Nithyananda Pradhan

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The EEG time series has been subjected to various formalisms of analysis to extract meaningful information regarding the underlying neural events. In this paper the linear prediction (LP) method has been used for analysis and presentation of spectral array data for the better visualisation of background EEG activity. It has also been used for signal(More)
In a double-blind, prospective study, 29 patients with endogenous depression were treated with electroconvulsive therapy (ECT). The degree of attenuation in Hamilton Rating Scale for Depression scores after the first ECT was compared between ECT responders and non-responders at the end of the treatment course; a significant difference was obtained,(More)
Electroencephalogram spectral power was estimated at 30 scalp locations in 28 neuroleptic-naive, recent-onset schizophrenia (NRS) patients and 25 healthy comparison subjects in the resting eyes closed condition. Weighted relative power values in the various bandwidths were initially compared between NRS subjects and comparison subjects and subsequently(More)
Neural networks, inspired by the organizational principles of the human brain, have recently been used in various fields of application such as pattern recognition, identification, classification, speech, vision, signal processing, and control systems. In this study, a two-layered neural network has been trained for the recognition of temporal patterns of(More)
Groups of adult, male, Wistar rats were administered phenytoin (DPH) at 5, 12.5, 25, 50, or 75 mg/kg i.p. for 21 days. The learning and memory of these rats were assessed using the T-maze and passive avoidance tests. The plasma DPH levels, acetylcholine esterase (AChE) activity in different brain regions, and the levels of monoamines in the hippocampus were(More)
The dynamical behaviour of the brain is currently being viewed from the perspective of nonlinear dynamics. There are several reports of low dimensional chaotic activity in various states of human behaviour. The time evolution of chaotic systems exhibit many transitional states and brain is known to undergo a number of transitions in sleep. It evolves from(More)
The learning and memory in adult, male Wistar rats were assessed using the T-maze and passive avoidance tests after chronic administration of phenobarbital (PB) at 5, 15, 30, 60, or 75 mg/kg intraperitoneally (IP) for 21 days. The PB levels in plasma, the acetylcholine esterase (AChE) activity in the motor cortex, pyriform cortex, olfactory bulb, striatum,(More)
Low dimensional chaos is a property of many physiological oscillatory systems including the brain. Time series of sleep EEG records have been analyzed in the framework of recent developments in nonlinear dynamics. One of the characteristics of a chaotic time series is its attractor dimension. The running attractor dimension of a chaotic time series may(More)
Groups of adult, male, Sprague-Dawley rats were subjected to either restraint at room temperature or cold restraint at 4 +/- 1 degree C for 2 h. Spontaneous motility, measured immediately after the stress, was decreased and defecation scores were increased in the cold restraint group but not in the restraint group. The rats were then sacrificed and(More)
Running fractal dimensions were measured on four channels of an electroencephalogram (EEG) recorded from a normal volunteer. The changes in the background activity due to eye closure were clearly differentiated by the fractal method. The compressed spectral array (CSA) and the running fractal dimensions of the EEG showed corresponding changes with respect(More)