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help > RE: How to describe the threshold of the result
Mar 31, 2017 03:03 PM | xiuqin jia
RE: How to describe the threshold of the result
Hi Alfonso,
Thank you very, very much for your reply. This is a follow up question.
When I provided the result output from the CONN to the reviewer, this reviewer thought that I might misinterpret this result. For reminding purpose, I have performed a seed-to-voxel FC analysis at rs-fMRI on Patients and Controls. I have attached the second-level seed-to-voxel analysis in the attached Figure 1 and its corresponding results in the attached file Figure 2. In order to answer the reviewer's question, "Was there then also a small cluster-size threshold applied, in addition to FDR? how FDR was applied?", I further set the height threshold at p < 0.001 uncorrected and cluster-size > 20 voxels (see the attached Figure 3) (I guess this did not answer the reviewer's question). According to the result in Figure3, only the first cluster with 129 voxels survived cluster-level FDR correction with the cluter p-FDR =0.018929 (is that correct?). Then, I stated it that "The threshold for significant changes was set to q < 0.05 whole brain cluster level FDR corrected with a cluster building threshold of p < 0.001 uncorrected (cluster size greater than 20 voxels) on voxel level". Based on my response, this reviewer thought that the numbers in the results list (in Figure 3) were misinterpreted and the cluster-level FDR correction in CONN is done at the ROI-level after the primary clusters have already been appropriately identified. To be honest, I do not completely follow the reviewer's suggestion. My question is how to perform the seed-to-voxel cluster-level FDR correction, and what does it mean that the cluster-level FDR correction in CONN is done at the ROI-level after the primary clusters have already been appropriately identified. What should I do if I still want to use CONN for FDR correction? Would you please recommend some publications about the cluster-level FDR correction?
My question may be too naive, but I really need your help. Thank you very much.
Best, Xiuqin
Thank you very, very much for your reply. This is a follow up question.
When I provided the result output from the CONN to the reviewer, this reviewer thought that I might misinterpret this result. For reminding purpose, I have performed a seed-to-voxel FC analysis at rs-fMRI on Patients and Controls. I have attached the second-level seed-to-voxel analysis in the attached Figure 1 and its corresponding results in the attached file Figure 2. In order to answer the reviewer's question, "Was there then also a small cluster-size threshold applied, in addition to FDR? how FDR was applied?", I further set the height threshold at p < 0.001 uncorrected and cluster-size > 20 voxels (see the attached Figure 3) (I guess this did not answer the reviewer's question). According to the result in Figure3, only the first cluster with 129 voxels survived cluster-level FDR correction with the cluter p-FDR =0.018929 (is that correct?). Then, I stated it that "The threshold for significant changes was set to q < 0.05 whole brain cluster level FDR corrected with a cluster building threshold of p < 0.001 uncorrected (cluster size greater than 20 voxels) on voxel level". Based on my response, this reviewer thought that the numbers in the results list (in Figure 3) were misinterpreted and the cluster-level FDR correction in CONN is done at the ROI-level after the primary clusters have already been appropriately identified. To be honest, I do not completely follow the reviewer's suggestion. My question is how to perform the seed-to-voxel cluster-level FDR correction, and what does it mean that the cluster-level FDR correction in CONN is done at the ROI-level after the primary clusters have already been appropriately identified. What should I do if I still want to use CONN for FDR correction? Would you please recommend some publications about the cluster-level FDR correction?
My question may be too naive, but I really need your help. Thank you very much.
Best, Xiuqin
Threaded View
Title | Author | Date |
---|---|---|
xiuqin jia | Mar 28, 2017 | |
Alfonso Nieto-Castanon | Mar 30, 2017 | |
xiuqin jia | Mar 31, 2017 | |