DocumentCode
2414841
Title
Neuronal Chronometry of Target Detection: Fusion of Hemodynamic and Event-Related Potential Data
Author
Calhoun, V. ; Adali, T. ; Pearlson, G. ; Kiehl, K.
Author_Institution
Olin Neuropsychiatry Res. Center, Inst. of Living, Hartford, CT
fYear
2005
fDate
28-28 Sept. 2005
Firstpage
239
Lastpage
244
Abstract
Functional magnetic resonance imaging (fMRI) data provides spatially localized subcentimeter information about blood flow and oxygenation secondary to neuronal activation, but with temporal resolution on the order of seconds. Event-related potential (ERP) studies provide millimeter resolution measurements of the electric changes induced by neuronal activity, but spatial information is not well localized and suffers from an ill-posed inverse problem since there are much fewer sensors than solutions. Combining or fusing these two techniques thus has the potential to provide simultaneous higher temporal and high spatial resolution. Localization of the brain´s response to infrequent, task-relevant target ´oddball´ stimuli in humans has remained challenging due to the lack of a single imaging technique with good spatial and temporal resolution. Here we use independent component analysis to fuse ERP and fMRI modalities to identify, for the first time in humans, the dynamics of the auditory oddball response with high spatiotemporal resolution across the entire brain. The results illuminate a new era of brain research utilizing the precise temporal information in ERPs and the high spatial resolution of fMRI
Keywords
auditory evoked potentials; biomedical MRI; brain; haemodynamics; image resolution; independent component analysis; inverse problems; medical image processing; sensor fusion; auditory oddball response; blood flow; brain response localization; data fusion; electric changes; event-related potential data; fMRI data; functional magnetic resonance imaging; hemodynamic data; independent component analysis; inverse problem; millimeter resolution measurement; neuronal activation; neuronal chronometry; oxygenation; spatial resolution; spatially localized subcentimeter information; target detection; temporal resolution; Blood flow; Electric variables measurement; Enterprise resource planning; Hemodynamics; Humans; Image resolution; Inverse problems; Magnetic resonance imaging; Object detection; Spatial resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning for Signal Processing, 2005 IEEE Workshop on
Conference_Location
Mystic, CT
Print_ISBN
0-7803-9517-4
Type
conf
DOI
10.1109/MLSP.2005.1532906
Filename
1532906
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