Shedding Light on Language Function and Its Development with Optical Brain Imaging

Author(s):  
Yasuyo Minagawa ◽  
Alejandrina Cristia

Language can be described as a ubiquitous marvel: Nearly all humans acquire and process their native language(s) effortlessly. The neural bases of both acquisition and processing have long captured scientific attention. The study of the brain networks underlying language development, perception, and production was facilitated by the advent of functional near-infrared spectroscopy (fNIRS), which has led to a remarkable expansion of language studies, particularly on developing populations. This chapter introduces the technique, discussing the advantages and disadvantages relative to other common methods. It is argued that fNIRS provides an interesting compromise for the case of language studies in particular, given that it has a moderate spatial resolution, it is inexpensive and silent, and it is moderately tolerant of a range of movement. The chapter then turns to experimental design, instrumentation, and data analyses. In addition to laying out a number of potential options for each, it provides readers with useful practical advice, ranging from how to decide on the placement of optodes on the participant’s head to how to avoid data contamination due to muscular and other diverse artefacts. Next, the chapter provides a brief summary of three key strands of research in the study of language acquisition. In particular, it discusses the evidence for and against the presence of specific biases leading to left-dominant speech processing, the emergence of multi-region brain networks for language processing, and the use of fNIRS among clinical populations. It concludes by discussing likely advances in the near future of the technique.

2018 ◽  
Vol 22 ◽  
pp. 233121651878685 ◽  
Author(s):  
Xin Zhou ◽  
Abd-Krim Seghouane ◽  
Adnan Shah ◽  
Hamish Innes-Brown ◽  
Will Cross ◽  
...  

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Jiang Zhang ◽  
Xiaohong Lin ◽  
Genyue Fu ◽  
Liyang Sai ◽  
Huafu Chen ◽  
...  

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.


2018 ◽  
Vol 11 (03) ◽  
pp. 1840001 ◽  
Author(s):  
Xiaohong Lin ◽  
Victoria Lai Cheng Lei ◽  
Defeng Li ◽  
Zhishan Hu ◽  
Yutao Xiang ◽  
...  

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.


2021 ◽  
Vol 12 (1) ◽  
pp. 1-9
Author(s):  
Amanda Saksida ◽  
Sara Ghiselli ◽  
Stefano Bembich ◽  
Alessandro Scorpecci ◽  
Sara Giannantonio ◽  
...  

Very early bilateral implantation is thought to significantly reduce the attentional effort required to acquire spoken language, and consequently offer a profound improvement in quality of life. Despite the early intervention, however, auditory and communicative outcomes in children with cochlear implants remain poorer than in hearing children. The distorted auditory input via the cochlear implants requires more auditory attention resulting in increased listening effort and fatigue. Listening effort and fatigue may critically affect attention to speech, and in turn language processing, which may help to explain the variation in language and communication abilities. However, measuring attention to speech and listening effort is demanding in infants and very young children. Three objective techniques for measuring listening effort are presented in this paper that may address the challenges of testing very young and/or uncooperative children with cochlear implants: pupillometry, electroencephalography, and functional near-infrared spectroscopy. We review the studies of listening effort that used these techniques in paediatric populations with hearing loss, and discuss potential benefits of the systematic evaluation of listening effort in these populations.


Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6106
Author(s):  
Julie Uchitel ◽  
Ernesto E. Vidal-Rosas ◽  
Robert J. Cooper ◽  
Hubin Zhao

There has been considerable interest in applying electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) simultaneously for multimodal assessment of brain function. EEG–fNIRS can provide a comprehensive picture of brain electrical and hemodynamic function and has been applied across various fields of brain science. The development of wearable, mechanically and electrically integrated EEG–fNIRS technology is a critical next step in the evolution of this field. A suitable system design could significantly increase the data/image quality, the wearability, patient/subject comfort, and capability for long-term monitoring. Here, we present a concise, yet comprehensive, review of the progress that has been made toward achieving a wearable, integrated EEG–fNIRS system. Significant marks of progress include the development of both discrete component-based and microchip-based EEG–fNIRS technologies; modular systems; miniaturized, lightweight form factors; wireless capabilities; and shared analogue-to-digital converter (ADC) architecture between fNIRS and EEG data acquisitions. In describing the attributes, advantages, and disadvantages of current technologies, this review aims to provide a roadmap toward the next generation of wearable, integrated EEG–fNIRS systems.


Author(s):  
S. Srilekha ◽  
B. Vanathi

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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