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Functional Calcium Imaging in Developing Cortical Networks
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Decoding cortical brain states from widefield calcium imaging data using visibility graph.

Li Zhu1, Christian R Lee2, David J Margolis2,3,4

  • 1Integrated Systems and NeuroImaging Laboratory, Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, USA.

Biomedical Optics Express
|July 10, 2018
PubMed
Summary
This summary is machine-generated.

Temporal patterns in widefield calcium imaging data can predict animal behavior. This study used a visibility graph method to decode active whisking from cortical activity in mice.

Keywords:
(170.2655) Functional monitoring and imaging(170.3880) Medical and biological imaging

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Widefield optical imaging allows observation of neuronal populations across large cortical areas in awake, behaving animals.
  • Understanding the link between brain activity and behavior is a key goal in neuroscience.

Purpose of the Study:

  • To investigate if temporal characteristics of widefield calcium imaging data can be used to infer animal behavior.
  • To develop and evaluate a method for decoding behavior from cortical activity.

Main Methods:

  • Recorded cortical activity in GCaMP6f transgenic mice using widefield imaging during active whisking (AW) and no whisking (NW) states.
  • Applied a visibility graph (VG) method to extract features from the temporal dynamics of calcium signals.
  • Conducted a comprehensive analysis of different features and classifiers to identify the optimal model for behavior prediction.

Main Results:

  • The temporal features extracted using the visibility graph method contain significant discriminatory information.
  • The proposed method successfully decoded active whisking behavior from widefield calcium recordings.
  • The identified temporal characteristics of cortical activity are powerful predictors of behavior.

Conclusions:

  • Temporal dynamics of widefield calcium imaging data hold valuable information for understanding brain-behavior relationships.
  • The visibility graph approach provides an effective tool for analyzing neural dynamics and decoding behavior.
  • This method offers a promising avenue for non-invasive behavioral decoding using large-scale neural recordings.