Title |
Applications of Functional Near-Infrared Spectroscopy (fNIRS) in Studying Cognitive Development: The Case of Mathematics and Language
|
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Published in |
Frontiers in Psychology, April 2018
|
DOI | 10.3389/fpsyg.2018.00277 |
Pubmed ID | |
Authors |
Mojtaba Soltanlou, Maria A. Sitnikova, Hans-Christoph Nuerk, Thomas Dresler |
Abstract |
In this review, we aim to highlight the application of functional near-infrared spectroscopy (fNIRS) as a useful neuroimaging technique for the investigation of cognitive development. We focus on brain activation changes during the development of mathematics and language skills in schoolchildren. We discuss how technical limitations of common neuroimaging techniques such as functional magnetic resonance imaging (fMRI) have resulted in our limited understanding of neural changes during development, while fNIRS would be a suitable and child-friendly method to examine cognitive development. Moreover, this technique enables us to go to schools to collect large samples of data from children in ecologically valid settings. Furthermore, we report findings of fNIRS studies in the fields of mathematics and language, followed by a discussion of the outlook of fNIRS in these fields. We suggest fNIRS as an additional technique to track brain activation changes in the field of educational neuroscience. |
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United States | 1 | 10% |
Ireland | 1 | 10% |
Switzerland | 1 | 10% |
Germany | 1 | 10% |
Unknown | 4 | 40% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 7 | 70% |
Scientists | 2 | 20% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 244 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 35 | 14% |
Student > Master | 31 | 13% |
Researcher | 24 | 10% |
Student > Bachelor | 24 | 10% |
Student > Doctoral Student | 11 | 5% |
Other | 38 | 16% |
Unknown | 81 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 39 | 16% |
Neuroscience | 26 | 11% |
Engineering | 13 | 5% |
Medicine and Dentistry | 11 | 5% |
Computer Science | 8 | 3% |
Other | 44 | 18% |
Unknown | 103 | 42% |