Introduction: The aim of the present study was to probe electrophysiological effects of non-symbolic numerical processing in 20 children with mathematical learning disabilities (mean age = 99.2 months) compared to a group of 20 typically developing matched controls (mean age = 98.4 months).
Methods: EEG data were obtained while children were tested with a standard non-symbolic numerical comparison paradigm that allowed us to investigate the effects of numerical distance manipulations for different set sizes, i.e., the classical subitizing, counting and estimation ranges. Effects of numerical distance manipulations on event-related potential (ERP) amplitudes as well as activation patterns of underlying current sources were analyzed.
Results: In typically developing children, the amplitudes of a late parietal positive-going ERP component showed systematic numerical distance effects that did not depend on set size. For the group of children with mathematical learning disabilities, ERP distance effects were found only for stimuli within the subitizing range. Current source density analysis of distance-related group effects suggested that areas in right inferior parietal regions are involved in the generation of the parietal ERP amplitude differences.
Conclusion: Our results suggest that right inferior parietal regions are recruited differentially by controls compared to children with mathematical learning disabilities in response to non-symbolic numerical magnitude processing tasks, but only for stimuli with set sizes that exceed the subitizing range.
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http://dx.doi.org/10.1016/j.cortex.2012.11.009 | DOI Listing |
BMC Med Res Methodol
January 2025
Division of Public Health Sciences, Washington University in St Louis, 660 S. Euclid Ave, St Louis, MO, 63110, USA.
Background: Propensity Score Matching (PSM) stands as a widely embraced method in comparative effectiveness research. PSM crafts matched datasets, mimicking some attributes of randomized designs, from observational data. In a valid PSM design where all baseline confounders are measured and matched, the confounders would be balanced, allowing the treatment status to be considered as if it were randomly assigned.
View Article and Find Full Text PDFJ Strength Cond Res
February 2025
MilanLab Research Department, A.C. Milan S.p.A., Milan, Italy.
Riboli, A, Nardi, F, Osti, M, Cefis, M, Tesoro, G, and Mazzoni, S. Training load, official match locomotor demand, and their association in top-class soccer players during a full competitive season. J Strength Cond Res 39(2): 249-259, 2025-To examine training load and official match locomotor demands of top-class soccer players during a full competitive season and to evaluate their association.
View Article and Find Full Text PDFAsian Pac J Cancer Prev
January 2025
National School of Public Health, Rabat, Morocco.
Objective: This study aimed to investigate loss to follow-up (LFU) rates within breast and cervical cancer screening programs in Kenitra-Morocco, identifying contributing factors from both patient and healthcare worker perspectives to enhance care continuity.
Methods: The study was a non-experimental, mixed-methods design conducted in three-phases. We started by identifying LFU women and their characteristics from medical records, interviewing LFU women to ascertain reasons for discontinuation, and surveying healthcare workers for perceived determinants of LFU through semi-structured questionnaires.
Genetics
January 2025
Institute of Forest Sciences (ICIFOR-INIA), CSIC, Ctra. De la Coruña km 7.5, 28040 Madrid, Spain.
We present a new hierarchical Bayesian method using multilocus genotypes to estimate recent seed and pollen migration rates in a spatially explicit framework that incorporates distance effects separately for each type of dispersal. The method additionally estimates population allelic frequencies, population divergence values, individual inbreeding coefficients, individual maternal and paternal ancestries, and allelic dropout rates. We conduct a numerical simulation analysis that indicates that the method can provide reliable estimates of seed and pollen migration rates and allow accurate inference of spatial effects on migration, at affordable sample sizes (25-50 individuals/population) when population genetic divergence is not low (FST≥0.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Sydani Initiative for International Development, FCT, Abuja, Nigeria.
Background: Evidence from literature has established that tracing lost to follow-up clients is an effective strategy for complementing other mechanisms for infectious disease control like human immunodeficiency virus (HIV), tuberculosis, and other diseases such as Ebola. As a long-standing successful public health method of optimizing acceptance and/or adherence to infectious disease treatment tracing lost to follow-up clients is usually carried out by manually investigating individuals who absconded or are absent from treatments designed to manage and/or promote their health status. This study seeks to explore the role of mobile teams in tracing clients lost to follow-up for immunization.
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