World Scientific
Skip main navigation
Close Drawer MenuOpen Drawer Menu

Cookies Notification

We use cookies on this site to enhance your user experience. By continuing to browse the site, you consent to the use of our cookies. Learn More
×
Our website is made possible by displaying certain online content using javascript.
In order to view the full content, please disable your ad blocker or whitelist our website www.worldscientific.com.

System Upgrade on Mon, Jun 21st, 2021 at 1am (EDT)

During this period, the E-commerce and registration of new users may not be available for up to 6 hours.
For online purchase, please visit us again. Contact us at [email protected] for any enquiries.
No Access

FUNCTIONAL NEAR-INFRARED SPECTROSCOPY-BASED UPPER EXTREMITY FUNCTION REHABILITATION FOR STROKE SURVIVOR: A REVIEW

    https://doi.org/10.1142/S0219519420500013Cited by:0
    Previous
    Next

    Abstract

    Recently, the functional near-infrared spectroscopy (600–900nm electromagnetic wave) (f-NIRS)-based rehabilitation researches have been studied for understanding the human brain. Although f-NIRS can successfully measure the relative blood concentration changes of oxy-hemoglobin (HbO) and deoxy-hemoglobin (HbR) as an assessment tool to identify significant clinical intervention during pre- and post-rehabilitation therapy for stroke survivors, there is insufficient information particularly on the use of f-NIRS as a clinical translation in upper extremity function rehabilitation. In order to widely utilize the f-NIRS for upper extremity rehabilitation, device information, experiment design, measurement procedure, and analyzing method are described for clinician aspect in this study. In addition, further research trend was introduced from previous studies for stroke survivor rehabilitation. The authors believed that the information provided in this study can be a useful guideline to encourage future researchers to focus on upper extremity function rehabilitation of stroke survivors.

    References

    • 1. Cournoyer A, Iseppon M, Chauny JM, Denault A, Cossette S, Notebaert É, Near infrared spectroscopy monitoring during cardiac arrest: A systematic review and meta-analysis, Acad Emerg Med 23 :851–862, 2016. Crossref, ISI, Google Scholar
    • 2. Lin PY, Lin SI, Penney T, Chen JJ, Applications of near infrared spectroscopy and imaging for motor rehabilitation in stroke patients, J Med Biol Eng 29 :210–221, 2009. ISI, Google Scholar
    • 3. Bhatt M, Ayyalasomayajula KR, Yalayarthy PK, Generalized beer-lambert model for near-infrared light propagation in thick biological tissues, J Biomed Opt 21 :076012, 2016. Crossref, ISI, Google Scholar
    • 4. Strangman G, Boas DA, Sutton JP, Non-invasive neuroimaging using near-infrared light, Biol Psychiatry 52 :679–693, 2002. Crossref, ISI, Google Scholar
    • 5. Schytz HW, Guo S, Jensen LT, Kamar M, Nini A, Gress DR, Ashina. A new technology for detecting cerebral blood flow: A comparative study of ultrasound tagged NIRS and 133Xe-SPECT, Neurocrit Care 17 :139–145, 2012. Crossref, ISI, Google Scholar
    • 6. Fava E, Hul R, Baumbauer K, Bortfeld H, Hemodynamic responses to speech and music in preverbal infants, Child Neuropsychol 20 :430–448, 2014. Crossref, ISI, Google Scholar
    • 7. 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 54 :2922–2936, 2011. Crossref, ISI, Google Scholar
    • 8. Huppert TJ, Karim H, Lin CC, Alqahtani BA, Greenspan SL, Sparto PJ, Functional Imaging of cognition in an old-old population: A case for portable functional near-Infrared spectroscopy, PLoS ONE 12 :e0184918, 2017. Crossref, ISI, Google Scholar
    • 9. Triccas LT, Meyer S, Mantini D, Camilleri K, Falzon O, Camilleri T, Verheyden G, A systematic review investigating the relationship of electroencephalography and magnetoencephalography measurements with sensorimotor upper limb impairments after stroke, J Neurosci Methods 311 :318–330, 2018. Crossref, ISI, Google Scholar
    • 10. Visani E, Canafoglia L, Gilioli I, Sebastiano DR, Contarino VE, Duran D, Panzica F, Cubeddu R, Contini D, Zucchelli L, Spinelli L, Caffini M, Molteni E, Bianchi AM, Cerutti S, Franceschetti S, Torricelli A, Hemodynamic and EEG time-courses during Unilateral hand movement in patients with cortical myoclonus an EEG-fMRI and EEG-TD-fNIRS study, Brain Topogr 28 :915–925, 2014. Crossref, ISI, Google Scholar
    • 11. Stoykov ME, Lewis GN, Corcos DM, Comparison of bilateral and unilateral training for upper extremity hemiparesis in stroke, Neurorehabil Neural Repair 23 :945–953, 2009. Crossref, ISI, Google Scholar
    • 12. Mihara M, Miyai I, Review of functional near-infrared spectroscopy in neurorehabilitation, Neurophotonics 3 :031414, 2016. Crossref, ISI, Google Scholar
    • 13. Park SW, Butler AJ, Cavalheiro V, Alberts JL, Wolf SL, Changes in serial optical topography and TMS during task performance after constraint-induced movement therapy in stroke: A case study, Neurorehabil Neural Repair 18 :95–105, 2004. Crossref, ISI, Google Scholar
    • 14. Yen CT, Chen WC, Effects of molecular structures on the near-infrared optical properties of polyimide derivatives and their corresponding optical waveguides, Macromolecules 36 :3315–3319, 2003. Crossref, ISI, Google Scholar
    • 15. Chen BQ, Zhang C, Li J, Li ZY, Xia Y, On the critical role of Rayleigh scattering in single-molecule surface-enhanced Raman scattering via a plasmonic nanogap, Nanoscale 8 :15730–15736, 2016. Crossref, ISI, Google Scholar
    • 16. Chen H, Liu Y, Lu F, Cao Y, Zhang ZM, Eliminating non-linear Raman shift displacement between spectrometers via moving window fast fourier transform cross-correlation, Front Chem 6 :515, 2018. Crossref, ISI, Google Scholar
    • 17. Kato T, Principle and technique of NIRS-Imaging for human brain FORCE: Fast-oxygen response in capillary event, Int Congr Ser 1270 :85–90, 2004. Crossref, Google Scholar
    • 18. Drenckhahn C, Koch SP, Dümmler J, Kohl-Bareis M, Steinbrink J, Dreier JP, A validation study of the use of near-infrared spectroscopy imaging in primary and secondary motor areas of the human brain, Epilepsy Behav 49 :118–125, 2015. Crossref, ISI, Google Scholar
    • 19. Scholkmann F, Kleiser S, Metz AJ, Zimmermann R, Pavia JM, Wolf U, Wolf M, A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology, NeuroImage 85 :6–27, 2013. Crossref, ISI, Google Scholar
    • 20. Torricelli A, Contini D, Pifferi A, Caffini M, Re R, Zucchellli L, Spinelli L, Time domain functional NIRS imaging for human brain mapping, NeuroImage 85 :28–50, 2014. Crossref, ISI, Google Scholar
    • 21. Davies DJ, Clancy M, Dehqhani H, Lucas SJE, Forcione M, Yakoub KM, Belli A, Cerebral oxygenation in traumatic brain injury: Can a non-invasive frequency domain near-infrared spectroscopy device detect changes in brain tissue oxygen tension as well as the established invasive monitor?, J Neurotrauma 36: 1175–1183, 2019. Crossref, ISI, Google Scholar
    • 22. Wolf M, Wolf U, Choi JH, Toronov V, Paunescu LA, Michalos A, Gratton E, Fast cerebral functional signal in the 100-ms range detected in the visual cortex by frequency-domain near-infrared spectrophotometry, Psychophysiology 40 :521–528, 2003. Crossref, ISI, Google Scholar
    • 23. Hara Y, Obayashi S, Tsujiuchi K, Muraoka Y, The effects of electrical stimulation on upper extremity function and cortical perfusion in stroke patients, Clin Neurophysiol 124 :2008–2015, 2013. Crossref, ISI, Google Scholar
    • 24. Bae SJ, Jang SH, Seo JP, Chang PH, A pilot study on the optimal speeds for passive wrist movements by a rehabilitation robot of stroke patients: A functional NIRS study, 2017 Int Conf Rehabilitation Robotics (ICORR), 2017. Crossref, Google Scholar
    • 25. Brunetti M, Morkisch N, Fritzsch C, Mehnert J, Steinbrink J, Niedeggen M, Dohle C, Potential determinants of efficacy of Mirror therapy in stroke patients: A pilot study, Restor Neurol Neurosci 33 :421–434, 2015. ISI, Google Scholar
    • 26. Mihara M, Hattori N, Hatakenaka M, Yagura H, Kawano T, Hino T, Miyai I, Near-infrared spectroscopy-mediated neurofeedback enhances efficacy of motor imagery-based training in poststroke victims: A pilot study, Stroke 44 :1091–1098, 2013. Crossref, ISI, Google Scholar
    • 27. Mihara M, Miyai I, Hattori N, Neurofeedback using real-time near-infrared spectroscopy enhances motor imagery related cortical activation. PLoS ONE 7 :e32234, 2012. Crossref, ISI, Google Scholar
    • 28. Jurkiewicz MT, Crawley AP, Mikulis DJ, Is rest really rest? Resting-state functional connectivity during rest and motor task paradigm, Brain Connect 8 :268–275, 2018. Crossref, ISI, Google Scholar
    • 29. Lim SB, Eng JJ, Increased sensorimotor cortex activation with decreased motor performance during functional upper extremity tasks poststroke, J Neurol Phys Ther 43 :141–150, 2019. Crossref, ISI, Google Scholar
    • 30. Takeda K, Gomi Y, Imai I, Shimoda N, Hiwatari M, Kato H, Shift of motor activation areas during recovery from hemiparesis after cerebral infarction: A longitudinal study with near-infrared spectroscopy, Neurosci Res 59 :136–144, 2007. Crossref, ISI, Google Scholar
    • 31. Uga M, Dan I, Sano T, Dan H, Watanabe E, Optimizing the general linear model for functional near-infrared spectroscopy: An adaptive hemodynamic response function approach, Neurophotonics 1 :015004, 2014. Crossref, ISI, Google Scholar
    • 32. Murata Y, Sakatani K, Hoshino T, Fujiwara N, Kano T, Nakamura S, Katayama Y, Effects of cerebral ischemia on evoked cerebral blood oxygenation responses and BOLD contrast functional MRI in stroke patients, Stroke 37 :2514–2520, 2006. Crossref, ISI, Google Scholar
    • 33. Kato H, Izumiyama M, Koizumi H, Takahashi A, Itoyama Y, Near-infrared spectroscopic topography as a tool to monitor reorganization after hemiparetic stroke: A comparison with functional MRI, Stroke 33 :2032–2036, 2002. Crossref, ISI, Google Scholar
    • 34. Saita K, Morishita T, Hyakutake K, Fukuda H, Shiota E, Sankai Y, Inoue T, Combined therapy using botulinum toxin A and single-joint hybrid assistive limb for upper-limb disability due to spastic hemiplegia, J Neurol Sci 373 :182–187, 2017. Crossref, ISI, Google Scholar
    • 35. Urushidani N, Kinoshita S, Okamoto T, Tamashiro H, Abo M, Low-frequency rTS and intensive occupational therapy improve upper limb motor function and cortical reorganization assessed by functional near-infrared spectroscopy in a subacute stroke patient, Case Rep Neurol 10 :223–231, 2018. Crossref, ISI, Google Scholar
    • 36. Tamashiro H, Kinoshita S, Okamotor T, Urushidani N, Abo M, Effect of baseline brain activity on response to low-frequency rTMS/intensive occupational threrapy in poststroke patients with upper limb hemiparesis: a near-infrared spectroscopy study, Int J Neurosci 129 :337–343, 2019. Crossref, ISI, Google Scholar
    • 37. Khan B, Hodics T, Hervey N, Kondraske G, Stowe A, Alexandrakis G, Enhancing motor performance improvement by personalizing non-invasive cortical stimulation with concurrent functional near-infrared spectroscopy and multi-modal motor measurements, Optical Techniques in Neurosurgery, Neurophotonics, and Optogenetics II, San Francisco, 2015. Google Scholar
    • 38. Pfeifer MD, Scholkmann F, Labruyère R, Signal processing in functional near-infrared spectroscopy (fNIRS): Methodological differences lead to different statistical results, Front Hum Neurosci 11 :641, 2018. Crossref, ISI, Google Scholar
    • 39. Liu Q, Wang B, Liu Y, Lv Z, Li W, Li Z, Fan Y, Frequency-specific effective connectivity in subjects with cerebral infarction as revealed by NIRS method, Neuroscience 373 :169–181, 2018. Crossref, ISI, Google Scholar
    • 40. Saita K, Morishita T, Arima H, Hyakutake K, Ogata T, Yagi K, Shiota E, Inoue T, Biofeedback effect of hybrid assistive limb in stroke rehabilitation: A proof of concept study using functional near infrared spectroscopy, PLoS ONE 13 :e0191361, 2018. Crossref, ISI, Google Scholar
    • 41. Molteni E, Wabnitz H, Bianchi AM, Steinkellner O, Sander-Thoemmes T, Geisler F, Mackert BM, Leistner S, Cerutti S, GLM analysis of time resolved NIRS data of motor activation during different motor tasks, 35th Annu Int Conf IEEE Engineering in Medicine and Biology Society, 2013, pp. 1787–1790. Crossref, Google Scholar
    • 42. Delorme M, Vergotte G, Perrey S, Froger J, Laffont I, Time course of sensorimotor cortex reorganization during upper extremity task accompanying motor recovery early after stroke: An fNIRS study, Restor Neurol Neurosci 37 :207–218, 2019. ISI, Google Scholar
    Published: 17 March 2020