Applications of functional near-infrared spectroscopy (fNIRS) neuroimaging in exercise–cognition science: a systematic, methodology-focused review
For cognitive processes to function well, it is essential that the brain is optimally supplied
with oxygen and blood. In recent years, evidence has emerged suggesting that cerebral …
with oxygen and blood. In recent years, evidence has emerged suggesting that cerebral …
A consensus guide to using functional near-infrared spectroscopy in posture and gait research
Background Functional near-infrared spectroscopy (fNIRS) is increasingly used in the field
of posture and gait to investigate patterns of cortical brain activation while people move …
of posture and gait to investigate patterns of cortical brain activation while people move …
NIRS-KIT: a MATLAB toolbox for both resting-state and task fNIRS data analysis
X Hou, Z Zhang, C Zhao, L Duan, Y Gong, Z Li… - …, 2021 - spiedigitallibrary.org
Significance: Functional near-infrared spectroscopy (fNIRS) has been widely used to probe
human brain function during task state and resting state. However, the existing analysis …
human brain function during task state and resting state. However, the existing analysis …
Deep learning in fNIRS: a review
Significance: Optical neuroimaging has become a well-established clinical and research
tool to monitor cortical activations in the human brain. It is notable that outcomes of …
tool to monitor cortical activations in the human brain. It is notable that outcomes of …
The potential of functional near-infrared spectroscopy-based neurofeedback—a systematic review and recommendations for best practice
Background: The effects of electroencephalography (EEG) and functional magnetic
resonance imaging (fMRI)-neurofeedback on brain activation and behaviors have been …
resonance imaging (fMRI)-neurofeedback on brain activation and behaviors have been …
Using the general linear model to improve performance in fNIRS single trial analysis and classification: a perspective
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 …
signals has gained significant momentum, and fNIRS joined the set of modalities frequently …
Automated processing of fNIRS data—a visual guide to the pitfalls and consequences
LM Hocke, IK Oni, CC Duszynski, AV Corrigan… - Algorithms, 2018 - mdpi.com
With the rapid increase in new fNIRS users employing commercial software, there is a
concern that many studies are biased by suboptimal processing methods. The purpose of …
concern that many studies are biased by suboptimal processing methods. The purpose of …
fMRI-based validation of continuous-wave fNIRS of supplementary motor area activation during motor execution and motor imagery
Compared to functional magnetic resonance imaging (fMRI), functional near infrared
spectroscopy (fNIRS) has several advantages that make it particularly interesting for …
spectroscopy (fNIRS) has several advantages that make it particularly interesting for …
EEG/FNIRS based workload classification using functional brain connectivity and machine learning
There is high demand for techniques to estimate human mental workload during some
activities for productivity enhancement or accident prevention. Most studies focus on a single …
activities for productivity enhancement or accident prevention. Most studies focus on a single …
Functional near-infrared spectroscopy to study cerebral hemodynamics in older adults during cognitive and motor tasks: a review
The integrity of the frontal areas of the brain, specifically the prefrontal cortex, are critical to
preserve cognition and mobility in late life. Prefrontal cortex regions are involved in …
preserve cognition and mobility in late life. Prefrontal cortex regions are involved in …