Journal of IMAB - Annual Proceeding (Scientific Papers)
Publisher: Peytchinski, Gospodin Iliev ET
ISSN: 1312-773X (Online)
Issue: 2017, vol. 23, issue 1
Subject Area: Medicine
Pages: 1441-1443
DOI: 10.5272/jimab.2017231.1441
Published online: 24 January 2017

J of IMAB 2017 Jan-Mar;23(1):1441-1443
Plamen D. Dimitrov1Corresponding Autor, Petar Petrov1, Ivan Aleksandrov1, Ivan Dimitrov2, Mariyana Mihailova3, Galina Radkova1, Raya Dimitrova1.
1) Department of Psychiatry and Medical Psychology, Faculty of Medicine, Medical University of Varna, Bulgaria,
2) Sliven Affiliate, Medical University of Varna, Bulgaria,
3) Department of Physiotherapy, rehabilitation, thalassotherapy and occupational diseases, Faculty of Medicine, Medical University of Varna, Bulgaria.

Background: Autism is a mental developmental disorder, manifested in the early childhood. Attention deficit hyperactivity disorder is another psychiatric condition of the neurodevelopmental type. Both disorders affect information processing in the nervous system, altering the mechanisms which control how neurons and their synapses are connected and organized.
Purpose: To examine if quantitative EEG assessment is sensitive and simple enough to differentiate autism from attention deficit hyperactivity disorder and neurologically typical children.
Material and methods: Quantitative EEG is a type of electrophysiological assessment that uses computerized mathematical analysis to convert the raw waveform data into different frequency ranges. Each frequency range is averaged across a sample of data and quantified into mean amplitude (voltage in microvolts mV). We performed quantitative EEG analysis and compared 4 cohorts of children (aged from 3 to 7 years): with autism (high [n=27] and low [n=52] functioning), with attention deficit hyperactivity disorder [n=34], and with typical behaviour [n75].
Results: Our preliminary results show that there are significant qEEG differences between the groups of patients and the control cohort. The changes affect the potential levels of delta-, theta-, alpha-, and beta- frequency spectrums.
Conclusion: The present study shows some significant quantitative EEG findings in autistic patients. This is a step forward in our efforts, aimed at defining specific neurophysiologic changes, in order to develop and refine strategies for early diagnosis of autism spectrum disorders, differentiation from other development conditions in childhood, detection of specific biomarkers and early initiation of treatment.

Key words: Autistic spectrum disorder, Attention deficit hyperactivity disorder, Quantitative electroencephalography,

- Download FULL TEXT /PDF 604 KB/
Please cite this article in PubMed Style or AMA (American Medical Association) Style:
Dimitrov PD, Petrov P, Aleksandrov I, Dimitrov I, Mihailova M, Radkova G, Dimitrova R. Quantitative EEG comparative analysis between Autism spectrum disorder (ASD) and Attention deficit hyperactivity disorder (ADHD). J of IMAB. 2017 Jan-Mar;23(1):1441-1443. DOI: 10.5272/jimab.2017231.1441.

Correspondence to: Plamen D. Dimitrov, Clinic for Children Psychiatry, St. Marina University Hospital; 1, Hristo Smirnenski Blvd., 9010 Varna, Bulgaria; E-mail:

1. Center for Disease Control and Prevention. Prevalence of Autism Spectrum Disorders - Autism and Developmental Disabilities Monitoring Network, 14 Sites, United States, 2008. MMWR / March 30, 2012; 61(3):1-19 [Internet]
2. Attwood T. The Complete Guide to Asperger's Syndrome. 1st Edition. Jessica Kingsley Publishers. May 15, 2008; pp.23, 37, 45-87. [Internet] ISBN - 978-1-84310-669-2 
3. Hughes JR, John ER. Conventional and quantitative electroencephalography in psychiatry. J Neuropsychiatry Clin Neurosci. 1999 Spring;11(2):190-208. [PubMed]
4. Thatcher RW. EEG Database-guided neurotherapy. In: Introduction to Quantitative EEG and Neurofeedback. Edited by: Evans JR, Abarbanel A. 1st Edition. Academic Press, 1999; Part 1, Chapter 2:pp.29-64,  [CrossRef]
5. Jensen O, Gelfand J, Kounios J, Lisman JE. Oscillations in the alpha band (9-12 Hz) increase with memory load during retention in a short-term memory task. Cereb Cortex. 2002 Aug;12(8):877-82. [PubMed].

Received: 10 October 2016
Published online: 24 January 2017

back to Online Journal