Abstract
A population of children (mean age 6.05 years) with autistic spectrum disorders (ASDs) was divided into two groups depending on whether further development was supposed to be of an autistic type (AT) or to have a transition to a schizotypal type (SCH-T). Features of the baseline EEG spectral power (SP) were studied in the AT and SCH-T groups and a group of children with the schizophrenia spectrum disorders (SchSDs) in comparison with a group of normally developing children of the same age. The SPs of the θ and α rhythms in the anterior cortex were higher than normal in the SCH-T and AT groups, while the α-rhythm SP in the posterior cortex was decreased. The AT group displayed lower activities of the θ and α rhythms, especially in the posterior regions. The α-rhythm SPs in the occipital regions were reduced in all test groups. A right predominance of the α rhythm was observed in two groups, SchSD and SCH-T. An increased representation of the γ rhythm in the frontal-central and temporal regions was observed in the AT group. The heterogeneity of the groups of children with ASDs was presumably associated with a transition from ASD to SchSD, and possible predictors of this transition are discussed.




Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.REFERENCES
Iovchuk, N.M. and Severnyi, A.A., Current problems in the diagnosis of autism, Psikhol. Nauka Obraz., 2013, no. 5, p. 91.
Bashina, V.M., Autizm v detstve (Autism in Childhood), Moscow: Meditsina, 1999.
Tiganov, A.S. and Bashina, V.M., Modern approaches to understanding autism in childhood, Zh. Nevropatol. Psikhiatr. im. S.S. Korsakova, 2005, no. 8, p. 4.
King, B.H. and Lord, C., Is schizophrenia on the autism spectrum? Brain Res., 2011, vol. 1380, p. 34.
Shopler, E., Lansing, M.D., and Waters, L., Teaching Activities for Autistic Children, Vol. 3: Individualized Assessment and Treatment for Autistic and Developmentally Disabled Children, Baltimore MD: Univ. Park Press, 1982.
Yang, D., Pelphrey, K.A., Sukhodolsky, D.G., et al., Brain responses to biological motion predict treatment outcome in young children with autism, Transl. Psychiatry, 2016, vol. 6, no. 11. https://doi.org/10.1038/tp.2016.213
Simashkova, N.V., Klyushnik, T.P., Yakupova, L.P., and Koval’-Zaitsev, A.A., Autism spectrum disorders: multidisciplinary clinical-biological approaches to diagnostics and therapy, Psikhiatriya, 2013, vol. 60, no. 4, p. 5.
Bosl, W.J., Tager-Flusberg, H., and Nelson, C.A., EEG analytics for early detection of autism spectrum disorder: a data-driven approach, Sci. Rep., 2018, vol. 1, no. 8. https://doi.org/10.1038/s41598-018-24318-x
Lushchekina, E.A., Lushchekin, V.S., and Strelets, V.B., Bioelectric brain activity in children with autistic spectrum disorders: population heterogeneity, Hum. Physiol., 2018, vol. 44, no. 4, p. 386.
Lushchekina, E.A., Khaerdinova, O.Yu., Lushchekin, V.S., and Strelets, V.B., Interhemispheric differences in the spectral power and coherence of EEG rhythms in children with autism spectrum disorders, Hum. Physiol., 2017, vol. 43, no. 3, p. 265.
Fehr, T., Kissler, J., Moratti, S., et al. Source distribution of neuromagnetic slow waves and MEG-delta activity in schizophrenic patients, Biol. Psychiatry, 2001, vol. 2, no. 50, p. 108.
Harris, A., Melkonian, D., Williams, L., and Gordon, E., Dynamic spectral analysis findings in first episode and chronic schizophrenia, Int. J. Neurosci., 2006, no. 116, p. 223.
Boutros, N.N., Arfken, C., Galderisi, S., et al., The status of spectral EEG abnormality as diagnostic test for schizophrenia, Schizophr. Res., 2008, vol. 99, nos. 1–3, p. 225.
Hong, L.E., Summerfelt, A., Mitchell, B.D., et al., A shared low-frequency oscillatory rhythm abnormality in resting and sensory gating in schizophrenia, Clin. Neurophysiol., 2012, vol. 123, no. 2, p. 285.
Garakh, Z., Zaytseva, Y., Kapranova, A., et al., EEG correlates of a mental arithmetic task in patients with first episode schizophrenia and schizoaffective disorder, Clin. Neurophysiol., 2015, vol. 126, no. 11, p. 2090.
Strelets, V.B., Brain biopotential mapping in emotional and cognitive pathology, Zh. Vyssh. Nervn. Deyat. im. I.P. Pavlova, 1997, vol. 47, no. 2, p. 226.
Fenton, G.W., Fenwick, P.B., Dollimore, J., et al., EEG spectral analysis in schizophrenia, Br. J. Psychiatry, 1980, vol. 136, no. 5, p. 445.
Sponheim, S.R., Clementz, B.A., Iacono, W.G., and Beiser, M., Clinical and biological concomitants of resting state EEG power abnormalities in schizophrenia, Biol. Psychiatry, 2000, vol. 48, no. 11, p. 1088.
Kaplan, A.Ya., Borisov, S.V., and Zheligovskii, V.A., Classification of EEG of adolescents by spectral and segmental characteristics in norm and in disorders of schizophrenic spectrum, Zh. Vyssh. Nervn. Deyat. im. I.P. Pavlova, 2005, vol. 55, no. 4, p. 478.
Borisov, S.V., Kaplan, A.Ya., Gorbachevskaya, N.L., and Kozlova, I.A., Analysis of EEG structural synchrony in adolescents with schizophrenic disorders, Hum. Physiol., 2005, vol. 31, no. 3, p. 255.
Lushchekina, E.A., Podreznaya, E.D., Lushchekin, V.S., et al., Characteristics of the Spectral Power of EEG rhythms in children with early childhood autism and their association with the development of different symptoms of schizophrenia, Neurosci. Behav. Physiol., 2013, vol. 43, no. 1, p. 40.
Stroganova, T., Orekhova, E., Tcetlin, M., et al., EEG evidences of aberrant brain functioning in young children with autism, Int. J. Psychophysiol., 2008, vol. 69, p. 203.
Yakupova, L.P. and Simashkova, N.V., Relationship of EEG failures with clinical features of autism spectrum disorders, Vestn. Sov. Molodykh Uch. Chelyab. Obl., 2016, vol. 3, no. 2, p. 134.
Gorbachevskaya, N.L., Mamokhina, U.A., Vershinina, N.V., et al., Specific EEG characteristics of patients with autism spectrum disorders, Psikhiatriya, 2018, vol. 78, no. 2, p. 48.
Strelets, V.B., Garakh, Zh.V., Novototskii-Vlasov, V.Yu., and Magomedov, R.A., Relationship between EEG power and rhythm synchronization in health and cognitive pathology, Neurosci. Behav. Physiol., 2006, vol. 36, no. 6, p. 655.
Hazlett, H.C., Gu, H., Munsell, B.C., et al., Early brain development in infants at high risk for autism spectrum disorder, Nature, 2017, vol. 542, no. 7641, p. 348.
Thai, N.J., Longe, O., and Rippon, G., Disconnected brains: What is the role of fMRI in connectivity research? Int. J. Psychophysiol., 2009, vol. 73, no. 1, p. 27.
Roberts, T.P.L., Schmidt, G.L., Egeth, M., et al., Electrophysiological signatures: magnetoencephalographic studies of the neural correlates of language impairment in autism spectrum disorders, Int. J. Psychophysiol., 2008, no. 68, p. 149.
Tang, Y., Chen, K., Zhou, Y., et al., Neural activity changes in unaffected children of patients with schizophrenia: a resting-state fMRI study, Schizophr. Res., 2015, vol. 168, p. 360.
Tye, Ch., Mercure, E., Ashwood, K.L., et al., Neurophysiological responses to faces and gaze direction differentiate children with ASD, ADHD and ASD + ADHD, Dev. Cognit. Neurosci., 2013, vol. 5, p. 71.
Stroganova, T.A., Orekhova, E.V., and Galyuta, I.A., Attentional monotropism in children with autism, Eksp. Psikhol., 2014, vol. 7, no. 4, p. 66.
Crane, L., Goddard, L., and Pring, L., Sensory processing in adults with autism spectrum disorders, Autism, 2009, vol. 13, no. 3, p. 215.
Harrison, J. and Hare, D.J., Brief report: assessment of sensory abnormalities in people with autistic spectrum disorders, J. Autism Dev. Disord., 2004, vol. 34, no. 6, p. 727.
Wiggins, L.D., Robins, D.L., Bakeman, R., and Adamson, L.B., Brief report: sensory abnormalities as distinguishing symptoms of autism spectrum disorders in young children, J. Autism Dev. Disord., 2009, vol. 39, no. 7, p. 1087.
Author information
Authors and Affiliations
Corresponding author
Additional information
Translated by T. Tkacheva
Rights and permissions
About this article
Cite this article
Luschekina, E.A., Luschekin, V.S. & Strelets, V.B. EEG Spectral Power in Children with Autistic Spectrum Disorders: Heterogeneity of the Group. Hum Physiol 45, 242–248 (2019). https://doi.org/10.1134/S036211971902004X
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S036211971902004X