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The posterior cingulate cortex as a plausible mechanistic target of meditation: findings from neuroimaging.

Judson A. Brewer, Kathleen A Garrison

Annals of the New York Academy of Sciences January 1, 2014 DOI: 10.1111/nyas.12246 (opens in new tab) via PubMed

Summary

AI-generated from the abstract

Mindfulness training targets brain regions like the posterior cingulate cortex, a hub of the default mode network, according to a review of psychological and neuroimaging research. Ancient and modern models of stress, such as operant conditioning, converge on plausible biological mechanisms for mindfulness. Recent studies using real-time functional magnetic resonance imaging neurofeedback in neurophenomenological investigations reveal how meditation alters activity in task-positive and default mode networks, reducing mind wandering. The paper highlights emerging findings that link mindfulness practice to changes in brain function, though it does not report new experimental results.

Study at a glance

Characteristics Review Peer reviewed
Topics Default mode network Meditation
Keywords FMRI Mind wandering Task-positive network
Key finding Mindfulness training targets the posterior cingulate cortex and other default mode network regions, with neuroimaging studies showing altered brain activity during meditation.

Abstract

There has been an increased interest in mindfulness and meditation training over the past decade. As evidenced by exponential growth in the number of publications since the beginning of the 21st century, progressively more is becoming known about both the clinical efficacy and underlying neurobiological mechanisms of mindfulness training. This paper briefly highlights psychological models of stress that converge between ancient and modern day (e.g., operant conditioning); identifies key brain regions that, with these models, are biologically plausible targets for mindfulness (e.g., posterior cingulate cortex); and discusses recent and emerging findings from neuroimaging studies of meditation therein, including new advances using real-time functional magnetic resonance imaging neurofeedback in neurophenomenological studies.

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