Differential Expression of Anomalous Self-Experiences in Spontaneous Speech in Clinical High-Risk and Early-Course Psychosis Quantified by Natural Language Processing.

Background: Basic self-disturbance, or anomalous self-experiences (ASEs), is a core feature of the schizophrenia spectrum. We propose a novel method of natural language processing to quantify ASEs in spoken language by direct comparison to an inventory of self-disturbance, the Inventory of Psychotic-Like Anomalous Self-Experiences (IPASE). We hypothesized that there would be increased similarity in open-ended speech to the IPASE items in individuals with early-course psychosis (PSY) compared with healthy individuals, with clinical high-risk (CHR) individuals intermediate in similarity.

A case report and first-person account of an individual at risk for psychosis who improved during the COVID-19 pandemic.

Background: The COVID-19 pandemic is expected to increase stress and mental health symptoms. We present the case of a young man at risk for psychosis who has paradoxically shown symptomatic and functional improvement as a result of circumstances produced by COVID-19. These changes were unexpected given the client's persistent mental health struggles in the year leading up to the COVID-19 outbreak in the United States and the expectation of an exacerbation of psychotic-like symptoms.

Psychosis-like experiences and resilience: A systematic and critical review of the literature.

Resilience research has documented the ability to cope with traumatic and stressful situations and/or retain functioning given certain risk factors in the context of psychosis. In this study, we conducted the first systematic review of the literature on psychosis-like experiences (PLEs) and resilience. Fifteen articles (from 11 unique study samples) from 10 countries were included in this systematic review, with a total of 11,937 unique study participants.

Construct validity for computational linguistic metrics in individuals at clinical risk for psychosis: Associations with clinical ratings.

Language deficits are prevalent in psychotic illness, including its risk states, and are related to marked impairment in functioning. It is therefore important to characterize language impairment in the psychosis spectrum in order to develop potential preventive interventions. Natural language processing (NLP) metrics of semantic coherence and syntactic complexity have been used to discriminate schizophrenia patients from healthy controls (HC) and predict psychosis onset in individuals at clinical high-risk (CHR) for psychosis.

A qualitative study on identity in individuals at clinical high risk for psychosis: " … Why does it have to be one thing?".

Objective: Qualitative research can shed light on the subjective experiences of individuals at clinical high risk (CHR) for psychosis, complement quantitative research, broaden our understanding of experiencing CHR, and inform intervention development. The aim of this study was to explore life experiences of individuals at CHR through qualitative research.

Method: Participants were 37 individuals at CHR (20 male, 17 female) aged 16-34 ( = 23.

Negative symptoms and speech pauses in youths at clinical high risk for psychosis.

Aberrant pauses are characteristic of schizophrenia and are robustly associated with its negative symptoms. Here, we found that pause behavior was associated with negative symptoms in individuals at clinical high risk (CHR) for psychosis, and with measures of syntactic complexity-phrase length and usage of determiners that introduce clauses-that we previously showed in this same CHR cohort to help comprise a classifier that predicted psychosis. These findings suggest a common impairment in discourse planning and verbal self-monitoring that affects both speech and language, and which is detected in clinical ratings of negative symptoms.