Evidence map›Paper›PMID 41254285›Full record

ReviewNature neuroscience2025

Roadmap for direct and indirect translation of optogenetics into discoveries and therapies for humans.

Christian Lüscher, Valentina Emiliani, Nita Farahany, Aryn Gittis, Viviana Gradinaru, Katherine A High, Botond Roska, José-Alain Sahel, Ofer Yizhar, Hongkui Zeng and 1 more

Abstract readReview
In one paragraph

Review in Nature neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Intrinsic space-time couplings governing multi-scale cortical dynamics.bioRxiv : the preprint server for biology · 2026
    Article
  6. Review
  7. Review
  8. Review
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

11 authors.

Christian LüscherDepartment of Basic Neuroscience, University of Geneva, Geneva, Switzerland. christian.luscher@unige.ch.ORCID http://orcid.org/0000-0001-7917-4596
Valentina EmilianiSorbonne Université, INSERM, CNRS, Institut de la Vision, Paris, France.ORCID http://orcid.org/0000-0003-2992-9510
Nita FarahanyDuke Law School, Durham, NC, USA.ORCID http://orcid.org/0000-0003-4808-6256
Aryn GittisDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, USA.
Viviana GradinaruDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0001-5868-348X
Katherine A HighRockefeller University, New York, NY, USA.ORCID http://orcid.org/0000-0002-0805-6223
Botond RoskaInstitute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland.ORCID http://orcid.org/0000-0002-9559-1450
José-Alain SahelSorbonne Université, INSERM, CNRS, Institut de la Vision, Paris, France.ORCID http://orcid.org/0000-0002-4831-1153
Ofer YizharDepartment of Brain Sciences, Weizman Institute of Science, Rehovot, Israel. ofer.yizhar@weizmann.ac.il.ORCID http://orcid.org/0000-0003-4228-1448
Hongkui ZengAllen Institute for Brain Science, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-0326-5878
Karl DeisserothDepartment of Bioengineering, Stanford University, Stanford, CA, USA. deissero@stanford.edu.ORCID http://orcid.org/0000-0001-9440-3967

Funding

Functionally guided adult whole brain cell atlas in human and NHPUM1MH130981 · NIMH · ALLEN INSTITUTE · PI Ed Lein, Hongkui Zeng · 2022 to 2026
$91.9M
Generation of novel cell type specific mouse genetic toolsU19MH114830 · NIMH · ALLEN INSTITUTE · PI NGAI, JOHN J. · 2017 to 2021
$64.7M
Comprehensive single-cell atlas of the developing mouse brainU01MH130962 · NIMH · HARVARD UNIVERSITY · PI Paola Arlotta, Tomasz Nowakowski · 2022 to 2026
$33.3M
Training CoreP50DA042012 · NIDA · STANFORD UNIVERSITY · PI Karl A. Deisseroth · 2017 to 2026
$27.1M
Next Generation Opto-GPCRs for Neuromodulatory ControlU01NS128537 · NINDS · UNIVERSITY OF WASHINGTON · PI Andre Berndt, Michael R. Bruchas · 2023 to 2026
$4.4M
Circuit-Inspired Strategies to Restore Basal Ganglia Function in Mouse Models of Parkinson’s DiseaseR35NS132213 · NINDS · CARNEGIE-MELLON UNIVERSITY · PI Aryn Hilary Gittis · 2023 to 2026
$2.8M
NIDA NIH HHS P50 DA042012NIMH NIH HHS U01 MH130962NIMH NIH HHS U19 MH114830NIMH NIH HHS UM1 MH130981NINDS NIH HHS R35 NS132213NINDS NIH HHS U01 NS128537
6 · The paper itself

Abstract

Optogenetics has transformed basic research on neural circuitry, led to diverse experimental insights into human brain function and dysfunction, and opened pathways for clinical translation based on new understanding of how specific cell types contribute to cognition and behavior. Many of these translational pathways do not rely on the direct application of optogenetics in humans, but rather develop and advance other treatment modalities by leveraging causal knowledge derived from optogenetic circuit neuroscience. However, a recent proof-of-principle study-showing that optogenetics applied directly to the human central nervous system can treat blindness-underscores not only the curative potential but also the need for careful ethical consideration in the extension of direct optogenetic intervention to other disorders. Here, we review relevant considerations-including the selection of clinical indications, identification of molecular and optical strategies for specificity, and navigation of safety and regulatory issues-that together inform the development of optogenetic translation targeting cells and circuits that have been causally implicated through optogenetic discoveries.

Indexed as

BrainOptogeneticsTranslational Research, BiomedicalAnimalsHumans

Identifiers

PMID41254285
PMCPMC12860890

What OpenQuestion holds

Textmetadata
LicenceTDM
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.