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

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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.

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Authors and Affiliations

  1. N. N. Burdenko Research Institute of Neurosurgery, Russian Academy of Medical Sciences, Moscow, Russia

    I. A. Voronina, V. G. Voronov & G. A. Shchekutiev

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  1. I. A. Voronina
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  2. V. G. Voronov
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  3. G. A. Shchekutiev
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Correspondence to I. A. Voronina.

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Translated from Zhurnal Vysshei Nervnoi Deyatel’nosti imeni I. P. Pavlova, Vol. 62, No. 1, pp. 56–64, January–February, 2012.

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Voronina, I.A., Voronov, V.G. & Shchekutiev, G.A. Identification of Highly Specific Electroencephalographic Patterns in Patients with Neuroepithelial Tumors of the Third Ventricle Using Algorithmic Methods. Neurosci Behav Physi 43, 308–314 (2013). https://doi.org/10.1007/s11055-013-9732-1

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  • DOI: https://doi.org/10.1007/s11055-013-9732-1

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