6533b85efe1ef96bd12c08e2
RESEARCH PRODUCT
Analyzing the feasibility of time correlated spectral entropy for the assessment of neuronal synchrony
Jarno M. A. TanskanenFikret E. KapucuJarno E. MikkonenJari Hyttinensubject
0301 basic medicineSpectral power distributionhippocampusta3112Correlation03 medical and health sciences0302 clinical medicineStatisticsBiological neural networkAnimalsEntropy (information theory)Neuronal synchronyAnalysis methodMathematicsta217Quantitative Biology::Neurons and Cognitionta213Spectral entropybiological neural networkselectrodesrats030104 developmental biologycorrelationBiological systementropyprobesMicroelectrodes030217 neurology & neurosurgerydescription
In this paper, we study neuronal network analysis based on microelectrode measurements. We search for potential relations between time correlated changes in spectral distributions and synchrony for neuronal network activity. Spectral distribution is quantified by spectral entropy as a measure of uniformity/complexity and this measure is calculated as a function of time for the recorded neuronal signals, i.e., time variant spectral entropy. Time variant correlations in the spectral distributions between different parts of a neuronal network, i.e., of concurrent measurements via different microelectrodes, are calculated to express the relation with a single scalar. We demonstrate these relations with in vivo rat hippocampal recordings, and observe the time courses of the correlations between different regions of hippocampus in three sequential recordings. Additionally, we evaluate the results with a commonly employed causality analysis method to assess the possible correlated findings. Results show that time correlated spectral entropy reveals different levels of interrelations in neuronal networks, which can be interpreted as different levels of neuronal network synchrony.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-08-01 |