Fig. 1: Pipeline to construct the sensory integration model.
From: A function-based mapping of sensory integration along the cortical hierarchy
a Mean time series was computed separately for V1, S1, and A1 based on Glasser’s MMP parcellations. b A non-negative linear model was used to generate sensory components within each vertex by using primary sensory time series as predictors. The lower Venn diagram provides a schematic of the different components within the above equation. c Ratios of the variance explained by primary sensory predictors were ranked and rescaled to a range from 0 to 1, representing one dimension of the sensory integration model, and were named magnitude (r). For each vertex, three sensory parameters (βV, βS, and βA) were converted into an angle (θ) using hue transformation, representing the other dimension that indicated the proportional contributions of different sensory modalities.
