uk Age-related Neurophysiological Changes in Simple Sensorimotor Reaction Performance

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Olga Igorivna Podkovka
Yukhimovych Makarchuk Makarchuk
Nataliya Borisivna Filimonova
Ihor Volodymyrovych Pampukha
Mykola Mykolayovych Nikiforov


For different types of professional activity, the speed of information processing
is one of the most important indicators of performance. It is well known that aging is accompanied by
changes in the speed and / or mode of information processing in the brain. Simple sensorimotor
reaction (SMR) shows speed and efficiency of information perception processes, its integration and is
and reveals how well the basic cognitive mechanisms can be involved in the implementation of target

Article Details

Author Biographies

Olga Igorivna Podkovka, Kyiv National University named after T. Shevchenko

graduate student of the Department of Human and Animal Physiology Kyiv National University named after T. Shevchenko NSC "Institute of Biology and Medicine"

Yukhimovych Makarchuk Makarchuk, Kyiv National University named after Taras Shevchenko

doctor of biological sciences, professor Kyiv National University named after T. Shevchenko NSC "Institute of Biology and Medicine"          

Nataliya Borisivna Filimonova, Kyiv National University named after Taras Shevchenko

candidate of physical and mathematical sciences, senior researcher Kyiv National University named after T. Shevchenko Military Institute

Ihor Volodymyrovych Pampukha , Kyiv National University named after Taras Shevchenko

candidate of technical sciences, associate professor Kyiv National University named after T. Shevchenko Military Institute

Mykola Mykolayovych Nikiforov, Kyiv National University named after Taras Shevchenko

Candidate of military sciences, senior researcher Kyiv National University named after T. Shevchenko Military Institute


Gulyar S. A., Filimonova N. B., Makarchuk M. Y., & Krivdiuk Y. N. Ocular influence of nano-modified

fullerene light, 2: Time correlation of the choice and simple sensorimotor reactions that determine blinding

compensation of the driver. Journal of US-China Medical Science. 2019. № 16(3). P. 105-115.

Shtofel D., Kostishyn S., Navrotska K., Zlepko S., & Tymchyk S. Reaction parameter and modified

sensorimotor reaction method for assessment of functional potential of nervous system. Биомедицинская

инженерия и электроника. 2018. № 1(20). С. 68-78. DOI: 10.6084/m9.figshare.5230345.

Ermakov AV. Simple and complex sensomotor reaction for choice when teaching protection against armed

attacker. In: Proceedings of the First International Volga Region Conference on Economics, Humanities and

Sports (FICEHS 2019). Paris, France: Atlantis Press. 2019. P. 772–774.

Schubert A-L., Hagemann D., Löffler C., Frischkorn G. T. Disentangling the Effects of Processing Speed on the

Association between Age Differences and Fluid Intelligence. Journal of Intelligence. 2020. № 8(1). P. 1-20.

Yordanova J., Kolev V., Hohnsbein J., & Falkenstein M. Sensorimotor slowing with ageing is mediated by a

functional dysregulation of motor-generation processes: evidence from high-resolution event-related potentials.

Brain: A Journal of Neurology. 2004. № 127(2). P. 351–362.

Smith C. T., Crawford J. L., Dang L. C., Seaman K. L., San Juan M. D., Vijay A., Katz D. T., Matuskey D.,

Cowan R. L., Morris E. D., Zald D. H., & Samanez-Larkin G. R.. Partial-volume correction increases estimated

dopamine D2-like receptor binding potential and reduces adult age differences. Journal of Cerebral Blood Flow

& Metabolism. 2019. № 39(5). P. 822–833.

Filіmonova N. The Computer’s Express Method for the Designation of a Psychophysiological Status of People.”

In: The 2nd International Sci-Methods Conference Health Culture as an Object of Education. Kyiv, Ukraine.

P. 204-209.

Подковка О.І., Макарчук М.Ю., Філімонова Н.Б., Книр О.С., Пампуха І.В., Горбунов О.А. Нейрональні

кореляти простої сенсомоторної рекції як маркери швидкості обробки інформації у ветеранів АТО/ООС.

Фізіологічний журнал. 2021. № 67(6). С. 3–12.

Rojas G. M., Alvarez C., Montoya C. E., de la Iglesia-Vayá M., Cisternas J. E., & Gálvez M. Study of restingstate functional connectivity networks using EEG electrodes position as seed. Frontiers in Neuroscience. 2018.

№ 12.

Poe B. H., Linville C., & Brunso-Bechtold J. Age-related decline of presumptive inhibitory synapses in the

sensorimotor cortex as revealed by the physical disector. The Journal of Comparative Neurology. 2001. №

(1). P. 65–72.

La Corte E., Eldahaby D., Greco E., Aquino D., Bertolini G., Levi V., Ottenhausen M., Demichelis G., Romito

L. M. Acerbi, F. Broggi M., Schiariti M. P., Ferroli P., Bruzzone M. G., & Serrao G. The frontal aslant tract: A

systematic review for neurosurgical applications. Frontiers in Neurology. 2021. № 12.

Volz K. G., Schubotz R. I., & von Cramon D. Y. Decision-making and the frontal lobes. Current Opinion in

Neurology. 2006. № 19(4). P. 401–406.

Calautti C., Serrati C., & Baron J.-C. Effects of age on brain activation during auditory-cued thumb-to-index

opposition: A positron emission tomography study. Stroke; a Journal of Cerebral Circulation. 2001. № 32(1). P.


Delorme A., Westerfield M., & Makeig S. Medial prefrontal theta bursts precede rapid motor responses during

visual selective attention. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience.

№ 27(44). P. 11949–11959.

Harmony T., Fernández T., Silva J., Bernal J., Díaz-Comas L., Reyes A., Marosi E., Rodríguez M., & Rodríguez

M. EEG delta activity: an indicator of attention to internal processing during performance of mental tasks.

International Journal of Psychophysiology: Official Journal of the International Organization of

Psychophysiology. 1996. № 24(1–2). P. 161–171.

Ariani G., Pruszynski J. A., & Diedrichsen J. Motor planning brings human primary somatosensory cortex into

action-specific preparatory states. ELife. 2022. № 11.

Klimesch W., Sauseng P., & Hanslmayr S. EEG alpha oscillations: the inhibition-timing hypothesis. Brain

Research Reviews. 2007. № 53(1). P. 63–88.

Numasawa K., Miyamoto T., Kizuka T., & Ono S. The relationship between the implicit visuomotor control and

the motor planning accuracy. Experimental Brain Research. 2021. № 239(7). P. 2151–2158.

Mohan A., De Ridder D., & Vanneste S. Graph theoretical analysis of brain connectivity in phantom sound

perception. Scientific Reports. 2016. № 6(1).