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Article

Predicting Math Ability Using Working Memory, Number Sense, and Neurophysiology in Children and Adults

by
Nienke E. R. van Bueren
1,2,*,
Sanne H. G. van der Ven
1,
Karin Roelofs
1,3,
Roi Cohen Kadosh
2,4 and
Evelyn H. Kroesbergen
1,*
1
Behavioural Science Institute, Radboud University Nijmegen, 6525 GD Nijmegen, The Netherlands
2
Wellcome Centre for Integrative Neuroimaging, Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, UK
3
Donders Institute for Brain, Cognition and Behaviour, Centre for Neuroimaging, Radboud University Nijmegen, 6525 EN Nijmegen, The Netherlands
4
School of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH, UK
*
Authors to whom correspondence should be addressed.
Brain Sci. 2022, 12(5), 550; https://doi.org/10.3390/brainsci12050550
Submission received: 9 February 2022 / Revised: 21 April 2022 / Accepted: 22 April 2022 / Published: 26 April 2022

Abstract

Previous work has shown relations between domain-general processes, domain-specific processes, and mathematical ability. However, the underlying neurophysiological effects of mathematical ability are less clear. Recent evidence highlighted the potential role of beta oscillations in mathematical ability. Here we investigate whether domain-general (working memory) and domain-specific (number sense) processes mediate the relation between resting-state beta oscillations and mathematical ability, and how this may differ as a function of development (children vs. adults). We compared a traditional analysis method normally used in EEG studies with a more recently developed parameterization method that separates periodic from aperiodic activity. Regardless of methods chosen, we found no support for mediation of working memory and number sense, neither for children nor for adults. However, we found subtle differences between the methods. Additionally, we showed that the traditional EEG analysis method conflates periodic activity with aperiodic activity; in addition, the latter is strongly related to mathematical ability and this relation differs between children and adults. At the cognitive level, our findings do not support previous suggestions of a mediation of working memory and number sense. At the neurophysiological level our findings suggest that aperiodic, rather than periodic, activity is linked to mathematical ability as a function of development.
Keywords: mathematics; EEG; cognition; number sense; working memory; developmental neuroscience mathematics; EEG; cognition; number sense; working memory; developmental neuroscience

Share and Cite

MDPI and ACS Style

van Bueren, N.E.R.; van der Ven, S.H.G.; Roelofs, K.; Cohen Kadosh, R.; Kroesbergen, E.H. Predicting Math Ability Using Working Memory, Number Sense, and Neurophysiology in Children and Adults. Brain Sci. 2022, 12, 550. https://doi.org/10.3390/brainsci12050550

AMA Style

van Bueren NER, van der Ven SHG, Roelofs K, Cohen Kadosh R, Kroesbergen EH. Predicting Math Ability Using Working Memory, Number Sense, and Neurophysiology in Children and Adults. Brain Sciences. 2022; 12(5):550. https://doi.org/10.3390/brainsci12050550

Chicago/Turabian Style

van Bueren, Nienke E. R., Sanne H. G. van der Ven, Karin Roelofs, Roi Cohen Kadosh, and Evelyn H. Kroesbergen. 2022. "Predicting Math Ability Using Working Memory, Number Sense, and Neurophysiology in Children and Adults" Brain Sciences 12, no. 5: 550. https://doi.org/10.3390/brainsci12050550

APA Style

van Bueren, N. E. R., van der Ven, S. H. G., Roelofs, K., Cohen Kadosh, R., & Kroesbergen, E. H. (2022). Predicting Math Ability Using Working Memory, Number Sense, and Neurophysiology in Children and Adults. Brain Sciences, 12(5), 550. https://doi.org/10.3390/brainsci12050550

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