Evidence map›Paper›PMID 41039113›Full record

ArticleNature biomedical engineering2026

Minimally invasive implantation of scalable high-density cortical microelectrode arrays for multimodal neural decoding and stimulation.

Mark Hettick, Elton Ho, Adam J Poole, Manuel Monge, Demetrios Papageorgiou, Kazutaka Takahashi, Morgan LaMarca, Daniel Trietsch, Kyle Reed, Mark Murphy and 12 more

Abstract read
In one paragraph

Article in Nature biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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

22 authors.

Mark Hettick *Precision Neuroscience Corporation, New York, NY, USA.
Elton Ho *Precision Neuroscience Corporation, New York, NY, USA.ORCID http://orcid.org/0000-0002-4645-6156
Adam J PoolePrecision Neuroscience Corporation, New York, NY, USA.
Manuel MongePrecision Neuroscience Corporation, New York, NY, USA.
Demetrios PapageorgiouPrecision Neuroscience Corporation, New York, NY, USA.
Kazutaka TakahashiPrecision Neuroscience Corporation, New York, NY, USA.ORCID http://orcid.org/0000-0001-7679-0430
Morgan LaMarcaPrecision Neuroscience Corporation, New York, NY, USA.
Daniel TrietschPrecision Neuroscience Corporation, New York, NY, USA.
Kyle ReedPrecision Neuroscience Corporation, New York, NY, USA.
Mark MurphyPrecision Neuroscience Corporation, New York, NY, USA.
Stephanie RiderPrecision Neuroscience Corporation, New York, NY, USA.ORCID http://orcid.org/0009-0001-3804-8304
Kate R GelmanPrecision Neuroscience Corporation, New York, NY, USA.ORCID http://orcid.org/0009-0008-9296-0581
Yoon Woo ByunPrecision Neuroscience Corporation, New York, NY, USA.
Joshua S MillerPrecision Neuroscience Corporation, New York, NY, USA.
Timothy HansonPrecision Neuroscience Corporation, New York, NY, USA.ORCID http://orcid.org/0000-0002-6911-0094
Vanessa TolosaPrecision Neuroscience Corporation, New York, NY, USA.
Sang-Ho LeeNaval Medical Research Command, Silver Spring, MD, USA.
Sanjay BhatiaRockefeller Neuroscience Institute and the Department of Neurosurgery, West Virginia University, Morgantown, WV, USA.
Peter E KonradRockefeller Neuroscience Institute and the Department of Neurosurgery, West Virginia University, Morgantown, WV, USA.ORCID http://orcid.org/0000-0003-4223-0819
Michael MagerPrecision Neuroscience Corporation, New York, NY, USA.
Craig H MermelPrecision Neuroscience Corporation, New York, NY, USA.ORCID http://orcid.org/0000-0002-0816-3395
Benjamin I RapoportPrecision Neuroscience Corporation, New York, NY, USA. ben@precisionneuro.io.ORCID http://orcid.org/0000-0002-0049-6419

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-bandwidth brain-computer interfaces rely on invasive surgical procedures or brain-penetrating electrodes. Here we describe a cortical 1,024-channel thin-film microelectrode array and we demonstrate its minimally invasive surgical delivery that avoids craniotomy in porcine models and cadavers. We show recording and stimulation from the same electrodes to large portions of the cortical surface, and the reversibility of delivering the implants to multiple functional regions of the brain without damaging the cortical surface. We evaluate the performance of the interface for high-density neural recording and visualizing cortical surface activity at spatial and temporal resolutions and total spatial extents. We demonstrate accurate neural decoding of somatosensory, visual and volitional walking activity, and achieve focal neuromodulation through cortical stimulation at sub-millimetre scales. We report the feasibility of intraoperative use of the device in a five-patient pilot clinical study with anaesthetized and awake neurosurgical patients, characterizing the spatial scales at which sensorimotor activity and speech are represented at the cortical surface. The presented neural interface demonstrates the highly scalable nature of micro-electrocorticography and its utility for next-generation brain-computer interfaces.

Indexed as

Brain-Computer InterfacesCerebral CortexMinimally Invasive Surgical ProceduresAnimalsBrainElectrocorticographyElectrodes, ImplantedHumansMicroelectrodesSwine

Identifiers

PMID41039113
PMCPMC13278958

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.