The Influence of «Acoustic Peak» of the Audiograms on the Structure of the Neuronets of the Brain at Veterans of OOS With Traumatic Brain Injury During Testing Visual Working Memory

Keywords: LORETA, acoustic trauma, right tiredness, «acute traumatic tooth», EEG, visual memory

Abstract

As of today, Ukraine has developed a tendency to increase the hearing problems of national servicemembers, who have fallen into an area of sound wave. Therefore, the purpose of our work was to study the effect of acoustic traumatic and «acoustic peak» on traumatic brain injury (TBI) while testing visual working memory. 18 KNU students of Taras Shevchenko (control group) and 11 servicemembers with TBI and right-sided hearing loss - patients of the rehabilitation center «Military sanatorium of Ukraine «Pusha Vodytsya»» adopted part in study. We have found that patients with right-sided hearing loss can have a «acoustic peak», as well as it can be missing. It was found that when testing the visual working memory in the control group, the effect of the level of complexity of stimulus was found only for the levels of complexity of more than 5 stimulus, that were presented for memorization, and only for the left hand. In the group without «acoustic peak» the level of difficulty had a significant effect on the number of errors, both left and right hands, in comparison with the control group, the number of errors the left hand was significantly greater for 2–4 stimulus and the reaction time with the left hand was significantly larger for all levels of complexity. In the group with «acoustic peak», there was no significant effect of the level of complexity on the number of errors with the left and right hands. However, they made a larger number of errors and had a longer reaction both hands at all levels of difficulty compared with the control group and made more mistakes of the right hand with longer response time for 7 stimulus compared with the non-«acoustic peak» group. In the control group, at the level of complexity up to 5 geometric figures, a ventral system of visual working memory was discovered and when the complexity of the task was overcome, processes of «top-down» control and decision-making were activated. In the group of patients without «acoustic peak» only the ventral system of visual memory was revealed, while in the group of patients with «acoustic peak» was chaotic activation at different levels of complexity of various zones, which are related to the perception of visual stimuli, memory, retrieval and decision-making processes, as a result, an adequate and effective system of visual working memory was not created. Thus, raising the thresholds for auditory sensitivity by 4/6 kHz and, that is, the presence of a «acoustic peak» can be considered a specific marker of deeper damage to the structures of the brain.

References

1. Volkova, T. V.; Shydlovs`ka, T. A.; Petruk, L. G.; Kuren`ova, K. Ju.; Shevcova, T. V.; Pojmanova, O. S. Typy audiometrychnyh kryvyh u pacijentiv, jaki otrymaly akutravmu v zoni provedennja antyterorystychnoi [Types of audiometric curves in patients who have acute intra-terrorism]. Zhurnal vushnyh, nosovyh i gorlovyh hvorob 2017, 2, с 4-21. (in Ukrainian)
2. Shydlovs`ka, T. A.; Petruk, L. G.; Shevcova, T. V. Pokaznyky sub’jektyvnoi audiometrii u osib, jaki otrymaly akutravmu v zonu provedennja bojovyh dij, z riznym stupenem porushen` sluhovoi funkcii [Subjective audiometry indices in people who have received acutum into the combat zone with varying degrees of hearing impairment]. Zhurnal vushnyh, nosovyh i gorlovyh hvorob 2017, 6, с 4-13. (in Ukrainian)
3. Baddeley, A. Working memory: looking back and looking forward. Nature Reviews Neuroscience 2003, 4, pp 829-839. https://doi.org/10.1038/nrn1201
4. Shipstead, Z.; Harrison, T.; Engle, R. Working Memory Capacity and Fluid Intelligence. Perspectives on Psychological Science 2016, 11(6), pp 771–799. https://doi.org/10.1177/1745691616650647
5. Lauer, J. Neural correlates of visual memory in patients with diffuse axonal injury. Brain Injury 2017, 31(11), pp 1513-1520. https://doi.org/10.1080/02699052.2017.1341998
6. Pascual-Marqui, R. D. (2002) Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details. Methods Find Exp Clin Pharmacol, 24 Suppl D, pp. 91-95.
7. Johansson, B.; Berglund, P.; Ronnback, L. Mental fatigue and impaired information processing after mild and moderate traumatic brain injury. Brain Injury 2009, 23(13–14), pp 1027–1040. https://doi.org/10.3109/02699050903421099
8. Zanto, T. P. Causal role of the prefrontal cortex in top-down modulation of visual processing and working memory. Nat Neurosci 2011, 14(5), pp 656-661. https://doi.org/10.1038/nn.2773
9. Bohbot, V.; Allen, J.; Dagher, A.; Dumoulin, S.; Evans, A.; Petrides, M.; Kalina, M.; Stepankova, K.; Nadel, L. Role of the parahippocampal cortex in memory for the configuration but not the identity of objects: converging evidence from patients with selective thermal lesions and fMRI. Frontiers in Human Neuroscience 2015, doi: 10.3389/fnhum.2015.00431.
10. Gerlach, C.; Aaside, C.; Humphreys, G.; Gade, A.; Paulson, O.; Lawa, I. Brain activity related to integrative processes in visual object recognition: bottom-up integration and the modulatory influence of stored knowledge. Neuropsychologia 2002, 40, pp. 1254–1267. https://doi.org/10.1016/s0028-3932(01)00222-6
11. Axmacher, N.; Schmitz, D.; Wagner, T.; Elger, C.; Fell, J. Interactions between Medial Temporal Lobe, Prefrontal Cortex, and Inferior Temporal Regions during Visual Working Memory: A Combined Intracranial EEG and Functional Magnetic Resonance Imaging Study. The Journal of Neuroscience; 2008, 28(29), pp 7304 –7312.
https://doi.org/10.1523/jneurosci.1778-08.2008
12. Pekkola, J.; Ojanen, V.; Autti, T.; Jaaskelainen, I.; Mottonen, R.; Tarkiainen, A.; Sams, M. Primary auditory cortex activation by visual speech: an fMRI study at 3 T. Lippincott Williams & Wilkins; 2005, 16(2), pp 125–128.
https://doi.org/10.1097/00001756-200502080-00010
13. Barton, B.; Brewer, A. Visual Working Memory in Human Cortex. Psychology (Irvine); 2013, 4(8), pp 655–662.
14. Ernst, M.; Nelson, E.; McClure, E.; Monk, C.; Munson, S.; Eshel, N.; Zarahn, E.; Leibenluft, E.; Zametkin, A.; Towbin, K.; Blair, J.;Charney, D.; Pine, D. Choice selection and reward anticipation: an fMRI study. Neuropsychologia; 2004, 42, pp 1585–1597. https://doi.org/10.1016/j.neuropsychologia.2004.05.011
15. Macaluso, E.; Hartcher-O’Brien, J.; Talsma, D.; Aam, R.; Vercillo, T.; Noppeney, U. The Curious Incident of Attention in Multisensory Integration: Bottom-up vs. Top-down. Multisensory Research; 2016, 29(6–7), pp 557–583 https://doi.org/10.1163/22134808-00002528
16. Aminoff, E.; Kveraga, K.; Bar, M. The role of the parahippocampal cortex in cognition. Trends Cogn Sci.; 2013, 17(8), pp 379–390. https://doi.org/10.1016/j.tics.2013.06.009
17. Takahashi, E.; Ohki, K.; Kim, D.-S. Dissociation and convergence of the dorsal and ventral visual working memory streams in the human prefrontal cortex. NeuroImage; 2013, 65, pp 488–498. https://doi.org/10.1016/j.neuroimage.2012.10.002
18. Ebrahiminia, F.; Hossein-Zadeh, G. Changes in effective connectivity between motor and sensory regions in finger. 23rd Iranian Conference on Biomedical Engineering and 2016 1st International Iranian Conference on Biomedical Engineering (ICBME). New Jersey: Institute of Electrical and Electronics Engineers, 2017. https://doi.org/10.1109/icbme.2016.7890965
Published
2019-08-22
How to Cite
Zmazhenko, O., Filimonova, N., Makarchuk, M., Zyma, I., Horbunov, O., & Kalnysh, V. (2019). The Influence of «Acoustic Peak» of the Audiograms on the Structure of the Neuronets of the Brain at Veterans of OOS With Traumatic Brain Injury During Testing Visual Working Memory. Lesya Ukrainka Eastern European National University Scientific Bulletin. Series: Biological Sciences, (3(387), 116-122. https://doi.org/10.29038/2617-4723-2019-387-116-122