TY - GEN
T1 - Functional near-infrared spectroscopy and electroencephalography
T2 - 5th International Conference on Foundations of Augmented Cognition, FAC 2009, Held as Part of HCI International 2009
AU - Merzagora, Anna C.
AU - Izzetoglu, Meltem
AU - Polikar, Robi
AU - Weisser, Valerie
AU - Onaral, Banu
AU - Schultheis, Maria T.
PY - 2009
Y1 - 2009
N2 - Although neuroimaging has greatly expanded our knowledge about the brain-behavior relation, combining multiple neuroimaging modalities with complementing strengths can overcome some limitations encountered when using a single modality. Valuable candidates for a multimodal approach are functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG). fNIRS is an imaging technology that localizes hemodynamic changes within the cortex. However, hemodynamic activation is an intrinsically slow process. On the other hand, EEG has excellent time resolution by directly measuring the manifestation of the brain electrical activity at the scalp. Based on their complementary strengths, the integration of fNIRS and EEG may provide higher spatiotemporal resolution than either method alone. In this effort, we integrate fNIRS and EEG to evaluate the behavioral performance of six healthy adults in a working memory task. To this end, features extracted from fNIRS and EEG were used separately, as well as in combination, and their performances were compared against each other.
AB - Although neuroimaging has greatly expanded our knowledge about the brain-behavior relation, combining multiple neuroimaging modalities with complementing strengths can overcome some limitations encountered when using a single modality. Valuable candidates for a multimodal approach are functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG). fNIRS is an imaging technology that localizes hemodynamic changes within the cortex. However, hemodynamic activation is an intrinsically slow process. On the other hand, EEG has excellent time resolution by directly measuring the manifestation of the brain electrical activity at the scalp. Based on their complementary strengths, the integration of fNIRS and EEG may provide higher spatiotemporal resolution than either method alone. In this effort, we integrate fNIRS and EEG to evaluate the behavioral performance of six healthy adults in a working memory task. To this end, features extracted from fNIRS and EEG were used separately, as well as in combination, and their performances were compared against each other.
UR - https://www.scopus.com/pages/publications/77951984887
UR - https://www.scopus.com/pages/publications/77951984887#tab=citedBy
U2 - 10.1007/978-3-642-02812-0_50
DO - 10.1007/978-3-642-02812-0_50
M3 - Conference contribution
AN - SCOPUS:77951984887
SN - 364202811X
SN - 9783642028113
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 417
EP - 426
BT - Foundations of Augmented Cognition
Y2 - 19 July 2009 through 24 July 2009
ER -