Evidence map›Paper›PMID 18341986›Full record

ReviewNeuron2008

Genetic dissection of neural circuits.

Liqun Luo, Edward M Callaway, Karel Svoboda

Open access · bronzeAbstract readReview
In one paragraph

Review in Neuron, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 417 papers.

0numbers the graph read from it
0cells of the map it votes in
417citing papers in PubMed
28.8field-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

417 citing papers in PubMed, 774 citations in OpenAlex.

  1. Review
  2. Article
  3. Ecological Visual Processing in the Mouse.Annual review of neuroscience · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Imprecision in Vision: Lessons From Neural Circuits in the Fly.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Sequence-Independent RNA Sensing in Living Mammalian Cells.bioRxiv : the preprint server for biology · 2025
    Article
  14. Strategies to Decipher Neuron Identity from Extracellular Recordings in Behaving Nonhuman Primates.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Advanced rehabilitation in ischaemic stroke research.Stroke and vascular neurology · 2024
    Review
  20. Article

357 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

3 authors at 2 institutions in 1 country.

Liqun LuoDepartment of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA.
Edward M Callaway
Karel Svoboda
Howard Hughes Medical Institute · USSalk Institute for Biological Studies · US

Funding

Local Connections of Inhibitory Cortical NeuronsR01MH063912 · NIMH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI CALLAWAY, EDWARD M · 2001 to 2020
$8.4M
NEURAL CIRCUITS IN VISUAL CORTICAL AREAS V1 AND V2R01EY010742 · NEI · UNIVERSITY OF COLORADO DENVER · PI CALLAWAY, EDWARD M · 1994 to 2011
$5.5M
Howard Hughes Medical InstituteNEI NIH HHS R01 EY010742NIMH NIH HHS R01 MH063912
6 · The paper itself

Abstract

Understanding the principles of information processing in neural circuits requires systematic characterization of the participating cell types and their connections, and the ability to measure and perturb their activity. Genetic approaches promise to bring experimental access to complex neural systems, including genetic stalwarts such as the fly and mouse, but also to nongenetic systems such as primates. Together with anatomical and physiological methods, cell-type-specific expression of protein markers and sensors and transducers will be critical to construct circuit diagrams and to measure the activity of genetically defined neurons. Inactivation and activation of genetically defined cell types will establish causal relationships between activity in specific groups of neurons, circuit function, and animal behavior. Genetic analysis thus promises to reveal the logic of the neural circuits in complex brains that guide behaviors. Here we review progress in the genetic analysis of neural circuits and discuss directions for future research and development.

Indexed as

AnimalsGene Expression RegulationHumansNerve NetNeural PathwaysNeurons

Identifiers

PMID18341986
PMCPMC2628815
OpenAlexW1999055090

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.