Neuropsychiatric disorders pose a high societal cost, but their treatment is hindered by lack
of objective outcomes and fidelity metrics. AI technologies and specifically Natural …

Background Pathophysiological inquiries into schizophrenia require a consideration of one
of its most defining features: disorganization and impoverishment in verbal behavior. This …

Abstract Background and Hypothesis Any form of coherent discourse depends on saying
different things about the same entities at different times. Such recurrent references to the …

Disrupted language in psychotic disorders, such as schizophrenia, can manifest as false
contents and formal deviations, often described as thought disorder. These features play a …

Abstract Background and Hypothesis Speech markers are digitally acquired,
computationally derived, quantifiable set of measures that reflect the state of neurocognitive …

Background Natural language processing (NLP) holds promise to transform psychiatric
research and practice. A pertinent example is the success of NLP in the automatic detection …

Speech in psychosis has long been ascribed as involving 'loosening of associations'. We
pursued the aim to elucidate its underlying cognitive mechanisms by analysing picture …

Preventing relapse in schizophrenia improves long-term health outcomes. Repeated
episodes of psychotic symptoms shape the trajectory of this illness and can be a detriment to …

Both the ability to speak and to infer complex linguistic messages from sounds have been
claimed as uniquely human phenomena. In schizophrenia, formal thought disorder (FTD) …

Schizophrenia and related psychoses are complex neuropsychiatric diseases representing
dysconnectivity across multiple scales, through the micro (cellular), meso (brain network) …