We have evaluated the use of phase synchronization to identify resting state functional connectivity (RSFC) in the language system in infants using functional near infrared spectroscopy (fNIRS). We used joint probability distribution of phase between fNIRS channels with a seed channel in the language area to estimate phase relations and to identify the language system network. Our results indic...

Functional near-infrared spectroscopy (fNIRS) is an optical imaging method which monitors the brain activation by measuring the successive changes in the concentration of oxyand deoxyhemoglobin in real time. In this study, we aimed to investigate the functional connectivity in the prefrontal cortex (PFC) during a modified version of the color-word matching Stroop task among schizophrenia and he...

The measurement of newborns' brain hemodynamic activity has improved our understanding of early cognitive processes, in particular of language acquisition. In this paper, we describe two experimental protocols adapted to study neonates' speech-processing capacities using functional near-infrared spectroscopy (fNIRS): the block design and the familiarization-recognition design. We review some of...

Despite technological advancements in functional Near Infra-Red Spectroscopy (fNIRS) and a rise the application of fNIRS neuroscience experimental designs, processing data remains characterized by high number heterogeneous approaches, implicating scientific reproducibility interpretability results. For example, manual inspection is still necessary to assess quality subsequent retention collecte...

Advances in educational neuroscience have made it possible for researchers to conduct studies that observe concurrent behavioral (i.e., task performance) and neural (i.e., brain activation) responses to naturalistic educational activities. Such studies are important because they help educators, clinicians, and researchers to better understand the etiology of both typical and atypical math proce...

Pattern recognition approaches to the analysis of neuroimaging data have brought new applications such as the classification of patients and healthy controls within reach. In our view, the reliance on expensive neuroimaging techniques which are not well tolerated by many patient groups and the inability of most current biomarker algorithms to accommodate information about prior class frequencie...

Recently, real time imaging of the cortical control of gait became possible with functional near-infrared spectroscopy (fNIRS). So far, little is known about the activations of various cortical areas in more complex forms of gait, such as precision stepping. From previous work on animals and humans one would expect precision stepping to elicit extra activity in the sensorimotor cortices (S1/M1)...

Functional Near-Infrared Spectroscopy (fNIRS) captures activations and inhibitions of cortical areas implements a viable approach to neuromonitoring in clinical research. Compared more advanced methods, continuous wave fNIRS (CW-fNIRS) is currently used clinics for its simplicity mapping the whole sub-cranial cortex. Conversely, it often lacks hardware reduction confounding factors, stressing i...

Abstract Aim Understanding surgeons’ cognitive patterns may improve surgical training and patient outcomes. Functional near-infrared spectrometry (fNIRS) is a non-invasive optical neuroimaging method increasingly used in measuring cerebral cortical blood flow using the principle of neurovascular coupling. This review outlines effect expertise stress on neural activation highlight key progress a...

...................................................................................................................... X CHAPTER 1: INTRODUCTION ....................................................................................... 1 1.1 MOTIVATION ............................................................................................................. 1 1.2 APPROACH AND CONTRIBUTION ........