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. 2019 Feb 1;186:286–300. doi: 10.1016/j.neuroimage.2018.11.006

Table 6.

Overall comparison of FEAT and dHCP pipelines using t-statistics from the GLM output and significantly activated voxel counts for all 15 subjects. T-statistics: using the dHCP pipeline, all grey matter ROIs showed an increase in mean t-statistic (maximum t-statistic in parentheses). This increase in t-statistics was revealed to be statistically significant (voxel-based thresholding, 5% FWER corrected) using the constrained-region analysis, localised to the PoCG. # active voxels: the dHCP pipeline also resulted in an increase in the number of significantly active voxels using all three thresholding approaches. % white matter: voxel-based thresholding was not valid due to zero voxels being activated. Cluster-based thresholding showed a clear reduction in mislocalised activity using the dHCP pipeline. TFCE-based thresholding showed a very modest increase in mislocalised activity using the dHCP pipeline, possibly due to unavoidable ‘enhancement’ of white matter voxels by the neighbouring grey matter. Voxel is FDR corrected; cluster and TFCE are FWER corrected. ACC = anterior cingulate cortex; PoCG = postcentral gyrus; TFCE = threshold free cluster enhancement; * = statistically significant difference.

FEAT dHCP
T-statistics ACC 1.529 (3.518) 2.104 (4.030)
Insula 2.651 (5.244) 2.977 (5.224)
PoCG 2.822 (6.568) 2.959* (6.987)
Thalamus 2.168 (6.197) 2.565 (6.797)



# active voxels Voxel 0 66,984
Cluster 60,175 82,837
TFCE 16,823 66,756



% white matter Voxel 17.598
Cluster 10.051 5.400
TFCE 4.412 4.687