Learning is a key mechanism underpinning the development of the nocebo effect. The learning literature has cataloged and explored numerous ways in which the environment can be manipulated to prevent, reduce, or eradicate learning. Knowledge of these processes could be used to both inhibit the development of nocebo effects and reduce already established nocebo learning. This review describes the available evidence on how such learning strategies have, or could be, applied to reduce the nocebo effect in both healthy participants and patients to date. These learning strategies include overshadowing, latent inhibition, extinction, and contingency degradation. These strategies represent important new avenues for investigation and should be used by researchers to design and test interventions to reduce nocebo effects.
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http://dx.doi.org/10.1016/bs.irn.2018.01.011 | DOI Listing |
Discov Oncol
January 2025
Department of Medical Imaging, Shenzhen Longhua District Key Laboratory of Neuroimaging, Shenzhen Longhua District Central Hospital, Shenzhen, 518110, China.
Background: Glioblastoma multiforme (GBM) is a highly aggressive brain cancer with poor prognosis and limited treatment options. Despite advances in understanding its molecular mechanisms, effective therapeutic strategies remain elusive due to the tumor's genetic complexity and heterogeneity.
Methods: This study employed a comprehensive analysis approach integrating 113 machine learning algorithms with Mendelian Randomization (MR) analysis to investigate the molecular underpinnings of GBM.
J Exp Psychol Learn Mem Cogn
December 2024
Basque Center on Cognition, Brain and Language.
The present study uses event-related potentials (ERPs) to investigate lexicosemantic prediction in native speakers (L1) of English and advanced second language (L2) learners of English with Swedish as their L1. The main goal of the study was to examine whether learners recruit predictive mechanisms to the same extent as L1 speakers when a change in the linguistic environment renders prediction a useful strategy to pursue. The study, which uses a relatedness proportion paradigm adapted from Lau et al.
View Article and Find Full Text PDFPsychotherapy (Chic)
January 2025
Psychology Research Center, Psychotherapy and Psychopathology Research Unit, School of Psychology, University of Minho.
Exposure and response prevention (ERP) is an effective treatment for obsessive-compulsive disorder. However, ERP's distressful nature may be too demanding for some patients, resulting in low engagement with treatment or even dropout. The current review aimed to summarize and categorize the components of ERP plus add-on protocols.
View Article and Find Full Text PDFEur Heart J
January 2025
Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT 06510, USA.
Background And Aims: Current heart failure (HF) risk stratification strategies require comprehensive clinical evaluation. In this study, artificial intelligence (AI) applied to electrocardiogram (ECG) images was examined as a strategy to predict HF risk.
Methods: Across multinational cohorts in the Yale New Haven Health System (YNHHS), UK Biobank (UKB), and Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), individuals without baseline HF were followed for the first HF hospitalization.
J Health Organ Manag
January 2025
Department of Quality, Safety and Clinical Adoption, University Health Network, Toronto, Canada.
Purpose: Despite robust quality improvement efforts in healthcare, learning from patient safety incidents remains difficult. Our study explores counter-vailing powers shaping learning processes and possibilities in healthcare organizations, with a focus on social, political and organizational dynamics of learning.
Design/methodology/approach: Deploying concepts of situated curriculum, boundary work and interconnected knowledge practices, we interviewed staff and physicians ( = 15) in a large Academic Health Science Centre in Canada about their experiences of incident investigations and resultant information sharing.
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