ISSN 0869-6632 (Print)
ISSN 2542-1905 (Online)


For citation:

Badarin A. A., Grubov V. V., Andreev A. В., Antipov V. М., Kurkin S. A. Hemodynamic response in the motor cortex to execution of different types of movements. Izvestiya VUZ. Applied Nonlinear Dynamics, 2022, vol. 30, iss. 1, pp. 96-108. DOI: 10.18500/0869-6632-2022-30-1-96-108

This is an open access article distributed under the terms of Creative Commons Attribution 4.0 International License (CC-BY 4.0).
Full text PDF(Ru):
(downloads: 737)
Full text PDF(En):
Language: 
Russian
Article type: 
Article
UDC: 
57.024; 53.047

Hemodynamic response in the motor cortex to execution of different types of movements

Autors: 
Badarin Artem Aleksandrovich, Immanuel Kant Baltic Federal University
Grubov Vadim Valerevich, Immanuel Kant Baltic Federal University
Kurkin Semen Andreevich, Innopolis University
Abstract: 

Purpose of this work is the analysis of the hemodynamic response to the execution of various types of movements (single movement, series of movements, “tapping”) by the right hand. Methods. In this paper, the hemodynamic response was recorded using functional near infrared spectroscopy (NIRScout instrument from NIRx, Germany). The NIRScout system uses 16 optodes (8 sources and 8 detectors) to record the hemodynamic response in the cerebral cortex with a sampling rate of 7.8125 Hz. Optodes are non-invasively placed on the patient’s scalp by inserting into the sockets of a special cap “EASYCAP”. Results. We show that the total hemodynamic response in the motor cortex of the left hemisphere slightly differs between all the considered types of movement, while the severity of contralaterality demonstrates significant differences between the types of movements. Contralaterality is most pronounced when performing a series of movements, while a single squeeze of the hand causes the least contralaterality. Conclusion. The results obtained in this paper demonstrate the high sensitivity of functional near-infrared spectroscopy technology to the performance of various types of movements. It should be especially noted here short single hand squeezes, which are clearly visible on the characteristics of HbO and HbR, which can be used in the development and design of various brain – computer interfaces, including multimodal ones.

Acknowledgments: 
This work was supported by the Ministry of Science and Higher Education of the Russian Federation (agreement no. 075-02-2021-1748) in the development of data analysis methods. Experimental works were supported by the Russian Foundation for Basic Research (grant 19-52-55001). Kurkin S. A. was supported by the Council for Grants of the President of the Russian Federation (grant MD-1921.2020.9).
Reference: 
  1. Bansal K, Garcia JO, Tompson SH, Verstynen T, Vettel JM, Muldoon SF. Cognitive chimera states in human brain networks. Science Advances. 2019;5(4):eaau8535. DOI: 10.1126/sciadv.aau8535.
  2. Brittin CA, Cook SJ, Hall DH, Emmons SW, Cohen N. A multi-scale brain map derived from whole-brain volumetric reconstructions. Nature. 2021;591(7848):105–110. DOI: 10.1038/s41586-021-03284-x.
  3. 3. Andreev AV, Maksimenko VA, Pisarchik AN, Hramov AE. Synchronization of interacted spiking neuronal networks with inhibitory coupling. Chaos, Solitons & Fractals. 2021;146:110812. DOI: 10.1016/j.chaos.2021.110812.
  4. Hramov AE, Maksimenko VA, Pisarchik AN. Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states. Physics Reports. 2021;918:1–133. DOI: 10.1016/j.physrep.2021.03.002.
  5. Karpov OE, Grubov VV, Maksimenko VA, Utaschev N, Semerikov VE, Andrikov DA, Hramov AE. Noise amplification precedes extreme epileptic events on human EEG. Phys. Rev. E. 2021;103(2): linebreak 022310. DOI: 10.1103/PhysRevE.103.022310.
  6. Chholak P, Kurkin SA, Hramov AE, Pisarchik AN. Event-related coherence in visual cortex and brain noise: An MEG study. Applied Sciences. 2021;11(1):375. DOI: 10.3390/app11010375.
  7. Maksimenko V, Kuc A, Frolov N, Kurkin S, Hramov A. Effect of repetition on the behavioral and neuronal responses to ambiguous Necker cube images. Scientific Reports. 2021;11(1):3454. DOI: 10.1038/s41598-021-82688-1.
  8. Villringer A, Planck J, Hock C, Schleinkofer L, Dirnagl U. Near infrared spectroscopy (NIRS): A new tool to study hemodynamic changes during activation of brain function in human adults. Neuroscience Letters. 1993;154(1–2):101–104. DOI: 10.1016/0304-3940(93)90181-J.
  9. Abdelnour AF, Huppert T. Real-time imaging of human brain function by near-infrared spectroscopy using an adaptive general linear model. NeuroImage. 2009;46(1):133–143. DOI: 10.1016/j.neuroimage.2009.01.033.
  10. Lachert P, Janusek D, Pulawski P, Liebert A, Milej D, Blinowska KJ. Coupling of Oxy- and Deoxyhemoglobin concentrations with EEG rhythms during motor task. Scientific Reports. 2017;7(1):15414. DOI: 10.1038/s41598-017-15770-2.
  11. Leff DR, Orihuela-Espina F, Elwell CE, Athanasiou T, Delpy DT, Darzi AW, Yang GZ. Assessment of the cerebral cortex during motor task behaviours in adults: A systematic review of functional near infrared spectroscopy (fNIRS) studies. NeuroImage. 2011;54(4):2922–2936. DOI: 10.1016/j.neuroimage.2010.10.058.
  12. Derosiere G, Mandrick K, Dray G, Ward TE, Perrey S. NIRS-measured prefrontal cortex activity in neuroergonomics: strengths and weaknesses. Frontiers in Human Neuroscience. 2013;7:583. DOI: 10.3389/fnhum.2013.00583.
  13. Ayaz H, Shewokis PA, Bunce S, Izzetoglu K, Willems B, Onaral B. Optical brain monitoring for operator training and mental workload assessment. NeuroImage. 2012;59(1):36–47. DOI: 10.1016/j.neuroimage.2011.06.023.
  14. Naseer N, Hong KS. fNIRS-based brain-computer interfaces: a review. Frontiers in Human Neuroscience. 2015;9:3. DOI: 10.3389/fnhum.2015.00003.
  15. Badarin AA, Skazkina VV, Grubov VV. Studying of human’s mental state during visual information processing with combined EEG and fNIRS. In: Saratov Fall Meeting 2019: Computations and Data Analysis: from Nanoscale Tools to Brain Functions. Vol. 11459 of Proc. SPIE. VII International Symposium on Optics and Biophotonics, 23–27 September 2019, Saratov, Russian Federation. Bellingham, Washington: SPIE; 2020. P. 114590D. DOI: 10.1117/12.2564403.
  16. Hramov AE, Grubov V, Badarin A, Maksimenko VA, Pisarchik AN. Functional near-infrared spectroscopy for the classification of motor-related brain activity on the sensor-level. Sensors. 2020;20(8):2362. DOI: 10.3390/s20082362.
  17. Talamonti D, Montgomery CA, Clark DPA, Bruno D. Age-related prefrontal cortex activation in associative memory: An fNIRS pilot study. NeuroImage. 2020;222:117223. DOI: 10.1016/j.neuroimage.2020.117223.
  18. Rahman MA, Siddik AB, Ghosh TK, Khanam F, Ahmad M. A narrative review on clinical applications of fNIRS. Journal of Digital Imaging. 2020;33(5):1167–1184. DOI: 10.1007/s10278- 020-00387-1.
  19. Kurkin S, Badarin A, Grubov V, Maksimenko V, Hramov A. The oxygen saturation in the primary motor cortex during a single hand movement: functional near-infrared spectroscopy (fNIRS) study. The European Physical Journal Plus. 2021;136(5):548. DOI: 10.1140/epjp/s13360-021-01516-7.
  20. Baker WB, Parthasarathy AB, Busch DR, Mesquita RC, Greenberg JH, Yodh AG. Modified Beer–Lambert law for blood flow. Biomedical Optics Express. 2014;5(11):4053–4075. DOI: 10.1364/BOE.5.004053.
  21. Nippert AR, Biesecker KR, Newman EA. Mechanisms mediating functional hyperemia in the brain. The Neuroscientist. 2018;24(1):73–83. DOI: 10.1177/1073858417703033.
  22. Newton JM, Sunderland A, Gowland PA. fMRI signal decreases in ipsilateral primary motor cortex during unilateral hand movements are related to duration and side of movement. NeuroImage. 2005;24(4):1080–1087. DOI: 10.1016/j.neuroimage.2004.10.003.
  23. Mullinger KJ, Mayhew SD, Bagshaw AP, Bowtell R, Francis ST. Evidence that the negative BOLD response is neuronal in origin: A simultaneous EEG–BOLD–CBF study in humans. NeuroImage. 2014;94:263–274. DOI: 10.1016/j.neuroimage.2014.02.029.
  24. Mayer AR, Hanlon FM, Shaff NA, Stephenson DD, Ling JM, Dodd AB, Hogeveen J, Quinn DK, Ryman SG, Pirio-Richardson S. Evidence for asymmetric inhibitory activity during motor planning phases of sensorimotor synchronization. Cortex. 2020;129:314–328. DOI: 10.1016/j.cortex.2020.04.028.
Received: 
20.07.2021
Accepted: 
28.09.2021
Published: 
31.01.2022