4.4. Data analysis
Image processing and statistical analysis were conducted with Statistical Parametric Mapping (SPM, Friston et al., 1995) version 5. Pre-processing with SPM included realignment and spatial normalization (template of the Montreal Neurological Institute, MNI). Images were smoothed using a Gaussian filter of 8 mm FWHM. Cortical activations were rendered onto the surface of a standard MNI brain. For the projection on brain slices, the same template was used. For the statistical analysis of regional differences in cerebral activation, all conditions (including 5 and 6) were modelled in a blocked design at subject level. To identify the distribution of activations related to cerebral processing beyond primary visuomotor control in the experimental conditions 1–3, each of these three conditions was contrasted to the visuomotor control condition (4) at subject level, after which each contrast was separately analysed at group level using one sample t-tests. To look at the activations that were commonly present in all three conditions, a conjunction analysis was conducted of the three SPM < Z > maps obtained from the t-tests. For the contrasts of the experimental conditions with the visuomotor control condition, an initial threshold of p < 0.001 was used (response height at voxel-level, uncorrected; extent kE of 20 voxels). Differences between conditions 1, 2 and 3 were made by making comparisons at second level using a one-way ANOVA for repeated measures (random effect analysis). The contrasts of the conditions 1,2,3 with the baseline task of passive viewing a stationary ball in the centre of the screen were used in the ANOVA. Conditions were assumed to be dependent and equally variant, whereas subjects were assumed to be independent and equally variant.