I followed your advice and created a BIDS Format for the GSP Dataset and further processed the data with fmriprep (https://fmriprep.org/en/stable/).
Now it seems to be that the GSP times series for the different voxels in each subject is quite similar. I receive mainly values for the correlation from the PCC to all other brain areas in between 0.7 and 1, which is too high.
I used for the following sidecar files for all subjects (BIDS):
anat:
{
“StationName”: “MEDPC”,
“SoftwareVersion”: “syngo MR B17”,
“ScanningSequence”: “EP”,
“SequenceVariant”: “SK”,
“ScanOptions”: “FS”,
“SequenceName”: “epfid2d1_72”,
“DwellTime”: 3.1,
“InPlanePhaseEncodingDirection”: “COL”,
"EchoTime": 0.0030,
"RepetitionTime": 3,
"MagneticFieldStrength": 3,
"FlipAngle": 85,
"ManufacturersModelName": "TrioTim",
"ImageType": [
"ORIGINAL",
"PRIMARY",
"M",
"ND",
"MOSAIC"
],
"Manufacturer": "Siemens"
and for func:
funct:
{
“StationName”: “MEDPC”,
“SoftwareVersion”: “syngo MR B17”,
“MagneticFieldStrength”: 3,
“ScanningSequence”: “EP”,
“SequenceVariant”: “SK”,
“ScanOptions”: “FS”,
“SequenceName”: “epfid2d1_72”,
“EchoTime”: 0.03,
“DwellTime”: 3.1,
“FlipAngle”: 85,
“InPlanePhaseEncodingDirection”: “COL”,
"RepetitionTime": 3,
"SliceTiming": [
0,
1.5375,
0.065,
1.6025,
0.1275,
1.665,
0.1925,
1.730,
0.255,
1.795,
0.320,
1.8575,
0.385,
1.9225,
0.4475,
1.985,
0.5125,
2.050,
0.5775,
2.115,
0.640,
2.1775,
0.705,
2.2425,
0.770,
2.3075,
0.8325,
2.370,
0.8975,
2.435,
0.960,
2.500,
1.025,
2.5625,
1.090,
2.6275,
1.1525,
2.690,
1.2175,
2.755,
1.2825,
2.820,
1.345,
2.8825,
1.410,
2.9475,
1.4725
],
"ManufacturersModelName": "TrioTim",
"TaskName": "fMRI_resting_state",
"ImageType": [
"ORIGINAL",
"PRIMARY",
"M",
"ND",
"MOSAIC"
],
"Manufacturer": "Siemens"
}
Are these values for every subject the same? (Slice-Timing…?)
I have the feeling something might be wrong with that and reason why the correlation values are not correct.
Best,
Stephan