Imaging of respiratory-related population activity with single-cell resolution

2007 | journal article. A publication with affiliation to the University of Göttingen.

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​Imaging of respiratory-related population activity with single-cell resolution​
Funke, F.; Dutschmann, M. & Mueller, M.​ (2007) 
AJP Cell Physiology292(1) pp. C508​-C516​.​ DOI: https://doi.org/10.1152/ajpcell.00253.2006 

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Authors
Funke, Frank; Dutschmann, Mathias; Mueller, Michael
Abstract
The pre-Botzinger complex (PBC) in the rostral ventrolateral medulla contains a kernel involved in respiratory rhythm generation. So far, its respiratory activity has been analyzed predominantly by electrophysiological approaches. Recent advances in fluorescence imaging now allow for the visualization of neuronal population activity in rhythmogenic networks. In the respiratory network, voltage-sensitive dyes have been used mainly, so far, but their low sensitivity prevents an analysis of activity patterns of single neurons during rhythmogenesis. We now have succeeded in using more sensitive Ca2+ imaging to study respiratory neurons in rhythmically active brain stem slices of neonatal rats. For the visualization of neuronal activity, fluo-3 was suited best in terms of neuronal specificity, minimized background fluorescence, and response magnitude. The tissue penetration of fluo-3 was improved by hyperosmolar treatment (100 mM mannitol) during dye loading. Rhythmic population activity was imaged with single-cell resolution using a sensitive charge-coupled device camera and a x20 objective, and it was correlated with extracellularly recorded mass activity of the contralateral PBC. Correlated optical neuronal activity was obvious online in 29% of slices. Rhythmic neurons located deeper became detectable during offline image processing. Based on their activity patterns, 74% of rhythmic neurons were classified as inspiratory and 26% as expiratory neurons. Our approach is well suited to visualize and correlate the activity of several single cells with respiratory network activity. We demonstrate that neuronal synchronization and possibly even network configurations can be analyzed in a noninvasive approach with single-cell resolution and at frame rates currently not reached by most scanning-based imaging techniques.
Issue Date
2007
Status
published
Publisher
Amer Physiological Soc
Journal
AJP Cell Physiology 
ISSN
0363-6143

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