Publications by authors named "Sukhtej Sahni"

Introduction: Several computer-aided diagnosis systems for depression are suggested for use by clinicians to authorize the diagnosis. EEG may be used as an objective analysis tool for identifying depression in the initial stage to avoid it from reaching a severe and permanent state. However, artifact contamination reduces the accuracy in EEG signal processing systems.

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Background: Biofeedback is a type of neurofeedback that delivers a graphical knowledge rich in multimedia for the brain waves and produces a feedback signal on brain activity using the multimedia skills of computers and, thus, teaches self-regulation. It has been examined as potential treatment in recent years.

Primary Study Objective: The aim of the present study was to recognize variations in symptoms of depression in terms of electroencephalogram (EEG) neuronal mechanisms underlying quantitative electroencephalography (QEEG) neurofeedback.

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Background: Electroencephalography (EEG) may be used as an objective diagnosis tool for diagnosing various disorders. Recently, source localization from EEG is being used in the analysis of real-time brain monitoring applications. However, inverse problem reduces the accuracy in EEG signal processing systems.

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Background & Objectives: Clozapine may be more useful in treatment-naive patients with first-episode schizophrenia for better symptoms control and improving quality of life. The current study was carried out to compare the efficacy and tolerability of clozapine versus risperidone in treatment-naive, first-episode patients of schizophrenia.

Methods: This was a comparative, open-label, six months prospective study of treatment-naive, first-episode patients with schizophrenia between the age group of 18 and 40 yr diagnosed as per the International Classification of Diseases-10 (ICD-10) criteria.

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