Abstract
Imagined activities could actually be a cognitive basis for creative thinking. However it is still unknown how they might be related with the architecture of the brain. A recent study has proved the relevance of the imagined activity when investigating neuronal diseases, by comparing variations in the neuronal activity of patients with brain diseases and healthy subjects. One important aspect of the scientific methodologies focused on neuronal diseases is therefore to provide a trustable methodology that could allow us to distinguish between realized and imagined activities in the brain. The electroencephalogram is the result of synchronized action of the cerebrum, and our end is portraying the network dynamics through the neuronal responses when the subjects perform visuomotor and specific imaginary assignments. We use a subtle information theoretical approach accounting for the time causality of the signal and the closeness centrality of the different nodes. More specifically we perform estimations of the probability distribution of the data associated to each node using the Bandt and Pompe to account for the causality of the electroencephalographic signals. We calculate the Jensen-Shannon distance across different nodes, and then we quantify how fast the information flow would be through a given node to other nodes computing the closeness centrality. We perform a statistical analysis to compare the closeness centrality considering the different rhythmic oscillation bands for each node taking into account imagined and visuomotor tasks. Our discoveries stress the pertinence of the alpha band while performing and distinguishing the specific imaginary or visuomotor assignments.
Highlights
One of the principal assumptions in neuroscience is that the brain computes, and this is accepted by most scientists in the area
The statistical complexity is the result of two entropies, the Shannon entropy and Jensen–Shannon divergence, it is a non-trivial mathematical relation of the entropy since it relies upon two probability functions, i.e., the one relating to the condition of the system and the uniform probability distribution functions (PDFs) taken as reference state
Our objective is to focus on a better understanding of situations in which a given oscillation band recruits specific brain networks for a given oscillation supporting a distinction between the forms identified with attention and development of imaginary movements
Summary
One of the principal assumptions in neuroscience is that the brain computes, and this is accepted by most scientists in the area. The information is transmitted through trains of action potential or less frequently by local field potentials (LFPs). For the action potentials, the information can be transmitted through the counting of spikes, the temporal precision of them, the structure of the time series, the synchronization between groups of neurons, or some combination of these [1,2,3,4,5,6,7,8,9,10,11]. The brain does not have a single code but multiple which depend on multiple complex dynamic variables
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