California Institute of Technology
This study investigates the computational mechanisms associated with psychiatric disease dimensions. The study will characterize the relationship between computational parameter estimates of task performance and psychiatric symptoms and diagnoses with a longitudinal approach over a 12 month interval. Participants will be healthy participants recruited through Prolific an on-line crowdsourcing service, and psychiatric patients and healthy participants recruited via UCLA Psychiatry Clinics and UCLA's STAND Program
The goal of computational psychiatry is to gain knowledge about underlying neurocomputational processes that underpin psychiatric disorders and to leverage this knowledge for improving diagnosis and treatment. A key step toward achieving this goal is to develop measures of individual differences in computations obtained from a single individual that are reliable, robust and meaningfully relevant to psychiatric dysfunction. In order to attain these objectives, it is essential we substantiate relationships between candidate computational mechanisms and diagnostic categories, symptom dimensions a…
Inclusion criteria (healthy control participants): * Age range of 18 to 65. * Not currently having a psychiatric diagnosis determined after psychiatric evaluation by Drs. Tadayon-Nejad and Wei (both are board certified psychiatrists). * Ability to understand and perform experimental tasks, i.e. basic ability to communicate and comprehend tasks. * Ability to give informed consent. Exclusion criteria (healthy control participants): • Prior history and or current diagnosis of neurological disease. Inclusion criteria (patients): * Age range of 18 to 65. * Psychiatric diagnosis of any type of…
Measures of performance on behavioral tasks
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