# Associations Between Generative AI Use and Facial Expression-Derived Central Executive Network Indices: A Pilot Study

**Authors:** Keisuke Kokubun, Yoshinori Yamakawa, Anna Yoshida, Shinichiro Sanji

PMC · DOI: 10.3390/brainsci16010058 · Brain Sciences · 2025-12-30

## TL;DR

This pilot study suggests that using generative AI during creative tasks may affect brain networks linked to cognitive control, as measured by facial expressions.

## Contribution

The study introduces a novel approach to examining AI's impact on cognition using facial expression-derived brain network indices.

## Key findings

- Generative AI use during concept combination tasks reduced CEN-related facial expression indices.
- Higher creative self-efficacy was linked to smaller reductions in CEN-related indices.
- No significant changes were observed during concept generation or mixed tasks.

## Abstract

Background/Objectives: The rapid diffusion of generative AI has raised concerns about its potential influence on human cognition, particularly during creative work. This pilot study explored task-related associations between generative AI use and facial expression-derived indices that have previously been shown to correlate with gray matter volume in the default mode network (DMN) and central executive network (CEN). Methods: Thirty-three business professionals completed three AI-supported writing tasks involving concept generation, concept combination, and a mixed task. Results: The results showed a statistically robust reduction in the CEN-related facial expression index during the concept combination task, whereas no corrected changes were observed during concept generation or the mixed task. In addition, higher creative self-efficacy was associated with smaller reductions in the CEN-related index. Conclusions: Given the indirect nature of the facial expression measures, the absence of a control condition, and the exploratory design, these findings should be interpreted cautiously and primarily as hypothesis-generating. Future research using controlled designs and direct neuroimaging methods is needed to clarify the cognitive and neural mechanisms underlying AI-assisted creativity.

## Full-text entities

- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

36 references — full list in the complete paper: https://tomesphere.com/paper/PMC12839045/full.md

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Source: https://tomesphere.com/paper/PMC12839045