Rajanikant Panda

TL;DR: In this paper, the authors used dynamic causal modeling (DCM) of 10 min of high-density EEG recordings (N = 10, 4 males) obtained during behavioural responsiveness, unconsciousness and post-anaesthetic recovery to characterise differences in effective connectivity within frontal areas, the posterior 'hot zone', frontoparietal connections, and between-RSN connections.

TL;DR: OBPP occurs in an immature brain and causes central cortical changes and secondary corpus callosum atrophy which may be due to retrograde transneuronal degeneration, which may result in disruption of interhemispheric coactivation and consequent reduction in activation of sensorimotor network even in the ipsilateral hemisphere.

TL;DR: Graph theory-based analyses showed that networks in DOC patients are characterized by impaired global information processing and increased local information processing (network segregation) as compared to controls, and the large-scale functional brain networks had integration decreasing with lower level of consciousness.

TL;DR: Attempts have been taken to distinguish between normal, epileptic and non-epileptic EEG waves by use of Support Vector Machine (SVM), and it was clearly found that the classification accuracy was significantly higher i.e. more than ninety percentage.

TL;DR: A dynamic functional connectivity analysis using resting state functional magnetic resonance imaging in 14 patients before and during a propofol infusion to characterize the sedation-induced alterations in consciousness and support the concept of defining consciousness as a dynamic and integrated network.