# Heterogeneity in mathematics: Investigating cognitive profiles and reading comorbidities among children

**Authors:** Sonia Hasson, Sarit Ashkenazi

PMC · DOI: 10.1007/s00426-026-02253-1 · Psychological Research · 2026-02-28

## TL;DR

This study explores different cognitive profiles in children with math difficulties, showing that their challenges are linked to broader cognitive factors like reading and memory.

## Contribution

The study identifies five distinct cognitive subgroups among children with math difficulties using cluster analysis.

## Key findings

- Five distinct cognitive subgroups were identified, differing mainly in domain-general abilities.
- Children with math difficulties showed diverse profiles, including reading accuracy and inhibition difficulties.
- Mathematical performance was more closely tied to general cognitive factors than math-specific skills.

## Abstract

Mathematical performance relies on multiple cognitive components, including numerical understanding, language comprehension, and working memory. Although children experiencing mathematical difficulties (MD) share common challenges, their underlying cognitive profiles vary considerably. Understanding this cognitive diversity is important for developing targeted assessment and intervention. This study aims to identify and characterize distinct cognitive profiles among elementary school children, based on their general strengths and weaknesses, and their mathematics-specific cognitive domains. We evaluated 186 children (grades 3–4), including those with MD (n = 110), and typically developing peers (n = 76) from seven schools in northern Israel. Assessments included domain-specific and domain-general abilities, as well as mathematical and reading performance. Using cluster analysis, we identified five distinct subgroups: Reading Accuracy Difficulties, Mild Mathematical Deficit, High Mathematical Performance, Inhibition Difficulties, and Average Mathematical Performance with reduced non-verbal reasoning. Interestingly, these subgroups were distinguished mainly by their differences in domain-general, rather than domain-specific abilities, thus highlighting the importance of these cognitive factors in Grades 3–4. These findings reflect the diverse nature of MD and its connection to general cognitive factors, which may assist in developing targeted interventions.

The online version contains supplementary material available at 10.1007/s00426-026-02253-1.

## Full-text entities

- **Diseases:** deficits in core numerical abilities (MESH:D020512), Reading difficulties (MESH:D004410), impairments in numerical processing (MESH:D001308), arithmetic impairments (MESH:D060825), COVID-19 (MESH:D000086382), reading weakness (MESH:D018908), in number sense and (MESH:D020886), attention disorders (MESH:D001289), impaired visuospatial working memory (MESH:D000377), impairments in core numerical skills (MESH:D019957), Mathematical Learning Disability (MESH:D007859), processing (MESH:D010335), fluency deficits (MESH:D013064), language difficulties (MESH:D007806), MLD (MESH:D007966), cognitive deficits (MESH:D003072), math disorders (MESH:D009358), MD (MESH:D051346), memory (MESH:D008569), developmental dyscalculia (MESH:D060705), access deficit (MESH:D009461), specific numerical (MESH:D000080888)
- **Species:** Homo sapiens (human, species) [taxon 9606], Mus musculus (house mouse, species) [taxon 10090]

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12950034/full.md

## References

7 references — full list in the complete paper: https://tomesphere.com/paper/PMC12950034/full.md

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Source: https://tomesphere.com/paper/PMC12950034