Adults with Better Math Skills Rely Less on the Brain’s Physical Movement Areas

Adults with Better Math Skills Rely Less on the Brain’s Physical Movement Areas

PsyPost
PsyPostMay 20, 2026

Why It Matters

The results reveal that advanced math skill is marked by brain efficiency, offering a neurobiological target for education and expertise development.

Key Takeaways

  • Adults with higher math scores show less sensorimotor cortex activation
  • Reduced insular activity signals lower perceived cognitive effort in skilled adults
  • Children rely on intraparietal sulcus activity for math success
  • Study supports neural efficiency hypothesis across development
  • Findings guide interventions targeting embodied learning in early education

Pulse Analysis

Embodied cognition has long suggested that early learners ground numerical concepts in physical actions such as finger counting. The new Cerebral Cortex paper confirms this scaffold by showing that fourth‑graders rely heavily on the intraparietal sulcus—a region tied to quantity processing—to achieve higher math scores. In contrast, adult participants who excelled in standardized math tests displayed markedly lower activity in sensorimotor cortices and the right insula, suggesting that the brain has off‑loaded the need for physical representations as expertise develops.

For educators and cognitive scientists, the study underscores a pivotal transition point: effective instruction should nurture embodied strategies in childhood while gradually encouraging abstract, automatic processing. Training programs that blend manipulatives with increasingly symbolic tasks could accelerate the neural shift toward efficiency, potentially narrowing gaps for students who struggle with math. Moreover, the clear dissociation between math‑related and reading‑related brain activity reinforces the specificity of these neural pathways, hinting that targeted neurofeedback or brain‑based assessments might one day personalize math interventions.

Future research will need longitudinal designs to map the exact timeline of this neural reconfiguration within individuals. Consistent scanner hardware and larger, more diverse cohorts could validate whether reduced sensorimotor engagement universally predicts math mastery or varies across cultures and educational systems. Understanding how and when the brain transitions from embodied scaffolding to automatic abstraction will not only refine theories of expertise but also inform policies that balance hands‑on learning with the development of higher‑order numerical reasoning.

Adults with better math skills rely less on the brain’s physical movement areas

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