[go: up one dir, main page]

Skip to main content
Log in

EEG Coherence Study in Children with Autistic Spectrum Disorders: Heterogeneity of the Group

  • Published:
Human Physiology Aims and scope Submit manuscript

Abstract

From the total group of children (aged 4 years 5 months to 7 years 9 months; average age, 6 years 1 month) with autistic spectrum disorders (ASD), we selected two subgroups, in one of which further development was supposed to follow the schizotypal type (ST group), and the other group was expected to develop according to the autistic type (AT group). We found multidirectional changes in the coherence of paired connections of the cerebral cortex. The greatest changes in comparison with the norm were observed in the AT group: in most of the studied rhythms, the increase in interhemispheric coherence was observed in the occipital and occipitocentral regions and its decrease, in the frontal divisions; intrahemispheric coherence increases more in the right hemisphere and decreases more markedly in the left hemisphere. The most significant changes in coherence in the AT group were found at the θ- and γ-rhythm frequencies in the speech area (T3T5). In the ST group, changes in the direction of increasing interhemispheric and intrahemispheric connections are more pronounced than in the direction of their reduction. Coherence changes are more salient in the AT group than in the ST group, apparently due to an earlier manifestation of developmental pathology in autism than in schizophrenia. The findings are discussed from the perspective of the theory of two alternative approaches, hyper- and hypoconnectivity, as ASD markers.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

REFERENCES

  1. Duffy, F.H., Shankardass, A., McAnulty, G.B., et al., The relationship of Asperger’s syndrome to autism: a preliminary EEG coherence study, BMC Neurol., 2013, vol. 11, p. 175.

    Google Scholar 

  2. Duffy, F.H. and Als, H., Autism, spectrum or clusters? An EEG coherence study, BMC Neurol., 2019, vol. 19, no. 1, p. 27.

    Article  Google Scholar 

  3. King, B.H. and Lord, C., Is schizophrenia on the autism spectrum? Brain Res., 2011, vol. 1380, p. 34.

    Article  CAS  Google Scholar 

  4. Iovchuk, N.M. and Severnyi, A.A., Modern problems of diagnostics of autism, Psikhol. Nauka Obraz., 2013, no. 5, p. 91.

  5. Luschekina, E.A., Luschekin, V.S., and Strelets, V.B., EEG spectral power in children with autistic spectrum disorders: heterogeneity of the group, Hum. Physiol., 2019, vol. 45, no. 3, p. 242.

    Article  Google Scholar 

  6. 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.

    Article  Google Scholar 

  7. Livanov, M.N., Prostranstvennaya organizatsiya protsessov golovnogo mozga (Spatial Organization of Brain Processes), Moscow: Nauka, 1972.

  8. 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.

    Article  CAS  Google Scholar 

  9. Iznak, A.F., Disorders of the structural and functional organization of the brain in schizophrenia, Psikhiatriya, 2008, vol. 33, no. 3, p. 25.

    Google Scholar 

  10. Arruda, G.F., Costa, L.F., Schubert, D., and Rodrigues, F.A., Structure and dynamics of functional networks in child-onset schizophrenia, Clin. Neurophysiol., 2014, vol. 125, p. 1589.

    Article  Google Scholar 

  11. Kulaichev, A.P., Gorbachevskaya, N.L., Goryunov, A.V., et al., Deviation in parameters of bioelectric activity synchronicity on EEG of healthy children and adolescents and with schizophrenia, Zh. Nevropatol. Psikhiatr. im. S.S. Korsakova, 2012, vol. 112, no. 12, p. 55.

    CAS  Google Scholar 

  12. Gurau, O., Bosl, W.J., and Newton, C.R., How useful is electroencephalography in the diagnosis of autism spectrum disorders and the delineation of subtypes: a systematic review, Front. Psychiatry, 2017, vol. 8, no. 121, p. 1.

    Article  Google Scholar 

  13. Gorbachevskaya, N.L. and Mitrofanov, A.A., The role of quantitative electroencephalogram analysis in child psychiatry, Med. Alfavit, 2008, no. 4, p. 13.

  14. Henshall, K.R., Sergejew, A.A., Colette, G.R., et al., Interhemispheric EEG coherence is reduced in auditory cortical regions in schizophrenia patients with auditory hallucinations, Int. J. Psychophysiol., 2013, vol. 89, no. 1, p. 63.

    Article  Google Scholar 

  15. Pascual-Belda, A., Díaz-Parra, A., and Moratal, D., Evaluating functional connectivity alterations in autism spectrum disorder using network-based statistics, Diagnostics, 2018, vol. 8, no. 51, p. 1.

    Article  Google Scholar 

  16. Boutros, N.N., Lajiness-O’Neill, R., Zillgitt, A., et al., EEG changes associated with autistic spectrum disorders, Neuropsychiatric Electrophysiol., 2015, vol. 1, no. 3. https://doi.org/10.1186/s40810-014-0001-5

  17. Matlis, S., Boric, K., Chu, C.J. et al. Robust disruptions in electroencephalogram cortical oscillations and large-scale functional networks in autism, BMC Neurol., 2015, vol. 15, p. 95.

    Article  Google Scholar 

  18. Shephard, E., Tye, C., Ashwood, K.L., et al., Resting-state neurophysiological activity patterns in young people with ASD, ADHD, and ASD + ADHD, J. Autism Dev. Disord., 2018, vol. 48, no. 1, p. 110.

    Article  Google Scholar 

  19. Moseley, R.L., Ypma, R.J.F., Holt, R.J., et al., Whole-brain functional hypoconnectivity as an endophenotype of autism in adolescents, NeuroImage: Clin., 2015, vol. 9, p. 140.

    Article  CAS  Google Scholar 

  20. Schwartz, S., Kessler, R., Gaughan, T., and Buckley, A.W., Electroencephalogram coherence patterns in autism: an updated review, Pediatr. Neurol., 2017, vol. 67, p. 7.

    Article  Google Scholar 

  21. 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.

    Article  Google Scholar 

  22. Lefebvre, A., Delorme, R., Delanoë, K., et al., Alpha waves as a neuromarker of autism spectrum disorder: the challenge of heterogeneity and reproducibility, Front. Neurosci., 2018, vol. 12, p. 662.

    Article  Google Scholar 

  23. Dickinson, A., DiStefano, C., Lin, Y.-Y., and Scheffler, A.W., Interhemispheric alpha-band hypoconnectivity in children with autism spectrum disorder, Behav. Brain Res., 2018, vol. 348, p. 227.

    Article  Google Scholar 

  24. Orekhova, E.V., Elsabbagh, M., Jones, E.J.H., Johnson, M.H., et al., EEG hyper-connectivity in high-risk infants is associated with later autism, J. Neurodev. Disord., 2014, vol. 6, no. 1, p. 40.

    Article  Google Scholar 

  25. Blagosklonova, N.K. and Novikova, L.A., Detskaya klinicheskaya elektroentsefalografiya (Children’s Clinical EEG), Moscow: Meditsina, 1994.

  26. Askari, E., Setarehdan, S.K., Sheikhani, A., et al., Computational model for detection of abnormal brain connections in children with autism, J. Integr. Neurosci., 2018, vol. 17, no. 3, p. 237.

    Article  Google Scholar 

  27. Shou, G., Mosconi, M.W., Wang, J., et al., Electrophysiological signatures of atypical intrinsic brain connectivity networks in autism, J. Neural Eng., 2017, vol. 14, no. 4, p. 046010.

    Article  Google Scholar 

  28. Pineda, J.A., Juavinett, A., and Datko, M., Self-regulation of brain oscillations as a treatment for aberrant brain connections in children with autism, Neuropsychology, 2012, vol. 79, no. 6, p. 790.

    CAS  Google Scholar 

  29. Herbert, M.R., Ziegler, D.A., Makris, N., et al., Localization of white matter volume increase in autism and developmental language disorder, Ann. Neurol., 2004, vol. 55, no. 4, p. 530.

    Article  Google Scholar 

  30. Just, M., Keller, T., Malave, V.L., et al., Autism as a neural systems disorder: a theory of frontal-posterior underconnectivity, Neurosci. Biobehav. Rev., 2012, vol. 36, no. 4, p. 1292.

    Article  Google Scholar 

  31. Murias, M., Webb, S.J., Greenson, J., and Dawson, G., Resting state cortical connectivity reflected in EEG coherence in individuals with autism, Biol. Psychiatry, 2007, vol. 62, no. 3, p. 270.

    Article  Google Scholar 

  32. Catarino, A., Andrade, A., Churches, O., et al., Task-related functional connectivity in autism spectrum conditions: an EEG study using wavelet transform coherence, Mol. Autism., 2013, vol. 4, no. 1, p. 1.

    Article  Google Scholar 

  33. Carson, A.M., Salowitz, N.M., Scheidt, R.A., et al., Electroencephalogram coherence in children with and without autism spectrum disorders: decreased interhemispheric connectivity in autism, Autism Res., 2014, vol. 7, no. 3, p. 334.

    Article  Google Scholar 

  34. Yerys, B.E., Birkan, T., Satterthwaite, T.D., et al., Functional connectivity of fronto-parietal and salience/ventral attention networks has independent associations with co-occurring ADHD symptoms in children with autism, Biol. Psychiatry: Cognit. Neurosci. Neuroimaging, 2019, no. 4, no. 4, p. 343.

  35. 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.

    Article  Google Scholar 

  36. Fishman, I., Linke, A., and Hau, J., Atypical functional connectivity of amygdala related to reduced symptom severity in children with autism, J. Am. Acad. Child Adolesc. Psychiatry, 2018, vol. 57, no. 10, p. 764.

    Article  Google Scholar 

  37. Loth, E., Garrido, L., Ahmad, J., et al., Facial expression recognition as a candidate marker for autism spectrum, Mol. Autism, 2018, vol. 9, no. 7. https://doi.org/10.1186/s13229-018-0187-7

  38. Han, Y.M. and Chan, A.S., Disordered cortical connectivity underlies the executive function deficits in children with autism spectrum disorders, Res. Dev. Disabil., 2017, vol. 61, p. 19.

    Article  Google Scholar 

  39. Iznak, A.F., Iznak, E.V., and Mel’nikova, T.S., EEG coherence parameters as a reflection of brain neuroplasticity in mental pathology (literature review), Psikhiatriya, 2018, vol. 78, p. 127.

    Article  Google Scholar 

  40. Coben, R., Barry, R., Hudspeth, W., and Barry, R.J., EEG power and coherence in autistic spectrum disorder, Clin. Neurophysiol., 2008, vol. 119, no. 5, p. 1002.

    Article  Google Scholar 

  41. Elhabashy, H., Raafat, O., Afifi, L., et al., Quantitative EEG in autistic children, Egypt. J. Neurol. Psychiatry Neurosurg., 2015, vol. 52, no. 3, p. 176.

    Article  Google Scholar 

  42. Magomedov, R.A., Garakh, Zh.V., Orekhov, Yu.V., et al., Gamma rhythm, positive, negative symptoms and cognitive dysfunction in schizophrenia, Zh. Nevropatol. Psikhiatr. im. S.S. Korsakova, 2010, vol. 101, no. 1, p. 78.

    Google Scholar 

  43. 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.

    Article  Google Scholar 

  44. 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, no. 1, p. 360.

    Article  Google Scholar 

  45. 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.

    Article  CAS  Google Scholar 

  46. 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.

    Article  Google Scholar 

  47. Simashkova, N.V. and Klyushnik, T.P., Kliniko-biologicheskie aspekty rasstroistv autsticheskogo spektra (Clinical and Biological Aspects of Autistic Spectrum Disorders), Moscow: GEOTAR-Media, 2016.

Download references

Funding

The study was supported by the Russian Foundation for Basic Research (project no. 20-013-00395А) and the federal budget funds for the state assignment for 2019–2021 (project no. АААА-А17-117092040004-0).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to E. A. Luschekina.

Ethics declarations

COMPLIANCE WITH ETHICAL STANDARDS

All procedures performed in studies involving human participants were in accordance with the biomedical ethics principles formulated in the 1964 Helsinki Declaration and its later amendments and approved by the local bioethics commission of the Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences (Moscow). Protocol of the meeting of the Ethics Commission no. 3 of July 15, 2019.

INFORMED CONSENT

Each parent (legal representative) of the study participant provided a voluntary written informed consent signed by him after explaining to him the potential risks and benefits, as well as the nature of the upcoming study.

Additional information

Translated by E. Babchenko

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Luschekina, E.A., Luschekin, V.S. & Strelets, V.B. EEG Coherence Study in Children with Autistic Spectrum Disorders: Heterogeneity of the Group. Hum Physiol 47, 137–146 (2021). https://doi.org/10.1134/S0362119721020067

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0362119721020067

Keywords: