Evidence map›Paper›PMID 37476355›Full record

ArticleMRS bulletin2023

Electrochemical and electrophysiological considerations for clinical high channel count neural interfaces.

Ritwik Vatsyayan, Jihwan Lee, Andrew M Bourhis, Youngbin Tchoe, Daniel R Cleary, Karen J Tonsfeldt, Keundong Lee, Rhea Montgomery-Walsh, Angelique C Paulk, Hoi Sang U and 2 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in MRS bulletin, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. A Thin Film Transistor Backplane for Scalable Chronic Neural Interfaces.bioRxiv : the preprint server for biology · 2026
    Article
  3. Full-Stack Architectures for Intelligent Brain-Computer Interfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
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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

12 authors at 3 institutions in 1 country.

Ritwik VatsyayanIntegrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, USA.
Jihwan LeeIntegrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, USA.
Andrew M BourhisIntegrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, USA.
Youngbin TchoeIntegrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, USA.
Daniel R ClearyIntegrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, USA; Department of Neurological Surgery, School of Medicine, Oregon Health & Science University, Portland, USA.
Karen J TonsfeldtIntegrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, USA; Department of Obstetrics, Gynecology, and Reproductive Sciences, Center for Reproductive Science and Medicine, University of California, San Diego, San Diego, USA.
Keundong LeeIntegrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, USA.
Rhea Montgomery-WalshIntegrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, USA; Department of Bioengineering, University of California, San Diego, San Diego, USA.
Angelique C PaulkDepartment of Neurology, Harvard Medical School, Boston, USA; Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, USA.
Hoi Sang UIntegrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, USA.
Sydney S CashDepartment of Neurology, Harvard Medical School, Boston, USA; Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, USA.
Shadi A DayehIntegrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, USA; Department of Bioengineering, University of California, San Diego, San Diego, USA.ORCID 0000-0002-1756-1774
University of California San Diego · USUniversity of San Diego · USHarvard University · US

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
Integrated Biophysical and Neural Model of Electrical Stimulation EffectsR01NS109553 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BAZHENOV, MAKSIM V, HALGREN, ERIC · 2019 to 2023
$4.4M
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
Functional Mapping of the Suprachiasmatic NucleusK99NS119291 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI TONSFELDT, KAREN JILL · 2022 to 2023
$296k
High-density microgrid development for human neural interface devicesF32MH120886 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CLEARY, DANIEL R · 2019 to 2019
$73k
NIBIB NIH HHS DP2 EB029757NIDA NIH HHS R01 DA050159NIMH NIH HHS F32 MH120886NINDS NIH HHS K99 NS119291NINDS NIH HHS R01 NS109553NINDS NIH HHS R01 NS123655NINDS NIH HHS UG3 NS123723
6 · The paper itself

Abstract

Electrophysiological recording and stimulation are the gold standard for functional mapping during surgical and therapeutic interventions as well as capturing cellular activity in the intact human brain. A critical component probing human brain activity is the interface material at the electrode contact that electrochemically transduces brain signals to and from free charge carriers in the measurement system. Here, we summarize state-of-the-art electrode array systems in the context of translation for use in recording and stimulating human brain activity. We leverage parametric studies with multiple electrode materials to shed light on the varied levels of suitability to enable high signal-to-noise electrophysiological recordings as well as safe electrophysiological stimulation delivery. We discuss the effects of electrode scaling for recording and stimulation in pursuit of high spatial resolution, channel count electrode interfaces, delineating the electrode-tissue circuit components that dictate the electrode performance. Finally, we summarize recent efforts in the connectorization and packaging for high channel count electrode arrays and provide a brief account of efforts toward wireless neuronal monitoring systems.

Identifiers

PMID37476355
PMCPMC10357958
OpenAlexW4378905435

What OpenQuestion holds

Textmetadata
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.