Meditation-State Functional Connectivity (msFC): Strengthening of the Dorsal Attention Network and Beyond.
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Meditation practice alters intrinsic resting-state functional connectivity (rsFC) in the default mode network (DMN). However, little is known regarding the effects of meditation on other resting-state networks. The aim of current study was to investigate the effects of meditation experience and meditation-state functional connectivity (msFC) on multiple resting-state networks (RSNs). Meditation practitioners (MPs) performed two 5-minute scans, one during rest, one while meditating. A meditation naïve control group (CG) underwent one resting-state scan. Exploratory regression analyses of the relations between years of meditation practice and rsFC and msFC were conducted. During resting-state, MP as compared to CG exhibited greater rsFC within the Dorsal Attention Network (DAN). Among MP, meditation, as compared to rest, strengthened FC between the DAN and DMN and Salience network whereas it decreased FC between the DAN, dorsal medial PFC, and insula. Regression analyses revealed positive correlations between the number of years of meditation experience and msFC between DAN, thalamus, and anterior parietal sulcus, whereas negative correlations between DAN, lateral and superior parietal, and insula. These findings suggest that the practice of meditation strengthens FC within the DAN as well as strengthens the coupling between distributed networks that are involved in attention, self-referential processes, and affective response.
Published Version (Please cite this version)10.1155/2012/680407
Publication InfoFroeliger, Brett; Garland, Eric L; Kozink, Rachel V; Modlin, Leslie A; Chen, Nan-Kuei; McClernon, F Joseph; ... Sobin, Paul (2012). Meditation-State Functional Connectivity (msFC): Strengthening of the Dorsal Attention Network and Beyond. Evid Based Complement Alternat Med, 2012. pp. 680407. 10.1155/2012/680407. Retrieved from https://hdl.handle.net/10161/11995.
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Adjunct Associate Professor in the Department of Radiology
Dr. Chen is a magnetic resonance imaging (MRI) physicist with research interest in fast image acquisition methodology, pulse sequence design, MRI artifact correction, and application of MRI to studies of neurological diseases. He has been developing novel high-resolution imaging protocols and analysis procedures for mapping structural and functional connectivity of brains. More generally, Dr. Chen's research involves the application of MRI in translational contexts. He has been serving as the pr
Adjunct Assistant Professor in the Department of Psychiatry and Behavioral Sciences
- Biological mechanisms linking emotion, stress and health (psychoneuroimmunology) - Effects of mindfulness meditation on stress reduction, sleep quality, and cardiovascular risk profile - Integrative medicine clinical outcomes research - Advanced statistical modeling (e.g., SEM, HLM)
This author no longer has a Scholars@Duke profile, so the information shown here reflects their Duke status at the time this item was deposited.
Professor in Psychiatry & Behavioral Sciences
Joe McClernon, Ph.D. is a Professor in the Department of Psychiatry and Behavioral Sciences, Founder/Director of the Center for Addiction Science and Technology (CfAST), and Director of Evaluation and Strategic Planning in the Duke Clinical and Translational Science Institute (CTSI). He earned a Ph.D. in clinical psychology in 2001 from Southern Illinois University-Carbondale and completed a postdoctoral fellowship at Duke in 2002. He served as Director of the Addiction Division in Psychiatry
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