Computational models can be used to decompose overall behavior into individual parameters that are designed to isolate specific cognitive and neural processes and provide new information about psychiatric disorders. However, it is not yet clear whether these computational parameters have sufficient reliability to repla...
Kurt Winsler, D. Barch, Megan A. Boudewyn et al.· Journal of Psychopathology a...· 0 citations
Objective: Different aspects of social-emotional processing are linked to unique whole-brain patterns of neural activity termed ‘activation states’. Autistic traits (ATs) in youth include impairments in socio-emotional processing that vary depending on age and co-morbidity. Characterizing differences in activation stat...
C. Lasch, Andrew T. Goldberg, D. Barch et al.· American Journal of Psychiat...· 0 citations
It is shown that jointly modeling decision dynamics – accounting not only for choices but also response time distributions, together with hierarchical Bayesian parameter estimation – improves the ability to disentangle separable learning and cognitive control processes.
Krishn Bera, Alexander Fengler, Megan A. Boudewyn et al.· PLoS Computational Biology· 0 citations
PSD was associated with epigenetic signatures at birth, with a subset of associations persisting across early childhood and converging on cellular stress response biology, suggesting differential biological embedding of structural versus psychological dimensions of adversity.
Anna M. Constantino-Pettit, A. Lussier, Mia Ruppel et al.· bioRxiv· 0 citations
BACKGROUND
Variation in pubertal maturation relative to same-age, same-sex peers (pubertal timing) has been linked to increased risk for depressive symptoms during adolescence. This developmental period is also characterized by substantial reorganization of functional brain networks. However, how pubertal timing relate...
Athanasia Metoki, B. Kay, R. Chauvin et al.· Biological Psychiatry: Cogni...· 0 citations
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