Evidence map›Paper›PMID 42124665›Full record

ArticlebioRxiv : the preprint server for biology2026

A modular, high-bandwidth, bidirectional implantable device for neural interrogation.

Radu Darie, Samuel R Parker, Jonathan S Calvert, Ekta Tiwari, Naser Abdelrahman, Sohail Syed, Elias Shaaya, Jared S Fridley, Mark W Merlo, Ian Halpern and 1 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

11 authors.

Radu DarieSchool of Engineering, Brown University, Providence, RI, USA.ORCID 0000-0002-4630-1664
Samuel R ParkerSchool of Engineering, Brown University, Providence, RI, USA.ORCID 0000-0001-9552-3354
Jonathan S CalvertSchool of Engineering, Brown University, Providence, RI, USA.ORCID 0000-0001-7197-9082
Ekta TiwariSchool of Engineering, Brown University, Providence, RI, USA.
Naser AbdelrahmanModular Bionics, Inc., Berkeley, CA, USA.
Sohail SyedDepartment of Neurosurgery, Warren Alpert Medical School of Brown University and Rhode Island Hospital, Providence, RI, USA.
Elias ShaayaDepartment of Neurosurgery, Warren Alpert Medical School of Brown University and Rhode Island Hospital, Providence, RI, USA.ORCID 0000-0002-2243-7954
Jared S FridleyDepartment of Neurosurgery, Warren Alpert Medical School of Brown University and Rhode Island Hospital, Providence, RI, USA.ORCID 0009-0003-7054-5743
Mark W MerloModular Bionics, Inc., Berkeley, CA, USA.
Ian HalpernModular Bionics, Inc., Berkeley, CA, USA.
David A BortonSchool of Engineering, Brown University, Providence, RI, USA.ORCID 0000-0003-0710-3005

Funding

Training Program in Recovery and Restoration of CNS health and functionT32NS100663 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI LEIGH R HOCHBERG, JONATHAN ROSAND · 2017 to 2026
$2.5M
Brain Science Compute ClusterS10OD025181 · OD · BROWN UNIVERSITY · PI SANES, JEROME N · 2019 to 2019
$600k
NIH HHS S10 OD025181NINDS NIH HHS T32 NS100663RRD VA I01 RX002835
6 · The paper itself

Abstract

Modern neuroelectronic interfaces have shown great potential to diagnose conditions, address neurological dysfunction, and advance neuroscientific knowledge. However, neural interface systems today require tethered connections that restrict mobility, prevent testing across ecological contexts, and inhibit clinical translation to at-home use. Fully implantable commercial systems have previously been developed, but exhibit significant constraints, including a bulky design, limited modularity, low bandwidth, or unidirectional communication (e.g. deep brain stimulation systems, DBS; spinal cord stimulation systems, SCS). Here, we have developed the Modular Bionic Interface (MBI), a system composed of a fully implantable device and a worn unit for high-bandwidth, bidirectional interfacing with the nervous system. The MBI can record high fidelity electrophysiological signals and deliver spatiotemporally modulated electrical stimulation for clinical and research purposes through flexible interaction with third party implantable devices. We performed benchtop evaluation to validate the recording and stimulation capabilities of the MBI across a diverse range of inputs and outputs. We then evaluated the MBI system

Identifiers

PMID42124665
PMCPMC13160039

What OpenQuestion holds

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LicenceCC BY
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.