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Article

Neuroplasticity within and between Functional Brain Networks in Mental Training Based on Long-Term Meditation

by
Roberto Guidotti
1,*,
Cosimo Del Gratta
1,2,
Mauro Gianni Perrucci
1,2,
Gian Luca Romani
2 and
Antonino Raffone
3,4
1
Department of Neuroscience, Imaging and Clinical Sciences, “Gabriele D’Annunzio” University Chieti-Pescara, 66100 Chieti, Italy
2
Institute for Advanced Biomedical Technologies, “Gabriele D’Annunzio” University Chieti-Pescara, 66100 Chieti, Italy
3
Department of Psychology, “La Sapienza” University Rome, 00185 Rome, Italy
4
School of Buddhist Studies, Philosophy and Comparative Religions, Nalanda University, Rajgir 803116, India
*
Author to whom correspondence should be addressed.
Brain Sci. 2021, 11(8), 1086; https://doi.org/10.3390/brainsci11081086
Submission received: 13 July 2021 / Revised: 31 July 2021 / Accepted: 15 August 2021 / Published: 18 August 2021
(This article belongs to the Section Neuropsychology)

Abstract

(1) The effects of intensive mental training based on meditation on the functional and structural organization of the human brain have been addressed by several neuroscientific studies. However, how large-scale connectivity patterns are affected by long-term practice of the main forms of meditation, Focused Attention (FA) and Open Monitoring (OM), as well as by aging, has not yet been elucidated. (2) Using functional Magnetic Resonance Imaging (fMRI) and multivariate pattern analysis, we investigated the impact of meditation expertise and age on functional connectivity patterns in large-scale brain networks during different meditation styles in long-term meditators. (3) The results show that fMRI connectivity patterns in multiple key brain networks can differentially predict the meditation expertise and age of long-term meditators. Expertise-predictive patterns are differently affected by FA and OM, while age-predictive patterns are not influenced by the meditation form. The FA meditation connectivity pattern modulated by expertise included nodes and connections implicated in focusing, sustaining and monitoring attention, while OM patterns included nodes associated with cognitive control and emotion regulation. (4) The study highlights a long-term effect of meditation practice on multivariate patterns of functional brain connectivity and suggests that meditation expertise is associated with specific neuroplastic changes in connectivity patterns within and between multiple brain networks.
Keywords: functional connectivity; meditation; MVPA; brain networks; fMRI; neuroplasticity; machine learning functional connectivity; meditation; MVPA; brain networks; fMRI; neuroplasticity; machine learning

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MDPI and ACS Style

Guidotti, R.; Del Gratta, C.; Perrucci, M.G.; Romani, G.L.; Raffone, A. Neuroplasticity within and between Functional Brain Networks in Mental Training Based on Long-Term Meditation. Brain Sci. 2021, 11, 1086. https://doi.org/10.3390/brainsci11081086

AMA Style

Guidotti R, Del Gratta C, Perrucci MG, Romani GL, Raffone A. Neuroplasticity within and between Functional Brain Networks in Mental Training Based on Long-Term Meditation. Brain Sciences. 2021; 11(8):1086. https://doi.org/10.3390/brainsci11081086

Chicago/Turabian Style

Guidotti, Roberto, Cosimo Del Gratta, Mauro Gianni Perrucci, Gian Luca Romani, and Antonino Raffone. 2021. "Neuroplasticity within and between Functional Brain Networks in Mental Training Based on Long-Term Meditation" Brain Sciences 11, no. 8: 1086. https://doi.org/10.3390/brainsci11081086

APA Style

Guidotti, R., Del Gratta, C., Perrucci, M. G., Romani, G. L., & Raffone, A. (2021). Neuroplasticity within and between Functional Brain Networks in Mental Training Based on Long-Term Meditation. Brain Sciences, 11(8), 1086. https://doi.org/10.3390/brainsci11081086

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