Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks
| Autor: | Ilias Tachtsidis, Paul Burgess, Sam Gilbert, Antonia Hamilton, Arcangelo Merla, Elizabeth Swingler, Sarah Power, Frida Lind, Clarisse Aichelburg, Paola Pinti |
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| Rok vydání: | 2015 |
| Předmět: |
Behavior
General Immunology and Microbiology General Chemical Engineering General Neuroscience prospective memory brain imaging fNIRS Near Infrared Spectroscopy executive functions General Biochemistry Genetics and Molecular Biology optical topography wearable fiberless Issue 106 prefrontal life-based experiment |
| Zdroj: | Journal of Visualized Experiments : JoVE |
| ISSN: | 1940-087X |
| Popis: | Functional Near Infrared Spectroscopy (fNIRS) is a neuroimaging technique that uses near-infrared light to monitor brain activity. Based on neurovascular coupling, fNIRS is able to measure the haemoglobin concentration changes secondary to neuronal activity. Compared to other neuroimaging techniques, fNIRS represents a good compromise in terms of spatial and temporal resolution. Moreover, it is portable, lightweight, less sensitive to motion artifacts and does not impose significant physical restraints. It is therefore appropriate to monitor a wide range of cognitive tasks (e.g., auditory, gait analysis, social interaction) and different age populations (e.g., new-borns, adults, elderly people). The recent development of fiberless fNIRS devices has opened the way to new applications in neuroscience research. This represents a unique opportunity to study functional activity during real-world tests, which can be more sensitive and accurate in assessing cognitive function and dysfunction than lab-based tests. This study explored the use of fiberless fNIRS to monitor brain activity during a real-world prospective memory task. This protocol is performed outside the lab and brain haemoglobin concentration changes are continuously measured over the prefrontal cortex while the subject walks around in order to accomplish several different tasks. |
| Databáze: | OpenAIRE |
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