Selection of spectro-temporal patterns in multichannel MEG with support vector machines for schizophrenia classification

NF Ince, F Goksu, G Pellizzer, A Tewfik… - 2008 30th Annual …, 2008 - ieeexplore.ieee.org
We present a new framework for the diagnosis of schizophrenia based on the spectro-
temporal patterns selected by a support vector machine from multichannel …

[HTML][HTML] Changes in event-related desynchronization and synchronization during the auditory oddball task in schizophrenia patients

T Fujimoto, E Okumura, K Takeuchi… - The open …, 2012 - ncbi.nlm.nih.gov
Objective: We studied differences in the spatiotemporal dynamics of cortical oscillation
across brain regions of patients with schizophrenia and normal subjects during the auditory …

Метод анализа корреляционной синхронности ЭЭГ и его возможности

АП Кулаичев - Журнал высшей нервной деятельности им. ИП …, 2011 - elibrary.ru
Рассматривается новый методический подход к оценке синхронности ЭЭГ,
основанный на анализе корреляционных связей между амплитудно-модуляционными …

Kernel alignment for identifying objective criteria from brain MEG recordings in schizophrenia

M Martín, J Béjar, G Espósito, N Català, U Cortés… - Pattern Recognition …, 2017 - Elsevier
The current wide access to data from different neuroimaging techniques has permitted to
obtain data to explore the possibility of finding objective criteria that can be used for …

[PDF][PDF] Neurology & Neuroscience

KA Pavlovich - 2021 - scholar.archive.org
The principal errors of spectral and coherent analysis are discussed, and the mathematics of
these methods is not related to EEG nature. In this regard, in 2011, the new method was …

The use of functional networks to identify patients with schizophrenia and assess models of underlying deficits

KM Haut - 2010 - search.proquest.com
Schizophrenia is characterized by a number of cognitive deficits and neural abnormalities
resulting in the production of a variety of symptoms. However, the question of which neural …

[引用][C] The new method of assessing EEG synchrony is the best instrument for identifying interindividual and intergroup differences

KA Pavlovich - Neurology and Neuroscience, 2021