bioRxivNeurosciencePreprint
Comparing neurocognitive mechanisms of mathematical ability and fluency in children: insights from an fNIRS study
Alethea Yen Ning Yeo, Fengjuan WangiD, Azilawati Bte JamaludiniD
Abstract
BackgroundEarly proficiency in mathematics is a strong predictor of later academic success and life achievement, considering the practical skills that mastering the subject enables students to equip. Yet, there exists a paucity of research into the neural mechanisms supporting mathematical abilities in young children. Recent research utilises resting state functional connectivity (RSFC), a measure of the coherence of brain activity among brain regions in the absence of tasks, to understand the functional roles of these regions. MethodsWe analysed the RSFC of 45 children to investigate the intrinsic cognitive processes underpinning arithmetic processing in three regions of interest (ROIs): middle frontal gyrus, inferior parietal lobule, and precuneus. Correlations between RSFC among these regions and mathematics or math fluency scores, derived from the Wechsler Individual Achievement Test (WIAT-III), were examined. ResultsRSFC between the right precuneus and both the ipsilateral middle frontal gyrus and inferior parietal region may be associated with arithmetic processing speed and accuracy, while cross-hemispheric RSFC between the right precuneus and the left inferior parietal lobule appears to be associated with problem-solving and numeracy skills. RSFC between the right precuneus and left inferior parietal lobule differed in children performing below the 10th percentile in mathematics (out of 45 participants). ConclusionsThe results suggest that children of the same age may follow different neural development trajectories. More targeted and differentiated interventions are essential to offer additional and early support for students struggling with mathematics.
- organism: human
- assay: imaging
- research focus: cell type annotation
- research focus: clustering
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Counting apples - How does the prefrontal region support early numerical understanding in preschool children?
Elizaveta Ivanova, Emily Kate Farran, Mojtaba Soltanlou·bioRxiv·Feb 16, 2026
- Brain mechanisms of mathematical development: A longitudinal fMRI study from preschool to second grade
Théo Morfoisse, Séverine Becuwe, … Stanislas Dehaene·bioRxiv·Jan 21, 2026
- Neural Representation Precision of Distance Predicts Arithmetic Performance
Hui Zhao, Qi Jie Wang, … Shaozheng Qin·bioRxiv·Aug 1, 2024
- A Paradigm for Measuring Resting State Functional Connectivity in Young Children Using fNIRS and Freeplay
Jaeah Kim, Alexander Ruesch, … Anna V. Fisher·bioRxiv·Jan 13, 2020
- The semantic control network mediates the relationship between symbolic numerical order processing and arithmetic performance in children
Gerrit Sommerauer, Karl-Heinz Graß, … Stephan E. Vogel·NeuropsychologiaPeer-reviewed·Feb 19, 2020
- Dysfunctional and compensatory brain networks underlying math fluency
Michelle La, Debjani Saha, … Hao Yang Tan·bioRxiv·Sep 2, 2019