ReviewNature reviews. Neuroscience2012
Genetically encoded optical indicators for the analysis of neuronal circuits.
Review in Nature reviews. Neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers.
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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.
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Who cites it
112 citing papers in PubMed.
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- Integrating multimodal data to understand cortical circuit architecture and function.Nature neuroscience · 2025Review
- Non-contact confocal calcium imaging ofBiomedical optics express · 2025Article
- Review of cocaine-induced brain vascular and cellular function changes measuredNeurophotonics · 2025Review
- Ex vivo propagation of synaptically-evoked cortical depolarizations in a mouse model of Alzheimer's disease at 20 Hz, 40 Hz, or 83 Hz.Scientific reports · 2024Article
- Neurovascular effects of cocaine: relevance to addiction.Frontiers in pharmacology · 2024Review
- Article
- Fluorescence-amplified nanocrystals in the second near-infrared window for in vivo real-time dynamic multiplexed imaging.Nature nanotechnology · 2023Article
- Video-based pooled screening yields improved far-red genetically encoded voltage indicators.Nature methods · 2023Article
- DIRECT, a low-cost system for high-speed, low-noise imaging of fluorescent bio-samples.Biomedical optics express · 2023Article
- Cortical Correlates of Psychedelic-Induced Shaking Behavior Revealed by Voltage Imaging.International journal of molecular sciences · 2023Article
- Stable wide-field voltage imaging for observing neuronal plasticity at the neuronal network level.Biophysics and physicobiology · 2023Article
- Neuromorphic-Based Neuroprostheses for Brain Rewiring: State-of-the-Art and Perspectives in Neuroengineering.Brain sciences · 2022Review
- An Autonomous Molecular Bioluminescent Reporter (AMBER) for Voltage Imaging in Freely Moving Animals.Advanced biology · 2021Article
- Magnetoelectric effect: principles and applications in biology and medicine- a review.Materials today. Bio · 2021Review
- Current Review of Optical Neural Interfaces for Clinical Applications.Micromachines · 2021Review
- Rational engineering of ratiometric calcium sensors with bright green and red fluorescent proteins.Communications biology · 2021Article
- Optical Electrophysiology: Toward the Goal of Label-Free Voltage Imaging.Journal of the American Chemical Society · 2021Article
- In vivo imaging of immediate early gene expression dynamics segregates neuronal ensemble of memories of dual events.Molecular brain · 2021Article
52 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In a departure from previous top-down or bottom-up strategies used to understand neuronal circuits, many forward-looking research programs now place the circuit itself at their centre. This has led to an emphasis on the dissection and elucidation of neuronal circuit elements and mechanisms, and on studies that ask how these circuits generate behavioural outputs. This movement towards circuit-centric strategies is progressing rapidly as a result of technological advances that combine genetic manipulation with light-based methods. The core tools of these new approaches are genetically encoded optical indicators and actuators that enable non-destructive interrogation and manipulation of neuronal circuits in behaving animals with cellular-level precision. This Review examines genetically encoded reporters of neuronal function and assesses their value for circuit-oriented neuroscientific investigations.
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Registered trials
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.