Evidence map›Paper›PMID 25942453›Full record

ArticleeLife2015

Reverse-correlation analysis of navigation dynamics in Drosophila larva using optogenetics.

Luis Hernandez-Nunez, Jonas Belina, Mason Klein, Guangwei Si, Lindsey Claus, John R Carlson, Aravinthan Dt Samuel

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 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

61 citing papers in PubMed.

  1. The larvalScience advances · 2026
    Article
  2. The larvalbioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. CRASH2p: Closed-loop Two Photon Imaging in a Freely Moving Animal.bioRxiv : the preprint server for biology · 2024
    Article
  7. Optogenetics Neuromodulation of the Nose.Behavioural neurology · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Olfactory Sensing and Navigation in Turbulent Environments.Annual review of condensed matter physics · 2022
    Article
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Luis Hernandez-NunezCenter for Systems Biology, Harvard University, Cambridge, United States.
Jonas BelinaDepartment of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, United States.
Mason KleinDepartment of Physics and Center for Brain Science, Harvard University, Cambridge, United States.
Guangwei SiDepartment of Physics and Center for Brain Science, Harvard University, Cambridge, United States.
Lindsey ClausDepartment of Physics and Center for Brain Science, Harvard University, Cambridge, United States.
John R CarlsonDepartment of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, United States.
Aravinthan Dt SamuelDepartment of Physics and Center for Brain Science, Harvard University, Cambridge, United States.

Funding

GENETIC AND MOLECULAR ANALYSIS OF OLFACTIONR01DC002174 · NIDCD · YALE UNIVERSITY · PI CARLSON, JOHN R · 1994 to 2024
$8.0M
PROJECT 4: MOLECULAR AND CELLULAR MECHANISMS FOR THERMAL ROBUSTNESS AND MULTISENP01GM103770 · NIGMS · BRANDEIS UNIVERSITY · PI SENGUPTA, PIALI · 2013 to 2017
$6.2M
Biophysical approaches to complex navigational behaviors in larval Drosophila melDP1GM105383 · NIGMS · HARVARD UNIVERSITY · PI SAMUEL, ARAVINTHAN D. · 2012 to 2012
$832k
NCCDPHP CDC HHS 8DP1GM105383-05NIDCD NIH HHS R01 DC002174NIGMS NIH HHS 1P01GM103770NIGMS NIH HHS DP1 GM105383NIGMS NIH HHS P01 GM103770
6 · The paper itself

Abstract

Neural circuits for behavior transform sensory inputs into motor outputs in patterns with strategic value. Determining how neurons along a sensorimotor circuit contribute to this transformation is central to understanding behavior. To do this, a quantitative framework to describe behavioral dynamics is needed. In this study, we built a high-throughput optogenetic system for Drosophila larva to quantify the sensorimotor transformations underlying navigational behavior. We express CsChrimson, a red-shifted variant of channelrhodopsin, in specific chemosensory neurons and expose large numbers of freely moving animals to random optogenetic activation patterns. We quantify their behavioral responses and use reverse-correlation analysis to uncover the linear and static nonlinear components of navigation dynamics as functions of optogenetic activation patterns of specific sensory neurons. We find that linear-nonlinear models accurately predict navigational decision-making for different optogenetic activation waveforms. We use our method to establish the valence and dynamics of navigation driven by optogenetic activation of different combinations of bitter-sensing gustatory neurons. Our method captures the dynamics of optogenetically induced behavior in compact, quantitative transformations that can be used to characterize circuits for sensorimotor processing and their contribution to navigational decision making.

Indexed as

Models, BiologicalAnimalsChemotaxisDrosophilaLarvaNeural PathwaysOptogeneticsRhodopsinSpatial NavigationTaste PerceptionRhodopsinchemotaxisD. melanogastergustationneuroscienceolfactionoptogenetics

Identifiers

PMID25942453
PMCPMC4466337

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Registered trials

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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.