Neuroinformatics: Application of Q-EEG in Pediatric Research and Practice

Gjoneska, Biljana and Pop-Jordanova, Nada and Markovska Simovska, Silvana (2008) Neuroinformatics: Application of Q-EEG in Pediatric Research and Practice. In: Proceedings of the Sixth Conference on Informatics and Information Technology. Institute of Informatics, Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University in Skopje, Macedonia, Skopje, Macedonia, pp. 51-53. ISBN 978-9989-668-78-4

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Abstract

The discipline called ‘Neuroinformatics' stands upon three pillars: data management and sharing, development of computational models of the nervous system and neuronal processes, which simultaneously may lead to development of new methods for information technology. Research activities in the Division of Bioinformatics at the Macedonian Academy of Sciences and Arts include the first category associated with integration and interpretation of neuroscience data trough the help of quantitative or computerized EEG (Q-EEG). The course of work using this technique includes following steps: recording of multichannel EEG with the administration of standardized tests, signal processing and extraction of features from investigated EEG signal, analysis of EEG features and comparison of subject's data with a normative database corrected for time-of-day variations. In pediatric practice certain Q-EEG techniques are established as an additional tool for diagnosis of epilepsy, cerebrovascular diseases, postconcussion syndrome, learning disability disorders, attention disorders, schizophrenia and depression. Q-EEG is also used as a base for neurofeedback treatment which is specific operant-conditioning paradigm where an individual learns to influence the electrical activity (frequency, amplitude or synchronization) of his brain. It involves teaching skills through the rewarding experience of inducing EEG changes reflected in a perceivable signal (light or sound). It has been shown that neurofeedback is particularly useful for pathologies characterized by dysfunctional regulation of cortical arousal, such as epilepsy and attention deficit hyperactivity disorder (ADHD). In Macedonian medical practice we provide treatment for following problems: psychosomatic, behavioral, elimination, phobic, eating and sleeping disorders, as well as ticks, stuttering, ADHD, and children who suffer from some chronic diseases. In summary, Q-EEG is proven as a very useful tool in pediatric research and practice that can further evolve by constant cooperation between informatics and neuroscience. Areas where computer science can be of particular help are associated with developing technologies to improve and facilitate processing of large amounts of EEG data and application of new electronic and software technologies for better arrangement, organization and management of Databases.

Item Type: Book Section
Subjects: International Conference on Informatics and Information Technologies > Intelligent Systems
Depositing User: Vangel Ajanovski
Date Deposited: 28 Oct 2016 00:15
Last Modified: 28 Oct 2016 00:15
URI: http://eprints.finki.ukim.mk/id/eprint/11043

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