21. Mindfulness and the Neuroscience of Influence

  1. Amanda Ie,
  2. Christelle T. Ngnoumen and
  3. Ellen J. Langer
  1. Emily B. Falk

Published Online: 21 MAR 2014

DOI: 10.1002/9781118294895.ch21

The Wiley Blackwell Handbook of Mindfulness

The Wiley Blackwell Handbook of Mindfulness

How to Cite

Falk, E. B. (2014) Mindfulness and the Neuroscience of Influence, in The Wiley Blackwell Handbook of Mindfulness (eds A. Ie, C. T. Ngnoumen and E. J. Langer), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781118294895.ch21

Publication History

  1. Published Online: 21 MAR 2014
  2. Published Print: 21 MAR 2014

ISBN Information

Print ISBN: 9781118294871

Online ISBN: 9781118294895

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Keywords:

  • brain;
  • mindfulness;
  • social influence;
  • social neuroscience

Summary

The concept of mindfulness has been applied to problems ranging from promoting creativity to reducing prejudice to improving health. The current chapter provides a brief overview of social cognitive neuroscience investigations of the neural correlates of mindfulness and addresses the idea that trait mindfulness is likely to moderate many well-documented social cognitive neuroscience findings. As one example to illustrate how this might be conceptualized, I focus on mindfulness as a potential moderator of the neural bases of persuasion and social influence. I argue that mindfulness may alter the input weights that the brain assigns to different stimulus dimensions and suggest ways in which state and trait mindfulness might affect the neural processes involved in social influence. Further study that simultaneously examines connectivity between brain regions during social influence, as well as changes in structure in response to changes in mindfulness may be especially helpful in uncovering links between state and trait levels of mindfulness, and the ways that we are mindfully or mindlessly open to cues from those around us. This, in turn, stands not only to increase our understanding of mindfulness and of influence, but also our ability to integrate diverse forms of measurement to predict behavioral outcomes.