Type I and type II errors for Multiple Simultaneous Hypothesis Testing

Multiple hypotheses testing in functional neuroimaging applications

author: Sylvain Baillet, Université Pierre et Marie Curie (Paris 6)

Categories

Top: Computer Science: Image Analysis: fMRI - Analysis

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*Slides*
0:02	Multiple hypotheses testing in functional neuroimaging applications - Time-resolved electromagnetic brain mapping
1:26	Functional neuroimaging
2:04	Functional neuroimaging01
2:16	Functional neuroimaging02
3:05	MEG/EEG imaging - Chronography of brain activations
11:18	MEG/EEG imaging - Chronography of brain activations 01
11:43	MEG/EEG imaging - Chronography of brain activations02
11:56	MEG/EEG imaging - Chronography of brain activations03
12:02	A pipeline of processes
15:01	Inference for images
16:39	Uncorrected p-value, = 0.1
18:00	Uncorrected p-value, = 0.1 01
18:46	Uncorrected p-value, = 0.1 02
19:01	Controlling the error rate
19:53	Controlling the error rate 01
20:25	Controlling the error rate 02
20:36	Controlling the error rate 03
21:19	Bonferroni correction
22:34	Bonferroni correction 01
22:35	The General(ized) Linear Model - Random-field theory
22:47	The General(ized) Linear Model - Random-field theory01
22:48	The General(ized) Linear Model - Random-field theory02
26:49	The General(ized) Linear Model - Random-field theory03
28:33	When the image support is a surface - Back to MEG/EEG imaging
30:43	When the image support is a surface - Back to MEG/EEG imaging01
30:44	When the image support is a surface - Back to MEG/EEG imaging02
30:55	When the image support is a surface - Back to MEG/EEG imaging03
31:44	First approach: the bootstrap - Take advantage of repeated measurements (trials) in M/EEG
32:28	First approach: the bootstrap - Take advantage of repeated measurements (trials) in M/EEG01
32:38	First approach: the bootstrap - Take advantage of repeated measurements (trials) in M/EEG02
32:43	Bootstrapping current density maps
33:21	Bootstrapping current density maps01
33:32	Controlling the FWER using permutations
33:39	Controlling the FWER using permutations01
34:19	Controlling the FWER using permutations02
38:45	Controlling the FWER using permutations03
38:47	Controlling the FWER using permutations04
38:48	Controlling the FWER using permutations05
39:37	Controlling the FWER using permutations - Heterogeneous voxel null distribution ( = 0.05)
41:44	Results - Monte-Carlo simulations
42:58	Imaging stationary brain processes - Visuomotor coordination
46:00	Imaging stationary brain processes - Visuomotor coordination01
47:55	Imaging stationary brain processes - Visuomotor coordination02
47:55	Imaging stationary brain processes - Visuomotor coordination03
49:43	Results01
57:22	Controlling the FWFR using permutations07
59:58	Controlling the FWFR using permutations08

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