About this Research Topic
This Research Topic aims to highlight research examining the computational and neural mechanisms of psychedelics like psilocybin and LSD, in particular for the treatment of mental illness. We are also interested in research that identifies computational or neural markers that could be leveraged to predict subjective effects of psychedelics, which may be associated with subsequent treatment responses.
We are particularly interested in submissions that focus on treatment response prediction, treatment guidance, treatment and risk monitoring of psychedelic therapy.
At the technology/approach level, we are particularly interested in the following methods:
(i) computational models of behavior (including reinforcement learning and Bayesian models)(ii) noninvasive measures of brain activity including neuroimaging and electroencephalography, (iii) data- and theory-driven computational models of brain activity.
Keywords: Psilocybin, LSD, Ketamine, Neural mechanisms, Computational mechanisms, Anti-depressant, Anti-suicidal effects, Belief formation, Learning, Modelling
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.