Functional magnetic resonance imaging is used to extract functional networks connecting
correlated human brain sites. Analysis of the resulting networks in different tasks shows that (a…

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-risk (…

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 …

The lexicon consists of a set of word meanings and their semantic relationships. A systematic
representation of the English lexicon based in psycholinguistic considerations has been …

To understand how the human visual system analyzes images, it is essential to know the
structure of the visual environment. In particular, natural images display consistent statistical …

The hallucinogenic brew Ayahuasca, a rich source of serotonergic agonists and reuptake
inhibitors, has been used for ages by Amazonian populations during religious ceremonies. …

It is still not possible to predict whether a given molecule will have a perceived odor or what
olfactory percept it will produce. We therefore organized the crowd-sourced DREAM …

Background Psychosis has various causes, including mania and schizophrenia. Since the
differential diagnosis of psychosis is exclusively based on subjective assessments of oral …

We explore to what extent the combination of predictive and interpretable modeling can
provide new insights for functional brain imaging. For this, we apply a recently introduced …

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 …