The ability to process multi-digit numbers is an essential skill which we investigated using a number decision task. Subjects were asked to decide whether a target number (e.g., 649) is too small or too large to be the mean between two delimiter numbers that constituted the interval (e.g., 567 and 715). Three-digit numbers were presented vertically with (1) growing interval sizes (i.e., distance between the two delimiters; e.g., interval size between 567 and 715 is 148) and target gap to the mean (e.g., the gap between the 'real' mean 641 and the target 649 is 8) and (2) growing interval sizes with constant gap to the mean (i.e., for each interval size the gap between target and mean was held constant). The results showed that target gap to the mean "masked" the influence of interval sizes, i.e., subjects' performance improved with increasing interval sizes (distance effect). This effect was reversed when constant target gaps to the mean and growing interval sizes were presented. These results were replicated presenting the numbers horizontally and with two-digit numbers. Additionally, a significant influence of decade but no effect of unit compatibility on reaction times and error rates, on number magnitude (size effect) and response format was found. Overall, we showed that the number decision task is an efficient tool to investigate multidigit number representation and the results from the experiments revealed evidence for a hybrid model of multi-digit number representation in which numbers are represented as a whole but also on separate mental number lines that interact with each other.
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http://dx.doi.org/10.55782/ane-2013-1937 | DOI Listing |
Child Adolesc Ment Health
January 2025
School of Public Health, Southeast University, Nanjing, China.
Background: Animal-assisted interventions (AAIs) have emerged as a promising nonpharmacological intervention option for children diagnosed with attention-deficit/hyperactivity disorder (ADHD). However, recent systematic reviews have been primarily narrative. Additionally, the pooled effectiveness of AAIs was absent from these systematic reviews.
View Article and Find Full Text PDFJpn J Nurs Sci
January 2025
Graduate School of Nursing Science, St. Luke's International University, Tokyo, Japan.
Aim: We sought to assess the effectiveness of using a breast pump for nipple stimulation to promote breastfeeding in the early postpartum period after c-section in women with full-term infants.
Methods: Selection criteria were individual and cluster randomized control trials and quasi-randomized control trials that compared using a breast pump combined with standard care to promote breastfeeding in the early postpartum period after c-section with standard care. In this systematic review, guided by the Cochrane Handbook, we conducted comprehensive searches across databases such as Medline, Embase, CINAHL, Cochrane Library, and PsycINFO (Search: April 22, 2024).
PLoS One
January 2025
Washington University School of Medicine, NeuroGenomics and Informatics Center, St. Louis, MO, United States of America.
Case-only designs in longitudinal cohorts are a valuable resource for identifying disease-relevant genes, pathways, and novel targets influencing disease progression. This is particularly relevant in Alzheimer's disease (AD), where longitudinal cohorts measure disease "progression," defined by rate of cognitive decline. Few of the identified drug targets for AD have been clinically tractable, and phenotypic heterogeneity is an obstacle to both clinical research and basic science.
View Article and Find Full Text PDFBackground: Use of the supratentorial white matter (sWM) as a reference region for amyloid PET, alone or in a composite, can facilitate the detection of subtle changes in amyloid load (Wong et al., 2010; Landau et al., 2015).
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA, USA.
Background: Amyloid-β (Aβ) plaques and tau pathogenesis in the brain precede cognitive decline in the progression of Alzheimer's dementia, yet the extent to which these measures can predict localized brain tissue atrophy has not been studied in a large, diverse population. Multisite studies offer robust statistical power with larger sample sizes but are confounded by variations in biomarker quantification across studies, including variations in MRI scanners, PET tracers, and CSF assays. Longitudinal data from N=1223 individuals from four independent AD studies were harmonized to assess localized brain tissue atrophy over 2 to 5 years.
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