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 in youths include impairments in socioemotional processing that vary depending on age and comorbidity. Characterizing differences in activation states assoc...
C. Lasch, Andrew T. Goldberg, D. Barch et al.· American Journal of Psychiat...· 0 citations
Various neurocognitive processes contribute to reinforcement learning (RL) and decision making, requiring careful task designs and computational modeling to disentangle them. People rely on capacity-limited working memory (WM) to rapidly and flexibly adapt behavior during learning, together with slower incremental RL p...
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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