Evidence map›Paper›PMID 40376684›Full record

ArticleIEEE journal of solid-state circuits2025

A 2.5-20 kSps in-pixel direct digitization ECoG front-end with sub-millisecond stimulation artifact recovery.

Aditi Jain, Eric Fogleman, Paul Botros, Ritwik Vatsyayan, Asish Koruprolu, Corentin Pochet, Andrew Bourhis, Zhaoyi Liu, Suhas Chethan, Hanh-Phuc Le and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE journal of solid-state circuits, 2025. 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

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

13 authors.

Aditi JainDepartment of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093 USA.
Eric FoglemanDepartment of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093 USA.
Paul BotrosDepartment of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093 USA.
Ritwik VatsyayanDepartment of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093 USA.
Asish KoruproluDepartment of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093 USA.
Corentin PochetDepartment of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093 USA.
Andrew BourhisDepartment of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093 USA.
Zhaoyi LiuDepartment of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093 USA.
Suhas ChethanDepartment of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093 USA.
Hanh-Phuc LeDepartment of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093 USA.
Ian GaltonDepartment of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093 USA.
Shadi A DayehDepartment of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093 USA.
Drew A HallDepartment of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093 USA.

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
NINDS NIH HHS UG3 NS123723
6 · The paper itself

Abstract

Neural stimulation is used routinely to diagnose and treat neurological disorders. However, the stimulation artifacts are problematic for closed-loop neuromodulation therapy, which dynamically adjusts the electrical stimulation parameters based on real-time feedback from recording neural activity, because they can cause saturation or prolonged recovery times in traditional recording front-ends. This paper presents a per-pixel 2

Indexed as

artifact toleranceclosed-loopDelta-sigma modulationneural recordingneuromodulationrecovery timestimulation artifactsvoltage-controlled oscillator (VCO)

Identifiers

PMID40376684
PMCPMC12077843

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.