Abstract:
:A new method for detecting activations in random fields, which may be useful for addressing the issue of multiple comparisons in neuroimaging, is presented. This method is based on some constructs of mathematical morphology - specifically, morphological erosions and dilations - that enable the detection of active regions in random fields possessing moderate activation levels and relatively large spatial extension, which may not be detected by the standard methods that control the family-wise error rate. The method presented here permits an appropriate control of the false positive errors, without having to adjust any threshold values, other than the significance level. The method is easily adapted to permutation-based procedures (with the usual restrictions), and therefore does not require strong assumptions about the distribution and spatio-temporal correlation structure of the data. Some examples of applications to synthetic data, including realistic fMRI simulations, as well as to real fMRI and electroencephalographic data are presented, illustrating the power of the presented technique. Comparisons with other methods that combine voxel intensity and cluster size, as well as some extensions of the method presented here based on their basic ideas are presented as well.
journal_name
Neuroimagejournal_title
NeuroImageauthors
Marroquin JL,Biscay RJ,Ruiz-Correa S,Alba A,Ramirez R,Armony JLdoi
10.1016/j.neuroimage.2011.03.081subject
Has Abstractpub_date
2011-06-15 00:00:00pages
1954-67issue
4eissn
1053-8119issn
1095-9572pii
S1053-8119(11)00375-2journal_volume
56pub_type
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