Cognitive inhibition mediates the relationship between ESL listening proficiency and English spoken word segmentation in Chinese learners: A functional near-infrared spectroscopy (fNIRS) study

2021 ◽  
Vol 59 ◽  
pp. 100987
Author(s):  
Yilong Yang ◽  
Yadan Li ◽  
Xuewei Wang ◽  
Nian Liu ◽  
Kexin Jiang ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Word Segmentation ◽  
Spoken Word ◽  
Cognitive Inhibition ◽  
Functional Near Infrared Spectroscopy ◽  
Chinese Learners ◽  
Listening Proficiency ◽  
The Relationship

scholarly journals The mapping of cortical activation by near-infrared spectroscopy might be a biomarker related to the severity of fibromyalgia’s symptoms

2021 ◽  
Author(s):  
Daniela Gabiatti Donadel ◽  
Maxciel Zortea ◽  
Iraci Lucena da Silva Torres ◽  
Felipe Fregni ◽  
Wolnei Caumo
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Roc Analysis ◽  
Near Infrared ◽  
Clinical Symptoms ◽  
Cortical Activation ◽  
Functional Near Infrared Spectroscopy ◽  
The Right ◽  
Relationship Of ◽  
The Relationship

Abstract We compared the activation pattern at the motor cortex (MC and prefrontal cortex (PFC) based on the delta value (Δ) of oxy-hemoglobin (HbO) by functional near-infrared spectroscopy (fNIRS). We examined the relationship of the ΔHbO based on the peaks at 5°C and 25°C by right-hand immersion in water in 22 fibromyalgia and 19 controls. Fibromyalgia showed a shorter peak latency for HbO at the left MC. In contrast, at the left MC, their HbO increased 117.64% compared to 92.85% in the controls. A receiver operator characteristics (ROC) analysis showed the ΔHbO cutoffs equal to –0.175 at the left and –0.205 at the right PFC offer sensitivity and specificity of at least 80% in screening fibromyalgia compared to controls. In fibromyalgia, a ROC analysis showed that these cutoff points could discriminate those with higher disability due to pain and more severe central sensitization symptoms (CSS). The ROC with the best discriminatory profile was to the CSS score with the ΔHbO at the left PFC (AUC = 0.82, CI 95% = 0.61–100). These results indicate that cortical activation based on the ΔHbO at the PFC might be a sensitive marker to identify those fibromyalgia patients with more severe clinical symptoms.

A Study of Frontal Signals in Brain Computer Interfaces: Interpretation of EEG & FNIRS

2020 ◽  
pp. 136-142
Author(s):  
S. Srilekha ◽  
B. Vanathi
Keyword(s):  
Infrared Spectroscopy ◽  
Healthy Subject ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Economic Conditions ◽  
Brain Computer Interfaces ◽  
Functional Near Infrared Spectroscopy ◽  
Computer Interfaces ◽  
Rehabilitation Devices

This paper focuses on electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) comparison to help the rehabilitation patients. Both methods have unique techniques and placement of electrodes. Usage of signals are different in application based on the economic conditions. This study helps in choosing the signal for the betterment of analysis. Ten healthy subject datasets of EEG & FNIRS are taken and applied to plot topography separately. Accuracy, Sensitivity, peaks, integral areas, etc are compared and plotted. The main advantages of this study are to prompt their necessities in the analysis of rehabilitation devices to manage their life as a typical individual.

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