From lab to life: challenges and perspectives of fNIRS for haemodynamic-based neurofeedback in real-world environments
Neurofeedback allows individuals to monitor and self-regulate their brain activity, potentially
improving human brain function. Beyond the traditional electrophysiological approach using …
improving human brain function. Beyond the traditional electrophysiological approach using …
Optimizing spatial specificity and signal quality in fNIRS: an overview of potential challenges and possible options for improving the reliability of real-time applications
F Klein - Frontiers in Neuroergonomics, 2024 - frontiersin.org
The optical brain imaging method functional near-infrared spectroscopy (fNIRS) is a
promising tool for real-time applications such as neurofeedback and brain-computer …
promising tool for real-time applications such as neurofeedback and brain-computer …
TPat: Transition pattern feature extraction based Parkinson's disorder detection using FNIRS signals
Abstract Background and Objective Parkinson's Disease (PD) is one of the most commonly
observed neurodegenerative disorders worldwide. Many researchers have utilized machine …
observed neurodegenerative disorders worldwide. Many researchers have utilized machine …
mBGT: Encoding Brain Signals With Multimodal Brain Graph Transformer
C Peng, T Guo, C Xie, X Bai, J Zhou… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Leveraging the multimodal brain signals collected from various electronic devices, such as
electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) data, has …
electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) data, has …
Naturalistic auditory stimuli with fNIRS prefrontal cortex imaging: A potential paradigm for disorder of consciousness diagnostics (a study with healthy participants)
T Mizrahi, V Axelrod - Neuropsychologia, 2023 - Elsevier
Disorder of consciousness (DOC) is a devastating condition due to brain damage. A patient
in this condition is non-responsive, but nevertheless might be conscious at least at some …
in this condition is non-responsive, but nevertheless might be conscious at least at some …
Neural dynamics of delayed feedback in robot teleoperation: insights from fNIRS analysis
Introduction As robot teleoperation increasingly becomes integral in executing tasks in
distant, hazardous, or inaccessible environments, operational delays remain a significant …
distant, hazardous, or inaccessible environments, operational delays remain a significant …
Exploring the application and challenges of fNIRS technology in early detection of Parkinson's disease
P Hui, Y Jiang, J Wang, C Wang, Y Li… - Frontiers in Aging …, 2024 - frontiersin.org
Background Parkinson's disease (PD) is a prevalent neurodegenerative disorder that
significantly benefits from early diagnosis for effective disease management and …
significantly benefits from early diagnosis for effective disease management and …
An Automatic Motion-Based Artifact Reduction Algorithm for fNIRS in Concurrent Functional Magnetic Resonance Imaging Studies (AMARA–fMRI)
Multimodal functional near-infrared spectroscopy–functional magnetic resonance imaging
(fNIRS–fMRI) studies have been highly beneficial for both the fNIRS and fMRI field as, for …
(fNIRS–fMRI) studies have been highly beneficial for both the fNIRS and fMRI field as, for …
Surface-based integration approach for fNIRS-fMRI reliability assessment
Introduction Studies integrating functional near-infrared spectroscopy (fNIRS) with functional
MRI (fMRI) employ heterogeneous methods in defining common regions of interest in which …
MRI (fMRI) employ heterogeneous methods in defining common regions of interest in which …
[HTML][HTML] An fNIRS representation and fNIRS-scales multimodal fusion method for auxiliary diagnosis of amnestic mild cognitive impairment
S Cheng, P Shang, Y Zhang, J Guan, Y Chen… - … Signal Processing and …, 2024 - Elsevier
Amnestic mild cognitive impairment (aMCI) is the prodromal period of more serious
neurodegenerative diseases (eg, Alzheimer's disease), characterized by declines in …
neurodegenerative diseases (eg, Alzheimer's disease), characterized by declines in …