Title
Controlling dimensionality in a systems approach to dynamic multimodal functional brain imaging
Abstract
The complementary spatial, temporal and specificity advantages of MRI, 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, and also describe some implications for understanding human brain function.
Keywords
Multimodal Functional Brain Imaging, MRI, EEG, MEG, PET, DOT, brain
Subject Categories
Brain mapping, Diagnostic imaging
Disciplines
Biomedical Engineering and Bioengineering
Publisher
Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems (Gordon-CenSSIS)
Publication Date
2006
Rights Holder
Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems (Gordon-CenSSIS)
Permanent URL
Recommended Citation
Laxminarayan, Srinivas; Jonny, Manu Ben; Diamond, Solomon; Brooks, Dana; Tadmore, Gilead; Miller, Eric; and Boas, David, "Controlling dimensionality in a systems approach to dynamic multimodal functional brain imaging" (2006). Research Thrust R2 Presentations. Paper 14. http://hdl.handle.net/2047/d10008251
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COinS
Notes
Poster presented at the 2006 Thrust R2A Multi-View Tomographic Methods Conference