Functional switching among dynamic neuronal hub-nodes in the brain induces transition of cognitive states
Jasleen Gund, Yashaswee Mishra, R.K. Brojen Singh, B.N. Mallick

TL;DR
This study investigates how dynamic changes in brain network hub nodes, especially in the frontal and occipital regions, facilitate transitions between waking and sleep states in rats using EEG analysis.
Contribution
It introduces a novel analysis of EEG-based network topology to understand the role of hub-node switching in cognitive state transitions.
Findings
Decreased hub-nodes during NREMS indicate functional disconnection.
Switching ratio of hub/non-hub nodes varies during state transitions.
Multifractal analysis shows higher complexity in vigilance state-transitions.
Abstract
The cognitive states have broadly been divided into waking, rapid eye movement sleep and non-REMS. Although the mechanism of state transition is unknown, it has been proposed that functional activation/deactivation among different brain regions leads to such transition. As analysis of electroencephalogram allows us exploring properties and association among brain regions, we exploited it to address our query. We have recorded the frontal and occipital cortical EEG from surgically prepared chronic freely moving, normally behaving rats and classified their vigilance states and vigilance state-transitions. The complexity analysis carried out by computing multifractal spectrum width categorized VST as highly non-linear and complex than their participating vigilance states. The EEG signals were decomposed into frequency ranges as that of classical human Delta, Theta, Alpha, Beta and Gamma…
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Taxonomy
TopicsNeural dynamics and brain function · Complex Systems and Time Series Analysis · EEG and Brain-Computer Interfaces
MethodsRacho art talk sea
