4 results match your criteria: "Institute of Higher Nervous Activity and Neurophysiology Russian Academy of Science[Affiliation]"

Aim: There have been no criteria found so far to quantify the wide range of EEG spectral and coherent indicators, which would allow discrimination between schizophrenia disorders and healthy human states. The goal of this research is to find objective EEG-based schizophrenia criteria through a discriminant analysis and to obtain a linear discriminant function (LDF) with sensitivity and specificity of at least 85%.

Material And Methods: The study covered 83 schizophrenia patients and 116 healthy individuals, with similar major characteristics.

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Muscarinic acetylcholine receptors (mAChR) are known to be related to learning and memory processes. Inactivation of mAChR by cholinergic antagonists have been shown to produce amnesia in a variety of behavioral tasks. In this study, we investigated the role of M1 and M2 AChR on passive avoidance learning and plasticity of synapses formed by Schaffer collaterals in freely moving rats.

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Background: Visual word recognition is one of the central topics in cognitive psychology and cognitive neuroscience. Genetic factors are known to contribute to the visual word recognition, but no genes associated with this process have been identified so far. We studied the impact of the DRD2 C957T polymorphism on the efficiency of visual word recognition by measuring its neuronal correlates and behavioral parameters.

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Objective: To evaluate the spectral power of the cortical bands in patients with first episode schizophrenia and schizoaffective disorder at rest and during the performance of a mental arithmetic task.

Methods: We analyzed EEG spectral power (SP) in the resting state and subsequently while counting down from 200 in steps of 7, in 32 first episode schizophrenia patients (SZ), 32 patients with first episode schizoaffective disorder (SA) and healthy controls (HC, n=40). Behavioral parameters such as accuracy and counting speed were also evaluated.

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