Journal article
Functional near-infrared neuroimaging
IEEE transactions on neural systems and rehabilitation engineering, v 13(2), pp 153-159
Jun 2005
PMID: 16003893
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Functional near-infrared spectroscopy (fNIR) is a neroimaging modality that enables continuous, noninvasive, and portable monitoring of changes in blood oxygenation and blood volume related to human brain function. Over the last decade, studies in the laboratory have established that fNIR spectroscopy provides a veridical measure of oxygenation and blood flow in the brain. Our recent findings indicate that fNIR can effectively monitor cognitive tasks such as attention, working memory, target categorization, and problem solving. These experimental outcomes compare favorably with functional magnetic resonance imaging (fMRI) studies, and in particular, with the blood oxygenation level dependent signal. Since fNIR can be implemented in the form of a wearable and minimally intrusive device, it has the capacity to monitor brain activity under real life conditions and in everyday environments. Moreover, the fNIR system is amenable to integration with other established physiological and neurobehavioral measures, including electroencephalogram, eye tracking, pupil reflex, heart rate variability, respiration, and electrodermal activity.
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Details
- Title
- Functional near-infrared neuroimaging
- Creators
- Meltem Izzetoglu - Drexel University, School of Biomedical Engineering, Science, and Health SystemsKurtulus Izzetoglu - Drexel University, School of Biomedical Engineering, Science, and Health SystemsScott Bunce - Drexel University, PsychiatryHasan Ayaz - Drexel University, School of Biomedical Engineering, Science, and Health SystemsAjit Devaraj - Drexel University, Electrical and Computer EngineeringBanu Onaral - Drexel University, School of Biomedical Engineering, Science, and Health SystemsKambiz Pourrezaei - Drexel University, School of Biomedical Engineering, Science, and Health Systems
- Publication Details
- IEEE transactions on neural systems and rehabilitation engineering, v 13(2), pp 153-159
- Publisher
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE); United States
- Number of pages
- 7
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems; School of Education; College of Engineering
- Web of Science ID
- WOS:000229850800007
- Scopus ID
- 2-s2.0-22544483856
- Other Identifier
- 991014877783904721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Biomedical
- Rehabilitation