Understanding the dynamical processes driving the functioning of the brain, especially inter-regional connectivity, remains a significant challenge. This study examines methods for analyzing the electrophysiological activity and connectivity of invitro neural networks, which are pivotal for getting insights into brain functions and neurological disorders such as epilepsy and Alzheimer’s disease. Using multi-electrode arrays (MEAs) with 4096 electrodes, we recorded extracellular local field potentials from cultured neural networks. We describe our experimental setup, focusing on high-density MEA technology, and outline protocols for data collection and analysis using Python and Fortran. Our results, on the analysis of MEA signals, contribute to the understanding of the dynamics of cultured neural networks and in the development of new methods for future research.

Analysis of MEA recordings in cultured neural networks

Iannello L.;Calcagnile L. M.;Cremisi F.;Di Garbo A.
2024

Abstract

Understanding the dynamical processes driving the functioning of the brain, especially inter-regional connectivity, remains a significant challenge. This study examines methods for analyzing the electrophysiological activity and connectivity of invitro neural networks, which are pivotal for getting insights into brain functions and neurological disorders such as epilepsy and Alzheimer’s disease. Using multi-electrode arrays (MEAs) with 4096 electrodes, we recorded extracellular local field potentials from cultured neural networks. We describe our experimental setup, focusing on high-density MEA technology, and outline protocols for data collection and analysis using Python and Fortran. Our results, on the analysis of MEA signals, contribute to the understanding of the dynamics of cultured neural networks and in the development of new methods for future research.
2024
Istituto di Biofisica - IBF - Sede Secondaria Pisa
979-8-3503-8279-2
Neurological diseases , Protocols , Correlation , Local field potentials , Electrophysiology , Complexity theory , Recording , Arrays , Synchronization , Biological neural networks
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/538009
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