Neurocognitive Foundations of Abstract Reasoning in Middle Childhood

Authors

  • Juvinália Antónia de Fátima Ribeiro Instituto Católico para a Formaçao de Professores (ICFP) Baucau
  • Devinalia da Silva Instituto Católico para a Formaçao de Professores (ICFP) Baucau
  • Salvador Magno Ximenes Instituto Católico para a Formaçao de Professores (ICFP) Baucau
  • Mochamad Nursalim State University of Surabaya
  • Diana Rahmasari State University of Surabaya
  • Annas Solihin State University of Surabaya

DOI:

https://doi.org/10.26740/jrpd.v12n3.p347-366

Keywords:

Educational Neuroscience, Executive Function, Abstract Reasoning, Error Monitoring, Cognitive Chronobiology

Abstract

Limited research has jointly examined how error monitoring, multidimensional inhibition, white matter pathways, and daily biological rhythms relate to abstract reasoning during middle childhood, the period in which children aged 7 to 12 years move from concrete to abstract thinking. This systematic review followed PRISMA 2020, searched Scopus, Web of Science, and PubMed between January and March 2026 for neuroscience and cognitive studies published from 2020 to 2026, identified 485 records, and appraised 23 included studies with the Joanna Briggs Institute checklists. Narrative synthesis produced six coded themes showing that children in a task-switching study made more consecutive errors and showed smaller post-error slowing than adults while recruiting the dorsal anterior cingulate cortex and anterior insula, that white matter microstructure was related to age and arithmetic performance, that response inhibition was related to visuospatial working memory in young adults, that far transfer from executive function training was limited, that cognitively engaging physical activity and guided play showed small to moderate benefits, and that sleep and class timing were related to cognitive performance. These findings indicate that abstract reasoning in middle childhood is supported by interacting neural and biological conditions, and the proposed neuropedagogical framework should be treated as a set of hypotheses that require classroom-based experimental testing.

References

Akin, G., Schwarze, S. A., Lindenberger, U., Bunge, S. A., & Fandakova, Y. (2026). Individual differences in error-related brain activity and post-error slowing in children. Human Brain Mapping, 47(9), Article e70581. https://doi.org/10.1002/hbm.70581

Ayyıldız, N., Beyer, F., Üstün, S., Kale, E. H., Mançe Çalışır, Ö., Uran, P., Öner, Ö., Olkun, S., Anwander, A., Witte, A. V., Villringer, A., & Çiçek, M. (2023). Changes in the superior longitudinal fasciculus and anterior thalamic radiation in the left brain are associated with developmental dyscalculia. Frontiers in Human Neuroscience, 17, Article 1147352. https://doi.org/10.3389/fnhum.2023.1147352

Barker, T. H., Stone, J. C., Sears, K., Klugar, M., Leonardi-Bee, J., Tufanaru, C., Aromataris, E., & Munn, Z. (2023). Revising the JBI quantitative critical appraisal tools to improve their applicability: An overview of methods and the development process. JBI Evidence Synthesis, 21(3), 478-493. https://doi.org/10.11124/JBIES-22-00125

Biller, A. M., Meissner, K., Winnebeck, E. C., & Zerbini, G. (2022). School start times and academic achievement: A systematic review on grades and test scores. Sleep Medicine Reviews, 61, Article 101582. https://doi.org/10.1016/j.smrv.2021.101582

Botvinick, M. M., Cohen, J. D., & Carter, C. S. (2004). Conflict monitoring and anterior cingulate cortex: An update. Trends in Cognitive Sciences, 8(12), 539-546. https://doi.org/10.1016/j.tics.2004.10.003

Buianova, I., Istomina, A., Manzhurtsev, A., Ublinskiy, M., Karpychev, V., & Arsalidou, M. (2025). Math skills and microstructure of the middle longitudinal fasciculus: A developmental investigation. PLOS ONE, 20(6), Article e0324802. https://doi.org/10.1371/journal.pone.0324802

Clark, A. (2013). Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences, 36(3), 181-204. https://doi.org/10.1017/S0140525X12000477

Diamond, A. (2013). Executive functions. Annual Review of Psychology, 64, 135-168. https://doi.org/10.1146/annurev-psych-113011-143750

Dubravac, M., Roebers, C. M., & Meier, B. (2022). Age-related qualitative differences in post-error cognitive control adjustments. British Journal of Developmental Psychology, 40(2), 287-305. https://doi.org/10.1111/bjdp.12403

Ger, E., & Roebers, C. M. (2023). Hearts, flowers, and fruits: All children need to reveal their post-error slowing. Journal of Experimental Child Psychology, 226, Article 105552. https://doi.org/10.1016/j.jecp.2022.105552

Gobet, F., & Sala, G. (2023). Cognitive training: A field in search of a phenomenon. Perspectives on Psychological Science, 18(1), 125-141. https://doi.org/10.1177/17456916221091830

Haddaway, N. R., Page, M. J., Pritchard, C. C., & McGuinness, L. A. (2022). PRISMA2020: An R package and Shiny app for producing PRISMA 2020-compliant flow diagrams, with interactivity for optimised digital transparency and Open Synthesis. Campbell Systematic Reviews, 18(2), Article e1230. https://doi.org/10.1002/cl2.1230

Houdé, O., & Borst, G. (2015). Evidence for an inhibitory-control theory of the reasoning brain. Frontiers in Human Neuroscience, 9, Article 148. https://doi.org/10.3389/fnhum.2015.00148

Jankowski, K. S., Díaz-Morales, J. F., & Vollmer, C. (2023). Chronotype, time of day, and performance on intelligence tests in the school setting. Journal of Intelligence, 11(1), Article 13. https://doi.org/10.3390/jintelligence11010013

López-Ramón, M. F., Richard’s, M. M., Musso, M. F., et al. (2026). Executive functions interplay: A multidimensional model including different inhibitory processes. Trends in Psychology. https://doi.org/10.1007/s43076-025-00511-6

Luna, B., Marek, S., Larsen, B., Tervo-Clemmens, B., & Chahal, R. (2015). An integrative model of the maturation of cognitive control. Annual Review of Neuroscience, 38, 151-170. https://doi.org/10.1146/annurev-neuro-071714-034054

Mao, F., Huang, F., Zhao, S., & Fang, Q. (2024). Effects of cognitively engaging physical activity interventions on executive function in children and adolescents: A systematic review and meta-analysis. Frontiers in Psychology, 15, Article 1454447. https://doi.org/10.3389/fpsyg.2024.1454447

Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: A latent variable analysis. Cognitive Psychology, 41(1), 49-100. https://doi.org/10.1006/cogp.1999.0734

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., . . . Moher, D. (2021a). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, Article n71. https://doi.org/10.1136/bmj.n71

Page, M. J., Moher, D., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., . . . McKenzie, J. E. (2021b). PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews. BMJ, 372, Article n160. https://doi.org/10.1136/bmj.n160

Pietto, M. L., Giovannetti, F., Segretin, M. S., Lipina, S. J., & Kamienkowski, J. E. (2023). EEG dynamics of error processing and associated behavioral adjustments in preschool children. Brain Sciences, 13(4), Article 575. https://doi.org/10.3390/brainsci13040575

Skene, K., O’Farrelly, C. M., Byrne, E. M., Kirby, N., Stevens, E. C., & Ramchandani, P. G. (2022). Can guidance during play enhance children’s learning and development in educational contexts? A systematic review and meta-analysis. Child Development, 93(4), 1162-1180. https://doi.org/10.1111/cdev.13730

Song, W., Feng, L., Wang, J., Ma, F., Chen, J., Qu, S., & Luo, D. (2022). Play smart, be smart? Effect of cognitively engaging physical activity interventions on executive function among children 4 to 12 years old: A systematic review and meta-analysis. Brain Sciences, 12(6), Article 762. https://doi.org/10.3390/brainsci12060762

Spiegel, J. A., Goodrich, J. M., Morris, B. M., Osborne, C. M., & Lonigan, C. J. (2021). Relations between executive functions and academic outcomes in elementary school children: A meta-analysis. Psychological Bulletin, 147(4), 329-351. https://doi.org/10.1037/bul0000322

Torrijos-Muelas, M., González-Víllora, S., & Bodoque-Osma, A. R. (2021). The persistence of neuromyths in the educational settings: A systematic review. Frontiers in Psychology, 11, Article 591923. https://doi.org/10.3389/fpsyg.2020.591923

Ullsperger, M., Danielmeier, C., & Jocham, G. (2014). Neurophysiology of performance monitoring and adaptive behavior. Physiological Reviews, 94(1), 35-79. https://doi.org/10.1152/physrev.00041.2012

Vasilopoulos, F., Jeffrey, H., Wu, Y., & Dumontheil, I. (2023). Multi-level meta-analysis of physical activity interventions during childhood: Effects of physical activity on cognition and academic achievement. Educational Psychology Review, 35, Article 59. https://doi.org/10.1007/s10648-023-09760-2

Wei, Y., Wang, L., Tang, Y., Deng, H., Su, J., & Li, Q. (2024). Enhancing young children’s executive function through physical activities: A three-level meta-analysis. Mental Health and Physical Activity, 26, Article 100592. https://doi.org/10.1016/j.mhpa.2024.100592

Weisberg, D. S., Hirsh-Pasek, K., & Golinkoff, R. M. (2013). Guided play: Where curricular goals meet a playful pedagogy. Mind, Brain, and Education, 7(2), 104-112. https://doi.org/10.1111/mbe.12015

Yang, F. N., Xie, W., & Wang, Z. (2022). Effects of sleep duration on neurocognitive development in early adolescents in the USA: A propensity score matched, longitudinal, observational study. The Lancet Child & Adolescent Health, 6(10), 705-712. https://doi.org/10.1016/S2352-4642(22)00188-2

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Published

2026-10-30

How to Cite

Ribeiro , J. A. de F., da Silva, D., Ximenes, S. M., Nursalim, M., Rahmasari, D., & Solihin, A. (2026). Neurocognitive Foundations of Abstract Reasoning in Middle Childhood. Jurnal Review Pendidikan Dasar : Jurnal Kajian Pendidikan Dan Hasil Penelitian, 12(3), 347–366. https://doi.org/10.26740/jrpd.v12n3.p347-366
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