# Functional connectivity patterns in preschool children associated with working memory performance and digital device use

**Authors:** Nadezhda V. Sutormina, Inna A. Kalabina, Victoria L. Efimova, Elena I. Nikolaeva

PMC · DOI: 10.1038/s41598-025-33555-w · Scientific Reports · 2025-12-30

## TL;DR

This study explores how digital device use affects brain connectivity in young children and its link to working memory.

## Contribution

The study identifies EEG connectivity patterns associated with working memory performance in preschool children.

## Key findings

- Short-term smartphone gameplay did not alter EEG functional connectivity.
- Better working memory was linked to more locally segregated delta-band networks.
- Higher-performing children showed greater beta-band clustering, reflecting developmental trends.

## Abstract

Rapid growth in touchscreen technology has made digital devices ubiquitous in early childhood, yet their neurocognitive impact remains unclear. We recorded resting‑state EEG from 31 typically developing 5‑ to 7‑year‑olds immediately before and after a short smartphone‑game session to examine whether brief screen exposure alters functional connectivity patterns in EEG space and how these changes relate to working‑memory performance. Functional connectivity graph‑theoretical metrics (global and local efficiency, clustering coefficient, assortativity and node strength) in delta and beta bands was quantified. Short-term smartphone gameplay did not induce measurable changes in EEG functional connectivity. Cluster analysis identified distinct connectivity patterns across frequency bands. Superior working-memory performance was linked to a more locally segregated and less globally integrated delta-band network. In the beta range, higher-performing children also exhibited greater local clustering, aligning with developmental increases in beta-band segregation. Accordingly, our findings suggest that EEG connectivity metrics can indeed reflect individual differences in working-memory capacity.

The online version contains supplementary material available at 10.1038/s41598-025-33555-w.

## Full-text entities

- **Genes:** PCSK1 (proprotein convertase subtilisin/kexin type 1) [NCBI Gene 5122] {aka BMIQ12, NEC1, PC1, PC1/3, PC3, SPC3}, IGKV5-2 (immunoglobulin kappa variable 5-2) [NCBI Gene 28907] {aka B2, IGKV52}, DLK1 (delta like non-canonical Notch ligand 1) [NCBI Gene 8788] {aka DLK, DLK-1, Delta1, FA1, PREF1, Pref-1}
- **Diseases:** obesity (MESH:D009765), attention deficits (MESH:D001289), fatigue (MESH:D005221)
- **Chemicals:** Gold (MESH:D006046)
- **Species:** Mus musculus (house mouse, species) [taxon 10090], Homo sapiens (human, species) [taxon 9606], Felis catus (cat, species) [taxon 9685]

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12796410/full.md

## References

8 references — full list in the complete paper: https://tomesphere.com/paper/PMC12796410/full.md

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Source: https://tomesphere.com/paper/PMC12796410