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help > RE: CONN denoising & Eklund clusterwise inflation
Jan 15, 2018 07:01 PM | Stephen L. - Coma Science Group, GIGA-Consciousness, Hospital & University of Liege
RE: CONN denoising & Eklund clusterwise inflation
Addendum: in Eklund's paper's supplementary PDF, the following can
be found:
«Supplementary Figure 14 shows that the SACFs are far from a squared exponential. The empirical SACFs are close to a squared
exponential for small distances, but the autocorrelation is higher than expected for large distances. This could be the reason
why the parametric methods work rather well for a high cluster defining threshold (p = 0.001), and not at all for a low threshold
(p = 0.01). A low threshold gives large clusters with a large radius, for which the tail of the SACF is quite important. For a high
threshold, resulting in rather small clusters with a small radius, the tail is not as important.»
This seems to go along the same lines as what we discussed before, so I would say it's likely that CONN's denoising reduces the extent of this issue :-)
«Supplementary Figure 14 shows that the SACFs are far from a squared exponential. The empirical SACFs are close to a squared
exponential for small distances, but the autocorrelation is higher than expected for large distances. This could be the reason
why the parametric methods work rather well for a high cluster defining threshold (p = 0.001), and not at all for a low threshold
(p = 0.01). A low threshold gives large clusters with a large radius, for which the tail of the SACF is quite important. For a high
threshold, resulting in rather small clusters with a small radius, the tail is not as important.»
This seems to go along the same lines as what we discussed before, so I would say it's likely that CONN's denoising reduces the extent of this issue :-)
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Title | Author | Date |
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Stephen L. | Nov 23, 2017 | |
Stephen L. | Jan 15, 2018 | |
Alfonso Nieto-Castanon | Nov 24, 2017 | |
Stephen L. | Nov 27, 2017 | |
Stephen L. | Jul 2, 2019 | |