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Psychosis is characterized by salient conflicts between reality and one's experience of it. Many people in the general population experience similar conflicts, albeit to a lesser extent-including during déjà vu, in which one is struck by the feeling that they have lived through the present moment before, despite not being able to pinpoint why or knowing that this cannot be true. The cognitive processes underlying these conflicts between reality and experience in psychosis and the general population remain poorly understood. Identifying shared cognitive correlates of psychosis-like symptoms and déjà vu is a compelling starting place for better understanding how such conflicts arise. Here, we hypothesized that psychosis-like symptoms and déjà vu might be related to breakdowns in memory for when events happened. Across two preregistered experiments (N = 500), we found that members of the general population endorsing higher levels of psychoticism (i.e., paranoia, positive, and disorganized symptoms) judged correctly recognized stimuli to have occurred more recently in time relative to ground truth. A similar illusion of recency was apparent for falsely recognized stimuli. These same participants were less sensitive to actual stimulus recency when making recognition memory judgments, exhibiting reduced differentiation between recently presented and novel stimuli. Similar patterns were found in association with déjà vu, but not negative (i.e., mood-related) symptoms, suggesting specificity to uncanny subjective experiences. These findings suggest that a "hyper-recency" bias in memory-wherein remotely encountered events are perceived as having happened recently-might represent one salient source of conflict between experience and reality. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
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http://dx.doi.org/10.1037/xge0001754 | DOI Listing |
J Med Internet Res
September 2025
School of Nursing, University of Minho, Braga, Portugal.
Background: The spread of misinformation on social media poses significant risks to public health and individual decision-making. Despite growing recognition of these threats, instruments that assess resilience to misinformation on social media, particularly among families who are central to making decisions on behalf of children, remain scarce.
Objective: This study aimed to develop and evaluate the psychometric properties of a novel instrument that measures resilience to misinformation in the context of social media among parents of school-age children.
JAMA Netw Open
September 2025
Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla.
Importance: Janus kinase (JAK) inhibitors are highly effective medications for several immune-mediated inflammatory diseases (IMIDs). However, safety concerns have led to regulatory restrictions.
Objective: To compare the risk of adverse events with JAK inhibitors vs tumor necrosis factor (TNF) antagonists in patients with IMIDs in head-to-head comparative effectiveness studies.
Cereb Cortex
August 2025
The Clinical Hospital of Chengdu Brain Sciences Institute, University of Electronic Sciences and Technology of China (UESTC), 2006 Xiyuan Avenue, West Hi Tech Zone, 611731, Chengdu, China.
This commentary reflects three decades of interaction between the Cuban neuroinformatics tradition and the statistical parametric mapping (SPM) framework. From the early development of neurometrics in Cuba to global initiatives like the Global Brain Consortium, our trajectory has paralleled and intersected with that of SPM. We highlight shared commitments to generative modeling, Bayesian inference, and population-level brain mapping, as shaped through collaborations, workshops, and joint theoretical work with Karl Friston and his group.
View Article and Find Full Text PDFInt J Surg
September 2025
Department of Gynecology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Background: Ovarian cancer remains the most lethal gynecological cancer, with fewer than 50% of patients surviving more than five years after diagnosis. This study aimed to analyze the global epidemiological trends of ovarian cancer from 1990 to 2021 and also project its prevalence to 2050, providing insights into these evolving patterns and helping health policymakers use healthcare resources more effectively.
Methods: This study comprehensively analyzes the original data related to ovarian cancer from the GBD 2021 database, employing a variety of methods including descriptive analysis, correlation analysis, age-period-cohort (APC) analysis, decomposition analysis, predictive analysis, frontier analysis, and health inequality analysis.