2020, Volume 13, Issue 1, pp 8 – 15

The Role of Quantitative EEG in the Diagnosis of Neuropsychiatric Disorders

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Authors and Affiliations

Corresponding Author: Stefan Strilciuc, MPH “RoNeuro” Institute for Neurological Research and Diagnostic, Cluj-Napoca, Romania 37 Mircea Eliade Street Cluj-Napoca, Romania E-mail: stefan.strilciuc@ssnn.ro Phone: +40740066761

Abstract

Quantitative electroencephalography (QEEG) is a modern type of electroencephalography (EEG) analysis that involves recording digital EEG signals which are processed, transformed, and analyzed using complex mathematical algorithms. QEEG has brought new techniques of EEG signals feature extraction: analysis of specific frequency band and signal complexity, analysis of connectivity, and network analysis. The clinical application of QEEG is extensive, including neuropsychiatric disorders, epilepsy, stroke, dementia, traumatic brain injury, mental health disorders, and many others. In this review, we talk through existing evidence on the practical applications of this clinical tool. We conclude that to date, the role of QEEG is not necessarily to pinpoint an immediate diagnosis but to provide additional insight in conjunction with other diagnostic evaluations in order to objective information necessary for obtaining a precise diagnosis, correct disease severity assessment, and specific treatment response evaluation.

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About this article

PMC ID: 7175442
PubMed ID: 32341694
DOI: 10.25122/jml-2019-0085

Article Publishing Date (print): Jan-Mar 2020
Available Online: 

Journal information

ISSN Printing: 1844-122X
ISSN Online: 1844-3117
Journal Title: Journal of Medicine and Life

Copyright: © 2020 Carol Davila University Press. Romania

Copyright License: Open Access

This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use and redistribution provided that the original author and source are credited.

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