Identification of Highly Specific Electroencephalographic Patterns in Patients with Neuroepithelial Tumors of the Third Ventricle Using Algorithmic Methods

Autor:	V. G. Voronov, G. A. Shchekutiev, I. A. Voronina
Rok vydání:	2013
Předmět:	Third ventricle medicine.diagnostic_test business.industry General Neuroscience Neuroepithelial tumors Clinical epidemiology Electroencephalography Eeg patterns Identification (information) medicine.anatomical_structure Medicine In patient business Neuroscience
Zdroj:	Neuroscience and Behavioral Physiology. 43:308-314
ISSN:	1573-899X 0097-0549
DOI:	10.1007/s11055-013-9732-1
Popis:	An algorithm was proposed for highly specific EEG patterns in neurooncological patients. The algorithm involves selection of reference cases and subsequent classification of these into study and control groups using a database of patients, EEG recordings, and indicators, querying the database, generating singleindicator candidate EEG patterns, using a four-cell table to extract and verify EEG patterns of adequate sensitivity and specificity, and selecting the best. Application of the algorithmic method to material from 368 patients with tumors of basal-diencephalic localization identified new EEG patterns in patients with different anatomical-topographical variants of neuroepithelial tumors of the third ventricle. These patterns can be used to improve the diagnosis and identify the pathophysiological bases of clinical syndromes.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d7972375318b7b52ec49f098056c785f https://doi.org/10.1007/s11055-013-9732-1 Zobrazit plný text záznamu Full text from SpringerLink