fNIRS-QC: Crowd-Sourced Creation of a Dataset and Machine Learning Model for fNIRS Quality Control [PDF]
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 ...
Michelle Jin Yee NEOH +2 more
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FGANet: fNIRS-Guided Attention Network for Hybrid EEG-fNIRS Brain-Computer Interfaces [PDF]
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 ...
Seong-Eun Kim +2 more
exaly +6 more sources
Wearable, Integrated EEG–fNIRS Technologies: A Review [PDF]
Sensors, 2021 There has been considerable interest in applying electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) simultaneously for multimodal assessment of brain function.
Robert Cooper +2 more
exaly +9 more sources
Functional near-infrared spectroscopy (fNIRS) in medical research: applications, opportunities, and challenges [PDF]
Chinese MedicinefNIRS is an innovative and non-invasive tool for monitoring hemodynamic changes in the cerebral cortex. In recent years, it has become a widely used intervention method in the medical field for treating various diseases due to its portability and ...
Qingya Yu +12 more
doaj +2 more sources
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
doaj +1 more source
Aching face and hand: the interoceptive attentiveness and social context in relation to empathy for pain [PDF]
Journal of Integrative Neuroscience, 2022 This research explored how the manipulation of interoceptive attentiveness (IA) can influence the frontal (dorsolateral prefrontal cortex (DLPFC) and somatosensory cortices) activity associated with the emotional regulation and sensory response of ...
Michela Balconi, Laura Angioletti
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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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Physical Education Theory and Methodology, 2021 Several neuroimaging studies have examined the effect of different types and combinations of exercises on activation of brain associated with cognitive testing but none of these studies have examined the role of high intensity intermittent exercise (HIIE)
Shweta Shenoy +2 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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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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