Visual Evoked Responses in Adolescent Idiopathic Scoliosis

Abstract

Objective: In electrophysiological studies conducted with adolescent idiopathic scoliosis (AIS) patients, no studies examining the visual evoked potentials of AIS patients were found in conjunction with objective vertical perception. The aim of this study was to examine the visual evoked potentials of individuals with AIS and healthy individuals in terms of their brain responses. Method: Twelve AIS patients (12.75±0.86 years) and 10 healthy subjects (13.80±1.68 years) participated. A 64-channel electroencephalography (EEG) recording system, Embedded Microcontroller Unit (EMISU), visual stimulation unit, EEG cap, and video recording system were used to examine brain responses after applying visual stimulus. Results: In AIS and control groups (CG), three positive and two negative peaks were observed after applying the stimulus. In the AIS, the first and second negative, and second positive peaks, and in the CG, the second positive and negative peaks appeared significantly earlier in the frontal region. The amplitude of the third positive peak in all regions was found to be higher in the AIS. In AIS and CG, the second positive peak was found to be significantly higher in the parieto-occipital region. Conclusion: It can be deduced that AIS patients use more sources for processing the vertical visual stimuli than procedures compared to healthy individuals. In light of the findings obtained, the effect of treatments applied to AIS patients with the method used in this study can be evaluated in terms of brain responsiveness. In addition to the subjective visual perception of individuals with AIS, this method can also evaluate objective vertical perception.

Keywords

• Adolescent Idiopathic Scoliosis
• vertical perceptions
• electroencephalography

References

1. 1. Weiss HR, Lehnert-Schroth C, Moramarco MMK. Schroth therapy: advancements in conservative scoliosis treatment. LAP Lambert Academic Publishing.2018
2. 2. Moramarco M, Borsysov M, Ng SY, Weiss HR. 2020. Schroth’s Textbook of scoliosis and other spinal deformities, Cambridge Scholars Publishing, Newcastle UK.2020
3. 3. Wang WJ, Yeung HY, Chu WC, Tang NL, Lee KM, Qiu Y, Burwell RG, Cheng JC. Top theories for the etiopathogenesis of adolescent idiopathic scoliosis. J Pediatr Orthop. 2011 Jan-Feb;31(1 Suppl):S14-27. doi: 10.1097/BPO.0b013e3181f73c12. PMID: 21173615.
4. 4. Burwell RG, Dangerfield PH. Whither the etiopathogenesis (and scoliogeny) of adolescent idiopathic scoliosis? Stud Health Technol Inform. 2012;176:3-19. PMID: 22744448.
5. 5. Schlösser TP, van der Heijden GJ, Versteeg AL, Castelein RM. How 'idiopathic' is adolescent idiopathic scoliosis? A systematic review on associated abnormalities. PLoS One. 2014 May 12;9(5):e97461. doi: 10.1371/journal.pone.0097461. PMID: 24820478; PMCID: PMC4018432.
6. 6. Chu WC, Man GC, Lam WW, Yeung BH, Chau WW, Ng BK, Lam TP, Lee KM, Cheng JC. A detailed morphologic and functional magnetic resonance imaging study of the craniocervical junction in adolescent idiopathic scoliosis. Spine (Phila Pa 1976). 2007 Jul 1;32(15):1667-74. doi: 10.1097/BRS.0b013e318074d539. PMID: 17621216.
7. 7. Caton R. The electric currents of the brain. American Journal of EEG Technology. 1970 10;1:12-14, doi: 10.1080/00029238.1970.11080764
8. 8. Robb JE, Conner AN, Stephenson JB. Normal electroencephalograms in idiopathic scoliosis. Acta Orthop Scand. 1986 Jun;57(3):220-1. doi: 10.3109/17453678608994380. PMID: 3739660.

9. 9. Lukeschitsch G, Meznik F, Feldner-Bustin H. Zerebrale Dysfunktion bei Patienten mit idiopathischer Skoliose [Cerebral dysfunction in patients with idiopathic scoliosis]. Z Orthop Ihre Grenzgeb. 1980;118(3):372-5. German. doi: 10.1055/s-2008-1053519. PMID: 7415432.
10. 10. Dretakis EK, Paraskevaidis CH, Zarkadoulas V, Christodoulou N. Electroencephalographic study of schoolchildren with adolescent idiopathic scoliosis. Spine (Phila Pa 1976). 1988 Feb;13(2):143-5. doi: 10.1097/00007632-198802000-00002. PMID: 3406832.
11. 11. Petersén I, Sahlstrand T, Selldén U. Electroencephalographic investigation of patients with adolescent idiopathic scoliosis. Acta Orthop Scand. 1979 Jun;50(3):283-93. doi: 10.3109/17453677908989769. PMID: 474099.
12. 12. Pinchuk D, Dudin M, Bekshayev S, Pinchuk O. Peculiarities of brain functioning in children with adolescence idiopathic scoliosis (AIS) according to EEG studies. Stud Health Technol Inform. 2012;176:87-90. PMID: 22744465.
13. 13. Ozgoren M, Erdogan U, Bayazit O, Taslica S, Oniz A. Brain asymmetry measurement using EMISU (embedded interactive stimulation unit) in applied brain biophysics. Comput Biol Med. 2009 Oct;39(10):879-88. doi: 10.1016/j.compbiomed.2009.07.001. Epub 2009 Aug 7. PMID: 19665111.
14. 14. Jasper HH. The ten-twenty electrode system of the International Federation. Electroencephalogr Clin Neurophysiol. 1958 10:370-375.
15. 15. Enslein K, Chan DP. Multiparameter pilot study of adolescent idiopathic scoliosis. Spine (Phila Pa 1976). 1987 Dec;12(10):978-82. doi: 10.1097/00007632-198712000-00006. PMID: 3441825.
16. 16. Sahlstrand T, Lidström J. Equilibrium factors as predictors of the prognosis in adolescent idiopathic scoliosis. Clin Orthop Relat Res. 1980 Oct;(152):232-6. PMID: 7438607.
17. 17. Basar E. The circulatory autoregulation. Biophysical and physiological systems analysis. Reading. MA: Addison-Wesley Publishing Company. 1976.
18. 18. Basar E. Dumermuth G. EEG-brain dynamics: relation between EEG and brain evoked potentials. Elsevier. First Edition. Amsterdam. 1980.
19. 19. Basar E. Brain function and oscillations: volume I: brain oscillations. Principles and approaches. Springer Science & Business Media. 2012.
20. 20. Basar E. Brain function and oscillations: volume II: integrative brain function. Neurophysiology and cognitive processes. Springer Science & Business Media. 2012.
21. 21. Basar E. Memory and brain dynamics: Oscillations integrating attention, perception, learning, and memory. CRC press. 2004.
22. 22. Schürmann M, Başar-Eroglu C, Kolev V, Başar E. A new metric for analyzing single-trial event-related potentials (ERPs): application to human visual P300 delta response. Neurosci Lett. 1995 Sep 15;197(3):167-70. doi: 10.1016/0304-3940(95)11912-g. PMID: 8552290.
23. 23. Karakas S. A descriptive framework for information processing: an integrative approach. Int J Psychophysiol. 1997 Jun;26(1-3):353-68. doi: 10.1016/s0167-8760(97)00775-7. PMID: 9203014.
24. 24. Yordanova J, Kolev V. Developmental changes in the event-related EEG theta response and P300. Electroencephalogr Clin Neurophysiol. 1997 Sep;104(5):418-30. doi: 10.1016/s0168-5597(97)00054-3. PMID: 9344078.
25. 25. Oniz A. Inanc G. Guducu C. Ozgoren M. Brain responsiveness to non-painful tactile stimuli prior and during sleep. Sleep and Biological Rhythms. 2016 14(1), pp.87-96.
26. 26. Bayazit O, Oniz A, Hahn C, Güntürkün O, Ozgören M. Dichotic listening revisited: trial-by-trial ERP analyses reveal intra- and interhemispheric differences. Neuropsychologia. 2009 Jan;47(2):536-45. doi: 10.1016/j.neuropsychologia.2008.10.002. Epub 2008 Oct 10. PMID: 18955072.
27. 27. Swick D, Turken AU. Dissociation between conflict detection and error monitoring in the human anterior cingulate cortex. Proc Natl Acad Sci U S A. 2002 Dec 10;99(25):16354-9. doi: 10.1073/pnas.252521499. Epub 2002 Nov 27. PMID: 12456882; PMCID: PMC138615.