From lab to life: challenges and perspectives of fNIRS for haemodynamic-based neurofeedback in real-world environments

F Klein, SH Kohl, M Lührs… - Philosophical …, 2024 - royalsocietypublishing.org
Neurofeedback allows individuals to monitor and self-regulate their brain activity, potentially
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 …

TPat: Transition pattern feature extraction based Parkinson's disorder detection using FNIRS signals

T Tuncer, I Tasci, B Tasci, R Hajiyeva, I Tuncer… - Applied Acoustics, 2025 - Elsevier
Abstract Background and Objective Parkinson's Disease (PD) is one of the most commonly
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 …

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 …

Neural dynamics of delayed feedback in robot teleoperation: insights from fNIRS analysis

T Zhou, Y Ye, Q Zhu, W Vann, J Du - Frontiers in Human …, 2024 - frontiersin.org
Introduction As robot teleoperation increasingly becomes integral in executing tasks in
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 …

An Automatic Motion-Based Artifact Reduction Algorithm for fNIRS in Concurrent Functional Magnetic Resonance Imaging Studies (AMARA–fMRI)

LM Hocke, Y Tong, BB Frederick - Algorithms, 2023 - mdpi.com
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 …

Surface-based integration approach for fNIRS-fMRI reliability assessment

A Bonilauri, A Pirastru, FS Intra, S Isernia… - Journal of Neuroscience …, 2023 - Elsevier
Introduction Studies integrating functional near-infrared spectroscopy (fNIRS) with functional
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 …