Adaptive Attention Processes in Mindfulness Meditation: An EEG-based Review of Modifiable Neural Correlates.

Authors

L Forest G Rosenfeld, Rebecca L Silton, Erica K Yuen

Published in

Behavioural brain research. Pages 116399. Jul 25, 2026. Epub Jul 25, 2026.

Abstract

Mindfulness meditation has been studied for its many health benefits, yet the neural mechanisms that facilitate these benefits are still opaque. The present review examines adaptive attention processes and associated dynamic brain networks (e.g., executive control network, default mode network) that are engaged during mindfulness meditation, demonstrating emerging evidence of durable neuroplasticity linked to beneficial psychological outcomes. Electroencephalography (EEG) methods offer high-resolution chronometry of cortical neural processes and are necessary to investigate the rapid dynamics of adaptive attention processes that are changed due to mindfulness meditation. Here we review EEG methodologies that have been used to investigate attention processes in the context of mindfulness meditation, and discuss how malleable attention networks, in particular the executive control network, and the default mode network influence adaptive attention processes, which in turn leads to reduced psychological distress and improved emotional wellbeing. This review emphasizes an interdisciplinary perspective on bridging neurocognitive methodologies of attention processes with clinical outcomes on which to build future evidenced-based mindfulness meditation strategies and interventions.

PMID:
42501760
Bibliographic data and abstract were imported from PubMed on 26 Jul 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.