This paper formulates the action of psychedelics by integrating the free-energy principle and
entropic brain hypothesis. We call this formulation relaxed beliefs under psychedelics …

BackgroundThis paper aims to synthesise the literature on machine learning (ML) and big
data applications for mental health, highlighting current research and applications in …

Previous attempts to identify a unified theory of brain serotonin function have largely failed to
achieve consensus. In this present synthesis, we integrate previous perspectives with new …

The entropic brain hypothesis proposes that within upper and lower limits, after which
consciousness may be lost, the entropy of spontaneous brain activity indexes the …

Language and speech are the primary source of data for psychiatrists to diagnose and treat
mental disorders. In psychosis, the very structure of language can be disturbed, including …

Rationale Posttraumatic stress disorder (PTSD) is a chronic condition that has wide-ranging
negative effects on an individual's health and interpersonal relationships. Treatments with …

AIMS: In this proof-of-principle study, our aim was to test automated speech analyses
combined with Machine Learning to predict later psychosis onset in youths at clinical high …

Background: Posttraumatic stress disorder often does not resolve after conventional
psychotherapies or pharmacotherapies. Pilot studies have reported that 3, 4 …

Increasingly, data-driven methods have been implemented to understand psychopathology.
Language is the main source of information in psychiatry and represents “big data” at the …

Language disturbances are a key feature of schizophrenia. Although in its early stages, the
emerging field of research focused on computational linguistics suggests an important role …