Results 131 to 140 of about 579,587 (260)
Frontiers in Human Neuroscience, 2020 The feasibility of the random subspace ensemble learning method was explored to improve the performance of functional near-infrared spectroscopy-based brain-computer interfaces (fNIRS-BCIs).
Jaeyoung Shin
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Advanced Science, Volume 12, Issue 18, May 15, 2025.There is growing interest in understanding how classroom teaching works, but previous theories and studies leave a gap in the neurocognitive mechanisms involved in real classroom teaching. Here we show that during real classroom teaching, students' middle frontal cortex serves as a hub of a rapid cortical learning process, supporting their knowledge ...
Xiaodan Feng +6 more
wiley +1 more source
Stress Assessment Based on Decision Fusion of EEG and fNIRS Signals
IEEE Access, 2017 emergingFusion of electroencephalography (EEG) and functional near infrared spectroscopy (fNIRS) is an emerging approach in the field of psychological and neurological studies.
Fares Al-Shargie +2 more
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Short-Term Effects of Meditation on Sustained Attention as Measured by fNIRS
Brain Sciences, 2020 Cognitive abilities such as attention, memory, processing time, perception, and reasoning can be augmented using some type of intervention. Within the broad range of conventional and unconventional intervention methods used in cognitive enhancement ...
Meltem Izzetoglu +5 more
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Brain and Behavior, Volume 15, Issue 5, May 2025.Rhythmic auditory stimulation may ameliorate freezing of gait through two potential mechanisms: (1) activating the supplementary motor area and the left primary motor cortex of the lower limb and (2) reducing the stability of brain connectivity states, through which modulating the dynamic regulation of brain connectivity. ABSTRACT Introduction Freezing
Chen Liu +5 more
wiley +1 more source
Activation detection in functional near-infrared spectroscopy by wavelet coherence [PDF]
, 2015 Functional near-infrared spectroscopy (fNIRS) detects hemodynamic responses in the cerebral cortex by transcranial spectroscopy. However, measurements recorded by fNIRS not only consist of the desired hemodynamic response but also consist of a number of ...
Jiang, Tianzi +7 more
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The Journal of Clinical Pharmacology, Volume 65, Issue 5, Page 535-549, May 2025.Abstract Recreational cannabis use has increased notably in the United States in the past decade, with a recent surge in oral consumption. This trend has raised concerns about driving under the influence. Current cannabis‐impaired driving laws lack standardization, with some states implementing blood Δ9‐tetrahydrocannabinol (THC) per se limits (1, 2 ...
Peizhi Li, Guohua An
wiley +1 more source
Assessment of cerebrovascular dysfunction after traumatic brain injury with fMRI and fNIRS
NeuroImage: Clinical, 2020 Traumatic cerebral vascular injury (TCVI) is a frequent, but under-recognized, endophenotype of traumatic brain injury (TBI). It likely contributes to functional deficits after TBI and TBI-related chronic disability, and represents an attractive target ...
Franck Amyot +7 more
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Acta Psychologica, 2022 Functional near-infrared spectroscopy (fNIRS) is a non-invasive optical imaging technique that employs near-infrared light to measure cortical brain oxygenation. The use of fNIRS has increased exponentially in recent years.
Tania Llana +4 more
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Simple But Effective: Rethinking the Ability of Deep Learning in fNIRS to Exclude Abnormal Input [PDF]
Functional near-infrared spectroscopy (fNIRS) is a non-invasive technique for monitoring brain activity. To better understand the brain, researchers often use deep learning to address the classification challenges of fNIRS data. Our study shows that while current networks in fNIRS are highly accurate for predictions within their training distribution ...
arxiv +1 more source