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Multi-electrode Array Recordings of Neuronal Avalanches in Organotypic Cultures
Published on: August 1, 2011
Sensory driven multi-neuronal activity and associative learning monitored in an intact CNS on a multielectrode array
Christopher A Harris1, Peter A Passaro, Ildikó Kemenes
1School of Life Sciences, University of Sussex, Brighton BN1 9QG, UK.
A novel multielectrode array (MEA) technique allows simultaneous recording from many neurons in the mollusc Lymnaea stagnalis CNS. This method reveals distributed neural activity during feeding behavior and its coordination with other behaviors.
Area of Science:
- Neuroscience
- Molluscan neurobiology
- Behavioral neuroscience
Background:
- The central nervous system (CNS) network controlling feeding behavior in Lymnaea stagnalis has been studied using microelectrodes.
- Microelectrode recordings are limited in simultaneously capturing activity from numerous neurons, hindering understanding of population coding and network interactions.
- Analyzing relationships between feeding networks and those controlling other behaviors is challenging with current microelectrode techniques.
Purpose of the Study:
- To introduce and validate a multielectrode array (MEA) technique for simultaneous, large-scale neural recordings from the intact Lymnaea stagnalis CNS.
- To investigate population coding properties of the feeding network.
- To analyze the coordination between feeding behavior and neuronal networks controlling other behaviors, such as locomotion.
Main Methods:
- Development and application of a multielectrode array (MEA) for recording action potentials from up to 60 electrodes on the intact CNS of Lymnaea stagnalis.
- Preparation of the whole CNS connected to sensory nerves and chemosensory epithelia.
- Induction of feeding behavior via depolarization of a feeding-command neuron (CV1a) or sucrose stimulation of chemosensory epithelia.
Main Results:
- The MEA successfully recorded rhythmic activity characteristic of feeding from the buccal ganglia.
- Feeding-induced neural activity was observed to be distributed widely across the CNS, including ganglia controlling locomotion.
- The MEA enabled the recording of electrophysiological changes associated with associative conditioning of feeding behavior.
Conclusions:
- The MEA technique provides a powerful tool for analyzing distributed, multi-source neural activity in the context of complex behaviors.
- This method facilitates the study of behavioral coordination, such as the integration of feeding and locomotion.
- MEA recordings from intact CNS preparations are valuable for investigating neural plasticity and learning.
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