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Determining significance in neuroimaging studies using covariate-modulated false discovery rate
Published on 2007-05-235363 Views
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Presentation
Advances in False Discovery Rate control applied in Neuroimaging00:02
Outline00:29
Voxel-based morphometry01:31
Vertex-based morphometry02:18
Pial (outside) surface02:54
White matter surface03:03
Wireframe03:11
Multiple comparisons03:57
Searching for interesting results04:27
Definition05:58
Markov Random Fields06:06
Permutation tests.06:57
Weakness with blob-based methods07:25
The original concept08:03
The method08:07
Graphical08:11
FDR in practice09:03
Local FDR09:34
The model09:44
The model, cont.10:38
Why local?11:30
Histogram of Z-scores11:59
Requirements13:09
Calculating the local FDR13:34
The mixture f (z)14:06
The numerator p0f0(z)14:58
Covariate Modulated FDR17:03
Microarray example17:38
Compare to Local FDR20:17
The model, II20:42
Calculating cmFDR21:39
Observation21:46
Bin the covariates22:39
Hyperpriors23:40
posterior density24:01
posterior density, cont.24:36
Approximate24:45
cmFDR with one bin25:35
Genetic variation and cortical thickness27:00
BDNF -66328:32
cmFDR reasoning30:55
Comparison31:19
Bibliography35:18