- Poster presentation
- Open Access
Graph theoretic characterization of in vitro neuronal network development
© Khawaja et al; licensee BioMed Central Ltd. 2014
- Published: 21 July 2014
- Neuronal Network
- Cluster Coefficient
- Weighted Graph
- Neuronal Connectivity
- Theoretic Measure
Multielectrode arrays (MEA) are routinely used to observe the development of neuronal networks in vitro, making simultaneous recordings of small proximal subpopulation activity within a cell culture. We propose the use of graph theoretic measures to deduce behavioral properties of neuronal networks as they develop in culture.
Each batch presents specific development signatures (Figure 1A) and a certain degree of consistency (Figure 1B). We believe that they capture meaningful biological variability. A greater number of cultures may yield richer and more robust characterizations. Our approach lends itself well to other downstream analysis methods, such as explicative classification models based on clustering coefficient profiles that characterize a tissue’s neuronal connectivity.
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