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Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
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Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments.

Leonardo A Molina1, Victorita E Ivan2, Aaron J Gruber2

  • 1Canadian Center for Behavioural Neuroscience, Department of Neuroscience, University of Lethbridge; Clinical Neurosciences, Cumming School of Medicine, University of Calgary.

Journal of Visualized Experiments : Jove
|December 3, 2019
PubMed
Summary
This summary is machine-generated.

This study presents accessible Matlab code for closed-loop neurophysiological systems, enabling researchers to trigger stimuli based on real-time neuronal activity. This facilitates advanced brain research and optogenetic studies by simplifying experimental setups.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Biomedical Engineering

Background:

  • Closed-loop neurophysiological systems modulate brain activity using real-time neuronal signals to trigger stimuli.
  • These systems are crucial for both clinical applications and fundamental brain research.
  • Integrating closed-loop systems with optogenetics allows precise optical stimulation of specific neuronal populations based on activity patterns.

Purpose of the Study:

  • To provide ready-to-use Matlab code for establishing closed-loop experiments.
  • To simplify the process of triggering stimuli based on single or multiple neuronal activity.
  • To offer a flexible protocol adaptable for various stimuli and hardware integrations.

Main Methods:

  • Development of a Matlab-based code for real-time neuronal activity analysis.
  • Implementation of stimulus triggering based on predefined neuronal firing patterns.
  • Adaptation of the code for triggering sound stimuli and external devices via PC serial port.
  • Testing the protocol with the Neuralynx recording system in an awake rat model.

Main Results:

  • A functional and adaptable Matlab code for closed-loop stimulation was successfully developed.
  • The code demonstrated effective triggering of stimuli contingent on neuronal activity.
  • The protocol was validated in an in vivo experiment using an awake rat, showcasing its practical applicability.

Conclusions:

  • The provided Matlab code significantly lowers the barrier to entry for implementing closed-loop neurophysiological experiments.
  • This resource empowers researchers to design and conduct sophisticated brain-computer interface and optogenetic studies.
  • The system's flexibility supports diverse research questions in neuroscience and related fields.