, reliable recordings for up to two weeks in pigs and up to two months in behaving non-human primates from somatosensory, motor, and visual cortices, decoding brain signals at high spatiotemporal resolution.

Identifiers

PMID38798494
PMCPMC11118429

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.