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Mindful attention promotes control of brain network dynamics for self-regulation and discontinues the past from the present

Dale Zhou, Yoona Kang, Danielle Cosme, Mia Jovanova, Xiaosong He, Arun S. Mahadevan, Jeesung Ahn, Ovidia Stanoi, Julia K. Brynildsen, Nicole Cooper, Eli J. Cornblath, Linden Parkes, Peter J. Mucha, Kevin N. Ochsner, David M. Lydon‐Staley, Emily B. Falk, Dani S. Bassett

Proceedings of the National Academy of Sciences January 3, 2023 DOI: 10.1073/pnas.2201074119 (opens in new tab) via OpenAlex

Summary

AI-generated from the abstract

People with greater network controllability—the ability to efficiently distribute neural control inputs across the brain's white matter—moderated their alcohol consumption. In a randomized controlled study, participants primed to mindfully respond to alcohol cues, compared to those who naturally reacted, reported reduced craving, though craving did not differ from a baseline group. Mindful regulation of alcohol cues involved more effortful control of neural dynamics across cognitive control and attention subnetworks compared to natural reactions in the baseline group, and this effort persisted in the mindful group's natural reactions. More effortful neural states had shorter intrinsic timescales, explaining how mindful attention promotes being present by quickly discontinuing past processing.

Study at a glance

Characteristics Randomized controlled study Peer reviewed
Duration 4 wk postscan
Topics Addiction Meditation
Keywords Craving Control management Cognition Sobriety
Citations 40
Key finding Participants with greater network controllability moderated alcohol consumption, and mindful regulation of alcohol cues involved more effortful neural control across cognitive control and attention subnetworks.

Abstract

Mindful attention is characterized by acknowledging the present experience as a transient mental event. Early stages of mindfulness practice may require greater neural effort for later efficiency. Early effort may self-regulate behavior and focalize the present, but this understanding lacks a computational explanation. Here we used network control theory as a model of how external control inputs-operationalizing effort-distribute changes in neural activity evoked during mindful attention across the white matter network. We hypothesized that individuals with greater network controllability, thereby efficiently distributing control inputs, effectively self-regulate behavior. We further hypothesized that brain regions that utilize greater control input exhibit shorter intrinsic timescales of neural activity. Shorter timescales characterize quickly discontinuing past processing to focalize the present. We tested these hypotheses in a randomized controlled study that primed participants to either mindfully respond or naturally react to alcohol cues during fMRI and administered text reminders and measurements of alcohol consumption during 4 wk postscan. We found that participants with greater network controllability moderated alcohol consumption. Mindful regulation of alcohol cues, compared to one's own natural reactions, reduced craving, but craving did not differ from the baseline group. Mindful regulation of alcohol cues, compared to the natural reactions of the baseline group, involved more-effortful control of neural dynamics across cognitive control and attention subnetworks. This effort persisted in the natural reactions of the mindful group compared to the baseline group. More-effortful neural states had shorter timescales than less effortful states, offering an explanation for how mindful attention promotes being present.

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