Hi pt,

Thank you so much for the suggestion. Below is the 3dinfo of the concatenated epi data.

Dataset File: trunc_rest_100307+orig
Identifier Code: AFN_snRM4ak1fqyJqtzOpLs2Ag Creation Date: Mon Nov 16 21:55:36 2020
Template Space: ORIG
Dataset Type: Echo Planar (-epan)
Byte Order: LSB_FIRST [this CPU native = LSB_FIRST]
Storage Mode: BRIK
Storage Space: 12,896,133,120 (13 billion) bytes
Geometry String: "MATRIX(1.998754,0.032776,0.062524,-96.2307,0.005691,-1.840412,0.782849,39.6296,-0.070364,0.782183,1.839358,-110.4278):90,104,72"
Data Axes Tilt: Oblique (23.121 deg. from plumb)
Data Axes Approximate Orientation:
first (x) = Right-to-Left
second (y) = Posterior-to-Anterior
third (z) = Inferior-to-Superior [-orient RPI]
R-to-L extent: -96.231 [R] -to- 81.769 [L] -step- 2.000 mm [ 90 voxels]
A-to-P extent: -166.370 [A] -to- 39.630 [P] -step- 2.000 mm [104 voxels]
I-to-S extent: -110.428 -to- 31.572 [S] -step- 2.000 mm [ 72 voxels]
Number of time steps = 4784 Time step = 0.72000s Origin = 0.00000s
-- At sub-brick #0 '100307_3T_rfMRI_[4]' datum type is float: 0 to 3595
-- At sub-brick #1 '100307_3T_rfMRI_[5]' datum type is float: 0 to 3643
-- At sub-brick #2 '100307_3T_rfMRI_[6]' datum type is float: 0 to 3617
** For info on all 4784 sub-bricks, use '3dinfo -verb' **

----- HISTORY -----
[lab@Administrators-Mac-Pro.local: Mon Nov 16 21:55:36 2020] {AFNI_19.1.18:macos_10.12_local} 3dTcat -prefix trunc_rest_100307 '100307_3T_rfMRI_REST1_LR.nii.gz[4..$]' '100307_3T_rfMRI_REST1_RL.nii.gz[4..$]' '100307_3T_rfMRI_REST2_LR_rsm+orig[4..$]' '100307_3T_rfMRI_REST2_RL_rsm+orig[4..$]'


I chose to combine the epi data based on a previous paper that said 'Each subject was scanned for two resting sessions (REST 1 and REST 2) over a period of two days. During each session, data were collected using both the left-right (LR) and right-left (RL) phase-encoding runs. For each subject, we concatenated the data (REST 1 LR, REST 1 RL, REST 2 LR, REST 2 RL) into a 3,456 seconds time-course (containing 4800 time points, with TR = 720ms).' (https://www.nature.com/articles/s41598-019-40345-8)

Based on your suggestion, I can think of two options to run this dataset.
1) Run pro py for each scan: REST1 LR, REST1 RL, REST2 LR, REST2 RL and include each for group analysis
2) Use blip_forward_dset for REST1 and REST2 proc py and include REST1 and REST2 for group analysis

Could you please let me know if either will work?

Best,
JW



Edited 3 time(s). Last edit at 11/18/2020 12:09PM by JW.