A Systemic Review of Functional Near-Infrared Spectroscopy for Stroke: Current Application and Future Directions

Yang, Minsheng; Yang, Zhen; Yuan, Ti‐Fei; Feng, Wuwei; Wang, Pu

doi:10.3389/fneur.2019.00058

Cited by 105 publications

(87 citation statements)

References 112 publications

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“…Previous studies using fNIRS in stroke patients have reported compensatory changes of brain activity compared with that in normal subjects (see ref. [22][23][24] . for review).…”

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confidence: 99%

Functional near-infrared-spectroscopy-based measurement of changes in cortical activity in macaques during post-infarct recovery of manual dexterity

Kato

Yamada

Kawaguchi

et al. 2020

Sci Rep

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Because compensatory changes in brain activity underlie functional recovery after brain damage, monitoring of these changes will help to improve rehabilitation effectiveness. Functional nearinfrared spectroscopy (fNIRS) has the potential to measure brain activity in freely moving subjects. We recently established a macaque model of internal capsule infarcts and an fniRS system for use in the monkey brain. Here, we used these systems to study motor recovery in two macaques, for which focal infarcts of different sizes were induced in the posterior limb of the internal capsule. Immediately after the injection, flaccid paralysis was observed in the hand contralateral to the injected hemisphere. Thereafter, dexterous hand movements gradually recovered over months. After movement recovery, task-evoked hemodynamic responses increased in the ventral premotor cortex (PMv). The response in the PMv of the infarcted (i.e., ipsilesional) hemisphere increased in the monkey that had received less damage. In contrast, the PMv of the non-infarcted (contralesional) hemisphere was recruited in the monkey with more damage. A pharmacological inactivation experiment with muscimol suggested the involvement of these areas in dexterous hand movements during recovery. These results indicate that fNIRS can be used to evaluate brain activity changes crucial for functional recovery after brain damage.Neuronal motor systems have the capacity for functional recovery following brain damage such as that induced by stroke, and functional recovery can be enhanced by postlesion rehabilitative training 1,2 . Compensatory activity changes in the brain areas that remain undamaged are thought to underlie functional recovery 1,3-16 . Therefore, it is important to monitor brain activity during rehabilitative training to determine whether the training is actually inducing appropriate brain activity changes. Clinical studies in human stroke patients, as well as experimental studies in animals in which damage is artificially induced in a specific region in the brain, have helped to elucidate the compensatory changes of brain activity that occur during the course of functional recovery 1,7-10,17 .We previously established a macaque model for inducing artificial damage in brain regions involved in the transduction of motor commands 2,18,19 . The motor cortex and corticospinal tract of macaque monkeys are more comparable to those of humans than are those of other animals used in experimental research (see ref. 20 . for review). This motor system homology with that of humans, in combination with the relatively large macaque brain, makes imaging data obtained in macaque monkeys comparable to data obtained in clinical research. Therefore, studying macaque models of brain damage can facilitate the translation of findings to stroke patients.Brain damage related to hand functionality can greatly affect the quality of human life and is therefore an important area of study. Using H 2 15 O-positron emission tomography (PET) scans in macaque monkeys, we previously showe...

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“…Previous studies using fNIRS in stroke patients have reported compensatory changes of brain activity compared with that in normal subjects (see ref. [22][23][24] . for review).…”

mentioning

confidence: 99%

Functional near-infrared-spectroscopy-based measurement of changes in cortical activity in macaques during post-infarct recovery of manual dexterity

Kato

Yamada

Kawaguchi

et al. 2020

Sci Rep

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“…For consumer-affordable BCIs, electroencephalography (EEG) is the most suitable technique, allowing non-invasive brain signal acquisition, however some other modalities such as near-infrared spectroscopy (NIRS) or magnetoencephalography (MEG) is also promising to become consumer-available in the next years (Yang et al, 2019;Boto et al 2018). EEG measures electrical activity from the brain via multiple electrodes placed across the scalp.…”

Section: Gamesmentioning

confidence: 99%

Playing a P300-based BCI VR game leads to changes in cognitive functions of healthy adults

Bulat

Karpman²,

Samokhina³

et al. 2020

Preprint

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In this paper, we present the results of a study to determine the effect of the P300-based brain-computer interface (BCI) virtual reality game on the cognitive functions of healthy human subjects. This study is a part of on-going research related to evaluation of the long-term effect of P300 training in Virtual Reality surrounding (VR game) on the cognitive performance of the young healthy population.A comparison of results between 3 groups of participants (15 people each) revealed the progressing difference in cognitive assessment for experimental group played P300-BCI VR game, showing the positive increase in flanker and conjunction visual search task performance associated with selective attention and mental inhibition. We show that the effect is due to the use of P300 BCI paradigm. Our results suggest that P300 BCI games combined with virtual reality can not only be used for rehabilitation in patients with slight mental disorders or elderly, but for increasing some cognitive functions in healthy subjects, giving an additional improvement in learning in case of combination with possible educational tasks or used for attention training. K E Y W O R D S

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“…These enormous practical advantages of non-invasive diffuse optical imaging, combined with a strong sensitivity to cerebral hemodynamics and oxygenation, compensate intrinsic limitations in penetration depth and spatial resolution, and account for the large number of applications and the growing interest in this technology. Several review articles cover a variety of topics in cerebral near-infrared spectroscopy (NIRS), including a historical overview (Ferrari and Quaresima, 2012), description of instrumentation and methodology (Scholkmann et al, 2014b), clinical applications (Irani et al, 2007;Smith, 2011;Obrig, 2014;Yang et al, 2019), brain oximetry in newborns and adults (Wolf et al, 2012;Nielsen, 2014;la Cour et al, 2018), and critical perspectives (Fantini et al, 2018;Quaresima and Ferrari, 2019).…”

Section: Introductionmentioning

confidence: 99%

Frequency-Domain Techniques for Cerebral and Functional Near-Infrared Spectroscopy

Fantini

Sassaroli

2020

Front. Neurosci.

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This article reviews the basic principles of frequency-domain near-infrared spectroscopy (FD-NIRS), which relies on intensity-modulated light sources and phase-sensitive optical detection, and its non-invasive applications to the brain. The simpler instrumentation and more straightforward data analysis of continuous-wave NIRS (CW-NIRS) accounts for the fact that almost all the current commercial instruments for cerebral NIRS have embraced the CW technique. However, FD-NIRS provides data with richer information content, which complements or exceeds the capabilities of CW-NIRS. One example is the ability of FD-NIRS to measure the absolute optical properties (absorption and reduced scattering coefficients) of tissue, and thus the absolute concentrations of oxyhemoglobin and deoxyhemoglobin in brain tissue. This article reviews the measured values of such optical properties and hemoglobin concentrations reported in the literature for animal models and for the human brain in newborns, infants, children, and adults. We also review the application of FD-NIRS to functional brain studies that focused on slower hemodynamic responses to brain activity (time scale of seconds) and faster optical signals that have been linked to neuronal activation (time scale of 100 ms). Another example of the power of FD-NIRS data is related to the different regions of sensitivity featured by intensity and phase data. We report recent developments that take advantage of this feature to maximize the sensitivity of non-invasive optical signals to brain tissue relative to more superficial extracerebral tissue (scalp, skull, etc.). We contend that this latter capability is a highly appealing quality of FD-NIRS, which complements absolute optical measurements and may result in significant advances in the field of non-invasive optical sensing of the brain.

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A Systemic Review of Functional Near-Infrared Spectroscopy for Stroke: Current Application and Future Directions

Cited by 105 publications

References 112 publications

Functional near-infrared-spectroscopy-based measurement of changes in cortical activity in macaques during post-infarct recovery of manual dexterity

Functional near-infrared-spectroscopy-based measurement of changes in cortical activity in macaques during post-infarct recovery of manual dexterity

Playing a P300-based BCI VR game leads to changes in cognitive functions of healthy adults

Frequency-Domain Techniques for Cerebral and Functional Near-Infrared Spectroscopy

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