Evidence map›Paper›PMID 37429962›Full record

ArticleNature methods2023

A positively tuned voltage indicator for extended electrical recordings in the brain.

S Wenceslao Evans, Dong-Qing Shi, Mariya Chavarha, Mark H Plitt, Jiannis Taxidis, Blake Madruga, Jiang Lan Fan, Fuu-Jiun Hwang, Siri C van Keulen, Carl-Mikael Suomivuori and 23 more

Open access · greenAbstract read
In one paragraph

Article in Nature methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
12.1field-weighted citation impact, top 1% 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

58 citing papers in PubMed, 81 citations in OpenAlex.

  1. Article
  2. Review
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  5. Precise calcium-to-spike inference using biophysical generative models.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

33 authors at 8 institutions in 3 countries.

S Wenceslao Evans *Department of Neurobiology, Stanford University Medical Center, Stanford, CA, USA.
Dong-Qing Shi *Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Mariya Chavarha *Department of Bioengineering, Stanford University, Stanford, CA, USA.
Mark H PlittDepartment of Neurobiology, Stanford University Medical Center, Stanford, CA, USA.
Jiannis TaxidisDepartment of Neurology, UCLA David Geffen School of Medicine, Los Angeles, CA, USA.
Blake MadrugaDepartment of Neurology, UCLA David Geffen School of Medicine, Los Angeles, CA, USA.
Jiang Lan FanUC Berkeley/UCSF Joint Program in Bioengineering, University of California Berkeley, Berkeley, CA, USA.
Fuu-Jiun HwangDepartment of Neurosurgery, Stanford University Medical Center, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-0477-986X
Siri C van KeulenDepartment of Computer Science, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-6995-8389
Carl-Mikael SuomivuoriDepartment of Computer Science, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-2445-8791
Michelle M PangDepartment of Neurobiology, Stanford University Medical Center, Stanford, CA, USA.
Sharon SuDepartment of Neurobiology, Stanford University Medical Center, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-8398-3345
Sungmoo LeeDepartment of Neurobiology, Stanford University Medical Center, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-5518-6488
Yukun A HaoDepartment of Neurobiology, Stanford University Medical Center, Stanford, CA, USA.
Guofeng ZhangDepartment of Neurobiology, Stanford University Medical Center, Stanford, CA, USA.
Dongyun JiangDepartment of Neurobiology, Stanford University Medical Center, Stanford, CA, USA.
Lagnajeet PradhanDepartment of Neurobiology, Stanford University Medical Center, Stanford, CA, USA.
Richard H RothDepartment of Neurosurgery, Stanford University Medical Center, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-6855-999X
Yu LiuDepartment of Neurosurgery, Stanford University Medical Center, Stanford, CA, USA.
Conor C DorianDepartment of Neurology, UCLA David Geffen School of Medicine, Los Angeles, CA, USA.
Austin L ReeseInstitute for Genomic Medicine, Columbia University, New York, NY, USA.
Adrian NegreanDepartment of Neuroscience, Columbia University, New York, NY, USA.
Attila LosonczyDepartment of Neuroscience, Columbia University, New York, NY, USA.ORCID http://orcid.org/0000-0002-7064-0252
Christopher D MakinsonInstitute for Genomic Medicine, Columbia University, New York, NY, USA.
Sui WangDepartment of Ophthalmology, Stanford University Medical Center, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-1563-9117
Thomas R ClandininDepartment of Neurobiology, Stanford University Medical Center, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-6277-6849
Ron O DrorDepartment of Computer Science, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-6418-2793
Jun B DingDepartment of Neurosurgery, Stanford University Medical Center, Stanford, CA, USA.
Na JiProgram in Neurosciences & Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-5527-1663
Peyman GolshaniDepartment of Neurology, UCLA David Geffen School of Medicine, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-5406-7695
Lisa M GiocomoDepartment of Neurobiology, Stanford University Medical Center, Stanford, CA, USA.
Guo-Qiang BiDivision of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.ORCID http://orcid.org/0000-0001-8735-3818
Michael Z LinDepartment of Neurobiology, Stanford University Medical Center, Stanford, CA, USA. mzlin@stanford.edu.ORCID http://orcid.org/0000-0002-0492-1961
Stanford Medicine · USStanford University · USUniversity of California, Los Angeles · USColumbia University · USUniversity of Science and Technology of China · CNAllen Institute for Brain Science · USLawrence Berkeley National Laboratory · USUniversity of California, Berkeley · US

Funding

Validating Theoretical Models with Neurophysiology and OptogeneticsU19NS107613 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MILLER, KENNETH D, SCANZIANI, MASSIMO · 2018 to 2022
$16.7M
Training Program in Basic NeuroscienceT32MH020016 · NIMH · STANFORD UNIVERSITY · PI Justin L Gardner, Merritt C Maduke · 1997 to 2026
$16.2M
Towards a Complete Description of the Circuitry Underlying Sharp Wave-Mediated Memory ReplayU19NS104590 · NINDS · STANFORD UNIVERSITY · PI SOLTESZ, IVAN · 2017 to 2021
$13.2M
Optimization, application and dissemination of high-speed hybrid multiphoton volumetric imaging technologiesU01NS115530 · NINDS · ROCKEFELLER UNIVERSITY · PI LOSONCZY, ATTILA, VAZIRI, ALIPASHA · 2020 to 2023
$4.7M
Dopamine modulation of synaptic plasticity and integration in the striatumR01NS091144 · NINDS · STANFORD UNIVERSITY · PI Jun Ding · 2015 to 2026
$4.2M
Microcircuit, cellular and molecular dissection of impaired hippocampal function in a mouse model of the 22q11.2 deletionR01MH124047 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GOGOS, JOSEPH A, LOSONCZY, ATTILA · 2020 to 2024
$3.8M
Defining Cell Type Specific Contributions to fMRI SignalsRF1MH114227 · NIMH · STANFORD UNIVERSITY · PI LEE, JIN HYUNG · 2017 to 2017
$3.7M
The power of positivity: a novel class of voltage indicators for high-fidelity brain activity imagingR01NS123681 · NINDS · STANFORD UNIVERSITY · PI LIN, MICHAEL Z. · 2021 to 2021
$3.6M
Dissecting Neural Circuit Computations in the Peripheral Visual SystemR01EY022638 · NEI · STANFORD UNIVERSITY · PI CLANDININ, THOMAS ROBERT · 2012 to 2021
$3.5M
Experimental and modeling investigations into microcircuit, cellular and subcellular determinants of hippocampal ensemble recruitment to contextual representationsR01MH124867 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LOSONCZY, ATTILA, POIRAZI, PANAYIOTA · 2021 to 2025
$3.4M
Bringing laser focus to voltage imaging: Enhanced indicators and advanced scanning methods for two-photon recording of dense networks in vivoU01NS103464 · NINDS · STANFORD UNIVERSITY · PI DIEUDONNE, STEPHANE, LIN, MICHAEL Z. · 2017 to 2019
$2.9M
Revealing circuit control of neuronal excitation with next-generation voltage indicatorsRF1MH114105 · NIMH · STANFORD UNIVERSITY · PI CLANDININ, THOMAS ROBERT, LIN, MICHAEL Z. · 2017 to 2017
$2.9M
NEI NIH HHS R01 EY022638NIMH NIH HHS R01 MH124047NIMH NIH HHS R01 MH124867NIMH NIH HHS RF1 MH114105NIMH NIH HHS RF1 MH114227NIMH NIH HHS T32 MH020016NINDS NIH HHS R00 NS104215NINDS NIH HHS R01 NS091144NINDS NIH HHS R01 NS116589NINDS NIH HHS R01 NS123681NINDS NIH HHS U01 NS103464NINDS NIH HHS U01 NS115530NINDS NIH HHS U01 NS118300NINDS NIH HHS U19 NS104590NINDS NIH HHS U19 NS107613NINDS NIH HHS UF1 NS107696
6 · The paper itself

Abstract

Genetically encoded voltage indicators (GEVIs) enable optical recording of electrical signals in the brain, providing subthreshold sensitivity and temporal resolution not possible with calcium indicators. However, one- and two-photon voltage imaging over prolonged periods with the same GEVI has not yet been demonstrated. Here, we report engineering of ASAP family GEVIs to enhance photostability by inversion of the fluorescence-voltage relationship. Two of the resulting GEVIs, ASAP4b and ASAP4e, respond to 100-mV depolarizations with ≥180% fluorescence increases, compared with the 50% fluorescence decrease of the parental ASAP3. With standard microscopy equipment, ASAP4e enables single-trial detection of spikes in mice over the course of minutes. Unlike GEVIs previously used for one-photon voltage recordings, ASAP4b and ASAP4e also perform well under two-photon illumination. By imaging voltage and calcium simultaneously, we show that ASAP4b and ASAP4e can identify place cells and detect voltage spikes with better temporal resolution than commonly used calcium indicators. Thus, ASAP4b and ASAP4e extend the capabilities of voltage imaging to standard one- and two-photon microscopes while improving the duration of voltage recordings.

Indexed as

BrainCalciumAnimalsLightingMiceMicroscopyPhotonsCalcium

Identifiers

PMID37429962
PMCPMC10627146
OpenAlexW4383746190

What OpenQuestion holds

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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.