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Augmenting complex and dynamic performance through mindfulness-based cognitive training: an evaluation of training adherence, trait mindfulness, personality and resting-state EEG

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dc.contributor.authorDziego, C.A.
dc.contributor.authorBornkessel Schlesewsky, I.
dc.contributor.authorSchlesewsky, M.
dc.contributor.authorSinha, R.
dc.contributor.authorImmink, M.A.
dc.contributor.authorCross, Z.R.
dc.contributor.editorFernandez, T.
dc.date.issued2024
dc.descriptionData source: Supporting information, https://doi.org/10.1371/journal.pone.0292501
dc.description.abstractHuman performance applications of mindfulness-based training have demonstrated its utility in enhancing cognitive functioning. Previous studies have illustrated how these interventions can improve performance on traditional cognitive tests, however, little investigation has explored the extent to which mindfulness-based training can optimise performance in more dynamic and complex contexts. Further, from a neuroscientific perspective, the underlying mechanisms responsible for performance enhancements remain largely undescribed. With this in mind, the following study aimed to investigate how a short-term mindfulness intervention (one week) augments performance on a dynamic and complex task (target motion analyst task; TMA) in young, healthy adults (n = 40, age ʳᵃⁿᵍᵉ = 18–38). Linear mixed effect modelling revealed that increased adherence to the web-based mindfulness-based training regime (ranging from 0–21 sessions) was associated with improved performance in the second testing session of the TMA task, controlling for baseline performance. Analyses of resting-state electroencephalographic (EEG) metrics demonstrated no change across testing sessions. Investigations of additional individual factors demonstrated that enhancements associated with training adherence remained relatively consistent across varying levels of participants’ resting-state EEG metrics, personality measures (i.e., trait mindfulness, neuroticism, conscientiousness), self-reported enjoyment and timing of intervention adherence. Our results thus indicate that mindfulness-based cognitive training leads to performance enhancements in distantly related tasks, irrespective of several individual differences. We also revealed nuances in the magnitude of cognitive enhancements contingent on the timing of adherence, regardless of total volume of training. Overall, our findings suggest that mindfulness-based training could be used in a myriad of settings to elicit transferable performance enhancements.
dc.identifier.citationPLoS ONE, 2024; 19(5):1-30
dc.identifier.doi10.1371/journal.pone.0292501
dc.identifier.issn1932-6203
dc.identifier.issn1932-6203
dc.identifier.urihttps://hdl.handle.net/11541.2/38957
dc.language.isoen
dc.publisherPublic Library of Science
dc.relation.fundingARC FT160100437
dc.relation.fundingDefence Science and Technology Group 9208
dc.rightsCopyright 2024 Dziego et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. (https://creativecommons.org/licenses/by/4.0/)
dc.source.urihttps://doi.org/10.1371/journal.pone.0292501
dc.subjecthuman performance
dc.subjectelectroencephalography
dc.subjectattention
dc.subjectworking memory
dc.titleAugmenting complex and dynamic performance through mindfulness-based cognitive training: an evaluation of training adherence, trait mindfulness, personality and resting-state EEG
dc.typeJournal article
pubs.publication-statusPublished
ror.fileinfo12287000250001831 13305828640001831 9916862426701831
ror.mmsid9916862426701831

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