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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Summary: | 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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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 1053-8119 1095-9572 |
DOI: | 10.1016/S1053-8119(09)71816-6 |