Evidence map›Paper›PMID 39975906›Full record

ArticleResearch square2025

Fast neural population dynamics in primate V1 captured by a genetically-encoded voltage indicator.

Jingyang Zhou, Yuzhi Chen, Matt Whitmire, Pin Kwang Tan, Jimin Wu, Ashok Veeraraghavan, Jacob T Robinson, Wilson Geisler, Vincent A Pieribone, Eyal Seidemann

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in Research square, 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

10 authors.

Jingyang ZhouCenter for Computational Neuroscience, Flatiron Institute, New York, USA.ORCID 0000-0003-1933-8143
Yuzhi ChenCenter for Perceptual Systems, University of Texas Austin, Austin, USA.
Matt WhitmireCenter for Perceptual Systems, University of Texas Austin, Austin, USA.
Pin Kwang TanCenter for Perceptual Systems, University of Texas Austin, Austin, USA.
Jimin WuDepartment of Bioengineering, Rice University, Houston, Texas, USA.
Ashok VeeraraghavanDepartment of Electrical and Computer Engineering, Rice University, Houston, Texas, USA.
Jacob T RobinsonDepartment of Bioengineering, Rice University, Houston, Texas, USA.
Wilson GeislerCenter for Perceptual Systems, University of Texas Austin, Austin, USA.
Vincent A PieriboneThe Jon B. Pierce Laboratory, New Haven, CT, USA.
Eyal SeidemannCenter for Perceptual Systems, University of Texas Austin, Austin, USA.ORCID 0000-0002-4873-3882

Funding

Resource Core 3 - Teaching/Training/Dissemination Core (TTDC)U19NS118284 · NINDS · STANFORD UNIVERSITY · PI LO, MAISIE KY · 2021 to 2025
$18.1M
Linking Neural Population Activity and Visual PerceptionR01EY016454 · NEI · UNIVERSITY OF TEXAS AUSTIN · PI SEIDEMANN, EYAL J · 2005 to 2024
$6.6M
An optical-genetic toolbox for monitoring and controlling diverse neuromodulatory circuits governing complex behaviors in primatesUG3MH133047 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI DEISSEROTH, KARL A., SEIDEMANN, EYAL J · 2023 to 2025
$3.7M
Visual Search and Detection in Natural ScenesR01EY024662 · NEI · UNIVERSITY OF TEXAS AT AUSTIN · PI GEISLER, WILSON S · 2015 to 2022
$2.9M
NEI NIH HHS R01 EY016454NEI NIH HHS R01 EY024662NIMH NIH HHS UG3 MH133047NINDS NIH HHS U19 NS118284
6 · The paper itself

Abstract

Genetically encoded voltage indicators (GEVIs) can measure millisecond-scale subthreshold neural responses with cell type specificity. Here, we successfully expressed, for the first time, a GEVI in excitatory V1 neurons in macaque monkeys. We then used widefield fluorescent imaging to measure V1 dynamics in response to visual stimuli with diverse temporal waveforms and contrasts, and compared these responses to signals measured using a genetically encoded calcium indicator (GECI) and a synthetic voltage-sensitive dye (VSD). When compared to GECI, GEVI captures faster response dynamics, tracks higher temporal frequencies, and responds to lower contrasts. To quantitatively characterize these three signals, we developed a simple nonlinear model that predicts the response dynamics to stimuli with arbitrary temporal waveforms and contrasts. Our results are consistent with the hypothesis that GEVI signals reflect the dynamics of locally summed membrane potentials, thus opening the door for a new class of experiments in behaving primates.

Identifiers

PMID39975906
PMCPMC11838743

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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.