For the OSA longitudinal, the MNI with repeated measures was the "best" analysis. This is also the most logical one - scales for head size. The corrections in order were

clusterm

clustere

tfce

The simple 2-group did nothing, it needed the repeated measures analysis (i.e., including a subject variable). And only the right side showed effects.

Sydney

ID389, Z:\Analysis\Sets\Luke\OSA\

UCLA

baseline, 6 months, 12 months

Set folder: U:\OSASydney2013set

All control, 3 x OSA: ID143

Baseline control and OSA with follow-up: ID248

All OSA, 15 at each time-point; ID209

Repeated measures, MNI, clusterm seem to give reasonable results

Contrasts ("stats")

Number	Name
1	baseline mean
2	6M mean
3	12M mean
* 4	6M > baseline
5	12M > baseline
6	12M > 6M
7	6Mx12M > baseline

Right

clusterm		Vox p <= 0.05	Min p	Non-zero vox	File
	stat1 p corr	0	1	0	R_Hipp_vertexMNI_randN5000_clusterm_corrp_fstat1.nii.gz
	stat1 p	0	1	0	R_Hipp_vertexMNI_randN5000_clusterm_p_fstat1.nii.gz
	stat2 p corr	0	1	0	R_Hipp_vertexMNI_randN5000_clusterm_corrp_fstat2.nii.gz
	stat2 p	0	1	0	R_Hipp_vertexMNI_randN5000_clusterm_p_fstat2.nii.gz
	stat3 p corr	0	1	0	R_Hipp_vertexMNI_randN5000_clusterm_corrp_fstat3.nii.gz
	stat3 p	0	1	0	R_Hipp_vertexMNI_randN5000_clusterm_p_fstat3.nii.gz
	stat4 p corr	578	0.022599995	934	R_Hipp_vertexMNI_randN5000_clusterm_corrp_fstat4.nii.gz
	stat4 p	0	1	0	R_Hipp_vertexMNI_randN5000_clusterm_p_fstat4.nii.gz
	stat5 p corr	0	0.351000011	552	R_Hipp_vertexMNI_randN5000_clusterm_corrp_fstat5.nii.gz
	stat5 p	0	1	0	R_Hipp_vertexMNI_randN5000_clusterm_p_fstat5.nii.gz
	stat6 p corr	0	1	0	R_Hipp_vertexMNI_randN5000_clusterm_corrp_fstat6.nii.gz
	stat6 p	0	1	0	R_Hipp_vertexMNI_randN5000_clusterm_p_fstat6.nii.gz
	stat7 p corr	0	1	0	R_Hipp_vertexMNI_randN5000_clusterm_corrp_fstat7.nii.gz
	stat7 p	0	1	0	R_Hipp_vertexMNI_randN5000_clusterm_p_fstat7.nii.gz
	stat8 p corr	0	0.164600015	347	R_Hipp_vertexMNI_randN5000_clusterm_corrp_fstat8.nii.gz
	stat8 p	0	1	0	R_Hipp_vertexMNI_randN5000_clusterm_p_fstat8.nii.gz

Left

clusterm		Vox p <= 0.05	Min p	Non-zero vox	File
	stat1 p corr	0	1	0	L_Hipp_vertexMNI_randN5000_clusterm_corrp_fstat1.nii.gz
	stat1 p	0	1	0	L_Hipp_vertexMNI_randN5000_clusterm_p_fstat1.nii.gz
	stat2 p corr	0	1	0	L_Hipp_vertexMNI_randN5000_clusterm_corrp_fstat2.nii.gz
	stat2 p	0	1	0	L_Hipp_vertexMNI_randN5000_clusterm_p_fstat2.nii.gz
	stat3 p corr	0	1	0	L_Hipp_vertexMNI_randN5000_clusterm_corrp_fstat3.nii.gz
	stat3 p	0	1	0	L_Hipp_vertexMNI_randN5000_clusterm_p_fstat3.nii.gz
	stat4 p corr	0	0.209399998	658	L_Hipp_vertexMNI_randN5000_clusterm_corrp_fstat4.nii.gz
	stat4 p	0	1	0	L_Hipp_vertexMNI_randN5000_clusterm_p_fstat4.nii.gz
	stat5 p corr	0	0.740399987	356	L_Hipp_vertexMNI_randN5000_clusterm_corrp_fstat5.nii.gz
	stat5 p	0	1	0	L_Hipp_vertexMNI_randN5000_clusterm_p_fstat5.nii.gz
	stat6 p corr	0	1	0	L_Hipp_vertexMNI_randN5000_clusterm_corrp_fstat6.nii.gz
	stat6 p	0	1	0	L_Hipp_vertexMNI_randN5000_clusterm_p_fstat6.nii.gz
	stat7 p corr	0	1	0	L_Hipp_vertexMNI_randN5000_clusterm_corrp_fstat7.nii.gz
	stat7 p	0	1	0	L_Hipp_vertexMNI_randN5000_clusterm_p_fstat7.nii.gz
	stat8 p corr	0	0.619800001	134	L_Hipp_vertexMNI_randN5000_clusterm_corrp_fstat8.nii.gz
	stat8 p	0	1	0	L_Hipp_vertexMNI_randN5000_clusterm_p_fstat8.nii.gz

Female OSA, each time-point: ID212

Male OSA, each time-point: ID213

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