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People often strive for deep engagement in activities, a state typically associated with feelings of flow - full task absorption accompanied by a sense of control and enjoyment. The intrinsic factors driving such engagement and facilitating subjective feelings of flow remain unclear. Building on computational theories of intrinsic motivation, this study examines how learning progress predicts engagement and directs cognitive control. Results showed that task engagement, indicated by feelings of flow and low distractibility, is a function of learning progress. Electroencephalography data further revealed that learning progress is associated with enhanced proactive preparation (e.g., reduced pre-stimulus contingent negativity variance and parietal alpha desynchronization) and improved feedback processing (e.g., increased P3b amplitude and parietal alpha desynchronization). The impact of learning progress on cognitive control is observed at the task-block and goal-episode levels, but not at the trial level. This suggests that learning progress shapes cognitive control over extended periods as progress accumulates. These findings highlight the critical role of learning progress in sustaining engagement and cognitive control in goal-directed behavior.
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http://dx.doi.org/10.1016/j.neuroimage.2025.121076 | DOI Listing |
Geroscience
September 2025
Department of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
This study aims to investigate the predictive value of combined phenotypic age and phenotypic age acceleration (PhenoAgeAccel) for benign prostatic hyperplasia (BPH) and develop a machine learning-based risk prediction model to inform precision prevention and clinical management strategies. The study analyzed data from 784 male participants in the US National Health and Nutrition Examination Survey (NHANES, 2001-2008). Phenotypic age was derived from chronological age and nine serum biomarkers.
View Article and Find Full Text PDFMethods
September 2025
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China. Electronic address:
Allosteric proteins play a central role in biological processes and systems. Identifying the biological impact of mutations on allosteric proteins and the phenotypes they influence during disease initiation and progression presents a significant challenge. In theory, computational methods have the potential to facilitate the interpretation of genetic variants in allosteric proteins on a large scale.
View Article and Find Full Text PDFImmunol Lett
September 2025
National Heart and Lung Institute, Imperial College London, UK; School of Public Health, Faculty of Medicine, Imperial College London, UK.
The emergence of big data and analytic approaches initiated research efforts to characterise different subtypes of allergic diseases, including tracking disease progression and identifying patterns that may offer insight into their development and progression. Triangulation from different data sources and study types may help to elucidate the directionality of relationships between variables at a very individual level by modelling the complex interdependencies between multiple dimensions (e.g.
View Article and Find Full Text PDFJ Infect Public Health
September 2025
Graduate School of Media and Governance, Keio University, 5322, Endo, Fujisawa, Kanagawa 252-0882, Japan. Electronic address:
Objective: To evaluate whether a machine learning (ML) based screening algorithm can optimize respiratory syncytial virus (RSV) testing while maintaining high diagnostic accuracy in pediatric patients.
Study Design: We conducted a retrospective analysis of pediatric patients under 2 years old who presented with respiratory infection symptoms and received RSV testing at Yokohama Municipal Citizen's Hospital (2009-2015). The cohort was divided into training (2009-2013; n = 3587) and validation (2014-2015; n = 587) sets.
Neuro Endocrinol Lett
September 2025
Department of Psychiatry, University Hospital Olomouc, Faculty of Medicine, Palacky University in Olomouc, Czech Republic.
Introduction: Transgerational transmitted trauma is the transmission of psychological injuries between generations. This article uses two case vignettes to explore selected schema therapy approaches that help clients process transgenerationally transmitted trauma from their ancestors. Specific methods of imagery rescripting and chair work enable clients to transform maladaptive patterns of experiencing into healthier coping strategies, support better stress management, improve emotional regulation and communication in relationships, and encourage more profound relationships with themselves and others.
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