Abstract
Most brain-computer interfaces (BCIs) currently under development use the brain's electrical signals. Nevertheless, nonelectrical metabolic signals also have potential for use in BCI development. Two methods currently available for measuring brain metabolic activity that are of greatest immediate interest for BCI development are: functional near-infrared spectroscopy (fNIRS) and functional magnetic resonance imaging (fMRI). fNIRS has the advantages of being noninvasive and inexpensive. fMRI has the advantages of being noninvasive and providing very high spatial resolution. This chapter focuses on BCIs based on fNIRS and fMRI methods. It reviews the fundamental principles underlying their use, the factors important in their use for BCIs, the kinds of BCI applications that are most promising, and possible future directions and challenges.
| Original language | English |
|---|---|
| Title of host publication | Brain-Computer Interfaces: Principles and Practice |
| Publisher | Oxford University Press |
| ISBN (Print) | 9780199932689, 9780195388855 |
| DOIs | |
| Publication status | Published - May 24 2012 |
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Keywords
- Brain signals
- Brain-computer interfaces
- Functional magnetic resonance imaging
- Functional near-infrared spectroscopy
- Metabolic activity
ASJC Scopus subject areas
- Neuroscience(all)
Cite this
BCIs That Use Brain Metabolic Signals. / Sitaram, Ranganatha; Lee, Sangkyun; Birbaumer, Niels.
Brain-Computer Interfaces: Principles and Practice. Oxford University Press, 2012.Research output: Chapter in Book/Report/Conference proceeding › Chapter
}
TY - CHAP
T1 - BCIs That Use Brain Metabolic Signals
AU - Sitaram, Ranganatha
AU - Lee, Sangkyun
AU - Birbaumer, Niels
PY - 2012/5/24
Y1 - 2012/5/24
N2 - Most brain-computer interfaces (BCIs) currently under development use the brain's electrical signals. Nevertheless, nonelectrical metabolic signals also have potential for use in BCI development. Two methods currently available for measuring brain metabolic activity that are of greatest immediate interest for BCI development are: functional near-infrared spectroscopy (fNIRS) and functional magnetic resonance imaging (fMRI). fNIRS has the advantages of being noninvasive and inexpensive. fMRI has the advantages of being noninvasive and providing very high spatial resolution. This chapter focuses on BCIs based on fNIRS and fMRI methods. It reviews the fundamental principles underlying their use, the factors important in their use for BCIs, the kinds of BCI applications that are most promising, and possible future directions and challenges.
AB - Most brain-computer interfaces (BCIs) currently under development use the brain's electrical signals. Nevertheless, nonelectrical metabolic signals also have potential for use in BCI development. Two methods currently available for measuring brain metabolic activity that are of greatest immediate interest for BCI development are: functional near-infrared spectroscopy (fNIRS) and functional magnetic resonance imaging (fMRI). fNIRS has the advantages of being noninvasive and inexpensive. fMRI has the advantages of being noninvasive and providing very high spatial resolution. This chapter focuses on BCIs based on fNIRS and fMRI methods. It reviews the fundamental principles underlying their use, the factors important in their use for BCIs, the kinds of BCI applications that are most promising, and possible future directions and challenges.
KW - Brain signals
KW - Brain-computer interfaces
KW - Functional magnetic resonance imaging
KW - Functional near-infrared spectroscopy
KW - Metabolic activity
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UR - http://www.scopus.com/inward/citedby.url?scp=84921258470&partnerID=8YFLogxK
U2 - 10.1093/acprof:oso/9780195388855.003.0018
DO - 10.1093/acprof:oso/9780195388855.003.0018
M3 - Chapter
AN - SCOPUS:84921258470
SN - 9780199932689
SN - 9780195388855
BT - Brain-Computer Interfaces: Principles and Practice
PB - Oxford University Press
ER -