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16-02-2021 | ORIGINAL PAPER | Uitgave 5/2021

Mindfulness 5/2021

A Network Modeling Approach to Mindfulness Mechanisms: a Proof-of-Concept Investigation

Tijdschrift:
Mindfulness > Uitgave 5/2021
Auteurs:
Anna Aizik-Reebs, Adi Shoham, Yuval Hadash, Amit Bernstein
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Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1007/​s12671-020-01580-7.

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Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Abstract

Objectives

In contrast to theory, most extant research has not investigated mindfulness mechanisms as dynamic system(s) of processes nor via measurement with high temporal and contextual resolution in participants’ real-world environment.

Methods

Accordingly, as an initial proof of concept approach, we applied a network analysis methodology to experience sampling data twice daily of 10 risk and protective processes of interest, pre- and post-mindfulness training (3-week, 6-session intervention) among 82 meditation-naive adults.

Results

First, we found changes in the network post-relative to pre-intervention, including the emergence or strengthening of key network pathways (e.g., willingness, positive affect) as well as the pruning or weakening of pathways (e.g., negative affect, depressed/anxious mood). Second, relatedly, we found that negative affect was less functionally central at post- versus pre-intervention.

Conclusions

Findings suggest theoretically and clinically important changes in the functional connectivity of a network of mindfulness mechanisms and related processes following a mindfulness intervention. This proof of concept study and its findings are discussed with respect to the emerging study of mindfulness mechanisms as a dynamic system or network.

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