Evidence map›Paper›PMID 26140329›Full record

ArticleeLife2015

Optogenetic feedback control of neural activity.

Jonathan P Newman, Ming-fai Fong, Daniel C Millard, Clarissa J Whitmire, Garrett B Stanley, Steve M Potter

Abstract read
In one paragraph

Article in eLife, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

  1. Article
  2. A new phosphorus-rhodamine voltage-sensing dye for optical membrane potential imaging.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2026
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  8. Review
  9. Article
  10. Review
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  16. Article
  17. Bayesian target optimisation for high-precision holographic optogenetics.bioRxiv : the preprint server for biology · 2023
    Article
  18. Article
  19. Article
  20. Article
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

6 authors.

Jonathan P NewmanPicower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States.ORCID http://orcid.org/0000-0002-5425-3340
Ming-fai FongPicower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States.
Daniel C MillardLaboratory for Neuroengineering, Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, United States.
Clarissa J WhitmireLaboratory for Neuroengineering, Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, United States.
Garrett B StanleyLaboratory for Neuroengineering, Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, United States.
Steve M PotterLaboratory for Neuroengineering, Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, United States.

Funding

Thalamic synchrony and the gating of information flow to cortexR01NS048285 · NINDS · HARVARD UNIVERSITY · PI STANLEY, GARRETT B. · 2004 to 2014
$2.3M
In-vivo circuit activity measurement at single cell, sub-threshold resolutionU01MH106027 · NIMH · GEORGIA INSTITUTE OF TECHNOLOGY · PI FOREST, CRAIG, STANLEY, GARRETT B. · 2014 to 2016
$1.5M
Optogenetic Population Clamp to Study Long-term Plasticity in VitroR01NS079757 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI BUTERA, ROBERT J · 2012 to 2016
$1.5M
In-vivo control of information flow by artificial stimulation: ephys and behaviorR01NS085447 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI STANLEY, GARRETT B. · 2013 to 2016
$1.2M
From Cells to Systems and Applications: Computational Neuroscience Training at EmT90DA032466 · NIDA · EMORY UNIVERSITY · PI JAEGER, DIETER, STANLEY, GARRETT B. · 2011 to 2015
$817k
Controlling thalamic state for somatosensory information flow in thalamusF31NS089412 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI WHITMIRE, CLARISSA J · 2014 to 2016
$129k
NIDA NIH HHS 1T90DA032466NIDA NIH HHS T90 DA032466NIMH NIH HHS U01 MH106027NINDS NIH HHS 1R01NS079757-01NINDS NIH HHS 2R01NS048285NINDS NIH HHS F31 NS089412NINDS NIH HHS F31NS089412NINDS NIH HHS R01 NS048285NINDS NIH HHS R01 NS079757NINDS NIH HHS R01 NS085447NINDS NIH HHS R01NS085447
6 · The paper itself

Abstract

Optogenetic techniques enable precise excitation and inhibition of firing in specified neuronal populations and artifact-free recording of firing activity. Several studies have suggested that optical stimulation provides the precision and dynamic range requisite for closed-loop neuronal control, but no approach yet permits feedback control of neuronal firing. Here we present the 'optoclamp', a feedback control technology that provides continuous, real-time adjustments of bidirectional optical stimulation in order to lock spiking activity at specified targets over timescales ranging from seconds to days. We demonstrate how this system can be used to decouple neuronal firing levels from ongoing changes in network excitability due to multi-hour periods of glutamatergic or GABAergic neurotransmission blockade in vitro as well as impinging vibrissal sensory drive in vivo. This technology enables continuous, precise optical control of firing in neuronal populations in order to disentangle causally related variables of circuit activation in a physiologically and ethologically relevant manner.

Indexed as

Action PotentialsCytological TechniquesFeedbackHumansNeuronsOptogeneticsclosed loopcultured cortical networkneuroscienceoptoclampoptogeneticsratreal-timesensory thalamus

Identifiers

PMID26140329
PMCPMC4490717

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.