DocumentCode :
2454358
Title :
Controlling Dimensionality in a Systems Approach to Dynamic Multimodal Functional Brain Imaging
Author :
Laxminarayan, Srinivas ; Diamond, Solomon G. ; Miller, Eric ; Tadmor, Gilead ; Boas, David ; Brooks, Dana H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA
fYear :
2006
fDate :
Oct. 29 2006-Nov. 1 2006
Firstpage :
166
Lastpage :
170
Abstract :
The complementary spatial, temporal and specificity advantages of fMRI, EEG, MEG, PET and DOT for functional brain imaging motivate interest in multimodal functional brain imaging. State-variable dynamical systems modeling of neural activity and its relation to local hemodynamics, further coupled with autonomic physiology offers enhanced spatiotemporal resolution and insight into physiological signals and mechanisms. However, such a model also implies an explosion of state dimension. We discuss strategies for controlling this high dimensionality based on subspace approaches applied to the observed data and the model structure.
Keywords :
brain; haemodynamics; image enhancement; image resolution; medical control systems; medical image processing; neurophysiology; physiological models; spatiotemporal phenomena; autonomic physiology; dynamic multimodal functional brain imaging; hemodynamics; neural activity; physiological signal; spatiotemporal resolution enhancement; state-variable dynamical system modeling; system dimensionality control; Brain; Control systems; Electroencephalography; Hemodynamics; High-resolution imaging; Modeling; Physiology; Positron emission tomography; Spatiotemporal phenomena; US Department of Transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
1-4244-0784-2
Electronic_ISBN :
1058-6393
Type :
conf
DOI :
10.1109/ACSSC.2006.356607
Filename :
4176536
Link To Document :
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