Quantitative EEG Characteristics of Attention Deficit Hyperactivity Disorder in Adults
Journal Title: Macedonian Journal of Medical Sciences (MJMS) - Year 2010, Vol 3, Issue 4
Abstract
Background. Attention Deficit Hyperactivity Disorder (ADHD) in adults is fairly common, though it often goes unrecognized. The few published studies concerning the EEG assessment in the ADHD adults have demonstrated divergent EEG activity. Aim. Our aim was to identify whether the dividing the ADHD adults into the four QEEG subtypes (according to the Kropotov’s classification by comparing the each individual spectra to the Human Brain Institute (HBI) reference database) corresponds to our findings of electrophysiological measures - spectra absolute power (μV2) for each frequency band (delta, theta, alpha, beta). Material and Methods.In this study we examined the absolute spectra power of the brain waves through quantitative EEG (QEEG) in two resting conditions (eyes closed and eyes opened) and two neuropsychological tasks (visual and emotional continuous performance tests) from 67 adults diagnosed with ADHD. Results. Four distinct QEEG subtypes of adults with ADHD were selected according to the Kropotov’s classification and then were attested using statistical analysis. These were characterized by (a) increased delta-theta wave activity, (b) increased frontal midline theta, (c) beta excess and (d) alpha excess groups. Conclusion. We can conclude that the QEEG spectrum power relatively clearly differentiates the ADHD adults into four subtypes. Namely, the obtained results confirmed that the absolute power of all frequency bands depends on the group qualification. These results indicate that adults with ADHD diagnosis constitute a heterogeneous group either with different underlying electrophysiological abnormalities or in clinical expression. These valid subtypes may also have significantly different causes underlying their behaviour, and may respond differentially to medication and neurotherapy, possibilities which merit further investigation.
Authors and Affiliations
Silvana Markovska-Simoska| Division of Neuroinformatics, Research Center for Energy, Informatics and Materials, Macedonian Academy of Sciences and Arts, Skopje, Republic of Macedonia, Nada Pop-Jordanova| Department of Psychophysiology, University Pediatric Clinic, Faculty of Medicine, University “Ss Cyril and Methodius”, Skopje, Republic of Macedonia
Keywords
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- EP ID EP8771
- DOI 10.3889/MJMS.1857-5773.2010.0124
- Views 353
- Downloads 17
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