Fig. 6.

Sparse model’s anatomical projection. Projections (a) and schemaballs (b) of weightings for the sparsified classification model of stimulus domain, generated from whole-trial data of the DG ROI set. GLMnet identified the minimal subset of connections required for accurate classification of each stimulus domain along with weightings and bias terms. Lines represent the weightings of connections for each WM domains as follows: orange = position, green = number and purple = fractal. c Schemaball of t-values for maintenance of each domain relative to the ISI. Thresholded at p < 0.05 with FDR correction for multiple comparisons. Note, none of these connections, which contributed the most information for classification of the stimulus domains, was active for a single stimulus domain exclusively. d Repeating the sparsification analysis with the whole-brain ROI set generated comparable results in terms of the gross topography of position, number and fractal connectivity patterns (e). f As per the DG ROI set, the connections within the whole-brain that contributed the most information for classification of domains were generally active for multiple domains during maintenance