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 …

Wearable, integrated eeg–fnirs technologies: A review

J Uchitel, EE Vidal-Rosas, RJ Cooper, H Zhao - Sensors, 2021 - mdpi.com
There has been considerable interest in applying electroencephalography (EEG) and
functional near-infrared spectroscopy (fNIRS) simultaneously for multimodal assessment of …

[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 …

Functional connectivity drives stroke recovery: shifting the paradigm from correlation to causation

JM Cassidy, JI Mark, SC Cramer - Brain, 2022 - academic.oup.com
Stroke is a leading cause of disability, with deficits encompassing multiple functional
domains. The heterogeneity underlying stroke poses significant challenges in the prediction …

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 …

fNIRS-EEG BCIs for motor rehabilitation: a review

J Chen, Y ** clinicians personalize treatment and maximize outcomes. Electroencephalography …

Classification of working memory loads via assessing broken detailed balance of EEG-fNIRS neurovascular coupling measures

Y Gao, H Liu, F Fang, Y Zhang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Human brain breaks the detailed balance to drive a variety of cognitive functions, such as
memory. Recently, a promising classification framework of working memory loads has been …

Revisiting the role of computational neuroimaging in the era of integrative neuroscience

AM Loosen, A Kato, X Gu - Neuropsychopharmacology, 2024 - nature.com
Computational models have become integral to human neuroimaging research, providing
both mechanistic insights and predictive tools for human cognition and behavior. However …