BCIs That Use Brain Metabolic Signals

Ranganatha Sitaram; Sangkyun Lee; Niels Birbaumer

doi:10.1093/acprof:oso/9780195388855.003.0018

BCIs That Use Brain Metabolic Signals

Ranganatha Sitaram, Sangkyun Lee, Niels Birbaumer

Istituto di Neuroriabilitazione Motoria San Camillo

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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	https://doi.org/10.1093/acprof:oso/9780195388855.003.0018
Publication status	Published - May 24 2012

Keywords

Brain signals
Brain-computer interfaces
Functional magnetic resonance imaging
Functional near-infrared spectroscopy
Metabolic activity

ASJC Scopus subject areas

Neuroscience(all)

Access to Document

10.1093/acprof:oso/9780195388855.003.0018

Fingerprint Dive into the research topics of 'BCIs That Use Brain Metabolic Signals'. Together they form a unique fingerprint.

Cite this

@inbook{ecefb2009102429595f8d5d164f5ec4d,

title = "BCIs That Use Brain Metabolic Signals",

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.",

keywords = "Brain signals, Brain-computer interfaces, Functional magnetic resonance imaging, Functional near-infrared spectroscopy, Metabolic activity",

author = "Ranganatha Sitaram and Sangkyun Lee and Niels Birbaumer",

year = "2012",

month = may,

day = "24",

doi = "10.1093/acprof:oso/9780195388855.003.0018",

language = "English",

isbn = "9780199932689",

booktitle = "Brain-Computer Interfaces: Principles and Practice",

publisher = "Oxford University Press",

}

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

UR - http://www.scopus.com/inward/record.url?scp=84921258470&partnerID=8YFLogxK

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 -