MODERN APPLICATIONS OF FUNCTIONAL NEAR-INFRARED SPECTROSCOPY (fNIRS) IN THE ASSESSMENT OF COGNITIVE RECOVERY AFTER STROKE: A LITERATURE REVIEW
Keywords:
stroke, cognitive impairment, fNIRS, neuroimaging, rehabilitation, NIRSITAbstract
The restoration of cognitive functions following a stroke is one of the key objectives in modern neurorehabilitation. Among the current methods used for objectively assessing the effectiveness of treatment, functional near-infrared spectroscopy (fNIRS) is gaining increasing popularity. This technology allows for non-invasive real-time evaluation of cortical brain activity, especially in areas responsible for higher mental functions. This review discusses the theoretical foundations of the fNIRS method, its technical characteristics, clinical applications, and recent research data confirming its effectiveness in assessing neuroplasticity in post-stroke patients. Special attention is given to the NIRSIT device as one of the most commonly used tools in clinical practice.
References
World Health Organization. Global Health Estimates 2021.
Sachdev P. et al. Classifying neurocognitive disorders: the DSM-5 approach. Nat Rev Neurol. 2014;10(11):634–642.
Patel M.D. et al. Cognitive impairment after stroke: clinical determinants and its associations with long-term stroke outcomes. J Am Geriatr Soc. 2002;50(4):700–706.
Cicerone K.D. et al. Evidence-Based Cognitive Rehabilitation: Updated Review. Arch Phys Med Rehabil. 2011;92(4):519–530.
Cutini S., Moro S.B., Bisconti S. Functional near infrared optical imaging in cognitive neuroscience: an introductory review. J Near Infrared Spectrosc. 2012;20:75–92.
Ferrari M., Quaresima V. A brief review on the history of human functional near-infrared spectroscopy (fNIRS). NeuroImage. 2012;63(2):921–935.
Obrig H., Villringer A. Beyond the visible—imaging the human brain with light. J Cereb Blood Flow Metab. 2003;23(1):1–18.
Kato T. et al. Near-infrared spectroscopic topography as a tool to monitor hemodynamic changes in the brain. J Biomed Opt. 2004;9(3):413–420.
Cui X. et al. Functional near infrared spectroscopy (NIRS) signal improvement based on negative correlation between oxygenated and deoxygenated hemoglobin dynamics. NeuroImage. 2010;49(4):3039–3046.
Scholkmann F., Kleiser S., Metz A.J., Zimmermann R., Pavia J.M., Wolf M., Wolf U. A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology. NeuroImage. 2014;85:6–27.
Noah J.A. et al. Portable fNIRS neuroimaging: multichannel measurement of brain activity during cognitive tasks. NeuroImage. 2015;85(1):136–145.
Cutini S., Basso Moro S., Bisconti S. How neuroimaging can enhance the development of cognitive training programs. Front Hum Neurosci. 2012;6:146.
Irani F. et al. Functional near-infrared spectroscopy: emerging neuroimaging technology with distinct advantages for pediatric research. J Neurosci Methods. 2007;186(1):29–38.
Hwang H.J., Kim S., Choi J. Assessment of cognitive function after stroke using portable NIRSIT. Front Hum Neurosci. 2020;14:547.
Kim K.H. et al. Brain activation patterns during cognitive rehabilitation in stroke patients using fNIRS. NeuroRehabilitation. 2021;49(3):313–320.
Wiggins G.C. et al. Activation of the prefrontal cortex in response to memory tasks: fNIRS study. Brain Cogn. 2018;125:78–85.
Scholkmann F. et al. Review on the physiological basis of functional near-infrared spectroscopy. NeuroImage. 2013;85:6–27.
Herff C. et al. Combined fNIRS and EEG for brain-computer interfaces. Int J Bioelectromagn. 2014;16(2):51–56.
Plichta M.M. et al. Event-related functional near-infrared spectroscopy (fNIRS): are the measurements reliable? NeuroImage. 2006;31(1):116–124.