Background: The auditory N100 is an event related potential (ERP) that is reduced in schizophrenia, but its status in individuals at clinical high risk for psychosis (CHR) and its ability to predict conversion to psychosis remains unclear. We examined whether N100 amplitudes are reduced in CHR subjects relative to healthy controls (HC), and this reduction predicts conversion to psychosis in CHR.
Methods: Subjects included CHR individuals (n = 552) and demographically similar HC subjects (n = 236) from the North American Prodrome Longitudinal Study. Follow-up assessments identified CHR individuals who converted to psychosis (CHRC; n = 73) and those who did not (CHR-NC; n = 225) over 24 months. Electroencephalography data were collected during an auditory oddball task containing Standard, Novel, and Target stimuli. N100 peak amplitudes following each stimulus were measured at electrodes Cz and Fz.
Results: The CHR subjects had smaller N100 absolute amplitudes than HC subjects at Fz (F(1,786) = 4.00, p 0.046). A model comparing three groups (CHRC, CHR-NC, HC) was significant for Group at the Cz electrode (F(2,531) = 3.58, p = 0.029). Both Standard (p = 0.019) and Novel (p = 0.017) stimuli showed N100 absolute amplitude reductions in CHR-C relative to HC. A smaller N100 amplitude at Cz predicted conversion to psychosis in the CHR cohort (Standard: p = 0.009; Novel: p = 0.001) and predicted shorter time to conversion (Standard: p = 0.013; Novel: p = 0.001).
Conclusion: N100 amplitudes are reduced in CHR individuals which precedes the onset of psychosis. N100 deficits in CHR individuals predict a greater likelihood of conversion to psychosis. Our results highlight N100's utility as a biomarker of psychosis risk.
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http://dx.doi.org/10.1016/j.schres.2022.07.019 | DOI Listing |
Community Ment Health J
December 2024
Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
This study examined treatment utilization across in-person and virtual treatment modalities in veterans who were on medications for opioid use disorder (MOUD; N = 139). Treatment records for veterans in addiction treatment on MOUD were examined for 3-months prior to telehealth conversions ("Pre-Telehealth," 12/02/2019-03/14/2020), 3-months during the initial telehealth transition ("Telehealth," 03/15/2020-06/30/2020) and 3-months during post-telehealth transition ("Re-Entry," 07/01/2020-10/01/2020). Analyses examined the relationship between treatment modality and demographic features, psychiatric comorbidities, treatment engagement, and illness severity as measured by psychiatric emergency room (PER) utilization.
View Article and Find Full Text PDFBipolar Disord
December 2024
Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.
Objectives: Most bipolar disorder (BD) patients initially present with depressive symptoms, resulting in a delayed diagnosis of BD and poor clinical outcomes. This study aims to identify features predictive of the conversion from Major Depressive Disorder (MDD) to BD by leveraging electronic health record (EHR) data from the Clínica San Juan de Dios Manizales in Colombia.
Methods: We employed a multivariable Cox regression model to identify important predictors of conversion from MDD to BD.
medRxiv
November 2024
Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center.
Background: The insula is a heterogeneous cortical region with three cytoarchitectural subregions-agranular, dysgranular, and granular-that have distinct functional roles. Previous cross-sectional studies have shown smaller volume of all insula subregions in individuals with psychotic disorders. However, longitudinal trajectories of insula subregions in early psychosis, and the relationship between subregional volumes and relevant clinical phenomena, such as perceptual aberrations, have not been previously examined.
View Article and Find Full Text PDFClin Neurophysiol
January 2025
Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China. Electronic address:
Eur J Nucl Med Mol Imaging
November 2024
Institute of Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, UK.
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