Abstract
Introduction. It is designated relevance of singling out of the effective electroencephalographic range reflecting cognitive deficiency at the children who had a perinatal ischemic stroke. It is necessary for the subsequent search for early markers of possible cognitive disturbances in later years. The scientific novelty of the study is in attempt of singling out of a neurophysiological correlate of cognitive deficiency at children with rare pathology of the central nervous system with use of the integrated approach including behavioral and equipment-specific methods.
Methods. In the section it is described peculiarities of using electroencephalographic techniques and Bayley-III scales for selection of a neurophysiological correlate of cognitive deficiency in the babyhood and childhood.
Results. The section includes data of statistical processing of a cognitive subscale of the Bailey-III technique and the analysis of the rescaled density of power spectrum of electroencephalographic ranges: beta2 (17–30 Hz) and gamma (30–40 Hz) in projections of prefrontal cortex. The beta2-band showed the greatest ratios with the indicators of the used subscale.
Results and discussion.
It is considered reasons of separation of the children with perinatal arterial ischemic strokes in a group of the high risk of the cognitive disfunction which can develop in course of time. We conclude about a possibility of singling out of beta2-band as the most effective indicator for a neurophysiological correlate of cognitive deficiency at the children who had a perinatal arterial ischemic stroke.
References
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Schutte I., Kenemans J. L., Schutter D. J. L. G. Resting-state theta/beta EEG ratio is associated with reward- and punishment-related reversal learning // Cognitive, Affective, & Behavioral Neuroscience. 2017. Vol. 17 (4). P. 754–763. doi: http://dx.doi.org/10.3758/s13415-017-0510-3
Basu A. P. Early intervention after perinatal stroke: opportunities and challenges // Developmental Medicine & Child Neurology. 2014. Vol. 56 (6). P. 516–521. doi: http://dx.doi.org/10.1111/dmcn.12407
Becher J.C., Bell J.E., Keeling J.W., McIntosh N., Wyatt B. The Scottish perinatal neuropathology study: Clinicopathological correlation in early neonatal deaths // Archives of Disease in Childhood – Fetal and Neonatal Edition. 2004. Vol. 89. F399–407. doi: http://dx.doi.org/10.1136/adc.2003.037606
Bennet L., Van Den Heuij L., M Dean J., Drury P., Wassink G., Jan Gunn A. Neural plasticity and the Kennard principle: does it work for the preterm brain? // Clinical and Experimental Pharmacology and Physiology. 2013. Vol. 40 (11). P. 774–784. doi: http://dx.doi.org/10.1111/1440-1681.12135
Brito N. H., Fifer W. P., Myers M. M., Elliott A. J., & Noble K. G. Associations among family socioeconomic status, EEG power at birth, and cognitive skills during infancy // Developmental Cognitive Neuroscience. 2016. Vol. 19. P. 144–151. doi: http://dx.doi.org/10.1016/j.dcn.2016.03.004
Cannon J., McCarthy M. M., Lee S., Lee J., Börgers C., Whittington M. A., & Kopell N. Neurosystems: brain rhythms and cognitive processing // European Journal of Neuroscience. 2013. Vol. 39 (5). P. 705–719. doi: http://dx.doi.org/10.1111/ejn.12453
Chen C.-Y., Georgieff M., Elison J., Chen M., Stinear J., Mueller B., Gillick B. Understanding Brain Reorganization in Infants With Perinatal Stroke Through Neuroexcitability and Neuroimaging // Pediatric Physical Therapy. 2017. Vol. 29 (2). P. 173–178. doi: http://dx.doi.org/10.1097/pep.0000000000000365
Ciccone S., Cappella M., Borgna-Pignatti C. Ischemic Stroke in Infants and Children: Practical Management in Emergency // Stroke Research and Treatment. 2011. Article ID 736965. doi: http://dx.doi.org/10.4061/2011/736965
Clinical recommendations: Diagnostics and tactics at a brain stroke in the conditions of the general medical practice, including primary and secondary prevention. Kazan, 2013 URL: www.roszdravnadzor.ru/i/upload/images/2015/9/17/1442485136.0604-1-23992.doc (date of the address: 19.08.2019).
de Vries L. S., Eken P., Groenendaal F., Rademaker K. J., Hoogervorst B., Bruinse H. W. Antenatal onset of haemorrhagic and/or ischaemic lesions in preterm infants: Prevalence and associated obstetric variables // Archives of Disease in Childhood – Fetal and Neonatal Edition. 1998. Vol. 78, Issue 1. doi: http://dx.doi.org/10.1136/fn.78.1.F51
Elsabbagh M., Volein A., Csibra G., Holmboe K., Garwood H., Tucker L., Krljes S., Baron-Cohen S., Bolton P., Charman T., Baird G., Johnson M. H. Neural Correlates of Eye Gaze Processing in the Infant Broader Autism Phenotype // Biological Psychiatry. 2009. Vol. 65 (1). P. 31–38. doi: http://dx.doi.org/10.1016/j.biopsych.2008.09.034
El-Sayed E., Larsson J. O., Persson H. E., Rydelius P. A. Altered cortical activity in children with attention-deficit/hyperactivity disorder during attentional load task // Journal of the American Academy of Child & Adolescent Psychiatry. 2002. Vol. 41, Issue 7. P. 811–819. doi: http://dx.doi.org/10.1097/00004583-200207000-00013
Filley C. M. History of Subcortical Cognitive Impairment // A History of Neuropsychology. 2019. Vol. 44. P. 108–117. doi: http://dx.doi.org/10.1159/000494958
Fluss J., Dinomais M., & Chabrier S. Perinatal stroke syndromes: similarities and diversities in aetiology, outcome and management // European Journal of Paediatric Neurology. 2019. Vol. 23, Issue 3, P. 368–383. doi: http://dx.doi.org/10.1016/j.ejpn.2019.02.013
Ganesan V., Hogan A., Shack N., Gordon A., Isaacs E., Kirkham F. J. Outcome after ischaemic stroke in childhood // Developmental Medicine & Child Neurology. 2000. Vol. 42, Issue 7. P. 455–461. doi: http://dx.doi.org/10.1017/s0012162200000852
Hajek C. A., Yeates K. O., Anderson V., Mackay M., Greenham M., Gomes A., & Lo W. Cognitive Outcomes Following Arterial Ischemic Stroke in Infants and Children // Journal of Child Neurology. 2013. Vol. 29 (7). P. 887–894. doi: http://dx.doi.org/10.1177/0883073813491828
Ilves N., Ilves P., Laugesaar R., Juurmaa J., Männamaa M., Lõo S, Talvik T. Resting-State Functional Connectivity and Cognitive Impairment in Children with Perinatal Stroke // Neural Plasticity. 2016. P. 1–11. doi: http://dx.doi.org/10.1155/2016/2306406
Jaillard S. M., Pierrat V., Dubois A., Truffert P., Lequien P., Wurtz A. J., & Storme L. Outcome at 2 years of infants with congenital diaphragmatic hernia: a population-based study // The Annals of Thoracic Surgery. 2003. Vol. 75 (1). P. 250–256. doi: http://dx.doi.org/10.1016/s0003-4975(02)04278-9
Kirton A., deVeber G. Life After Perinatal Stroke // Stroke. 2013. Vol. 44 (11). P. 3265–3271. doi: http://dx.doi.org/10.1161/strokeaha.113.000739
Koessler L., Maillard L., Benhadid A., Vignal J. P., Felblinger J., Vespignani H., Braun M. Automated cortical projection of EEG sensors: Anatomical correlation via the international 10–10 system // NeuroImage. 2009. Vol. 46 (1). P. 64–72. doi: http://dx.doi.org/10.1016/j.neuroimage.2009.02.006
Kolb B., Mychasiuk R., Williams P., Gibb R. Brain plasticity and recovery from early cortical injury // Developmental Medicine & Child Neurology. 2011. Vol. 53, Issue s4. P. 4–8. doi: http://dx.doi.org/10.1111/j.1469-8749.2011.04054.x
Kong A. H. T., Lai M. M., Finnigan S., Ware R. S., Boyd R. N., & Colditz P. B. Background EEG features and prediction of cognitive outcomes in very preterm infants: A systematic review // Early Human Development. 2018. Vol. 127. P. 74–84. doi: http://dx.doi.org/10.1016/j.earlhumdev.2018.09.015
Luu P., Ferree T. Determination of the HydroCel Geodesic Sensor Nets’ Average Electrode Positions and Their 10–10 International Equivalents // Technical Note. 2000. P. 1–5.
Lvova O.A., Kuznetsov N. N., Gusev V. V., Volkhina S.A. Epidemiology and an etiology of brain-strokes at infants //Neurology, neuropsychiatry, a psychosomatic medicine. 2013. Special issue 2. P. 50-55.
Marshall P. J., Bar-Haim Y., & Fox N. A. Development of the EEG from 5 months to 4 years of age // Clinical Neurophysiology. 2002. Vol. 113 (8). P. 1199–1208. doi: http://dx.doi.org/10.1016/s1388-2457(02)00163-3
Narogan M.V., Bychenko V.G., Ushakova L.V., Amirkhanova D.Yu., Ryumina I.I., Artamkina E.I., Degtyarev D.N., Aleksandrovsky A.V., Oryol I.V., Donnikov A.E., Kirtbaya A.R., Zubkov V.V. Perinatal arterial ischemic stroke: occurrence, diagnostics, options of a clinical progression, early disease outcomes // Pediatrics. 2019. Vol. 98 (2). P. 35-42. doi: http://dx.doi.org/10.24110/0031-403X-2019-98-2-35-42
Park J., Kim H., Sohn J.-W., Choi J., Kim S.-P. EEG Beta Oscillations in the Temporoparietal Area Related to the Accuracy in Estimating Others’ Preference // Frontiers in Human Neuroscience. 2018. Vol. 12. doi: http://dx.doi.org/10.3389/fnhum.2018.00043
Perone S., Gartstein M. A. Mapping cortical rhythms to infant behavioral tendencies via baseline EEG and parent-report // Developmental Psychobiology. 2019. Vol. 61, Issue 6. P. 815–823. doi: http://dx.doi.org/10.1002/dev.21867
Pierrat V., Marchand-Martin L., Arnaud C., Kaminski M., Resche-Rigon M., Lebeaux C. Neurodevelopmental outcome at 2 years for preterm children born at 22 to 34 weeks’ gestation in France in 2011: EPIPAGE-2 cohort study // BMJ. 2017. 358. j3448. doi: http://dx.doi.org/10.1136/bmj.j3448
Ramaswamy V., Miller S. P., Barkovich A. J., Partridge J. C., & Ferriero D. M. Perinatal stroke in term infants with neonatal encephalopathy // Neurology. 2004. Vol. 62 (11). P. 2088–2091. doi: http://dx.doi.org/10.1212/01.wnl.0000129909.77753.c4
Schutte I., Kenemans J. L., Schutter D. J. L. G. Resting-state theta/beta EEG ratio is associated with reward- and punishment-related reversal learning // Cognitive, Affective, & Behavioral Neuroscience. 2017. Vol. 17 (4). P. 754–763. doi: http://dx.doi.org/10.3758/s13415-017-0510-3