FORECASTING CAUSED BY KOZYAVKIN© METHOD CHANGES IN HAND FUNCTION PARAMETERS IN CHILDREN WITH SPASTIC FORM OF CEREBRAL PALSY AT THEIR BASELINE LEVELS AS WELL AS EEG, HRV AND GDV

Authors

  • O. V. Kozyavkina International Clinic of Rehabilitation, Truskavets
  • N. V. Kozyavkina International Clinic of Rehabilitation, Truskavets
  • M. S. Hordiyevych International Clinic of Rehabilitation, Truskavets
  • T. V. Voloshyn International Clinic of Rehabilitation, Truskavets
  • V. L. Lysovych International Clinic of Rehabilitation, Truskavets
  • V. Y. Babelyuk Clinical Sanatorium “Moldova”, Truskavets
  • H. I. Dubkova Clinical Sanatorium “Moldova”, Truskavets
  • T. A. Korolyshyn Clinical Sanatorium “Moldova”, Truskavets O. Bohomolets Institute of Physiology of National Academy of Sciences, Kyiv
  • D. V. Popovych I. Horbachevsky Ternopil State Medical University
  • I. R. Mysula I. Horbachevsky Ternopil State Medical University
  • N. I. Sydliaruk I. Horbachevsky Ternopil State Medical University
  • W. Zukow Nicolaus Copernicus University, Torun, Poland
  • I. L. Popovych International Clinic of Rehabilitation, Truskavets O. Bohomolets Institute of Physiology of National Academy of Sciences, Kyiv

DOI:

https://doi.org/10.11603/1811-2471.2018.v0.i4.9732

Keywords:

Cerebral palsy, Dynamometry, Box and Block Test, Nine Hole Peg Test, Neural, Elastic and Viscous components of Muscle Tone, EEG, HRV, GDV, Intensive Neurophysiological Rehabilitation System by Kozyavkin© method

Abstract

Earlier we reported that in children with spastic forms of cerebral palsy (SFCP) after two-week course of rehabilitation by Kozyavkin© method the hand function tests changed ambiguously (in 11 children out of 14 were improved, but in 3 worsened), and these changes were accompanied by a variety changes in a number parameters of EEG, HRV and gas-discharge visualization (GDV).

The aim of this study – to identify the peculiarities of changes in the parameters of EEG, HRV and GDV in children with favorable and unfavorable changes in the parameters of the functions of the hands as well as to find out the possibility of predicting the direction of changes in motor function of the hands on the set of initial parameters of the organism.

Material and Methods. The object of observations were 14 children (6 girls and 8 boys) aged 8–15 years with SFCP. State motor development at GMFCS was on II–IV level. Functional status of the hand with MACS was at II–III level. The estimation of hand function carried out by Dynamometry (D), Box and Block Test (BB) and Nine Hole Peg Test (NHP). We registered also components of muscle tone by device “NeuroFlexor” (Aggero MedTech AB, Sweden), HRV and EEG parameters simultaneosly by hardware-software complex “Cardiolab+VSR” and “NeuroCom Standard” respectively (KhAI Medica, Kharkiv, Ukraine) as well as GDV parameters by “GDV Chamber” (“Biotechprogress”, St-Pb, RF).

Results. Using the method of discriminant analysis, 18 parameters were identified, the totality of which the initial state of children and their state after the various consequences of rehabilitation are significantly different from each other. It was found that prognostication by gender, the MACS scale, the BB test of the left hand and the viscous component of muscle tone, despite the uncertainty, is still not sufficiently reliable (the square of Mahalanobis distance D2M between the clusters is 6,85; p=0,208). Instead, a discriminant model based on 7 parameters of the EEG and ULF power band of HRV is quite reliable (D2M=116; p=0,011). Additional inclusion in the model the parameter of GDV leads to a further increase in the reliability of the forecast (D2M=222; p=0,011), which reaches the maximum with the consideration of the BB test of the right hand (D2M=262; p=0,002).

Conclusion. The character of the changes in the parameters of the motor function of the hands due to the course of rehabilitation by Kozyavkin© method is conditioned both by their initial level and by the set of parameters of EEG, HRV and GDV and is subject to reliable prediction.

References

Kozyavkin V. I. The system of intensive neurophy­siological rehabilitation / V. I. Kozyavkin // Medical Hydro­logy and Rehabilitation. – 2003. – Vol. 1 (2). – P. 63–67.

Basics of rehabilitation of motor disfunctions by Kozyavkin method / V. I. Kozyavkin, N. M. Sak, O. O. Kach­mar, M. O. Babadahly. – L.: Ukrainian technologies, 2007. – 192 p.

Intensive neurophysiological rehabilitation system – the Kozyavkin method / V. I. Kozyavkin, M. O. Babadahly, H. P. Lun [et al.] // A manual for Rehabilitation Specialists. – L.: “Papuga” Publishing Hous, 2012. – 240 p.

Estimation of effectivenes of spine biomechanical correction Kozyavkin method (INRS) in children with spastic form of cerebral palsy / V. I. Kozyavkin, O. V. Kozyavkina, N. V. Kozyavkina [et al.] // Journal of Education, Health and Sport. – 2015. – Vol. 5 (2). – P. 208–217.

Effect of spine biomechanical correction Kozyav­kin’s method (INRS) on components of muscle tone in children with spastic form of Cerebral Palsy and its possible prediction / V. I. Kozyavkin, N. V. Kozyavkina, O. V. Kozyav­kina [et al.] // Journal of Education, Health and Sport. – 2015. – Vol. 5 (1). – P. 11–30.

Kachmar O. Changes in muscle spasticity in patients with cerebral palsy after spinal manipulation: Case series / O. Kachmar, T. Voloshyn, M. Hordiyevych // J. Chiropr. Med. – 2016. – Vol. 15. – P. 299–304.

Relationships between caused by Kozyavkin© method changes in parameters of manual function and electroencephalogram, heart rate variability as well as gas discharge visualization in children with spastic form of cerebral palsy / V. Y. Babelyuk, H. I. Dubkova, T. A. Korolyshyn [et al.] // Journal of Education, Health and Sport. – 2018. – Vol. 8 (4). – P. 159–194.

Relationships between changes in parameters of manual function and electroencephalogram, heart rate variability as well as gas discharge visualization in children with spastic form of cerebral palsy caused by Kozyavkin© method / I. L. Popovych, V. Y. Babelyuk, H. I. Dubkova [et al.] // Experimental and Clinical Physiology and Bioche­mistry. – 2018. – Vol. 1 (81). – P. 39–50.

Caused by Kozyavkin© method changes in hand function parameters in children with spastic form of cerebral palsy and their EEGs, HRVs and GDVs accompaniments/ O. V. Kozyavkina, N. V. Kozyavkina, Т. B. Voloshyn [et al.] // Journal of Education, Health and Sport. – 2018. – Vol. 8 (10). – P. 11–30.

Development and validation of item sets to improve efficiency of administration of the 66-item Gross Motor Function Measure in children with cerebral palsy / D. J. Russell, L. M. Avery, S. D. Walter [et al.] // Dev. Med. Child. Neur. – 2010. – Vol. 52 (2). – P. 48–54.

The manual ability classification system (MACS) for children with cerebral palsy: scale development and evidence of validity and rehabilitee / A. C. Eliasson, S. L. Krumlinde, B. Rösblad [et al.] // Dev. Med. Child. Neur. – 2006. – Vol. 48. – P. 549–554.

Lafayette Instrument Hand Dynamometer: User instructions. – 10 p.

Mathiowetz V. Box and Block Test of Manual Dexte­rity: Norms for 6-19 Year Olds / V. Mathiowetz, S. Federman, D. Wiemer // Canad. J. Occup. Ther. – 1985. – Vol. 52 (5). – P. 241–245.

Measuring Dexterity in Children using the Nine Hole Peg Test / J. L. Poole, P. A. Burtner, T. A. Torres [et al.] // J. Hand Ther. – 2005. – Vol. 18 (3). – P. 348–351.

Assessing dexterity function: A comparison of two alternatives for the NIH toolbox / Y. C. Wang, S. R. Magasi, R. W. Bohannon [et al.] // J. Hand Ther. – 2011. – Vol. 24 (4). – P. 313–321.

Validation of a new biomechanical model to measure muscle tone in spastic muscles / P. G. Lindberg, J. Gäverth, M. Islam [et al.] // Neurorehabil. Neural Repair. – 2011. – Vol. 25 (7). – P. 617–625.

Test-retest and inter-rater reliability of a method to measure wrist and finger spasticity / J. Gäverth, M. Sandgren, P. G. Lindberg [et al.] // J. Rehabil. Med. – 2013. – Vol. 45 (7). – P. 630–636.

Sensitivity of the NeuroFlexor method to measure change in spasticity after treatment with botulinum toxin A in wrist and finger muscles / J. Gäverth, A.Ch. Eliasson, K. Kullander [et al.] // J. Rehabil. Med. – 2014. – Vol. 46 (7). – P. 629–634.

Muscular tone components and methods of quantita­tive measurement of spasticity / V. I. Kozyavkin, O. O. Kach­mar, Т. B. Voloshyn, М. S. Hordiyevych // J. of Neuroscience of BM Mankovskyi. – 2015. – Vol. 3 (1). – P. 72–76.

Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Task Force of ESC and NASPE // Circulation. – 1996. – Vol. 93 (5). – P. 1043–1065.

Heart rate variability: Origines, methods, and inter­pretive caveats / G. G. Berntson, J. T. Bigger jr, D. L. Eckberg [et al.] // Psychophysiology. – 1997. – Vol. 34. – P. 623–648.

Баевский Р. М. Изменчивость сердечного ритма: теоретические аспекты и возможности клиничес­кого применения / Р. М. Баевский, Г. Г. Иванов // Ультразвуковая и функциональная диагностика. – 2001. – Vol. 3. – P. 106–127.

Application of electrophoton capture (EPC) analysis based on gas discharge visualization (GDV) technique in medicine. A systematic review / K. G. Korotkov, P. Mat­rauers, D. V. Orlov, B. O. Williams // J. Altern. Complement Med. – 2010. – Vol. 16 (1). – P. 13–25.

Causal relationships between the parameters of gas discharge visualization and principal neuroendocrine factors of adaptation / V. E. Babelyuk, A. I. Gozhenko, G. I. Dub­kova [et al.] // Journal of Physical Education and Sport. – 2017. – Vol. 17 (2). – P. 624–637.

Modulating effects of bioactive water Naftussya from layers Truskavets’ and Pomyarky on some metabolic and biophysic parameters at humans with dysfunction of neuro-endocrine-immune complex / A. I. Gozhenko, N. O. Sy­doruk, V. Ye. Babelyuk [et al.] // Journal of Education, Health and Sport. – 2016. – Vol. 6 (12). – P. 826–842.

Klecka W. R. Discriminant Analysis [transl. back to Russian from English] (Seventh Printing, 1986). In: Factor, Discriminant and Cluster Analysis / W. R. Klecka. – Moscow: Finansy i Statistika. – 1989. – P. 78–138.

REFERENCES

Kozyavkin, V.I. (2003). The system of intensive neurophysiological rehabilitation. Medical Hydrology and Rehabilitation, 1 (2), 63-67.

Kozyavkin, V.I., Sak, N.M., Kachmar, O.O., & Baba­dahly, M.O. (2007). Basics of Rehabilitation of Motor Dis­functions by Kozyavkin method. Lviv: Ukrainian technologies.

Kozyavkin, V.I., Babadahly, M.O., Lun, H.P., Kach­mar, O.O., Hordiyevych, S.M., Lysovych, V.I., & Voloshyn, B.D. (2012). Intensive Neurophysiological Rehabilitation System – the Kozyavkin method. A manual for Rehabilitation Specia­lists. Lviv: “Papuga” Publishing Hous.

Kozyavkin, V.I., Kozyavkina, O.V., Kozyavkina, N.V., Gordiyevych, M.S., Lysovych, V.I., Voloshyn, T.V., … & Popo­vych, I.L. (2015). Estimation of effectivenes of spine biomechanical correction Kozyavkin method (INRS) in child­ren with spastic form of cerebral palsy. Journal of Education, Health and Sport, 5 (2), 208-217.

Kozyavkin, V.I., Kozyavkina, N.V., Kozyavkina, O.V., Gordiyevych, M.S., Lysovych, V.I., Voloshyn, … & Zukow, W. (2015). Effect of spine biomechanical correction Kozyav­kin’s method (INRS) on components of muscle tone in child­ren with spastic form of Cerebral Palsy and its possible prediction. Journal of Education, Health and Sport, 5 (1), 11-30.

Kachmar, O., Voloshyn, T., & Hordiyevych, M. (2016). Changes in Muscle Spasticity in Patients With Cerebral Palsy After Spinal Manipulation: Case Series. J. Chiropr. Med., 15, 299-304.

Babelyuk, V.Y., Dubkova, H.I., Korolyshyn, T.A., Mysula, I.R., Popovych, D.V., Popovych, I.L., & Zukow, W. (2018). Relationships between caused by Kozyavkin© method changes in parameters of manual function and electroencephalogram, heart rate variability as well as gas discharge visualization in children with spastic form of cerebral palsy. Journal of Education, Health and Sport, 8 (4), 159-194.

Popovych, I.L., Babelyuk, V.Y., Dubkova, H.I., Korolyshyn, T.A., & Zukow, W. (2018). Relationships between changes in parameters of manual function and electroencephalogram, heart rate variability as well as gas discharge visualization in children with spastic form of cerebral palsy caused by Kozyavkin© method. Experimental and Clinical Physiology and Biochemistry, 1 (81), 39-50.

Kozyavkina, O.V., Kozyavkina, N.V., Voloshyn, Т.B., Hordiyevych, М.S., Lysovych, V.I., Babelyuk, … & Popo­vych, I.L. (2018). Caused by Kozyavkin© method changes in hand function parameters in children with spastic form of cerebral palsy and their EEGs, HRVs and GDVs accompaniments. Journal of Education, Health and Sport, 8 (10), 11-30.

Russell, D.J., Avery, L.M., Walter, S.D., Hanna, S.E., Bartlett, D.J., Rosenbaum, P.L., … & Gorter, J.W. (2010). Development and validation of item sets to improve efficiency of administration of the 66-item Gross Motor Function Measure in children with cerebral palsy. Dev. Med. Child Neur., 52 (2), 48-54.

Eliasson, A.C., Krumlinde, S.L., Rösblad, B., Beckund, E., Arner, M., Öhrvall, A.M., & Rosenbaum, P. (2006). The Manual Ability Classification System (MACS) for child­ren with cerebral palsy: scale development and evidence of validity and rehabilitee. Dev. Med. Child Neur., 48, 549-554.

Lafayette Instrument Hand Dynamometer. User instructions: 10 p.

Mathiowetz, V., Federman, S., & Wiemer, D. (1985). Box and Block Test of Manual Dexterity: Norms for 6-19 Year Olds. Canad. J. Occup. Ther., 52 (5), 241-245.

Poole, J.L., Burtner, P.A., Torres, T.A., McMullen, C.K., Markham, A., Marcum, M.L., … & Qualls, C. (2005). Mea­suring Dexterity in Children using the Nine Hole Peg Test. J. Hand Ther., 18 (3), 348-351.

Wang, Y.C., Magasi, S.R., Bohannon, R.W., Reu­ben, D.B., McCreath, H.E., Bubela, D.J., … & Rymer, W.Z. (2011). Assessing dexterity function: A comparison of two alter­natives for the NIH toolbox. J. Hand Ther., 24 (4), 313-321.

Lindberg, P.G., Gäverth, J., Islam, M., Fagergren, A., Borg, J., & Forssberg, H. (2011). Validation of a new biomechanical model to measure muscle tone in spastic muscles. Neurorehabil. Neural Repair., 25 (7), 617-625.

Gäverth, J., Sandgren, M., Lindberg, P.G., Forssberg, H., & Eliasson, A.Ch. (2013). Test-retest and inter-rater reliability of a method to measure wrist and finger spasticity. J Rehabil. Med., 45 (7), 630-636.

Gäverth, J., Eliasson, A.Ch., Kullander, K., Jörgen, B., Lindberg, P.G., & Forssberg, H. (2014). Sensitivity of the NeuroFlexor method to measure change in spasticity after treatment with botulinum toxin A in wrist and finger muscles. J. Rehabil. Med., 46 (7), 629-634.

Kozyavkin, V.I., Kachmar, O.O., Voloshyn, Т.B., & Hordiyevych, М.S. (2015). Muscular tone components and methods of quantitative measurement of spasticity. J. of Neuroscience of BM Mankovskyi, 3 (1), 72-76 [in Ukrainian].

Heart Rate Variability. (1996). Standards of Measurement, Physiological Interpretation, and Clinical Use Task Force of ESC and NASPE. Circulation, 93 (5), 1043-1065.

Berntson, G.G., Bigger, J.T.jr, Eckberg, D.L., Grossman, P., Kaufman, P.G., Malik, M., … & Van der Molen, M.W. (1997). Heart Rate Variability: Origines, methods, and interpretive caveats. Psychophysiology, 34, 623-648.

Baevskiy, R.M., & Ivanov, G.G. (2001). Izmenchivost serdechnogo ritma: teoreticheskie aspekty i vozmozhnosti klincheskogo primeneniya [Heart rate variability: theoretical aspects and possibilities of clinical application]. Ultrazvukovaya i funktsionalnaya diagnostika – Ultrasound and Functional Diagnostics, 3, 106-127 [in Russian].

Korotkov, K.G., Matrauers, P., Orlov, D.V., & Williams, B.O. (2010). Application of electrophoton capture (EPC) analysis based on gas discharge visualization (GDV) technique in medicine. A systematic review. J. Altern. Complement. Med., 16 (1), 13-25.

Babelyuk, V.E., Gozhenko, A.I., Dubkova, G.I., Babelyuk, N.V., Zukow, W., Kovbasnyuk, M.M., & Popovych, I.L. (2017). Causal relationships between the parameters of gas discharge visualization and principal neuroendocrine factors of adaptation. Journal of Physical Education and Sport, 17 (2), 624-637.

Gozhenko, A.I., Sydoruk, N.O., Babelyuk, V.Ye., Dub­kowa, G.I., Flyunt, V.R., Hubyts’kyi, V.Yo., … & Popovych, I.L. (2016). Modulating effects of bioactive water Naftussya from layers Truskavets’ and Pomyarky on some metabolic and biophysic parameters at humans with dysfunction of neuro-endocrine-immune complex. Journal of Education, Health and Sport., 6 (12), 826-842.

Klecka, W.R. (1989). Discriminant Analysis [transl. from En.] (Seventh Printing, 1986). In: Factor, Discriminant and Cluster Analysis. Moscow: Finansy i Statistika, p. 78-138 [in Russian].

Published

2019-01-22

Issue

Section

Original research articles

How to Cite

FORECASTING CAUSED BY KOZYAVKIN© METHOD CHANGES IN HAND FUNCTION PARAMETERS IN CHILDREN WITH SPASTIC FORM OF CEREBRAL PALSY AT THEIR BASELINE LEVELS AS WELL AS EEG, HRV AND GDV. (2019). Achievements of Clinical and Experimental Medicine, 4, 17-35. https://doi.org/10.11603/1811-2471.2018.v0.i4.9732