Developmental perspectives on the origins of psychotic disorders: The need for a transdiagnostic approach.

Research on serious mental disorders, particularly psychosis, has revealed highly variable symptom profiles and developmental trajectories prior to illness-onset. As Dante Cicchetti pointed out decades before the term "transdiagnostic" was widely used, the pathways to psychopathology emerge in a system involving equifinality and multifinality. Like most other psychological disorders, psychosis is associated with multiple domains of risk factors, both genetic and environmental, and there are many transdiagnostic developmental pathways that can lead to psychotic syndromes. In this article, we discuss our current understanding of heterogeneity in the etiology of psychosis and its implications for approaches to conceptualizing etiology and research. We highlight the need for examining risk factors at multiple levels and to increase the emphasis on transdiagnostic developmental trajectories as a key variable associated with etiologic subtypes. This will be increasingly feasible now that large, longitudinal datasets are becoming available and researchers have access to more sophisticated analytic tools, such as machine learning, which can identify more homogenous subtypes with the ultimate goal of enhancing options for treatment and preventive intervention.

Linguistic correlates of suicidal ideation in youth at clinical high-risk for psychosis.

Suicidal ideation (SI) is prevalent among individuals at clinical high-risk for psychosis (CHR). Natural language processing (NLP) provides an efficient method to identify linguistic markers of suicidality. Prior work has demonstrated that an increased use of "I", as well as words with semantic similarity to "anger", "sadness", "stress" and "lonely", are correlated with SI in other cohorts. The current project analyzes data collected in an SI supplement to an NIH R01 study of thought disorder and social cognition in CHR. This study is the first to use NLP analyses of spoken language to identify linguistic correlates of recent suicidal ideation among CHR individuals. The sample included 43 CHR individuals, 10 with recent suicidal ideation and 33 without, as measured by the Columbia-Suicide Severity Rating Scale, as well as 14 healthy volunteers without SI. NLP methods include part-of-speech (POS) tagging, a GoEmotions-trained BERT Model, and Zero-Shot Learning. As hypothesized, individuals at CHR for psychosis who endorsed recent SI utilized more words with semantic similarity to "anger" compared to those who did not. Words with semantic similarity to "stress", "loneliness", and "sadness" were not significantly different between the two CHR groups. Contrary to our hypotheses, CHR individuals with recent SI did not use the word "I" more than those without recent SI. As anger is not characteristic of CHR, findings have implications for the consideration of subthreshold anger-related sentiment in suicidal risk assessment. As NLP is scalable, findings suggest that language markers may improve suicide screening and prediction in this population.

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. METHODS: Open-ended interviews were obtained from 170 healthy control participants, 167 CHR participants, and 89 PSY participants. We calculated the semantic similarity between IPASE items and "I" sentences from transcribed speech samples using S-BERT (Sentence Bidirectional Encoder Representation from Text). Kolmogorov-Smirnov tests were used to compare distributions across groups. A nonnegative matrix factorization of cosine similarity was performed to rank IPASE items. RESULTS: Spoken language of CHR individuals had the greatest semantic similarity to IPASE items when compared to both healthy control (s = 0.44, p < 10-14) and PSY (s = 0.36, p < 10-6) individuals, while IPASE scores were higher among PSY than CHR group participants. In addition, the nonnegative matrix factorization approach produced a data-driven domain that differentiated the CHR group from the others. CONCLUSIONS: We found that open-ended interviews elicited language with increased semantic similarity to the IPASE by participants in the CHR group compared with patients with psychosis. This demonstrates the utility of these methods for differentiating patients from healthy control participants. This complementary approach has the capacity to scale to large studies investigating phenomenological features of schizophrenia and potentially other clinical populations.

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. To date, no studies have yet examined the construct validity of key NLP features with respect to clinical ratings of thought disorder in a CHR cohort. Herein we test the association of key NLP metrics of coherence and complexity with ratings of positive and negative thought disorder, respectively, in 60 CHR individuals, using Andreasen's Scale of Assessment of Thought, Language and Communication (TLC) Scale to measure of positive and negative thought disorder. As hypothesized, in CHR individuals, the NLP metric of semantic coherence was significantly correlated with positive thought disorder severity and the NLP metrics of complexity (sentence length and determiner use) were correlated with negative thought disorder severity. The finding of construct validity supports the premise that NLP analytics, at least in respect to core features of reduction of coherence and complexity, are capturing clinically relevant language disturbances in risk states for psychosis. Further psychometric study is required, in respect to reliability and other forms of validity.

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. Methods: This report is based on clinical assessments and the client's first-person account during the height of the pandemic when stay at home orders were in place. Results: During the pandemic, the client demonstrated increased agency by taking on more responsibility at home and obtaining part-time employment. He showed improvement in his mood and relationships with others, had less symptom-related distress, and significantly reduced his cannabis use. The client interpreted these improvements in terms of changing his mindset toward more adaptive thoughts and engaging in healthy coping skills such as praying, reading, and healthy eating. Conclusions: This case highlights the importance of fostering agency in clients during a time of crisis and ensuring that clinicians be aware of potential biases about mental health symptom exacerbation.

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 (Mage = 23.32 ± 5.26), and 16 healthy controls (HCs; 7 male, 9 female) aged 18-34 (Mage = 25.37 ± 4.05). Qualitative data were obtained through open-ended interviews (30-45 min). No a priori hypotheses were made, and thematic analyses were used to develop themes. RESULTS: Four major themes and one subtheme related to identity were identified through the iterative thematic analysis: defining a self-concept (with a subtheme of creativity), identity development/formation, feeling different from others, and change from a former self. Over 80% of the CHR cohort spontaneously discussed topics related to their identity, compared to 38% of HCs. HCs only reported content within the defining a self-concept theme, while the CHR group reported content within all themes. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: The present study demonstrates that identity formation is a major process for youth in general and that psychosis experiences can make this process more challenging. CHR participants spontaneously brought up multiple themes related to identity in open-ended interviews, suggesting the relevance of this topic in this population. Clinicians should continue to probe identity-related concerns on an individual basis and research should focus on integrating this framework into the conceptualization and treatment of CHR. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

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. Inclusion criteria were broad, capturing a wide range of individuals with PLEs who have not yet experienced threshold psychosis, such as individuals in the general population with elevated self-reports of PLEs, as well as clinical groups diagnosed by clinician interviews (i.e., clinical- or ultra-high-risk for psychosis [CHR or UHR]). For this review, studies needed to include research aims and empirical research related to resilience, and use an established or author-defined measure of psychological and/or social resilience. Data reporting quality was assessed with the Strengthening the Reporting of Observational Studies in Epidemiology and place of residence, race/ethnicity/culture/language, occupation, gender/sex, religion, education, socioeconomic status, social capital (PROGRESS) guidelines. Study aims and measurement of key variables varied widely, and all studies were cross-sectional. In 73% of the studies, resilience was inversely associated with PLEs or psychosis risk status (e.g., CHR or UHR). Results related to specific resilience subscales were mixed. Author-defined resilience was typically related to internal/psychological resources. Future research, particularly longitudinal research involving multidimensional measurement of resilience (e.g., internal and external factors), along with well-defined theoretical models, are necessary before drawing firm conclusions on resilience and PLEs. We propose a dynamic, multifaceted, developmentally appropriate, and culturally sensitive model of resilience for future research. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

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.

Language as a biomarker for psychosis: A natural language processing approach.

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 (CHR) cohort studies. The potential value of linguistic biomarkers has been significantly magnified, however, by recent advances in natural language processing (NLP) and machine learning (ML). Such methodologies allow for the rapid and objective measurement of language features, many of which are not easily recognized by human raters. Here we review the key findings on language production disturbance in psychosis. We also describe recent advances in the computational methods used to analyze language data, including methods for the automatic measurement of discourse coherence, syntactic complexity, poverty of content, referential coherence, and metaphorical language. Linguistic biomarkers of psychosis risk are now undergoing cross-validation, with attention to harmonization of methods. Future directions in extended CHR networks include studies of sources of variance, and combination with other promising biomarkers of psychosis risk, such as cognitive and sensory processing impairments likely to be related to language. Implications for the broader study of social communication, including reciprocal prosody, face expression and gesture, are discussed.