A NIRS–fMRI study of resting state network

Sasai, Shuntaro; Homae, Fumitaka; Watanabe, H.; Sasaki, Akihiro; Tanabe, Hiroki C.; Sadato, Norihiro; Taga, Gentaro

doi:10.1016/j.neuroimage.2012.06.011

Cited by 135 publications

(122 citation statements)

References 104 publications

(167 reference statements)

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“…Although it may be difficult to apply with the pediatric population, the concordance ratio among language laterality indices may be increased by extending the resting recording duration from 5 to 10 consecutive minutes, as in previous studies. 35,37,39 Another limitation of this study is potential contamination of the fcNIRS data by the language task activation. Although multiple measures were taken to prevent contamination (specific instructions given to all participants, fcNIRS data selected in the first rest period preceding category noun presentations for each block, a break of 2 to 3 min between blocks), the participants may still have been rehearsing words from the previous category or the residual HbO changes from the previous language task may have still been present.…”

Section: Discussionmentioning

confidence: 99%

“…[34][35][36][37] Brain mapping with fcMRI and fcNIRS has shown good spatial correlations, 38,39 and good test-retest reliability has been reported with fcNIRS. 40 The higher temporal resolution of NIRS (∼1 ms) as compared to fMRI (seconds) 41 may prevent confounding of physiological noise, such as respiratory and cardiovascular activity, with intrinsic activity.…”

Section: Introductionmentioning

confidence: 96%

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Language mapping in children using resting-state functional connectivity: comparison with a task-based approach

Gallagher¹,

Tremblay²,

Vannasing³

2016

J. Biomed. Opt

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Abstract. Patients with brain tumor or refractory epilepsy may be candidates for neurosurgery. Presurgical evaluation often includes language investigation to prevent or reduce the risk of postsurgical language deficits. Current techniques involve significant limitations with pediatric populations. Recently, near-infrared spectroscopy (NIRS) has been shown to be a valuable neuroimaging technique for language localization in children. However, it typically requires the child to perform a task (task-based NIRS), which may constitute a significant limitation. Resting-state functional connectivity NIRS (fcNIRS) is an approach that can be used to identify language networks at rest. This study aims to assess the utility of fcNIRS in children by comparing fcNIRS to more conventional task-based NIRS for language mapping in 33 healthy participants: 25 children (ages 3 to 16) and 8 adults. Data were acquired at rest and during a language task. Results show very good concordance between both approaches for language localization (Dice similarity coefficient ¼ 0.81 AE 0.13) and hemispheric language dominance (kappa ¼ 0.86, p < 0.006). The fcNIRS technique may be a valuable tool for language mapping in clinical populations, including children and patients with cognitive and behavioral impairments. © The Authors.Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Language mapping in children using resting-state functional connectivity: comparison with a task-based approach

Gallagher¹,

Tremblay²,

Vannasing³

2016

J. Biomed. Opt

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“…In addition, it has been shown that the PCA regression does not introduce spurious anti-correlations unlike the general global average signal [49]. Next, the time courses were band-pass filtered between 0.009 and 0.08 Hz so that low-frequency interference noise could also be removed [30,50,51]. This low-pass frequency cutoff also removes high frequency physiological noise due to heart beat (~0.8 Hz) and cardiac cycles (~1 Hz).…”

Section: Nirs Methodsmentioning

confidence: 99%

Resting state connectivity patterns with near-infrared spectroscopy data of the whole head

Novi

Rodrigues

Mesquita

2016

Biomed. Opt. Express

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Abstract:Resting state cerebral dynamics has been a useful approach to explore the brain's functional organization. In this study, we employed graph theory to deeply investigate resting state functional connectivity (rs-FC) as measured by near-infrared spectroscopy (NIRS). Our results suggest that network parameters are very similar across time and subjects. We also identified the most frequent connections between brain regions and the main hubs that participate in the spontaneous activity of brain hemodynamics. Similar to previous findings, we verified that symmetrically located brain areas are highly connected. Overall, our results introduce new insights in NIRS-based functional connectivity at rest.

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“…non-evoked) is also associated with neurovascular coupling and contributes to the variability of fNIRI signals. This component can be used to assess the so called "resting-state functional connectivity" of the brain (Greicius et al, 2009;Raichle, 2009;Sasai et al, 2012;White et al, 2009), which can be directly measured using electroencephalography (EEG) or magnetoencephalography (MEG), and indirectly using fNIRI, magnetic resonance imaging (fMRI) or positron emission tomography (PET). The type of functional connectivity measured using EEG or MEG (i.e.…”

Section: Classification Of Signal Componentsmentioning

confidence: 99%

A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology

Scholkmann¹,

Kleiser²,

Metz³

et al. 2014

NeuroImage

1,523

1,394

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This year marks the 20th anniversary of functional near-infrared spectroscopy and imaging (fNIRS/fNIRI). As the vast majority of commercial instruments developed until now are based on continuous wave technology, the aim of this publication is to review the current state of instrumentation and methodology of continuous wave fNIRI. For this purpose we provide an overview of the commercially available instruments and address instrumental aspects such as light sources, detectors and sensor arrangements. Methodological aspects, algorithms to calculate the concentrations of oxy-and deoxyhemoglobin and approaches for data analysis are also reviewed. From the single-location measurements of the early years, instrumentation has progressed to imaging initially in two dimensions (topography) and then three (tomography). The methods of analysis have also changed tremendously, from the simple modified Beer-Lambert law to sophisticated image reconstruction and data analysis methods used today. Due to these advances, fNIRI has become a modality that is widely used in neuroscience research and several manufacturers provide commercial instrumentation. It seems likely that fNIRI will become a clinical tool in the foreseeable future, which will enable diagnosis in single subjects. This year marks the 20th anniversary of functional near-infrared spectroscopy and imaging (fNIRS/fNIRI). As the vast majority of commercial instruments developed until now are based on continuous wave technology, the aim of this publication is to review the current state of instrumentation and methodology of continuous wave fNIRI. For this purpose we provide an overview of the commercially available instruments and address instrumental aspects such as light sources, detectors and sensor arrangements. Methodological aspects, algorithms to calculate the concentrations of oxy-and deoxyhemoglobin and approaches for data analysis are also reviewed. From the single-location measurements of the early years, instrumentation has progressed to imaging initially in two dimensions (topography) and then three (tomography). The methods of analysis have also changed tremendously, from the simple modified Beer-Lambert law to sophisticated image reconstruction and data analysis methods used today. Due to these advances, fNIRI has become a modality that is widely used in neuroscience research and several manufacturers provide commercial instrumentation. It seems likely that fNIRI will become a clinical tool in the foreseeable future, which will enable diagnosis in single subjects. Contents

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A NIRS–fMRI study of resting state network

Cited by 135 publications

References 104 publications

Language mapping in children using resting-state functional connectivity: comparison with a task-based approach

Language mapping in children using resting-state functional connectivity: comparison with a task-based approach

Resting state connectivity patterns with near-infrared spectroscopy data of the whole head

A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology

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