Robust methods for estimating functional connectivity
Noninvasive imaging of functional connectivity refers to statistical inferences about causal interactions in activity across different brain regions observed during rest or while a subject is performing a task. Application of coherence to noisy functional imaging data, like fMRI, with limited number...
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| Published in | NeuroImage (Orlando, Fla.) Vol. 47; p. S169 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Amsterdam
Elsevier Inc
01.07.2009
Elsevier Limited |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1053-8119 1095-9572 |
| DOI | 10.1016/S1053-8119(09)71816-6 |
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| Abstract | Noninvasive imaging of functional connectivity refers to statistical inferences about causal interactions in activity across different brain regions observed during rest or while a subject is performing a task. Application of coherence to noisy functional imaging data, like fMRI, with limited number of samples can be quite unreliable. [...]inferring functional connectivity using bivariate methods that neglect the influence of voxels not under consideration can give inconsistent results. |
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| AbstractList | Noninvasive imaging of functional connectivity refers to statistical inferences about causal interactions in activity across different brain regions observed during rest or while a subject is performing a task. Application of coherence to noisy functional imaging data, like fMRI, with limited number of samples can be quite unreliable. [...]inferring functional connectivity using bivariate methods that neglect the influence of voxels not under consideration can give inconsistent results. |
| Author | Attias, H.T. Hinkley, L.B. Sekihara, K. Nagarajan, S.S. Owen, J.P. |
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| Copyright | 2009 Elsevier Inc. Copyright Elsevier Limited Jul 1, 2009 2009. Elsevier Inc. |
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| DOI | 10.1016/S1053-8119(09)71816-6 |
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| Title | Robust methods for estimating functional connectivity |
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