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Jalalvandi, Maziar, Riyahi Alam, Nader, Sharini, Hamid, Hashemi, Hasan, Nadimi, Mohadeseh. (1400). Brain Cortical Activation during Imagining of the Wrist Movement Using Functional Near Infrared Spectroscopy (fNIRS). سامانه مدیریت نشریات علمی, 11(5), 583-594. doi: 10.31661/jbpe.v0i0.1051
Maziar Jalalvandi; Nader Riyahi Alam; Hamid Sharini; Hasan Hashemi; Mohadeseh Nadimi. "Brain Cortical Activation during Imagining of the Wrist Movement Using Functional Near Infrared Spectroscopy (fNIRS)". سامانه مدیریت نشریات علمی, 11, 5, 1400, 583-594. doi: 10.31661/jbpe.v0i0.1051
Jalalvandi, Maziar, Riyahi Alam, Nader, Sharini, Hamid, Hashemi, Hasan, Nadimi, Mohadeseh. (1400). 'Brain Cortical Activation during Imagining of the Wrist Movement Using Functional Near Infrared Spectroscopy (fNIRS)', سامانه مدیریت نشریات علمی, 11(5), pp. 583-594. doi: 10.31661/jbpe.v0i0.1051
Jalalvandi, Maziar, Riyahi Alam, Nader, Sharini, Hamid, Hashemi, Hasan, Nadimi, Mohadeseh. Brain Cortical Activation during Imagining of the Wrist Movement Using Functional Near Infrared Spectroscopy (fNIRS). سامانه مدیریت نشریات علمی, 1400; 11(5): 583-594. doi: 10.31661/jbpe.v0i0.1051

Brain Cortical Activation during Imagining of the Wrist Movement Using Functional Near Infrared Spectroscopy (fNIRS)

Journal of Biomedical Physics and Engineering
مقاله 4، دوره 11، شماره 5، دی 2021، صفحه 583-594    اصل مقاله (1.22 M)
نوع مقاله: Original Research
شناسه دیجیتال (DOI): 10.31661/jbpe.v0i0.1051
نویسندگان
Maziar Jalalvandi1؛ Nader Riyahi Alam* 2، 3؛ Hamid Sharini4؛ Hasan Hashemi5، 6؛ Mohadeseh Nadimi7
1MSc, Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran
2PhD, Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran
3PhD, Medical Pharmaceutical Sciences Research Centre (MPRC), The Institute of Pharmaceutical Sciences, Tehran University of Medical Sciences, Tehran, Iran
4PhD, Department of Medical Physics and Biomedical Engineering, School of Medicine, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran
5MD, Department of Radiology, School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran
6MD, Advanced Diagnostic and Interventional Radiology Research Research Centre (ADIR), Tehran University of Medical Sciences (TUMS), Tehran, Iran
7MSc Student, Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran
چکیده
Background: fNIRS is a useful tool designed to record the changes in the density of blood’s oxygenated hemoglobin (oxyHb) and deoxygenated hemoglobin (deoxyHb) molecules during brain activity. This method has made it possible to evaluate the hemodynamic changes of the brain during neuronal activity in a completely non-aggressive manner.
Objective: The present study has been designed to investigate and evaluate the brain cortex activities during imagining of the execution of wrist motor tasks by comparing fMRI and fNIRS imaging methods.
Material and Methods: This novel observational Optical Imaging study aims to investigate the brain motor cortex activity during imagining of the right wrist motor tasks in vertical and horizontal directions. To perform the study, ten healthy young right-handed volunteers were asked to think about right-hand movements in different directions according to the designed movement patterns. The required data were collected in two wavelengths, including 845 and 763 nanometers using a 48 channeled fNIRS machine.
Results: Analysis of the obtained data showed the brain activity patterns during imagining of the execution of a movement are formed in various points of the motor cortex in terms of location. Moreover, depending on the direction of the movement, activity plans have distinguishable patterns. The results showed contralateral M1 was mainly activated during imagining of the motor cortex (p <0.05).
Conclusion: The results of our study showed that in brain imaging, it is possible to distinguish between patterns of activities during wrist motion in different directions using the recorded signals obtained through near-infrared Spectroscopy. The findings of this study can be useful in further studies related to movement control and BCI.
کلیدواژه‌ها
Hemodynamics؛ Near-Infrared؛ Motor Cortex؛ Functional Neuroimaging
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مراجع
  1. Gibson AP, Hebden JC, Arridge SR. Recent advances in diffuse optical imaging. Phys Med Biol. 2005;50:R1-43. PubMed PMID: 15773619.
  2. Hoshi Y. Functional near-infrared spectroscopy: current status and future prospects. Journal of Biomedical Optics. 2007;12:062106.
  3. Lloyd-Fox S, Blasi A, Elwell CE. Illuminating the developing brain: the past, present and future of functional near infrared spectroscopy. Neurosci Biobehav Rev. 2010;34:269-84. doi: 10.1016/j.neubiorev.2009.07.008. PubMed PMID: 19632270.
  4. Strangman G, Boas DA, Sutton JP. Non-invasive neuroimaging using near-infrared light. Biol Psychiatry. 2002;52:679-93. doi: 10.1016/s0006-3223(02)01550-0.
  5. Pellicer A, Bravo Mdel C. Near-infrared spectroscopy: a methodology-focused review. Semin Fetal Neonatal Med. 2011;16:42-9. doi: 10.1016/j.siny.2010.05.003. PubMed PMID: 20580625.
  6. León-Carrión J, León-Domínguez U. Functional near-infrared spectroscopy (fNIRS): Principles and neuroscientific applications. Neuroimaging-Methods, Peter Bright, IntechOpen; 2012.
  7. Kober SE, Wood G, Kurzmann J, Friedrich EV, Stangl M, Wippel T, et al. Near-infrared spectroscopy based neurofeedback training increases specific motor imagery related cortical activation compared to sham feedback. Biol Psychol. 2014;95:21-30.
  8. Villringer A, Chance B. Non-invasive optical spectroscopy and imaging of human brain function. Trends Neurosci. 1997;20:435-42. doi: 10.1016/s0166-2236(97)01132-6. PubMed PMID: 9347608.
  9. Boas DA, Dale AM, Franceschini MA. Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy. Neuroimage. 2004;23 Suppl 1:S275-88. doi: 10.1016/j.neuroimage.2004.07.011. PubMed PMID: 15501097.
  10. Cui X, Bray S, Bryant DM, Glover GH, Reiss AL. A quantitative comparison of NIRS and fMRI across multiple cognitive tasks. Neuroimage. 2011;54:2808-21. doi: 10.1016/j.neuroimage.2010.10.069. PubMed PMID: 21047559. PubMed PMCID: PMC3021967.
  11. Shibasaki H. Human brain mapping: hemodynamic response and electrophysiology. Clin Neurophysiol. 2008;119:731-43. doi: 10.1016/j.clinph.2007.10.026. PubMed PMID: 18187361.
  12. Blankertz B, Tomioka R, Lemm S, Kawanabe M, Muller K-R. Optimizing spatial filters for robust EEG single-trial analysis. IEEE Signal processing magazine. 2008;25:41-56. doi: 10.1109/msp.2008.4408441.
  13. Chin ZY, Ang KK, Wang C, Guan C, Zhang H. Multi-class filter bank common spatial pattern for four-class motor imagery BCI. Conf Proc IEEE Eng Med Biol Soc. 2009;2009:571-4. doi: 10.1109/IEMBS.2009.5332383. PubMed PMID: 19963466.
  14. Wriessnegger S, Kurzmann J, Neuper C. Spatio-temporal differences in brain oxygenation between movement execution and imagery: a multichannel near-infrared spectroscopy study. Int J Psychophysiol. 2008;67:54-63. doi: 10.1016/j.ijpsycho.2007.10.004.
  15. Guillot A, Di Rienzo F, Macintyre T, Moran A, Collet C. Imagining is Not Doing but Involves Specific Motor Commands: A Review of Experimental Data Related to Motor Inhibition. Front Hum Neurosci. 2012;6:247. doi: 10.3389/fnhum.2012.00247. PubMed PMID: 22973214. PubMed PMCID: PMC3433680.
  16. Guillot A, Hoyek N, Louis M, Collet C. Understanding the timing of motor imagery: recent findings and future directions. International Review of Sport and Exercise Psychology. 2012;5:3-22. doi: 10.1080/1750984x.2011.623787.
  17. Faralli A, Bigoni M, Mauro A, Rossi F, Carulli D. Noninvasive strategies to promote functional recovery after stroke. Neural Plast. 2013;2013:854597. doi: 10.1155/2013/854597. PubMed PMID: 23864962. PubMed PMCID: PMC3707231.
  18. Garrison KA, Winstein CJ, Aziz-Zadeh L. The mirror neuron system: a neural substrate for methods in stroke rehabilitation. Neurorehabil Neural Repair. 2010;24:404-12. doi: 10.1177/1545968309354536. PubMed PMID: 20207851.
  19. Guillot A, Di Rienzo F, Collet C. The neurofunctional architecture of motor imagery. Advanced Brain Neuroimaging Topics in Health and Disease-Methods and Applications: IntechOpen; 2014.
  20. Lacourse MG, Cohen MJ, Lawrence KE, Romero DH. Cortical potentials during imagined movements in individuals with chronic spinal cord injuries. Behav Brain Res. 1999;104:73-88. PubMed PMID: 11125744.
  21. Hanakawa T, Dimyan MA, Hallett M. Motor planning, imagery, and execution in the distributed motor network: a time-course study with functional MRI. Cereb Cortex. 2008;18:2775-88. doi: 10.1093/cercor/bhn036.
  22. Buzsaki G. Rhythms of the Brain. New York: Oxford University Press; 2006.
  23. Palva JM, Palva S. Infra-slow fluctuations in electrophysiological recordings, blood-oxygenation-level-dependent signals, and psychophysical time series. Neuroimage. 2012;62:2201-11. doi: 10.1016/j.neuroimage.2012.02.060.
  24. Ehrsson HH, Fagergren A, Jonsson T, Westling G, Johansson RS, Forssberg H. Cortical activity in precision- versus power-grip tasks: an fMRI study. J Neurophysiol. 2000;83:528-36. doi: 10.1152/jn.2000.83.1.528. PubMed PMID: 10634893.
  25. Kapreli E, Athanasopoulos S, Papathanasiou M, Van Hecke P, Strimpakos N, Gouliamos A, et al. Lateralization of brain activity during lower limb joints movement. An fMRI study. Neuroimage. 2006;32:1709-21. doi: 10.1016/j.neuroimage.2006.05.043. PubMed PMID: 16859927.
  26. Kapreli E, Athanasopoulos S, Papathanasiou M, Van Hecke P, Keleki D, Peeters R, et al. Lower limb sensorimotor network: issues of somatotopy and overlap. Cortex. 2007;43:219-32. doi: 10.1016/s0010-9452(08)70477-5. PubMed PMID: 17405668.
  27. Kim MJ, Hong JH, Jang SH. The cortical effect of clapping in the human brain: A functional MRI study. NeuroRehabilitation. 2011;28:75-9. doi: 10.3233/NRE-2011-0634. PubMed PMID: 21447906.
  28. laPointe KE, Klein JA, Konkol ML, Kveno SM, Bhatt E, DiFabio RP, et al. Cortical activation during finger tracking vs. ankle tracking in healthy subjects. Restor Neurol Neurosci. 2009;27:253-64. PubMed PMID: 19813287.
  29. Luft AR, Smith GV, Forrester L, Whitall J, Macko RF, Hauser TK, et al. Comparing brain activation associated with isolated upper and lower limb movement across corresponding joints. Hum Brain Mapp. 2002;17:131-40. doi: 10.1002/hbm.10058. PubMed PMID: 12353246.
  30. Rao SM, Bandettini PA, Binder JR, Bobholz JA, Hammeke TA, Stein EA, et al. Relationship between finger movement rate and functional magnetic resonance signal change in human primary motor cortex. J Cereb Blood Flow Metab. 1996;16:1250-4. doi: 10.1097/00004647-199611000-00020. PubMed PMID: 8898698.
  31. Wexler BE, Fulbright RK, Lacadie CM, Skudlarski P, Kelz MB, Constable RT, et al. An fMRI study of the human cortical motor system response to increasing functional demands. Magn Reson Imaging. 1997;15:385-96. PubMed PMID9223039.
  32. Lotze M, Montoya P, Erb M, Hulsmann E, Flor H, Klose U, et al. Activation of cortical and cerebellar motor areas during executed and imagined hand movements: an fMRI study. J Cogn Neurosci. 1999;11:491-501. PubMed PMID: 10511638.
  33. Rizzolatti G, Fadiga L, Gallese V, Fogassi L. Premotor cortex and the recognition of motor actions. Brain Res Cogn Brain Res. 1996;3:131-41. doi: 10.1016/0926-6410(95)00038-0. PubMed PMID: 8713554.
  34. Fuchino Y, Nagao M, Katura T, Bando M, Naito M, Maki A, et al. High cognitive function of an ALS patient in the totally locked-in state. Neurosci Lett. 2008;435:85-9. doi: 10.1016/j.neulet.2008.01.046. PubMed PMID: 18359565.
  35. Kanoh Si, Murayama Y-m, Miyamoto K-i, Yoshinobu T, Kawashima R, editors. A NIRS-based brain-computer interface system during motor imagery: system development and online feedback training. Annual International Conference of the IEEE Engineering in Medicine and Biology Society; Minneapolis, USA: IEEE; 2009. p. 594-7. doi: 10.1109/iembs.2009.5333710.
  36. Macuga KL, Frey SH. Neural representations involved in observed, imagined, and imitated actions are dissociable and hierarchically organized. Neuroimage. 2012;59:2798-807. doi: 10.1016/j.neuroimage.2011.09.083. PubMed PMID: 22005592. PubMed PMCID: PMC3254825.
  37. Kaplan MS. Plasticity after brain lesions: contemporary concepts. Arch Phys Med Rehabil. 1988;69:984-91. PubMed PMID: 3056323.
  38. York DH. Review of descending motor pathways involved with transcranial stimulation. Neurosurgery. 1987;20:70-3. doi: 10.1097/00006123-198701000-00021. PubMed PMID: 3543726.
  39. Vanzetta I, Grinvald A. Coupling between neuronal activity and microcirculation: implications for functional brain imaging. HFSP J. 2008;2:79-98. doi: 10.2976/1.2889618. PubMed PMID: 19404475. PubMed PMCID: PMC2645573.
  40. Kleinfeld D, Mitra PP, Helmchen F, Denk W. Fluctuations and stimulus-induced changes in blood flow observed in individual capillaries in layers 2 through 4 of rat neocortex. Proceedings of the National Academy of Sciences. 1998;95:15741-6. doi: 10.1073/pnas.95.26.15741.
  41. Dirnagl U, Villringer A, Gebhardt R, Haberl RL, Schmiedek P, Einhäupl KM. Three-dimensional reconstruction of the rat brain cortical microcirculation in vivo. J Cereb Blood Flow Metab. 1991;11:353-60. doi: 10.1038/jcbfm.1991.74.
  42. Colier W, Quaresima V, Oeseburg B, Ferrari M. Human motor-cortex oxygenation changes induced by cyclic coupled movements of hand and foot. Exp Brain Res. 1999;129:457-61. doi: 10.1007/s002210050913.
  43. Obrig H, Wenzel R, Kohl M, Horst S, Wobst P, Steinbrink J, et al. Near-infrared spectroscopy: does it function in functional activation studies of the adult brain? Int J Psychophysiol. 2000;35:125-42. doi: 10.1016/s0167-8760(99)00048-3. PubMed PMID: 10677642.
  44. Tak S, Yoon SJ, Jang J, Yoo K, Jeong Y, Ye JC. Quantitative analysis of hemodynamic and metabolic changes in subcortical vascular dementia using simultaneous near-infrared spectroscopy and fMRI measurements. Neuroimage. 2011;55:176-84. doi: 10.1016/j.neuroimage.2010.11.046.
  45. Ye JC, Tak S, Jang KE, Jung J, Jang J. NIRS-SPM: statistical parametric mapping for near-infrared spectroscopy. Neuroimage. 2009;44:428-47. doi: 10.1016/j.neuroimage.2008.08.036. PubMed PMID: 18848897.
  46. Steinbrink J, Villringer A, Kempf F, Haux D, Boden S, Obrig H. Illuminating the BOLD signal: combined fMRI-fNIRS studies. Magn Reson Imaging. 2006;24:495-505. doi: 10.1016/j.mri.2005.12.034. PubMed PMID: 16677956.
  47. Huppert TJ, Diamond SG, Franceschini MA, Boas DA. HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain. Applied optics. 2009;48:D280-98. doi: 10.1364/ao.48.00d280.
  48. Nakano H, Ueta K, Osumi M, Morioka S. Brain activity during the observation, imagery, and execution of tool use: an fNIRS/EEG study. J Novel Physiother S. 2012;1. doi: 10.4172/2165-7025.s1-009.
  49. Grezes J, Decety J. Functional anatomy of execution, mental simulation, observation, and verb generation of actions: a meta-analysis. Hum Brain Mapp. 2001;12:1-19. doi: 10.1002/1097-0193(200101)12:13.0.co;2-v.
  50. Lorey B, Pilgramm S, Bischoff M, Stark R, Vaitl D, Kindermann S, et al. Activation of the parieto-premotor network is associated with vivid motor imagery—a parametric fMRI study. PLoS One. 2011;6:e20368. doi: 10.1371/journal.pone.0020368.
  51. Solodkin A, Hlustik P, Chen EE, Small SL. Fine modulation in network activation during motor execution and motor imagery. Cereb Cortex. 2004;14:1246-55. doi: 10.1093/cercor/bhh086.
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