Real-time imaging of human brain function by near-infrared spectroscopy using an adaptive general linear model

Abdelnour, A. Farras; Huppert, Theodore J.

doi:10.1016/j.neuroimage.2009.01.033

Cited by 187 publications

(187 citation statements)

References 52 publications

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“…A further class of approaches is based on state-space modeling using Kalman filtering (Abdelnour and Huppert, 2009;Diamond et al, 2005Diamond et al, , 2006Gagnon et al, 2011Gagnon et al, , 2014Kamrani et al, 2012;Kolehmainen et al, 2003;Prince et al, 2003) or recursive least-squares estimation (Aqil et al, 2012a,b). State-space methods model the data as a system with time-varying parameters that have to be estimated.…”

Section: Multivariate Methods Of Typementioning

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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Section: Multivariate Methods Of Typementioning

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

View full text Add to dashboard Cite

show abstract

“…BCIs that solely rely on NIRS have been realized recently [18,19]. However, when looking at plain NIRS classification rates, it becomes apparent that NIRS cannot be seen as a viable alternative to EEG-based BCIs on its own.…”

Section: Multi-modal Recordings For Bcimentioning

confidence: 99%

Brain Computer Interfacing: A Multi-Modal Perspective

Fazli¹,

Lee²

2013

Journal of Computing Science and Engineering

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Multi-modal techniques have received increasing interest in the neuroscientific and brain computer interface (BCI) communities in recent times. Two aspects of multi-modal imaging for BCI will be reviewed. First, the use of recordings of multiple subjects to help find subject-independent BCI classifiers is considered. Then, multi-modal neuroimaging methods involving combined electroencephalogram and near-infrared spectroscopy measurements are discussed, which can help achieve enhanced and robust BCI performance.

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“…Adaptation learning task with the 3-dimensional robotic rehabilitation system (Sitaram et al, 2007). As another approach, the real-time analysis of the NIRS signal with an adaptive general linear model using Kalman filtering was also reported (Abdelnour & Huppert, 2009). …”

Section: Future Directions Of Functional Nirs In the Rehabilitation Fmentioning

confidence: 99%

Applications of Near Infrared Spectroscopy in Neurorehabilitation

Mihara¹,

Miyai²

2012

Infrared Spectroscopy - Life and Biomedical Sciences

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Real-time imaging of human brain function by near-infrared spectroscopy using an adaptive general linear model

Cited by 187 publications

References 52 publications

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

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

Brain Computer Interfacing: A Multi-Modal Perspective

Applications of Near Infrared Spectroscopy in Neurorehabilitation

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