Title | ||
---|---|---|
Unified Framework for Robust Estimation of Brain Networks From fMRI Using Temporal and Spatial Correlation Analyses. |
Abstract | ||
---|---|---|
There is a rapidly growing interest in the neuroimaging field to use functional magnetic resonance imaging (fMRI) to explore brain networks, i.e., how regions of the brain communicate with one another. This paper presents a general and novel statistical framework for robust and more complete estimation of brain functional connectivity from fMRI based on correlation analyses and hypothesis testing.... |
Year | DOI | Venue |
---|---|---|
2009 | 10.1109/TMI.2009.2014863 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Robustness,Magnetic analysis,Testing,Magnetic resonance imaging,Image analysis,Statistics,Neuroimaging,Multiprocessor interconnection networks,Performance evaluation,In vivo | Brain mapping,Multiple correlation,Synthetic data,Artificial intelligence,Neuroimaging,Artificial neural network,Statistical hypothesis testing,Computer vision,Functional magnetic resonance imaging,Pattern recognition,Multiple comparisons problem,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
28 | 8 | 0278-0062 |
Citations | PageRank | References |
5 | 0.46 | 19 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yongmei Wang | 1 | 232 | 23.10 |
Jing Xia | 2 | 5 | 0.46 |