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Excess of high frequency electroencephalogram oscillations in boys with autism.

Journal article
Authors Elena V Orekhova
Tatiana A Stroganova
Gudrun Nygren
Marina M Tsetlin
Irina N Posikera
Christopher Gillberg
Mikael Elam
Published in Biological Psychiatry
Volume 62
Issue 9
Pages 1022-1099
ISSN 0006-3223
Publication year 2007
Published at Institute of Neuroscience and Physiology, Department of Clinical Neuroscience and Rehabilitation
Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry
Pages 1022-1099
Language en
Keywords Autistic Disorder, Diagnosis, Physiopathology, Beta Rhythm, Brain Mapping, Cerebral Cortex, Physiopathology, Child, Child, Preschool, Cortical Synchronization, Electroencephalography, Humans, Male, Russia, Statistics, Nonparametric
Subject categories Child and adolescent psychiatry


BACKGROUND: An elevated excitation/inhibition ratio has been suggested as one mechanism underpinning autism. An imbalance between cortical excitation and inhibition may manifest itself in electroencephalogram (EEG) abnormalities in the high frequency range. The aim of this study was to investigate whether beta and gamma range EEG abnormalities are characteristic for young boys with autism (BWA). METHODS: EEG was recorded during sustained visual attention in two independent samples of BWA from Moscow and Gothenburg, aged 3 to 8 years, and in age matched typically developing boys (TDB). High frequency EEG spectral power was analyzed. RESULTS: In both samples, BWA demonstrated a pathological increase of gamma (24.4-44.0 Hz) activity at the electrode locations distant from the sources of myogenic artefacts. In both samples, the amount of gamma activity correlated positively with degree of developmental delay in BWA. CONCLUSIONS: The excess of high frequency oscillations may reflect imbalance in the excitation-inhibition homeostasis in the cortex. Given the important role of high frequency EEG rhythms for perceptual and cognitive processes, early and probably genetically determined abnormalities in the neuronal mechanisms generating high frequency EEG rhythms may contribute to development of the disorder. Further studies are needed to investigate the specificity of the findings for autism.

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