Daniel Yochai Panitz ^1,2,3 Avi Mendelsohn ^1,2,3 Joana Cabral ^4,5,6 Aviva Berkovich-Ohana ^3,7,8,9*

• ¹ Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, Mount Carmel, Haifa, Israel
• ² Institute of Information Processing and Decision Making, University of Haifa, Mount Carmel, Haifa, Israel
• ³ Integrated Brain and Behavior Research Center, University of Haifa, Haifa, Haifa, Israel
• ⁴ Life and Health Sciences Research Institute, School of Medicine, University of Minho, Braga, Braga, Portugal
• ⁵ Linacre College, University of Oxford, Oxford, England, United Kingdom
• ⁶ ICVS/3B’s Associate Laboratory, Institute on Biomaterials, Biodegradables and Biomimetics, University of Minho, Guimaraes, Braga, Portugal
• ⁷ Department of Learning, Instruction and Teacher Education, Faculty of Education, University of Haifa, Mount Carmel, Haifa, Israel
• ⁸ Department of Counseling and Human Development, Faculty of Education, University of Haifa, Mount Carmel, Haifa, Israel
• ⁹ Edmond J. Safra Brain Research Center for the Study of Learning Disabilities, University of Haifa, Mount Carmel, Haifa, Israel

Interest has been growing in the use of mindfulness meditation (MM) as a therapeutic practice, as accumulating evidence highlights its potential to effectively address a range of mental conditions. While many fMRI studies focused on neural activation and functional connectivity during meditation, the impact of long-term MM practice on spontaneous brain activity, and on the expression of resting state networks over time, remains unclear. Here, intrinsic functional network dynamics were compared between experienced meditators and meditation-naïve participants during rest. Our analysis revealed that meditators tend to spend more time in two brain states that involve synchrony among cortical regions associated with sensory perception. Conversely, a brain state involving frontal areas associated with higher cognitive functions was detected less frequently in experienced meditators. These findings suggest that, by shifting attention towards enhanced sensory and embodied processing, MM effectively modulates the expression of functional network states at rest. These results support the suggested lasting effect of long-term MM on the modulation of resting-state networks, reinforcing its therapeutic potential for disorders characterized by imbalanced network dynamics. Moreover, this study reinforces the utility of analytic approaches from dynamical systems theory to extend current knowledge regarding brain activity and evaluate its response to interventions.