Additional text, list of Tables A-F and figure including detailed demographic information and clinical variables describing the LAMS participants along with additional results.

Table A: Demographic information, clinical variables, and current medication usage (Mean ± Standard Deviation or Proportion) describing the LAMS participants (Total LAMS, Main LAMS2 (Bebko’s paper[5]), Included Participants). Table B: Demographic information, clinical variables, and current medication usage (Mean ± Standard Deviation or Proportion) describing the 57 youth LAMS from the three neuroimaging sites. Table C: The top 20 ranked brain regions according to the normalized weights (NW) to decode PGBI-10M at screen based on pattern of brain activation to loss blocks using a leave-one-out cross-validation framework. Table D: Measures of agreement between actual and decoded clinical scores for PGBI-10M at screen and closest to scan, based on functional neuroimaging scans (win and loss blocks) using the standard (whole-brain) template from the Pattern Recognition for Neuroimaging Toolbox (PRoNTo, http://www.mlnl.cs.ucl.ac.uk/pronto/). Table E: The complete list of brain regions according to the normalized weights (NW) to decode PGBI-10M at screen based on pattern of brain activation to win blocks using a leave-one-out cross-validation framework. Table F: The complete list of brain regions according to the normalized weights (NW) to decode PGBI-10M at screen based on pattern of brain activation to loss blocks using a leave-one-out cross-validation framework. Fig A: Maps for decoding PGBI-10M at screen based on patterns of activation to loss blocks using a leave-one-out cross-validation framework. Aa: Voxel-based predictive pattern. The colour bar indicates the weight of the voxels for decoding the clinical score. Ab: Region-based pattern localization map computed from the voxel based predictive pattern displayed in Fig Aa. The colour bar indicates the percentage of the total normalized weights that each anatomically labelled region explains. (DOC)