Exploring frontal asymmetry using functional near-infrared spectroscopy: a preliminary study of the effects of social anxiety during interaction and performance tasks

2012 ◽  
Vol 7 (2) ◽  
pp. 140-153 ◽  
Author(s):  
Lori-Ann Tuscan ◽  
James D. Herbert ◽  
Evan M. Forman ◽  
Adrienne S. Juarascio ◽  
Meltem Izzetoglu ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Social Anxiety ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Functional Near Infrared Spectroscopy ◽  
Frontal Asymmetry ◽  
Performance Tasks ◽  
Preliminary Study ◽  
And Performance

scholarly journals Comparison of Brain Activation Patterns during Olfactory Stimuli between Recovered COVID-19 Patients and Healthy Controls: A Functional Near-Infrared Spectroscopy (fNIRS) Study

2021 ◽  
Vol 11 (8) ◽  
pp. 968
Author(s):  
Roger C. Ho ◽  
Vijay K. Sharma ◽  
Benjamin Y. Q. Tan ◽  
Alison Y. Y. Ng ◽  
Yit-Shiang Lui ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Time Interval ◽  
Healthy Controls ◽  
Functional Near Infrared Spectroscopy ◽  
Activation Patterns ◽  
Identification Test ◽  
Olfactory Stimuli ◽  
Preliminary Study

Impaired sense of smell occurs in a fraction of patients with COVID-19 infection, but its effect on cerebral activity is unknown. Thus, this case report investigated the effect of COVID-19 infection on frontotemporal cortex activity during olfactory stimuli. In this preliminary study, patients who recovered from COVID-19 infection (n = 6) and healthy controls who never contracted COVID-19 (n = 6) were recruited. Relative changes in frontotemporal cortex oxy-hemoglobin during olfactory stimuli was acquired using functional near-infrared spectroscopy (fNIRS). The area under curve (AUC) of oxy-hemoglobin for the time interval 5 s before and 15 s after olfactory stimuli was derived. In addition, olfactory function was assessed using the Sniffin’ Sticks 12-identification test (SIT-12). Patients had lower SIT-12 scores than healthy controls (p = 0.026), but there were no differences in oxy-hemoglobin AUC between healthy controls and patients (p > 0.05). This suggests that past COVID-19 infection may not affect frontotemporal cortex function, and these preliminary results need to be verified in larger samples.

scholarly journals Application of Deep Learning in the Identification of Cerebral Hemodynamics Data Obtained from Functional Near-Infrared Spectroscopy: A Preliminary Study of Pre- and Post-Tooth Clenching Assessment

2020 ◽  
Vol 9 (11) ◽  
pp. 3475
Author(s):  
Shinya Takagi ◽  
Shigemitsu Sakuma ◽  
Ichizo Morita ◽  
Eri Sugimoto ◽  
Yoshihiro Yamaguchi ◽  
...  
Keyword(s):  
Deep Learning ◽  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Visual Presentation ◽  
Mixed Data ◽  
Imaging Data ◽  
Functional Near Infrared Spectroscopy ◽  
Tooth Clenching ◽  
Preliminary Study

In fields using functional near-infrared spectroscopy (fNIRS), there is a need for an easy-to-understand method that allows visual presentation and rapid analysis of data and test results. This preliminary study examined whether deep learning (DL) could be applied to the analysis of fNIRS-derived brain activity data. To create a visual presentation of the data, an imaging program was developed for the analysis of hemoglobin (Hb) data from the prefrontal cortex in healthy volunteers, obtained by fNIRS before and after tooth clenching. Three types of imaging data were prepared: oxygenated hemoglobin (oxy-Hb) data, deoxygenated hemoglobin (deoxy-Hb) data, and mixed data (using both oxy-Hb and deoxy-Hb data). To differentiate between rest and tooth clenching, a cross-validation test using the image data for DL and a convolutional neural network was performed. The network identification rate using Hb imaging data was relatively high (80‒90%). These results demonstrated that a method using DL for the assessment of fNIRS imaging data may provide a useful analysis system.

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