Multiple lexical representations overlapping with the input (cohort neighbors) are temporarily activated in the listener's mental lexicon when speech unfolds in time. Activation for cohort neighbors appears to rapidly decline as soon as there is mismatch with the input. However, it is a matter of debate whether or not they are completely excluded from further processing. We recorded behavioral data and event-related brain potentials (ERPs) in auditory-visual word onset priming during a lexical decision task. As primes we used the first two syllables of spoken German words. In a carrier word condition, the primes were extracted from spoken versions of the target words (ano-ANORAK "anorak"). In a cohort neighbor condition, the primes were taken from words that overlap with the target word up to the second nucleus (ana-taken from ANANAS "pineapple"). Relative to a control condition, where primes and targets were unrelated, lexical decision responses for cohort neighbors were delayed. This reveals that cohort neighbors are disfavored by the decision processes at the behavioral front end. In contrast, left-anterior ERPs reflected long-lasting facilitated processing of cohort neighbors. We interpret these results as evidence for extended parallel processing of cohort neighbors. That is, in parallel to the preparation and elicitation of delayed lexical decision responses to cohort neighbors, aspects of the processing system appear to keep track of those less efficient word candidates.
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http://dx.doi.org/10.3389/fpsyg.2013.00556 | DOI Listing |
Clin Pract
December 2024
Department of Gynecology and Obstetrics, University Hospital, Philipps-University Marburg, Baldingerstraße, 35043 Marburg, Germany.
Purpose: The purpose of this study was to investigate a possible association between Herpes Zoster (HZ) and the subsequent diagnosis of breast cancer (BC).
Methods: Utilizing the Disease Analyzer database, anonymized medical records from German office-based practices were accessed. Longitudinal data of female patients aged 18 years and above diagnosed with HZ between 2005 and 2021 were included.
Front Public Health
December 2024
Department of Anesthesiology, Chengdu Fifth People's Hospital (The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China.
Background: Postoperative pneumonia, a prevalent form of hospital-acquired pneumonia, poses significant risks to patients' prognosis and even their lives. This study aimed to develop and validate a predictive model for postoperative pneumonia in surgical patients using nine machine learning methods.
Objective: Our study aims to develop and validate a predictive model for POP in surgical patients using nine machine learning algorithms.
Introduction: Low back pain (LBP) is a significant global health burden, with variable treatment outcomes and an unclear underlying molecular mechanism. Effective prediction of treatment responses remains a challenge. In this study, we aimed to develop gene signature-based machine learning models using transcriptomic data from peripheral immune cells to predict treatment outcomes in patients with LBP.
View Article and Find Full Text PDFJ Am Acad Orthop Surg Glob Res Rev
December 2024
From the Connecticut Orthopaedics, Fairfield, CT (Dr. Bernstein); the Epidemiology and Real-World Data Sciences, Johnson & Johnson MedTech, New Brunswick, NJ (Dr. Gupta and Ruppenkamp); the Global Health Economics and Market Access, Johnson & Johnson MedTech, Raynham, MA (Dr. Kabiri and Goldstein); and the Medical Affairs, Johnson & Johnson MedTech, Palm Beach Gardens, FL (Dr. Diaz).
Background: Computer-assisted fluoroscopic navigation and robotic technologies aim to optimize implant placement and alignment in primary total hip arthroplasty (THA) to improve patient outcomes. This study uses a retrospective hospital billing database covering 1,300 hospitals to compare the clinical and economic effect of these technologies.
Methods: The study compared patients undergoing THA with robotic versus computer-assisted fluoroscopic navigation technologies between January 1, 2016, and September 30, 2021, using the Premier Healthcare Database.
Expert Rev Respir Med
December 2024
Department of Practice, Sciences, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD, USA.
Background: Two long-acting muscarinic antagonist inhaler fixed dose combinations (olodaterol/tiotropium (OLO/TIO) and vilanterol/umeclidinium (VI/UMEC)) have once-a-day dosing for managing chronic obstructive pulmonary disease (COPD). This study aimed to compare clinical effectiveness of these inhalers in terms of ability to prevent severe COPD exacerbations in a United States Medicare population.
Research Design And Methods: Using nationally representative Medicare data (2013-2019), we employed a new user, active comparator design among beneficiaries aged 65 years and older with COPD.
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