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First, to the first regression model the time-adjusted MAP was entered to describe MAP.
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Presence or absence data (recorded by field mapping) was entered into the SDMs and used to predict the potential distribution of particular species.
To calculate peak flood discharge using the WMS model, first, digital maps were entered into the software.
Individual GM MRI W score maps and PET W scores maps were entered in a one-paired t test analysis with one group (patients with ALS) and two images per participant (i.e. MRI and PET W score maps), using SPM5.
The resulting statistical maps were entered in a second-level one-sample t-test.
As for the day 2 analysis, individual performance maps were entered into one-sample t-tests in SPM8.
Finally, the resulting voxel-wise GM volume maps were entered as covariates in the functional data analysis.
Individual VMHC maps were entered into a voxel-wise two-tailed t-test to examine the differences in interhemispheric functional connectivity between groups.
Individual VMHC maps were entered into a voxelwise two-sample t-test to examine the differences in interhemispheric functional connectivity between groups.
To test for regional group differences in VMHC, individual-level VHMC maps were entered into a group-level voxelwise t-test.
Statistical parametric maps were computed for each contrast of interest (the correct trials for each condition), and these contrast maps were entered into a second-level model treating individual subjects as a random effect.
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CEO of Professional Science Editing for Scientists @ prosciediting.com