As the datasets of interest (RSFA, rsMEG, and ECG/PulseOx measures) were from different modalities, we computed summary measures for each of these metrics to allow statistical analysis without excessive risk of multiple statistical comparisons.
Since we were also interested in the explicit computation of the significant part of the topographic difference between modalities, we complemented the analysis of correlations, by illustrating the significant part of each individual's difference of attention correlates between modalities.
To guarantee that we could compare effects within the comprehension modality with between-modality effects, we needed to establish syntactic repetition effects in the brain within the comprehension modality.
To avoid underestimating the computed correlation as a consequence of intrinsic differences between cell subpopulations, we computed a weighted Spearman correlation using the R package wCorr44.
Finally, we computed modality-exclusivity scores for each concept-property item, indicating to what extent properties are perceived exclusively by one modality.
Touch-based interfaces are one of the modalities we explore at the MIT Media Lab.
In order to determine how similar the two modality profiles of a particular item pair are, we computed the angle between their two vectors.
Based on these ratings, we computed a measure of modality exclusivity, the degree to which a property is perceived exclusively through one sensory modality.
To highlight interindividual variability in the patterns of GM and WM density abnormalities and GM hypometabolism in KS, we computed a map for each modality, displaying the number of patients with significant hypodensity or hypometabolism in each voxel.
In order to support the comparisons made by visual inspection, we computed the correlations, within individuals, between the cortical current distributions obtained for the two modalities, for baseline and main task-related activity, in all frequency bands.
