help
help > false positives cluster level of inference
Jul 5, 2016 08:07 PM | Mary Newsome
false positives cluster level of inference
Hi Alonso!
I was just wondering about the Eklund, Nichols & Knutsson (2016) article that suggests that the cluster level of inference in SPM doesn't protect against false positives, and suggests that results at the voxel-level are accurate, although conservative. The authors suggested a solution of a non-parametric permutation method, which is accurate regarding false positives and not overly conservative. I don't know about the technical feasibility of this, but I wondered if there could be some way to incorporate the SnPM toolbox with Conn. Another approach may be to only refer to the voxel-level results (and not cluster-level), but that may be too conservative.
Thanks very much for your thoughts, as always!
Mary
I was just wondering about the Eklund, Nichols & Knutsson (2016) article that suggests that the cluster level of inference in SPM doesn't protect against false positives, and suggests that results at the voxel-level are accurate, although conservative. The authors suggested a solution of a non-parametric permutation method, which is accurate regarding false positives and not overly conservative. I don't know about the technical feasibility of this, but I wondered if there could be some way to incorporate the SnPM toolbox with Conn. Another approach may be to only refer to the voxel-level results (and not cluster-level), but that may be too conservative.
Thanks very much for your thoughts, as always!
Mary
Threaded View
| Title | Author | Date |
|---|---|---|
| Mary Newsome | Jul 5, 2016 | |
| Jeff Browndyke | Jul 11, 2016 | |
| Alfonso Nieto-Castanon | Jul 13, 2016 | |
| David White | Jul 8, 2016 | |
| Roger Mateu | Jul 12, 2016 | |
| Stephen L. | Nov 23, 2017 | |
| Alfonso Nieto-Castanon | Jul 5, 2016 | |
