A comparison of neuronal population dynamics measured with calcium imaging and electrophysiology
Autor: | Shaul Druckmann, Kayvon Daie, Bei Jung Lin, Ziqiang Wei, Karel Svoboda, Tsai Wen Chen |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
0301 basic medicine
Fluorescence-lifetime imaging microscopy QH301-705.5 Population Models Neurological Action Potentials Biology Imaging data Cellular and Molecular Neuroscience Mice 03 medical and health sciences Neural activity 0302 clinical medicine Calcium imaging Neuroimaging Genetics Animals Fluorescent protein Biology (General) education Molecular Biology Neuronal population Ecology Evolution Behavior and Systematics 030304 developmental biology Neurons education.field_of_study 0303 health sciences Ecology Optical Imaging Dynamics (mechanics) Electrophysiological Phenomena Frontal Lobe Molecular Imaging Electrophysiology 030104 developmental biology Computational Theory and Mathematics Modeling and Simulation Calcium Spike (software development) Neuroscience 030217 neurology & neurosurgery |
Zdroj: | PLoS Computational Biology, Vol 16, Iss 9, p e1008198 (2020) |
ISSN: | 1553-7358 |
Popis: | Calcium imaging with fluorescent protein sensors is widely used to record activity in neuronal populations. The transform between neural activity and calcium-related fluorescence involves nonlinearities and low-pass filtering, but the effects of the transformation on analyses of neural populations are not well understood. We compared neuronal spikes and fluorescence in matched neural populations in behaving mice. We report multiple discrepancies between analyses performed on the two types of data, including changes in single-neuron selectivity and population decoding. These were only partially resolved by spike inference algorithms applied to fluorescence. To model the relation between spiking and fluorescence we simultaneously recorded spikes and fluorescence from individual neurons. Using these recordings we developed a model transforming spike trains to synthetic-imaging data. The model recapitulated the differences in analyses. Our analysis highlights challenges in relating electrophysiology and imaging data, and suggests forward modeling as an effective way to understand differences between these data. |
Databáze: | OpenAIRE |
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