Understanding how children acquire mathematical abilities is fundamental to planning mathematical schooling. This study focuses on the relationships between mathematical cognition, cognition in general and neural foundation in 8 to 9-year-old children. We used additive mathematics tests, cognitive tests determining the tendency for proactive and reactive problem solving and functional near-infrared spectroscopy (fNIRS) for functional brain imaging. The ability to engage in proactive control had a stronger association with mathematical performance than other cognitive abilities, such as processing speed, sustained attention and pattern recognition. The fNIRS method identified differences between proactive and reactive control, i.e., the more proactive the children were, the greater the increase in oxygenated hemoglobin in the left lateral prefrontal cortex during reactive beneficiary situations. During a text-based task involving additive reasoning, increased activity in the dorsal medial prefrontal cortex was detected compared to a similar task with supportive spatial-geometric information.
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http://dx.doi.org/10.1016/j.tine.2022.100180 | DOI Listing |
Acta Psychol (Amst)
January 2025
School of Mathematical Sciences, Beijing Normal University, Beijing, China. Electronic address:
Prior studies highlight the importance of academic buoyancy and adaptability in educational trajectories, yet the influence of family-related factors remains less explored. Anchored in Bronfenbrenner's ecological systems theory, this research examines how family socioeconomic status (SES) influences academic buoyancy and adaptability, the predictive relation between family SES and parental involvement, and whether parental involvement mediates the impact of family SES on academic outcomes. We surveyed 1164 junior high school students from China.
View Article and Find Full Text PDFSensors (Basel)
January 2025
School of Computer Science, University of Birmingham, Birmingham B15 2TT, UK.
Objective and continuous monitoring of Parkinson's disease (PD) tremor in free-living conditions could benefit both individual patient care and clinical trials, by overcoming the snapshot nature of clinical assessments. To enable robust detection of tremor in the context of limited amounts of labeled training data, we propose to use prototypical networks, which can embed domain expertise about the heterogeneous tremor and non-tremor sub-classes. We evaluated our approach using data from the Parkinson@Home Validation study, including 8 PD patients with tremor, 16 PD patients without tremor, and 24 age-matched controls.
View Article and Find Full Text PDFJ Clin Med
January 2025
Department of Neurosurgery, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania.
The convergence of Artificial Intelligence (AI) and neuroscience is redefining our understanding of the brain, unlocking new possibilities in research, diagnosis, and therapy. This review explores how AI's cutting-edge algorithms-ranging from deep learning to neuromorphic computing-are revolutionizing neuroscience by enabling the analysis of complex neural datasets, from neuroimaging and electrophysiology to genomic profiling. These advancements are transforming the early detection of neurological disorders, enhancing brain-computer interfaces, and driving personalized medicine, paving the way for more precise and adaptive treatments.
View Article and Find Full Text PDFInt J Mol Sci
January 2025
Department of Women's and Children's Health, University of Padova, 35128 Padova, Italy.
Fragile X syndrome (FXS) is a genetic neurodevelopmental disorder that causes a range of developmental problems including cognitive and behavioral impairment and learning disabilities. FXS is caused by full mutations (FM) of the gene expansions to over 200 repeats, with hypermethylation of the cytosine-guanine-guanine (CGG) tandem repeated region in its promoter, resulting in transcriptional silencing and loss of gene function. Female carriers of FM are typically less impaired than males.
View Article and Find Full Text PDFMedicina (Kaunas)
January 2025
Faculty of Nursing, Lithuanian University of Health Sciences, LT-44307 Kaunas, Lithuania.
: The aging population has led to a rise in cognitive impairments, including dementia, often associated with multimorbidity. Early diagnosis of cognitive decline is crucial, especially in primary care, where time constraints and the limitations of diagnostic tools may hinder accurate detection. This study aims to assess the cognitive functions of multimorbid patients using the Mini-Mental State Examination (MMSE) and the Lithuanian version of the General Practitioner Assessment of Cognition (LT-GPCOG).
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