Good afternoon everyone,
I'm about to run several analyses of fMRI data that was acquired with multiband sequences. The TR was shorter than 1 second in all cases (0.7 / 0.8 sec). While the advantages of short TRs seem more straightforward for brain activations studies, the advantages do not seem to be so obvious in the case resting-state functional connectivity (rsFC) studies (Chen et al., 2019). I would dearly appreciate to have your valuable input on the potential changes that should be made to the pre- and post-processing of rsFC data of studies using short TRs.
1) Should we still perform slice-time correction ? My understanding is that it would not improve preprocessing.
2) Should we perform particular adjustments to the low-pass filter for rsFC data acquired using subsecond TRs ?
3) For studies on task-based activations, it is recommended to pay careful attention on the choice of the method used to correct for temporal correlations for studies using multiband sequences (e.g. AR2 and FAST rather than AR1, for instance). Is there a similar issue in the case of resting-state functional connectivity data ? How is CONN handling this issue ?
4) Do you have any other recommendations ?
Many thanks for your attention,
Maria
Reference: Chen J, Polimeni JR, Bollmann S, Glover GH. On the analysis of rapidly sampled fMRI. Neuroimage 2019; 188: 807-820.
I'm about to run several analyses of fMRI data that was acquired with multiband sequences. The TR was shorter than 1 second in all cases (0.7 / 0.8 sec). While the advantages of short TRs seem more straightforward for brain activations studies, the advantages do not seem to be so obvious in the case resting-state functional connectivity (rsFC) studies (Chen et al., 2019). I would dearly appreciate to have your valuable input on the potential changes that should be made to the pre- and post-processing of rsFC data of studies using short TRs.
1) Should we still perform slice-time correction ? My understanding is that it would not improve preprocessing.
2) Should we perform particular adjustments to the low-pass filter for rsFC data acquired using subsecond TRs ?
3) For studies on task-based activations, it is recommended to pay careful attention on the choice of the method used to correct for temporal correlations for studies using multiband sequences (e.g. AR2 and FAST rather than AR1, for instance). Is there a similar issue in the case of resting-state functional connectivity data ? How is CONN handling this issue ?
4) Do you have any other recommendations ?
Many thanks for your attention,
Maria
Reference: Chen J, Polimeni JR, Bollmann S, Glover GH. On the analysis of rapidly sampled fMRI. Neuroimage 2019; 188: 807-820.
