A hybrid approach for compressive neural activity detection with functional MR images

In this paper, we present a framework for neural activity detection using fMRI data, based on both statistical data analysis (data-driven) and graphical information modeling (model-based). The data-driven approaches do rough prediction when an extraordinary amount of neural activities arise. By prop...

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Bibliographic Details
Published in:Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Vol. 2009; pp. 4787 - 4790
Main Authors: Li, Chuan, Hao, Qi, Guo, Weihong, Hu, Fei
Format: Conference Proceeding Journal Article
Language:English
Published: United States IEEE 01.01.2009
Subjects:
Bayesian methods
Brain - physiology
Brain Mapping
Cluster Analysis
Computational efficiency
Data analysis
Humans
Hypothalamus - physiology
Image coding
Linear predictive coding
Magnetic Resonance Imaging - methods
Models, Theoretical
Nonlinear filters
Predictive models
Signal analysis
Signal to noise ratio
Volume measurement
ISSN:1094-687X, 1557-170X, 2375-7477
Online Access:Get full text
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