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Recent psychiatric research increasingly adopts transdiagnostic approaches that examine mechanisms and constructs cutting across traditional diagnostic categories.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S0033291726106217_sec2\" sec-type=\"methods\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Here, we applied reinforcement learning models together with transdiagnostic measures of psychopathology to formally assess social evaluation learning. Human participants (\n                      <jats:italic>n<\/jats:italic>\n                      = 193) completed the Social Evaluation Learning Task, learning whether computer personas \u2018liked\u2019, \u2018disliked\u2019, or were \u2018neutral\u2019 toward them. Participants also completed six questionnaires assessing socially relevant psychiatric traits.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S0033291726106217_sec3\" sec-type=\"results\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Computational modeling revealed that a model with separate learning parameters for positive and negative feedback best accounted for the learning behavior. Exploratory factor analysis identified three transdiagnostic factors. A factor reflecting social avoidance predicted enhanced learning from negative feedback and a reduced positive learning bias. Socially avoidant individuals with heightened negative learning rates additionally showed slower decision times specifically in positive social contexts. A second factor linking with emotional insensitivity for others predicted a lower choice accuracy in both positively and negatively valenced conditions. No significant associations emerged for a third factor reflecting depressive and mood-related symptoms.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S0033291726106217_sec4\" sec-type=\"conclusions\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>These results demonstrate how transdiagnostic trait dimensions shape social learning mechanisms through specific behavioral and computational processes.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1017\/s0033291726106217","type":"journal-article","created":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T08:46:26Z","timestamp":1792572386000},"update-policy":"https:\/\/doi.org\/10.1017\/policypage","source":"Crossref","is-referenced-by-count":0,"title":["Transdiagnostic factors differentially shape choices and decision times in social evaluative 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