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[HTML][HTML] Evaluation of hemodynamic response function during mental arithmetic task in fNIRS data using GLM method
To understand the complex structure of neural networks in the brain, which is a critical
concept in Neuroscience, it is essential to identify different areas of the brain. Studies on the …
concept in Neuroscience, it is essential to identify different areas of the brain. Studies on the …
Brain activity measurement during a mental arithmetic task in fNIRS signal using continuous wavelet transform
Purpose: Functional Near-Infrared Spectroscopy (fNIRS) is a non-invasive imaging
technology with widespread use in cognitive sciences and clinical studies. It indirectly …
technology with widespread use in cognitive sciences and clinical studies. It indirectly …
Investigation of Functional Brain Connectivity by Electroencephalogram Signals using Data Mining Technique.
Human brain is one of the most complex and the most vital human body organs with different
parts of it being interconnected even if these parts are anatomically separate. It is essential …
parts of it being interconnected even if these parts are anatomically separate. It is essential …
[PDF][PDF] Detection of different levels of multiple sclerosis by assessing nonlinear characteristics of posture
Background: Multiple sclerosis (MS) is a chronic disorder of the central nervous system that
affects various parts of the brain and the spinal cord, leading to interruptions of the nervous …
affects various parts of the brain and the spinal cord, leading to interruptions of the nervous …
[كتاب][B] Assessment of cognition and neuromodulation using functional Near Infrared Spectroscopy (fNIRS) in mental health
AB Curtin - 2020 - search.proquest.com
Prefrontal cortex activity can be effectively and routinely monitored using functional Near-
Infrared Spectroscopy (fNIRS), a non-invasive neuroimaging method that measures cortical …
Infrared Spectroscopy (fNIRS), a non-invasive neuroimaging method that measures cortical …
[PDF][PDF] Modeling multiple sclerosis at different levels using reinforcement learning
Background: Multiple sclerosis (MS) represents one of the most common disorders of the
central nervous system, which leads to the dysfunction of different body systems and …
central nervous system, which leads to the dysfunction of different body systems and …
[PDF][PDF] Detection of different levels of multiple sclerosis by assessing nonlinear characteristics of posture. Int Clin Neurosci J. 2018; 5 (3): xx
S Seifi, F Nowshiravan Rahatabad, Z Einalou - 2018 - sid.ir
Background: Multiple sclerosis (MS) is a chronic disorder of the central nervous system that
affects various parts of the brain and the spinal cord, leading to interruptions of the nervous …
affects various parts of the brain and the spinal cord, leading to interruptions of the nervous …