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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jafri, M.J. Pearlson, G.D. Calhoun, V.D. |
| Copyright Year | 2007 |
| Description | Author affiliation: Olin Neuropsychiatry Res. Center, Inst. of Living, Hartford, CT (Jafri, M.J.; Pearlson, G.D.) |
| Abstract | There has been a growing interest in analyzing brain activation differences between patients and controls by studying resting-state fMRI brain networks. Functional connectivity of the resting brain has been studied by analyzing correlation differences in time courses among seed voxels, regions, or volume of interest with other voxels of the brain in patients versus controls. Spatial differences have also been analyzed among component maps derived from independent component analysis (ICA) in patients with schizophrenia and in healthy controls. However, the relationship among ICA component time courses, (which we define as functional network connectivity), has not been studied. We propose a novel technique to determine FNC applied to schizophrenia which does not rely on the time series of specific brain voxels or regions of interest and instead focuses upon the connectivity between functional networks (components) estimated from ICA using maximal correlation between component time series. |
| Starting Page | 468 |
| Ending Page | 471 |
| File Size | 294509 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424406714 |
| DOI | 10.1109/ISBI.2007.356890 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-04-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Independent component analysis Testing Magnetic analysis Psychology Band pass filters Cutoff frequency Medical tests Psychiatry Performance evaluation Brain |
| Content Type | Text |
| Resource Type | Article |
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