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
… The so-called neurovascular coupling forms the theoretical basis for integrated fNIRSEEG
imaging of brain activity. It has been shown in recent studies that impairment of …

Simultaneous measurement of EEG-fNIRS in classifying and localizing brain activation to mental stress

F Al-Shargie, TB Tang, N Badruddin… - … Conference on Signal …, 2015 - ieeexplore.ieee.org
… measurement of EEG and fNIRS in classifying and localizing the activation of the prefrontal
cortex due to stress stimuli during an arithmetic task. The correlation of EEG alpha rhythm …

Feature extraction and classification methods for hybrid fNIRS-EEG brain-computer interfaces

KS Hong, MJ Khan, MJ Hong - Frontiers in human neuroscience, 2018 - frontiersin.org
… Second, the brain activity that contributes to the generation of hemodynamic signals is
reviewed. Mental arithmetic and word formation tasks are found to be suitable for use with LIS …

[PDF][PDF] Brain activity during the observation, imagery, and execution of tool use: an fNIRS/EEG study

H Nakano, K Ueta, M Osumi, S Morioka - J. Nov. Physiother. S, 2012 - researchgate.net
… spectroscopy (fNIRS)/electroencephalogram (EEG) system to investigate brain activity during
a daily … This study used an fNIRS/EEG system to analyze brain activity occurring during the …

Predicting future performance based on current brain activity: an fNIRS and EEG study

H Ayaz, A Curtin, J Mark, A Kraft… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
… that brain activity measured … Electroencephalogram) from twenty-three volunteers performing
a cognitive task on three different days. We have analyzed the relationship of brain activity

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
fNIRS in a way that compensates for the limitations of each modality, the possibilities of using
hybrid EEG-fNIRS to discriminate specific cerebral activityEEG-fNIRS applications in BCIs. …

Enhancing fNIRS analysis using EEG rhythmic signatures: an EEG-informed fNIRS analysis study

R Li, C Zhao, C Wang, J Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… of brain activity. In this study we developed an EEG-informed-fNIRS analysis framework
to investigate the neuro-correlate between neuronal activity and cerebral hemodynamics by …

[HTML][HTML] Enhanced performance by a hybrid NIRSEEG brain computer interface

S Fazli, J Mehnert, J Steinbrink, G Curio, A Villringer… - Neuroimage, 2012 - Elsevier
… of NIRS data can complement ongoing real-time EEG classification. Our results show that
simultaneous measurements of NIRS and EEG can … Furthermore we find that EEG and NIRS

Simultaneous functional near-infrared spectroscopy and electroencephalography for monitoring of human brain activity and oxygenation: a review

AM Chiarelli, F Zappasodi, F Di Pompeo… - …, 2017 - spiedigitallibrary.org
… recording procedures of brain activity. fNIRS and EEG are both scalp-located procedures. …
Part of the combined fNIRSEEG studies focused on characterizing brain activity during …

Neural activity and decoding of action observation using combined EEG and fNIRS measurement

S Ge, P Wang, H Liu, P Lin, J Gao, R Wang… - Frontiers in human …, 2019 - frontiersin.org
… complex brain networks based on EEG and fNIRS data to classify the brain activity … We
expected that the brain activation analysis method based on EEG-fNIRS bimodal signals in the …