[HTML][HTML] Individual differences in computational psychiatry: A review of current challenges

P Karvelis, MP Paulus, AO Diaconescu - Neuroscience & Biobehavioral …, 2023 - Elsevier
Bringing precision to the understanding and treatment of mental disorders requires
instruments for studying clinically relevant individual differences. One promising approach is …

Computational psychiatry needs time and context

PF Hitchcock, EI Fried, MJ Frank - Annual review of psychology, 2022 - annualreviews.org
Why has computational psychiatry yet to influence routine clinical practice? One reason may
be that it has neglected context and temporal dynamics in the models of certain mental …

Self-judgment dissected: A computational modeling analysis of self-referential processing and its relationship to trait mindfulness facets and depression symptoms

PF Hitchcock, WB Britton, KP Mehta… - Cognitive, Affective, & …, 2023 - Springer
Cognitive theories of depression, and mindfulness theories of well-being, converge on the
notion that self-judgment plays a critical role in mental health. However, these theories have …

Rumination derails reinforcement learning with possible implications for ineffective behavior

P Hitchcock, E Forman, N Rothstein… - Clinical …, 2022 - journals.sagepub.com
How does rumination affect reinforcement learning—the ubiquitous process by which
people adjust behavior after error to behave more effectively in the future? In a within …

[HTML][HTML] A low-level perceptual correlate of behavioral and clinical deficits in ADHD

A Mihali, AG Young, LA Adler… - Computational …, 2018 - ncbi.nlm.nih.gov
In many studies of attention-deficit hyperactivity disorder (ADHD), stimulus encoding and
processing (perceptual function) and response selection (executive function) have been …

Individual differences in computational psychiatry: A review of current challenges

P Karvelis, M Paulus, A Diaconescu - 2022 - osf.io
Bringing precision to the understanding and treatment of mental disorders requires
instruments for studying clinically relevant individual differences. One promising approach is …

[HTML][HTML] Anxiety and depression related abnormalities in socio-affective learning

D Hammond, P Xu, H Ai, NT Van Dam - Journal of Affective Disorders, 2023 - Elsevier
Affective distress (as observed in anxiety and depression) has been observed to be related
to insufficient sensitivity to changing reinforcement during operant learning. Whether such …

Learning Mechanisms to Predispose Risky Alcohol Drinking Behaviors During Young Adulthood

H Chen - 2023 - tud.qucosa.de
Abstract (EN) Alcohol use disorder (AUD) is a mental disorder that negatively affects
personal health and burdens the global health system. Alcohol-attributed harms can also …

[PDF][PDF] Computational Psychiatry

A Primer - 2023 - tiagomaia.org
Tourette syndrome (TS) is a disorder characterized by tics—repetitive, stereotyped
movements and oral-nasopharyngeal noises—that are usually preceded by aversive …

[图书][B] Rumination Derails Learning about Potentially Reinforcing Cues

PF Hitchcock - 2019 - search.proquest.com
People who brood about their feelings and about what is going wrong in their lives—ie,
ruminate—tend to engage in ineffective behaviors. Ineffective behaviors in turn generate …