Human ratings of conceptual disorganization, poverty of content, referential cohesion and
illogical thinking have been shown to predict psychosis onset in prospective clinical high risk …

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 …

Voice atypicalities have been a characteristic feature of schizophrenia since its first
definitions. They are often associated with core negative symptoms such as flat affect and …

The language and speech of individuals with psychosis reflect their impairments in cognition
and motor processes. These language disturbances can be used to identify individuals with …

Background Clinicians routinely use impressions of speech as an element of mental status
examination. In schizophrenia-spectrum disorders, descriptions of speech are used to …

Natural language processing (NLP) tools are increasingly used to quantify semantic
anomalies in schizophrenia. Automatic speech recognition (ASR) technology, if robust …

Purpose Current diagnosis and treatment in psychiatry are heavily dependent on patients'
reports and clinician's judgment, thus are sensitive to memory and subjectivity biases. On …

Negative symptoms in schizophrenia are associated with significant burden and possess
little to no robust treatments in clinical practice today. One key obstacle impeding the …

Objective Acoustic phonetic methods are useful in examining some symptoms of
schizophrenia; we used such methods to understand the underpinnings of aprosody. We …

Background Machine learning–based facial and vocal measurements have demonstrated
relationships with schizophrenia diagnosis and severity. Demonstrating utility and validity of …