Evidence map›Paper›PMID 42582168›Full record

ArticleFrontiers in neuroscience2026

A method for efficient, rapid, and minimally invasive implantation of individual non-functional motes with penetrating subcellular-diameter carbon fiber electrodes into rat cortex.

Joseph G Letner, Jordan L W Lam, Miranda G Copenhaver, Michael Barrow, Paras R Patel, Julianna M Richie, Jungho Lee, Hun-Seok Kim, Dawen Cai, James D Weiland and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroscience, 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

13 authors.

Joseph G LetnerDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States.
Jordan L W LamDepartment of Neurosurgery, University of Michigan, Ann Arbor, MI, United States.
Miranda G CopenhaverDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States.
Michael BarrowDepartment of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States.
Paras R PatelDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States.
Julianna M RichieDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States.
Jungho LeeDepartment of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States.
Hun-Seok KimDepartment of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States.
Dawen CaiDepartment of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States.
James D WeilandDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States.
Jamie PhillipsDepartment of Electrical and Computer Engineering, University of Delaware, Newark, DE, United States.
David BlaauwDepartment of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States.
Cynthia A ChestekDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States.

Funding

Optimization and distribution of high density cellular scale carbon and silicon arraysUF1NS107659 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHESTEK, CYNTHIA ANNE · 2018 to 2018
$3.4M
Optical neural motes to enable high density recording through intact dura in a nonhuman primateRF1NS128667 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BLAAUW, DAVID, CHESTEK, CYNTHIA ANNE · 2022 to 2022
$2.6M
A multimodal platform to bridge the experimental gap between behavioral, neuronal, and molecular studiesRF1MH120005 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CAI, DAWEN, CUI, MENG · 2019 to 2019
$2.3M
Intraretinal stimulation for high acuity artificial visionR01EY035008 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI James D Weiland · 2024 to 2026
$1.7M
A novel approach to analyzing functional connectomics and combinatorial control in a tractable small-brain closed-loop systemR01NS118606 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BYRNE, JOHN H, CHESTEK, CYNTHIA ANNE · 2023 to 2024
$1.7M
NEI NIH HHS R01 EY035008NIMH NIH HHS RF1 MH120005NINDS NIH HHS R01 NS118606NINDS NIH HHS RF1 NS128667NINDS NIH HHS UF1 NS107659
6 · The paper itself

Abstract

Distributed arrays of wireless neural interfacing chips with 1-2 channels each, known as "neural dust," could enhance brain machine interfaces (BMIs) by removing wired connections through the scalp and increasing biocompatibility with their submillimeter size. Although several neural dust designs have emerged, currently reported procedures for implanting them in batches place the chips directly inside the brain, which can damage or displace large numbers of neurons. Therefore, a procedure for safely implanting neural dust in batches such that only ultrasmall microwire elements enter the brain is needed. Here, we demonstrate the feasibility of implanting batches of wireless motes that rest on the cortical surface and reach 1 mm brain depths via penetrating carbon fiber electrodes (6.8-8.4 μm diameter) without employing disruptive insertion shuttles. To simulate their implantation, we assembled over 230 mechanically-equivalent carbon fiber motes and affixed them to insertion tools with polyethylene glycol (PEG), a quickly dissolvable and biocompatible material. Then, we implanted batches into rat cortex

Indexed as

carbon fiberelectrode fabricationimplantationintracortical electrodesneural probes

Identifiers

PMID42582168
PMCPMC13457210

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Registered trials

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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.