[HTML][HTML] Concurrent fNIRS and EEG for brain function investigation: a systematic, methodology-focused review

R Li, D Yang, F Fang, KS Hong, AL Reiss, Y Zhang - Sensors, 2022 - mdpi.com
Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) stand as
state-of-the-art techniques for non-invasive functional neuroimaging. On a unimodal basis …

[HTML][HTML] Neuroimaging modalities in Alzheimer's disease: diagnosis and clinical features

JH Kim, M Jeong, WR Stiles, HS Choi - International journal of molecular …, 2022 - mdpi.com
Alzheimer's disease (AD) is a neurodegenerative disease causing progressive cognitive
decline until eventual death. AD affects millions of individuals worldwide in the absence of …

Neural biomarker diagnosis and prediction to mild cognitive impairment and Alzheimer's disease using EEG technology

B Jiao, R Li, H Zhou, K Qing, H Liu, H Pan, Y Lei… - Alzheimer's research & …, 2023 - Springer
Background Electroencephalogram (EEG) has emerged as a non-invasive tool to detect the
aberrant neuronal activity related to different stages of Alzheimer's disease (AD). However …

A systematic review on hybrid EEG/fNIRS in brain-computer interface

Z Liu, J Shore, M Wang, F Yuan, A Buss… - … Signal Processing and …, 2021 - Elsevier
As a relatively new field of neurology and computer science, brain computer interface (BCI)
has many established and burgeoning applications across scientific disciplines. Many …

Neural oscillations and brain stimulation in Alzheimer's disease

Z Jafari, BE Kolb, MH Mohajerani - Progress in neurobiology, 2020 - Elsevier
Aging is associated with alterations in cognitive processing and brain neurophysiology.
Whereas the primary symptom of amnestic mild cognitive impairment (aMCI) is memory …

[HTML][HTML] Dynamic inter-brain synchrony in real-life inter-personal cooperation: A functional near-infrared spectroscopy hyperscanning study

R Li, N Mayseless, S Balters, AL Reiss - NeuroImage, 2021 - Elsevier
How two brains communicate with each other during social interaction is highly dynamic and
complex. Multi-person (ie, hyperscanning) studies to date have focused on analyzing the …

Resting-state EEG dynamic functional connectivity distinguishes non-psychotic major depression, psychotic major depression and schizophrenia

H Chen, Y Lei, R Li, X **a, N Cui, X Chen, J Liu… - Molecular …, 2024 - nature.com
This study aims to identify dynamic patterns within the spatiotemporal feature space that are
specific to nonpsychotic major depression (NPMD), psychotic major depression (PMD), and …

An EEG-fNIRS hybridization technique in the four-class classification of alzheimer's disease

PA Cicalese, R Li, MB Ahmadi, C Wang… - Journal of neuroscience …, 2020 - Elsevier
Background Alzheimer's disease (AD) is projected to become one of the most expensive
diseases in modern history, and yet diagnostic uncertainties exist that can only be confirmed …

Analysis of human gait using hybrid EEG-fNIRS-based BCI system: a review

H Khan, N Naseer, A Yazidi, PK Eide… - Frontiers in Human …, 2021 - frontiersin.org
Human gait is a complex activity that requires high coordination between the central nervous
system, the limb, and the musculoskeletal system. More research is needed to understand …

Current opinions on the present and future use of functional near-infrared spectroscopy in psychiatry

R Li, H Hosseini, M Saggar, SC Balters… - …, 2023 - spiedigitallibrary.org
Functional near-infrared spectroscopy (fNIRS) is an optical imaging technique for assessing
human brain activity by noninvasively measuring the fluctuation of cerebral oxygenated-and …