Abstract Background and Hypothesis Despite decades of “proof of concept” findings
supporting the use of Natural Language Processing (NLP) in psychosis research, clinical …

Abstract Purpose of Review This review will cover the most relevant findings on the use of
machine learning (ML) techniques in the field of non-affective psychosis, by summarizing the …

Computerized natural language processing (NLP) allows for objective and sensitive
detection of speech disturbance, a hallmark of schizophrenia spectrum disorders (SSD). We …

Objectives: Owing to the rapid progress of natural language processing (NLP), the role of
NLP in the medical field has radically gained considerable attention from both NLP and …

Computational semantics, a branch of computational linguistics, involves automated
meaning analysis that relies on how words occur together in natural language. This offers a …

In the clinical linguistics of schizophrenia, syntactic complexity has received much attention.
In this study, we address whether syntactic complexity deteriorates within the six months …

Objective To assess cortical thickness (CT) and surface area (SA) of frontal, temporal, and
parietal brain regions in a large clinical high risk for psychosis (CHR) sample, and to identify …

Introduction Symptoms of schizophrenia are closely related to aberrant language
comprehension and production. Macroscopic brain changes seen in some patients with …

Background Computational linguistic methodology allows quantification of speech
abnormalities in non-affective psychosis. For this patient group, incoherent speech has long …

Abstract Background and Hypothesis Active inference has become an influential concept in
psychopathology. We apply active inference to investigate conceptual disorganization in first …