Evidence map›Paper›PMID 27683896›Full record

ReviewThe Journal of neuroscience : the official journal of the Society for Neuroscience2016

Genetically Encoded Voltage Indicators: Opportunities and Challenges.

Helen H Yang, François St-Pierre

Abstract readReview
In one paragraph

Review in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers.

0numbers the graph read from it
0cells of the map it votes in
108citing 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

108 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Water-Soluble Molecular Wires for Membrane Potential Imaging.Angewandte Chemie (International ed. in English) · 2025
    Article
  14. Article
  15. Miniaturized widefield microscope for high speed in vivo voltage imaging.bioRxiv : the preprint server for biology · 2025
    Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article

48 more citing papers are in PubMed but not listed here.

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

2 authors.

Helen H YangDepartment of Neurobiology, Stanford University, Stanford, California 94305.ORCID 0000-0001-5140-9664
François St-PierreDepartment of Neuroscience, Baylor College of Medicine, Houston, Texas 77030, and Department of Electrical and Computer Engineering, Rice University, Houston, Texas 77005 stpierre@bcm.edu.ORCID 0000-0001-8618-4135

Funding

Dissecting Neural Circuit Computations in the Peripheral Visual SystemR01EY022638 · NEI · STANFORD UNIVERSITY · PI CLANDININ, THOMAS ROBERT · 2012 to 2021
$3.5M
Developing Transgenic Sindbis Virus as a Tool to Trace Neural CircuitryR21NS081507 · NINDS · STANFORD UNIVERSITY · PI CLANDININ, THOMAS ROBERT · 2013 to 2014
$429k
NEI NIH HHS R01 EY022638NINDS NIH HHS R21 NS081507
6 · The paper itself

Abstract

unlabelledA longstanding goal in neuroscience is to understand how spatiotemporal patterns of neuronal electrical activity underlie brain function, from sensory representations to decision making. An emerging technology for monitoring electrical dynamics, voltage imaging using genetically encoded voltage indicators (GEVIs), couples the power of genetics with the advantages of light. Here, we review the properties that determine indicator performance and applicability, discussing both recent progress and technical limitations. We then consider GEVI applications, highlighting studies that have already deployed GEVIs for biological discovery. We also examine which classes of biological questions GEVIs are primed to address and which ones are beyond their current capabilities. As GEVIs are further developed, we anticipate that they will become more broadly used by the neuroscience community to eavesdrop on brain activity with unprecedented spatiotemporal resolution. SIGNIFICANCE STATEMENT: Genetically encoded voltage indicators are engineered light-emitting protein sensors that typically report neuronal voltage dynamics as changes in brightness. In this review, we systematically discuss the current state of this emerging method, considering both its advantages and limitations for imaging neural activity. We also present recent applications of this technology and discuss what is feasible now and what we anticipate will become possible with future indicator development. This review will inform neuroscientists of recent progress in the field and help potential users critically evaluate the suitability of genetically encoded voltage indicator imaging to answer their specific biological questions.

Indexed as

Action PotentialsAnimalsBrain MappingFluorescence Resonance Energy TransferHumansLuminescent ProteinsMembrane PotentialsOptogeneticsTechnology Assessment, BiomedicalVoltage-Sensitive Dye ImagingLuminescent Proteinsbiosensorsfluorescence imaginggenetically encoded voltage indicators (GEVI)voltage imaging

Identifiers

PMID27683896
PMCPMC5039263

What OpenQuestion holds

Textmetadata
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.