A systematic review of the application of functional near-infrared spectroscopy to the study of cerebral hemodynamics in healthy aging

MK Yeung, AS Chan - Neuropsychology review, 2021 - Springer
Positron emission tomography (PET) and functional magnetic resonance imaging (fMRI)
studies have shown that healthy aging is associated with functional brain deterioration that …

False positives and false negatives in functional near-infrared spectroscopy: issues, challenges, and the way forward

I Tachtsidis, F Scholkmann - Neurophotonics, 2016 - spiedigitallibrary.org
We highlight a significant problem that needs to be considered and addressed when
performing functional near-infrared spectroscopy (fNIRS) studies, namely the possibility of …

Open access dataset for EEG+ NIRS single-trial classification

J Shin, A von Lühmann, B Blankertz… - … on Neural Systems …, 2016 - ieeexplore.ieee.org
We provide an open access dataset for hybrid brain-computer interfaces (BCIs) using
electroencephalography (EEG) and near-infrared spectroscopy (NIRS). For this, we …

Using the general linear model to improve performance in fNIRS single trial analysis and classification: a perspective

A von Lühmann, A Ortega-Martinez… - Frontiers in human …, 2020 - frontiersin.org
Within a decade, single trial analysis of functional Near Infrared Spectroscopy (fNIRS)
signals has gained significant momentum, and fNIRS joined the set of modalities frequently …

Test-retest reliability of fNIRS in resting-state cortical activity and brain network assessment in stroke patients

G Xu, C Huo, J Yin, Y Zhong, G Sun, Y Fan… - Biomedical Optics …, 2023 - opg.optica.org
Resting-state functional near infrared spectroscopy (fNIRS) scanning has attracted
considerable attention in stroke rehabilitation research in recent years. The aim of this study …

Transformer model for functional near-infrared spectroscopy classification

Z Wang, J Zhang, X Zhang, P Chen… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Functional near-infrared spectroscopy (fNIRS) is a promising neuroimaging technology. The
fNIRS classification problem has always been the focus of the brain-computer interface …

A ternary hybrid EEG-NIRS brain-computer interface for the classification of brain activation patterns during mental arithmetic, motor imagery, and idle state

J Shin, J Kwon, CH Im - Frontiers in neuroinformatics, 2018 - frontiersin.org
The performance of a brain-computer interface (BCI) can be enhanced by simultaneously
using two or more modalities to record brain activity, which is generally referred to as a …

A hybrid ERD/SSVEP BCI for continuous simultaneous two dimensional cursor control

BZ Allison, C Brunner, C Altstätter, IC Wagner… - Journal of neuroscience …, 2012 - Elsevier
We introduce a new type of BCI for continuous simultaneous two dimensional cursor control.
Users tried to control the vertical position of a virtual ball via ERD activity associated with …

Maintaining gait performance by cortical activation during dual-task interference: a functional near-infrared spectroscopy study

CF Lu, YC Liu, YR Yang, YT Wu, RY Wang - PloS one, 2015 - journals.plos.org
In daily life, mobility requires walking while performing a cognitive or upper-extremity motor
task. Although previous studies have evaluated the effects of dual tasks on gait performance …

Towards a system-paced near-infrared spectroscopy brain–computer interface: differentiating prefrontal activity due to mental arithmetic and mental singing from the …

SD Power, A Kushki, T Chau - Journal of neural engineering, 2011 - iopscience.iop.org
Near-infrared spectroscopy (NIRS) has recently been investigated as a non-invasive brain–
computer interface (BCI) for individuals with severe motor impairments. For the most part …