Time-evolving dynamics in brain networks forecast responses to health messaging

Network Neuroscience
Nicole CooperJean M Vettel

Abstract

Neuroimaging measures have been used to forecast complex behaviors, including how individuals change decisions about their health in response to persuasive communications, but have rarely incorporated metrics of brain network dynamics. How do functional dynamics within and between brain networks relate to the processes of persuasion and behavior change? To address this question, we scanned 45 adult smokers by using functional magnetic resonance imaging while they viewed anti-smoking images. Participants reported their smoking behavior and intentions to quit smoking before the scan and 1 month later. We focused on regions within four atlas-defined networks and examined whether they formed consistent network communities during this task (measured as allegiance). Smokers who showed reduced allegiance among regions within the default mode and fronto-parietal networks also demonstrated larger increases in their intentions to quit smoking 1 month later. We further examined dynamics of the ventromedial prefrontal cortex (vmPFC), as activation in this region has been frequently related to behavior change. The degree to which vmPFC changed its community assignment over time (measured as flexibility) was positively associated with smokin...Continue Reading

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Citations

Jun 19, 2019·ELife·Perry Zurn, Danielle S Bassett
Sep 12, 2020·Scientific Reports·Javier O GarciaEmily D Grossman
Dec 22, 2020·Frontiers in Human Neuroscience·Richard HuskeyRené Weber

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Methods Mentioned

BETA
X-ray

Software Mentioned

MarsBar
Vettel
robtest
R
3dDespike
Statistical Parametric Mapping ( SPM8
MASS
FSL
sfsmisc
AFNI

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