Background: Although there is a large body of literature highlighting the behavioral effects of parenting interventions, studies on the neurocognitive mechanisms involved in such intervention effects remain scarce.
Purpose: The aim of the current study was to test whether changes in neural face processing (as reflected in N170 amplitudes) would act as a mediator in the association between the Video-feedback Intervention to promote Positive Parenting and Sensitive Discipline (VIPP-SD) and maternal sensitivity.
Methods: A total of 66 mothers of whom a random 33% received the VIPP-SD and the others a "dummy" intervention participated in pre- and postintervention assessments. We recorded mothers' electroencephalographic (EEG) activity in response to photographs of children's neutral, happy, and angry facial expressions. Maternal sensitivity was observed while mothers interacted with their offspring in a semi-structured play situation.
Results: In contrast with our expectations, we did not find evidence for mediation of intervention effects on maternal sensitivity by the N170.
Conclusion: We discuss that parenting support programs may yield different effects on neurocognitive processes depending on the population and provide recommendations for future research. Our study underscores the importance of reporting null findings and preregistering studies in the field of neurocognitive research.
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http://dx.doi.org/10.1002/brb3.1972 | DOI Listing |
Bioinformatics
January 2025
School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China.
Motivation: Ensuring connectivity and preventing fractures in tubular object segmentation are critical for downstream analyses. Despite advancements in deep neural networks (DNNs) that have significantly improved tubular object segmentation, existing methods still face limitations. They often rely heavily on precise annotations, hindering their scalability to large-scale unlabeled image datasets.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Department of Industrial Engineering, Dalhousie University, PO Box 15000, Halifax, B3H 4R2, NS, Canada.
Background: The growing demand for healthcare services challenges patient flow management in health systems. Alternative Level of Care (ALC) patients who no longer need acute care yet face discharge barriers contribute to prolonged stays and hospital overcrowding. Predicting these patients at admission allows for better resource planning, reducing bottlenecks, and improving flow.
View Article and Find Full Text PDFJ Am Med Dir Assoc
January 2025
Department of Neurology, Renaissance School of Medicine, Stony Brook, NY, United States.
Objectives: Early research reported that older adults who stopped walking when they began a conversation were more likely to fall in the future. As a systematic measure of dual-task performance, Verghese and colleagues developed the Walking While Talking (WWT) test, in which a person walks at a normal pace while reciting alternate letters of the alphabet. The present paper highlights key findings from the 2 decades of research using the WWT test.
View Article and Find Full Text PDFCortex
December 2024
Institute of Research in Psychology (IPSY) & Institute of Neuroscience (IoNS), Louvain Bionics Center, University of Louvain (UCLouvain), Louvain-la-Neuve, Belgium; School of Health Sciences, HES-SO Valais-Wallis, The Sense Innovation and Research Center, Lausanne & Sion, Switzerland. Electronic address:
Effective social communication depends on the integration of emotional expressions coming from the face and the voice. Although there are consistent reports on how seeing and hearing emotion expressions can be automatically integrated, direct signatures of multisensory integration in the human brain remain elusive. Here we implemented a multi-input electroencephalographic (EEG) frequency tagging paradigm to investigate neural populations integrating facial and vocal fearful expressions.
View Article and Find Full Text PDFEnviron Toxicol Chem
January 2025
School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, PR China.
In silico methods are increasingly important in predicting the ecotoxicity of engineered nanomaterials (ENMs), encompassing both individual and mixture toxicity predictions. It is widely recognized that ENMs trigger oxidative stress effects by generating intracellular reactive oxygen species (ROS), serving as a key mechanism in their cytotoxicity studies. However, existing in silico methods still face significant challenges in predicting the oxidative stress effects induced by ENMs.
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