FGANet: fNIRS-Guided Attention Network for Hybrid EEG-fNIRS Brain-Computer Interfaces
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022 Non-invasive brain-computer interfaces (BCIs) have been widely used for neural decoding, linking neural signals to control devices. Hybrid BCI systems using electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) have received ...
Youngchul Kwak +2 more
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fNIRS-QC: Crowd-Sourced Creation of a Dataset and Machine Learning Model for fNIRS Quality Control
Applied Sciences (Switzerland), 2021 Despite technological advancements in functional Near Infra-Red Spectroscopy (fNIRS) and a rise in the application of the fNIRS in neuroscience experimental designs, the processing of fNIRS data remains characterized by a high number of heterogeneous ...
Giulio Gabrieli +2 more
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Wearable, Integrated EEG–fNIRS Technologies: A Review
Sensors, 2021 There has been considerable interest in applying electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) simultaneously for multimodal assessment of brain function.
Julie Uchitel +2 more
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IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 The diagnosis of mild cognitive impairment (MCI), a prodromal stage of Alzheimer’s disease (AD), is essential for initiating timely treatment to delay the onset of AD.
Chutian Zhang +2 more
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Frontiers in Integrative Neuroscience, 2023 Functional Near-Infrared Spectroscopy (fNIRS) is an innovative and promising neuroimaging modality for studying brain activity in real-world environments.
Marta Ceko, Lucca Eloy, Pilyoung Kim
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Hemodynamic Analysis of the Prefrontal Cortex to Verify the Relationship Between Athlete Performance Level and Auditory-Spatial Working Memory: A Functional Near-Infrared Spectroscopy Study [PDF]
운동과학, 2021 PURPOSE The purpose of this study was to investigate the difference between the performance level and working memory of athletes through behavioral response measurements and hemodynamic measurements of the prefrontal cortex. METHODS The study included 12
태석 장, 서진 윤
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Identification of the Cognitive Interference Effect Related to Stroop Stimulation: Using Dynamic Causal Modeling of Effective Connectivity in Functional Near-Infrared Spectroscopy (fNIRS) [PDF]
Journal of Biomedical Physics and Engineering, 2020 Background: The Stroop test is a well-known model to denote the decline in performance under the incongruent condition, which requires selective attention and control of competitive responses.
M Yousef Pour +6 more
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Effects of Eye Movement Exercise on Cognitive Function and Prefrontal Cortex Connectivity for the Elderly with Mild Cognitive Impairment: An fNIRS Study [PDF]
Cheyuk gwahag yeon-gu, 2023 PURPOSE The purpose of this study was to examine the effects of an eye movement exercise intervention on cognitive function and prefrontal cortex connectivity in the elderly with mild cognitive impairment.
Miyoung Roh, Taiseok Chang
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A Comprehensive Bibliometric Analysis of fNIRS and fMRI Technology in Neuromarketing
Scientific Annals of Economics and Business, 2023 The aim of this study is to perform a comprehensive bibliometric analysis of functional near-infrared spectroscopy (fNIRS) and functional magnetic resonance imaging (fMRI) tools.
Ahmed Alsharif +2 more
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Journal of Integrative Neuroscience, 2021 Near-infrared spectroscopy (NIRS) has been largely used in neuroscience as an alternative non-invasive neuroimaging technique, primarily to measure the oxygenation levels of cerebral haemoglobin.
Matteo Martini +1 more
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