Hi!
I’m working on RESTING STATE datawith FSL 5.0.0. I’m doing DUAL REGRESSION.
I don’t know if this is the correct procedure. Could you help me, please?
Here what I’ve done until now.
robustfov
robustfov –r –I, without setting any other options
bet2
parameters setting:
• Fractional intensity threshold: 0,3
• Output brain-extracted image
• Output exterior skull surface image
melodicICA
I think that it is not necessary to do FLIRT, FNIRT before melodicICA. Am I right?
Is this kind of normalization included in melodicICA, with a specific setting (FLIRT on default and FNIRT setting “non linear”)?
• PRESTATS: MCFLIRT, SLICETIME CORRECTION (INTERLEAVED), SMOOTH at 6 mm, BET, HIGHPASS
• REGISTRATION: NON LINEAR, betted T13D (_brain) in MAIN STRUCTURAL IMAGE,
• STATS: MULTISESSION TEMPORAL CONCATENATION
• POSTATS: THRESHOLD = 0,99; FULL OUTPUT STAT FOLDER
dual regression
evs to create the design matrix
8 contrasts (I’ve 4 groups of subjects)
dual_regression groupmelodic.ica/melodic_IC.nii.gz 1 contrasts.mat contrasts.con 5000 outputdr /Users/letiziacasiraghi/Desktop/melodic_ICA/A01/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/A03/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/A04/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/A05/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/A12/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/A15/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/A16/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/A26/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/A28/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/A43/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/A44/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/A49/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/A54/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/A56/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/A62/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/A66/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/M27/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/M29/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/M35/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/M40/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/M41/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/M42/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/M48/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/M51/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/M52/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/M53/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/M57/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/M59/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/M61/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/M64/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/M65/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/M37/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/N07/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/N08/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/N09/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/N11/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/N17/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/N18/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/N19/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/N20/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/N21/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/N22/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/N23/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/N24/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/N25/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/N30/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/N31/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/N33/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/S01/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/S02/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/S03/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/S04/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/S05/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/S08/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/S09/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/S10/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/S12/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/S13/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/S14/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/S16/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/S17/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/S18/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/S19/RS.ica/reg_standard/filtered_func_data /Users/letiziacasiraghi/Desktop/melodic_ICA/S20/RS.ica/reg_standard/filtered_func_data
thresh_zstatn (n, 11 networks)
mdr_stage3_ic000n_tfce_p_tstatn (n, 8 groups contrasts)
The threshold of significance is set on p=0,05.
I’ve only few corrp-tstat (multiple comparisons) t095_mdr_stage3_ic000n_tfce_corrp_tstatn.
I don’t undestrand why I’ve obtained low significance for many contrasts.
Noise? Bad acquisitions? Something wrong in the procedure?
Thank you very much!
Letizia Casiraghi
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