Optical recording of electrical activity in intact neuronal networks with random access second-harmonic generation microscopy

Year: 2008

Authors: Sacconi L., Mapelli J., Gandolfi D., Lotti J., O’Connor R.P., D’Angelo E., Pavone FS.

Autors Affiliation: European Laboratory for Nonlinear Spectroscopy (LENS), University of Florence, Italy
Department of Physics, University of Florence, Italy
Department of Cellular-Molecular Physiological and Pharmacological Sciences, University of Pavia, Italy

Abstract: One of the main challenges in understanding the central nervous system is to measure the network dynamics of neuronal assemblies, while preserving the computational role of individual neurons. However, this is not possible with current techniques. In this work, we combined the advantages of second-harmonic generation (SHG) with a random access (RA) excitation scheme to realize a new microscope (RASH) capable of optically recording fast membrane potential events occurring in a wide-field of view. The RASH microscope, in combination with bulk loading of tissue with FM4-64 dye, was used to simultaneously record electrical activity from clusters of Purkinje cells in acute cerebellar slices. Complex spikes, both synchronous and asynchronous, were optically recorded simultaneously across a given population of neurons. Spontaneous electrical activity was also monitored simultaneously in pairs of neurons, where action potentials were recorded without averaging across trials. These results show the strength of this technique in describing the temporal dynamics of neuronal assemblies, opening promising perspectives in understanding the computations of neuronal networks. (C) 2008 Optical Society of America.

Journal/Review: OPTICS EXPRESS

Volume: 16 (19)      Pages from: 14910  to: 14921

More Information: We thank Marco Capitanio for making Fig. 1, Francesco Vanzi and Daniel Dombeck for helpful discussions about the manuscript, Marco DePas for electronic support and Riccardo Ballerini for mechanical support. This research project has been supported by the European Community
DOI: 10.1364/OE.16.014910

Citations: 39
data from “WEB OF SCIENCE” (of Thomson Reuters) are update at: 2024-04-14
References taken from IsiWeb of Knowledge: (subscribers only)
Connecting to view paper tab on IsiWeb: Click here
Connecting to view citations from IsiWeb: Click here