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Related Experiment Video

Updated: Sep 14, 2025

Multi-Fiber Photometry to Record Neural Activity in Freely-Moving Animals
05:52

Multi-Fiber Photometry to Record Neural Activity in Freely-Moving Animals

Published on: October 20, 2019

36.7K

Optimized workflow for behavior-coupled fiber photometry experiment: improved data navigation and accessibility.

Anna Athanassi1, Amaury François2, Emmanuel Bourinet2

  • 1CNRS, UMR 5292, INSERM, U1028, Lyon Neuroscience Research Center, Neuroplasticity and Neuropathology of Olfactory Perception Team, University of Lyon, Lyon, France.

Frontiers in Neuroscience
|July 25, 2025
PubMed
Summary
This summary is machine-generated.

We developed an automated workflow for analyzing fiber photometry and behavioral data, enhancing insights into neural activity during spontaneous behaviors. This method simplifies data exploration for neuroscience research.

Keywords:
behaviorfiber photometrymiceolfactory perceptionvideo recording

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Area of Science:

  • Neuroscience
  • Behavioral Science
  • Optical Imaging

Background:

  • Fiber photometry is essential for studying neural activity linked to behavior.
  • Existing open-source tools often lack automated workflows for integrated fiber photometry and behavioral data analysis.
  • Streamlining data analysis is crucial for understanding complex neural dynamics.

Purpose of the Study:

  • To develop an automated workflow for analyzing fiber photometry and behavioral data.
  • To facilitate intuitive navigation and analysis of large datasets.
  • To enable efficient study of spontaneous and exploratory behaviors.

Main Methods:

  • Developed a comprehensive workflow from intracerebral optical fiber implantation to data analysis.
  • Integrated fiber photometry signal analysis with simultaneously recorded behavioral data.
  • Utilized custom algorithms for extracting and processing both data types without predefined event markers.

Main Results:

  • Validated the method in freely moving C57BL/6J mice investigating odors.
  • Assessed calcium activity (jRGECO1a) and dopaminergic dynamics (dLight1.2) in the olfactory tubercle.
  • Revealed distinct dopamine responses to attractive versus unattractive odorants, with similar calcium dynamics.

Conclusions:

  • The developed workflow significantly enhances the accessibility and efficiency of fiber photometry data analysis.
  • The method allows rapid retrieval and exploration of neural signals aligned with behavioral events.
  • This adaptable approach supports diverse research paradigms, facilitating deeper understanding of neural underpinnings of behavior.