Publications by authors named "Corcoran C"

Article Synopsis
  • The study focuses on the clinical high risk for psychosis (CHR-p) syndrome, distinguishing between two types of stigma: 'labelling-related' stigma stemming from the identification itself and 'symptom-related' stigma from experiencing mental health symptoms.
  • It compares the rates and effects of these stigmas on self-esteem, social support, and quality of life in individuals identified as CHR-p.
  • Results showed that symptom-related stigma was more strongly linked to negative psychosocial effects, while labelling-related stigma involved higher levels of secrecy, indicating the need for interventions that address the full stigma experience for those at risk.
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Objective: Prior qualitative studies show that individuals with psychoticlike experiences express difficulties concerning their identity. However, previous work has studied individuals at clinical high risk for psychosis (CHR) and individuals with first-episode psychosis (FEP) separately. Here, we compare the experiences of individuals at CHR, individuals with FEP, and healthy individuals.

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Purpose: To understand pediatricians', community partners', and food insecure parent/caregivers' perspectives on addressing food access and nutrition education in clinical settings, and to conduct a formative evaluation of a clinical-community food access and nutrition education intervention.

Design: A mixed-methods evaluation.

Setting: Data was collected from pediatricians and parents/caregivers recruited from one urban pediatric primary care clinic, and from community partners involved in food access.

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Article Synopsis
  • * Researchers have engineered a bispecific antibody called glycofusion bispecific (GBi) that links the α-dG protein to the β-DG protein to potentially improve muscle function in affected individuals.
  • * The study found that adding a sugar mixture containing uridine, galactose, and manganese ions (Mn) to the culture medium enhanced the matriglycan modification and binding activity of the GBi antibody, with Mn being especially critical for
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This study investigated relations between a measure of early-stage visual function and self-reported visual anomalies in individuals at clinical high risk for psychosis (CHR-P). Eleven individuals at CHR identified via the Structured Interview for Psychosis-Risk Syndromes (SIPS) were recruited from a CHR-P research program in NYC. The sample was ~36% female, ranging from 16 to 33 years old ( = 23.

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Speech and language differences have long been described as important characteristics of autism spectrum disorder (ASD). Linguistic abnormalities range from prosodic differences in pitch, intensity, and rate of speech, to language idiosyncrasies and difficulties with pragmatics and reciprocal conversation. Heterogeneity of findings and a reliance on qualitative, subjective ratings, however, limit a full understanding of linguistic phenotypes in autism.

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Aim: There is concern that the provision of the clinical high risk for psychosis (CHR) label is stigmatizing. Prior research suggests people have nuanced reactions to feedback involving the CHR label, including a positive experience receiving feedback and improvement in negative emotions (e.g.

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Article Synopsis
  • The study explores the relationship between verbal communication and mental health evaluation, particularly in early psychosis, using natural-language-processing (NLP) techniques.
  • Researchers analyzed speech from individuals at risk of psychosis and a control group, identifying various NLP features that correlate with psychotic symptoms.
  • Findings suggest that subtle speech impairments can effectively indicate mental health risks, proposing a new framework for using speech analysis in clinical assessments.
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Background: Over 65s are frequent attenders to the Emergency Department (ED) and more than half are admitted for overnight stays. Early assessment and intervention by a dedicated ED-based Health and Social Care Professionals (HSCP) team reduces ED length of stay and the risk of hospital admissions among older adults while improving patient health-related quality-of-life and satisfaction with care. This study aims to evaluate whether augmenting the treatment as usual for older adults admitted to ED is cost-effective.

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The prospective study of youths at clinical high risk (CHR) for psychosis, including neuroimaging, can identify neural signatures predictive of psychosis outcomes using algorithms that integrate complex information. Here, to identify risk and psychosis conversion, we implemented multiple kernel learning (MKL), a multimodal machine learning approach allowing patterns from each modality to inform each other. Baseline multimodal scans (n = 74, 11 converters) included structural, resting-state functional imaging, and diffusion-weighted data.

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Background: Population size, prevalence, and incidence are essential metrics that influence public health programming and policy. However, stakeholders are frequently tasked with setting performance targets, reporting global indicators, and designing policies based on multiple (often incongruous) estimates of these variables, and they often do so in the absence of a formal, transparent framework for reaching a consensus estimate.

Objective: This study aims to describe a model to synthesize multiple study estimates while incorporating stakeholder knowledge, introduce an R Shiny app to implement the model, and demonstrate the model and app using real data.

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Background: Cognitive behavioural therapy (CBT) can be effective in the general population of people with schizophrenia. It is still unclear whether CBT can be effectively used in the population of people with a first-episode or recent-onset psychosis.

Objectives: To assess the effects of adding cognitive behavioural therapy to standard care for people with a first-episode or recent-onset psychosis.

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This article describes the rationale, aims, and methodology of the Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ). This is the largest international collaboration to date that will develop algorithms to predict trajectories and outcomes of individuals at clinical high risk (CHR) for psychosis and to advance the development and use of novel pharmacological interventions for CHR individuals. We present a description of the participating research networks and the data processing analysis and coordination center, their processes for data harmonization across 43 sites from 13 participating countries (recruitment across North America, Australia, Europe, Asia, and South America), data flow and quality assessment processes, data analyses, and the transfer of data to the National Institute of Mental Health (NIMH) Data Archive (NDA) for use by the research community.

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Early defects in placenta development are thought to underlie a range of adverse pregnancy conditions including miscarriage, fetal growth abnormalities, preeclampsia, and stillbirth. Differentiating trophoblast stem cells undergo a choreographed allocation of syncytiotrophoblast and extravillous trophoblast cells in response to signaling cues from the developing fetus and the uterine environment. The expression and activity of transcription factors and chromatin modifying enzymes change during differentiation to appropriately reshape the chromatin landscape in each cell type.

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Machine learning approaches using structural magnetic resonance imaging (sMRI) can be informative for disease classification, although their ability to predict psychosis is largely unknown. We created a model with individuals at CHR who developed psychosis later (CHR-PS+) from healthy controls (HCs) that can differentiate each other. We also evaluated whether we could distinguish CHR-PS+ individuals from those who did not develop psychosis later (CHR-PS-) and those with uncertain follow-up status (CHR-UNK).

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Individuals at clinical high risk for psychosis (CHR) report a strong desire for psychoeducation, and clinical guidelines recommend psychoeducation in early psychosis care. Although several CHR psychoeducation models have been developed, additional research is needed to establish the effectiveness of these models. The goal of this study was to conduct a pilot trial of the Brief Educational Guide for Individuals in Need (BEGIN).

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Importance And Objective: The brain-penetrant tetracycline antibiotics, minocycline and doxycycline, have been proposed as potential candidate drugs for treatment of schizophrenia, based on preclinical studies and clinical trials. A potential long-term beneficial effect of these antibiotics for schizophrenia patients has not been investigated. This study was designed to determine if redemption of doxycycline prescription in schizophrenia is associated with decreased incidence of disability pension, a proxy for long-term functioning.

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Mental illness research routinely includes unfamiliar or potentially frightening procedures like lumbar puncture (LP), contributing to low enrollment and retention. Previous studies related to LP acceptance have focused on older individuals, and little information on participant preferences for educational materials is available. We developed an online survey assessing existing knowledge, comfort and concerns, and preferences for educational materials in the context of our clinical study on schizophrenia spectrum conditions (SSCs).

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Importance: The lack of robust neuroanatomical markers of psychosis risk has been traditionally attributed to heterogeneity. A complementary hypothesis is that variation in neuroanatomical measures in individuals at psychosis risk may be nested within the range observed in healthy individuals.

Objective: To quantify deviations from the normative range of neuroanatomical variation in individuals at clinical high risk for psychosis (CHR-P) and evaluate their overlap with healthy variation and their association with positive symptoms, cognition, and conversion to a psychotic disorder.

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Article Synopsis
  • The study aims to unify two tools used to assess clinical high risk for psychosis: the SIPS and CAARMS.
  • Experts conducted workshops and videoconferences to achieve harmonization of symptom ratings and criteria for psychosis.
  • The outcome is a new semi-structured interview (PSYCHS) that allows for consistent evaluation and comparison of findings in research studies related to at-risk mental states.
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ChatGPT (Generative Pre-Trained Transformer) is a large language model (LLM), which comprises a neural network that has learned information and patterns of language use from large amounts of text on the internet. ChatGPT, introduced by OpenAI, responds to human queries in a conversational manner. Here, we aimed to assess whether ChatGPT could reliably produce accurate references to supplement the literature search process.

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