Evidence map›Paper›PMID 37874692›Full record

ArticleJournal of neurosurgery2024

Intraoperative application and early experience with novel high-resolution, high-channel-count thin-film electrodes for human microelectrocorticography.

Hao Tan, Angelique C Paulk, Brittany Stedelin, Daniel R Cleary, Caleb Nerison, Youngbin Tchoe, Erik C Brown, Andrew Bourhis, Samantha Russman, Jihwan Lee and 15 more

Open access · greenAbstract read
In one paragraph

Article in Journal of neurosurgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 23% 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.

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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. A Thin Film Transistor Backplane for Scalable Chronic Neural Interfaces.bioRxiv : the preprint server for biology · 2026
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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

25 authors at 6 institutions in 2 countries.

Hao Tan1Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon.
Angelique C Paulk2Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts.
Brittany Stedelin1Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon.
Daniel R Cleary1Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon.
Caleb Nerison1Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon.
Youngbin Tchoe5Electrical and Computer Engineering, and.
Erik C Brown1Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon.
Andrew Bourhis5Electrical and Computer Engineering, and.
Samantha Russman5Electrical and Computer Engineering, and.
Jihwan Lee5Electrical and Computer Engineering, and.
Karen J Tonsfeldt5Electrical and Computer Engineering, and.
Jimmy C Yang2Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts.
Hongseok Oh5Electrical and Computer Engineering, and.
Yun Goo Ro5Electrical and Computer Engineering, and.
Keundong Lee5Electrical and Computer Engineering, and.
Mehran Ganji5Electrical and Computer Engineering, and.
Ian Galton5Electrical and Computer Engineering, and.
Dominic Siler1Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon.
Seunggu Jude Han12Department of Neurological Surgery, Stanford University, Palo Alto, California.
Kelly L Collins1Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon.
Sharona Ben-HaimDepartments of4Neurological Surgery.
Eric Halgren13Neurology, University of California, San Diego, California.
Sydney S Cash2Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts.
Shadi Dayeh5Electrical and Computer Engineering, and.
Ahmed M Raslan1Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon.
Oregon Health & Science University · USHarvard University · USNeurological Surgery · USSoongsil University · KRUniversity of California San Diego · USUlsan National Institute of Science and Technology · KR

Funding

Thin, High-Density, High-Performance, Depth and Surface Microelectrodes for Diagnosis and Treatment of EpilepsyUG3NS123723 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DAYEH, SHADI · 2021 to 2025
$9.5M
Bringing Light to Functional Mapping in Resective NeurosurgeryDP2EB029757 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DAYEH, SHADI · 2019 to 2019
$2.4M
Integration of High Definition Display Technologies with Platinum Nanorod Microelectrodes for Large Scale in-vivo Recording and StimulationR01NS123655 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DAYEH, SHADI · 2021 to 2021
$2.0M
Effects of intrinsic and drug-induced neuromodulation on functional brain imagingR01DA050159 · NIDA · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI DEVOR, ANNA · 2020 to 2024
$1.9M
NIBIB NIH HHS DP2 EB029757NIDA NIH HHS R01 DA050159NINDS NIH HHS R01 NS123655NINDS NIH HHS UG3 NS123723
6 · The paper itself

Abstract

objectiveThe study objective was to evaluate intraoperative experience with newly developed high-spatial-resolution microelectrode grids composed of poly(3,4-ethylenedioxythiophene) with polystyrene sulfonate (PEDOT:PSS), and those composed of platinum nanorods (PtNRs).

methodsA cohort of patients who underwent craniotomy for pathological tissue resection and who had high-spatial-resolution microelectrode grids placed intraoperatively were evaluated. Patient demographic and baseline clinical variables as well as relevant microelectrode grid characteristic data were collected. The primary and secondary outcome measures of interest were successful microelectrode grid utilization with usable resting-state or task-related data, and grid-related adverse intraoperative events and/or grid dysfunction.

resultsIncluded in the analysis were 89 cases of patients who underwent a craniotomy for resection of neoplasms (n = 58) or epileptogenic tissue (n = 31). These cases accounted for 94 grids: 58 PEDOT:PSS and 36 PtNR grids. Of these 94 grids, 86 were functional and used successfully to obtain cortical recordings from 82 patients. The mean cortical grid recording duration was 15.3 ± 1.15 minutes. Most recordings in patients were obtained during experimental tasks (n = 52, 58.4%), involving language and sensorimotor testing paradigms, or were obtained passively during resting state (n = 32, 36.0%). There were no intraoperative adverse events related to grid placement. However, there were instances of PtNR grid dysfunction (n = 8) related to damage incurred by suboptimal preoperative sterilization (n = 7) and improper handling (n = 1); intraoperative recordings were not performed. Vaporized peroxide sterilization was the most optimal sterilization method for PtNR grids, providing a significantly greater number of usable channels poststerilization than did steam-based sterilization techniques (median 905.0 [IQR 650.8-935.5] vs 356.0 [IQR 18.0-597.8], p = 0.0031).

conclusionsHigh-spatial-resolution microelectrode grids can be readily incorporated into appropriately selected craniotomy cases for clinical and research purposes. Grids are reliable when preoperative handling and sterilization considerations are accounted for. Future investigations should compare the diagnostic utility of these high-resolution grids to commercially available counterparts and assess whether diagnostic discrepancies relate to clinical outcomes.

Indexed as

Computer SystemsCraniotomyHumansLanguageMicroelectrodesPeroxidesPeroxidescorticalelectrocorticographyfunctional neurosurgerygamma bandhigh resolutionintraoperativemappingpassive

Identifiers

PMID37874692
PMCPMC11103266
OpenAlexW4387223124

What OpenQuestion holds

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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.