Dynamic Tracking Algorithm for Time-Varying Neuronal Network Connectivity using Wide-Field Optical Image Video Sequences
Propagation of signals between neurons and brain regions provides information about the functional properties of neural networks, and thus information transfer. Advances in optical imaging and statistical analyses of acquired optical signals have yielded various metrics for inferring neural connecti...
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| Veröffentlicht in: | Scientific reports 2020-02, Vol.10 (1), p.2540, Article 2540 |
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| creator | Renteria, Carlos Liu, Yuan-Zhi Chaney, Eric J. Barkalifa, Ronit Sengupta, Parijat Boppart, Stephen A. |
| description | Propagation of signals between neurons and brain regions provides information about the functional properties of neural networks, and thus information transfer. Advances in optical imaging and statistical analyses of acquired optical signals have yielded various metrics for inferring neural connectivity, and hence for mapping signal intercorrelation. However, a single coefficient is traditionally derived to classify the connection strength between two cells, ignoring the fact that neural systems are inherently time-variant systems. To overcome these limitations, we utilized a time-varying Pearson’s correlation coefficient, spike-sorting, wavelet transform, and wavelet coherence of calcium transients from DIV 12–15 hippocampal neurons from GCaMP6s mice after applying various concentrations of glutamate. Results provide a comprehensive overview of resulting firing patterns, network connectivity, signal directionality, and network properties. Together, these metrics provide a more comprehensive and robust method of analyzing transient neural signals, and enable future investigations for tracking the effects of different stimuli on network properties. |
| doi_str_mv | 10.1038/s41598-020-59227-5 |
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| subjects | 13 14 14/35 14/63 59 631/114/1314 631/114/1564 639/705/1042 Action Potentials - physiology Algorithms Animals Calcium Calcium - metabolism Cells, Cultured Correlation coefficient Firing pattern Hippocampus Hippocampus - diagnostic imaging Hippocampus - physiology Humanities and Social Sciences Mice multidisciplinary Nerve Net - diagnostic imaging Nerve Net - physiology Neural networks Neuroimaging Neurons - physiology Optical Imaging - methods Science Science (multidisciplinary) Statistical analysis Wavelet transforms |
| title | Dynamic Tracking Algorithm for Time-Varying Neuronal Network Connectivity using Wide-Field Optical Image Video Sequences |
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