scholarly journals Erratum: Corrigendum: Mapping the small-world properties of brain networks in deception with functional near-infrared spectroscopy

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Jiang Zhang ◽  
Xiaohong Lin ◽  
Genyue Fu ◽  
Liyang Sai ◽  
Huafu Chen ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Brain Networks ◽  
Small World ◽  
Functional Near Infrared Spectroscopy

scholarly journals Mapping the small-world properties of brain networks in deception with functional near-infrared spectroscopy

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Jiang Zhang ◽  
Xiaohong Lin ◽  
Genyue Fu ◽  
Liyang Sai ◽  
Huafu Chen ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Brain Networks ◽  
Small World ◽  
Neural Mechanism ◽  
Blood Oxygenation ◽  
Functional Near Infrared Spectroscopy ◽  
Complex Network Theory ◽  
Path Lengths

Abstract Deception is not a rare occurrence among human behaviors; however, the present brain mapping techniques are insufficient to reveal the neural mechanism of deception under spontaneous or controlled conditions. Interestingly, functional near-infrared spectroscopy (fNIRS) has emerged as a highly promising neuroimaging technique that enables continuous and noninvasive monitoring of changes in blood oxygenation and blood volume in the human brain. In this study, fNIRS was used in combination with complex network theory to extract the attribute features of the functional brain networks underling deception in subjects exhibiting spontaneous or controlled behaviors. Our findings revealed that the small-world networks of the subjects engaged in spontaneous behaviors exhibited greater clustering coefficients, shorter average path lengths, greater average node degrees, and stronger randomness compared with those of subjects engaged in control behaviors. Consequently, we suggest that small-world network topology is capable of distinguishing well between spontaneous and controlled deceptions.

scholarly journals Mapping the small-world properties of brain networks in Chinese to English simultaneous interpreting by using functional near-infrared spectroscopy

2018 ◽  
Vol 11 (03) ◽  
pp. 1840001 ◽  
Author(s):  
Xiaohong Lin ◽  
Victoria Lai Cheng Lei ◽  
Defeng Li ◽  
Zhishan Hu ◽  
Yutao Xiang ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Brain Networks ◽  
Small World ◽  
Functional Near Infrared Spectroscopy ◽  
Functional Brain ◽  
Simultaneous Interpreting ◽  
Code Mixing ◽  
Functional Brain Networks

The aim of this study is to examine the small-world properties of functional brain networks in Chinese to English simultaneous interpreting (SI) using functional near-infrared spectroscopy (fNIRS). In particular, the fNIRS neuroimaging combined with complex network analysis was performed to extract the features of functional brain networks underling three translation strategies associated with Chinese to English SI: “transcoding” that takes the “shortcut” linking translation equivalents between Chinese and the English, “code-mixing” that basically does not involve bilingual processing, and “transphrasing” that takes the “long route” involving a monolingual processing of meaning in Chinese and then another monolingual processing of meaning in English. Our results demonstrated that the small-world network topology was able to distinguish well between the transcoding, code-mixing and transphrasing strategies related to Chinese to English SI.

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.

61-LB: Use of Functional Near-Infrared Spectroscopy (fNIRS) to Assess Cognitive Effort in KATP-Related Neonatal Diabetes (KATP-NDM)

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 61-LB
Author(s):  
LISA R. LETOURNEAU-FREIBERG ◽  
KIMBERLY L. MEIDENBAUER ◽  
ANNA M. DENSON ◽  
PERSEPHONE TIAN ◽  
KYOUNG WHAN CHOE ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Neonatal Diabetes ◽  
Cognitive Effort ◽  
Functional Near Infrared Spectroscopy

The Use of fNIRS for Unique Contributions to Social and Affective Neuroscience

2019 ◽  
Author(s):  
Shannon Burns ◽  
Matthew D. Lieberman
Keyword(s):  
Infrared Spectroscopy ◽  
Social Interaction ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Affective Neuroscience ◽  
Functional Near Infrared Spectroscopy ◽  
Psychological Experience ◽  
The World ◽  
And Behavior ◽  
Meaningful Interaction

Social and affective neuroscience studies the neurophysiological underpinnings of psychological experience and behavior as it relates to the world around us. Yet, most neuroimaging methods require the removal of participants from their rich environment and the restriction of meaningful interaction with stimuli. In this Tools of the Trade article, we explain functional near infrared spectroscopy (fNIRS) as a neuroimaging method that can address these concerns. First, we provide an overview of how fNIRS works and how it compares to other neuroimaging methods common in social and affective neuroscience. Next, we describe fNIRS research that highlights its usefulness to the field – when rich stimuli engagement or environment embedding is needed, studies of social interaction, and examples of how it can help the field become more diverse and generalizable across participant populations. Lastly, this article describes how to use fNIRS for neuroimaging research with points of advice that are particularly relevant to social and affective neuroscience studies.

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