Words that are more predictable given a previous context show facilitated processing over low predictable ones. Such facilitation has been traditionally viewed as associated with reduced amplitudes in the N400 component. However, this effect is observed during the presentation of the target word, and it does not provide direct information about the prediction processes engaged before. To overcome this, we investigated neural correlates of anticipation prior to target words using an auditory paradigm. The semantic context of the sentences varied in the degree of contextual constraint, with sentences of high, low or no constraint. The final word presented could be either congruent -the best completion- or incongruent. We inserted a noticeable 1000ms delay before the final word of a sentence. The ERP analysis of the delay period unveiled a slow potential, with an amplitude that was more negative as contextual constraint increased. We also observed a canonical N400 modulation to semantic fit and cloze probability, and we report, for the first time to our knowledge, a delay in the onset of the N400 effect for low levels of contextual constraint. This study provides novel electrophysiological data that contributes to the better comprehension of the processes involved in speech processing with evidence in favour of anticipatory models of language processing.
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http://dx.doi.org/10.1016/j.neuropsychologia.2017.02.026 | DOI Listing |
JMIR Med Educ
January 2025
Digital Society Initiative, University of Zurich, Zurich, Switzerland.
Background: The increased use of digital data in health research demands interdisciplinary collaborations to address its methodological complexities and challenges. This often entails merging the linear deductive approach of health research with the explorative iterative approach of data science. However, there is a lack of structured teaching courses and guidance on how to effectively and constructively bridge different disciplines and research approaches.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
College of Education, United Arab Emirates University, Al Ain, Abu Dhabi, UAE.
Background: Community-based para-professionals are trained or untrained professionals who assist in the delivery of health-related care in communities where they live. The role of community-based para-professionals in supporting early childhood development (ECD) supports has attracted increased attention recently, particularly in the context of severe constraints in the global health workforce. However, these practitioners face challenges associated with low status and poor working conditions.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Information Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China.
As education increasingly relies on data-driven methodologies, accurately predicting student performance is essential for implementing timely and effective interventions. The California Student Performance Dataset offers a distinctive basis for analyzing complex elements that affect educational results, such as student demographics, academic behaviours, and emotional health. This study presents the GNN-Transformer-InceptionNet (GNN-TINet) model to overcome the constraints of prior models that fail to effectively capture intricate interactions in multi-label contexts, where students may display numerous performance categories concurrently.
View Article and Find Full Text PDFFront Psychol
January 2025
Université de Caen Normandie, EA4260 CESAMS, Caen, France.
Introduction: In fast ball sports, such as tennis, when spatiotemporal constraints are high, players have to anticipate the opponent action. Not much is known about how players acquire and improve this ability. The aim of this study was to use an implicit training protocol (no information was given to participants) based on the knowledge of one particular opponent to analyse how experts could improve their anticipation ability.
View Article and Find Full Text PDFBehav Brain Res
January 2025
Department of Psychological and Brain Sciences, Indiana University, USA. Electronic address:
Exposure to extreme stress can negatively impact behavior and lead to prolonged fear sensitization. These processes can be studied in the lab using stress-enhanced fear learning (SEFL), where prior exposure to inescapable stress exacerbates later contextual fear conditioning. A common method to reduce conditional fear is through extinction, where a conditional stimulus once paired with an unconditional (US; e.
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