Meditation attenuates activity of a trans-diagnostic brain network: 3T and 7T fMRI evidence

Poster No:

1331 

Submission Type:

Abstract Submission 

Authors:

Saampras Ganesan1, Bradford Moffat2, Nicholas Van Dam3, Valentina Lorenzetti4, Andrew Zalesky1,5

Institutions:

1Department of Biomedical Engineering, The University of Melbourne, Melbourne, Victoria, 2Melbourne Brain Centre Imaging Unit, The University of Melbourne, Melbourne, Victoria, 3Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria, 4Faculty of Health, Australian Catholic University, Melbourne, Victoria, 5Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia

First Author:

Saampras Ganesan, M. Eng.  
Department of Biomedical Engineering, The University of Melbourne
Melbourne, Victoria

Co-Author(s):

Bradford Moffat, PhD  
Melbourne Brain Centre Imaging Unit, The University of Melbourne
Melbourne, Victoria
Nicholas Van Dam, PhD  
Melbourne School of Psychological Sciences, The University of Melbourne
Melbourne, Victoria
Valentina Lorenzetti, PhD  
Faculty of Health, Australian Catholic University
Melbourne, Victoria
Andrew ZALESKY, PhD  
Department of Biomedical Engineering, The University of Melbourne|Department of Psychiatry, The University of Melbourne
Melbourne, Victoria|Melbourne, Victoria, Australia

Introduction:

Burgeoning fMRI research in meditation alongside advancements in ultra-high field fMRI and real-time neuroimaging uniquely enable multi-faceted investigations into the neurobiology of meditation. Meditation encompasses mind-body attentional training [7], that can alleviate core psychopathological symptoms, such as dysfunctional self-referential thinking and mood [1, 5, 6], prevalent across multiple internalizing psychiatric disorders including depression, anxiety, schizophrenia, etc. Elucidating the most robust neurobiological underpinnings of meditation can help objectively inform and develop the therapeutic value of meditation in treating prevalent psychiatric disorders [6].

Methods:

Here, we present and distil fMRI-measured brain activations reported across 3 independent studies of task-fMRI meditation research (Figure 1), comprising N=210 healthy individuals that either: i) meditated by paying attention to breathing sensations (meditation condition) or; ii) engaged in a non-meditative control condition (e.g., let their minds wander freely) inside the MRI scanner. The first study (N=174) involves whole-brain random-effects activation likelihood estimation (ALE) meta-analysis of significant brain activation coordinates reported in PRISMA-eligible 3T meditation task-fMRI studies [3]. The second study (N=10) involves group-level whole-brain general linear modelling (GLM) inferences from first-of-a-kind ultra-high field 7T meditation task-fMRI following stringent artefact modelling [4]. The final study (N=26) involves group-level inferences from a real-time 7T fMRI neurofeedback paradigm (2-day fMRI sessions) that aimed to train participant self-regulation of BOLD activation within a target brain region via meditation.
Supporting Image: Figure_1.png
 

Results:

Key nodes of the default-mode network (DMN) were implicated commonly across all 3 independent studies, demonstrating significantly reduced activation during meditation compared to control condition (Figure 2). Specifically, the coordinate-based meta-analysis revealed significantly reduced activation (FWE-corrected p<0.05, 1000 permutations) during meditation vs. control condition in the medial prefrontal cortex (mPFC). Group-level GLM of the 7T meditation task-fMRI, adjusted for head-motion, physiological (RETROICOR) and arousal (self-report) variables, found significantly reduced activation (FWE-corrected p<0.05, z>3.1, 1024 permutations) during meditation vs. rest in precuneus, posterior cingulate cortex (PCC) and mPFC. Finally, mean BOLD percent-signal change within PCC (neurofeedback target region) estimated in real-time during neurofeedback self-regulation, after real-time adjustment for physiological confounds, was found to be significantly negative (T(25) = -4.0, p = 0.0005) at the group-level for meditation vs. rest.
Supporting Image: Figure_2.png
 

Conclusions:

The distillation of multifaceted brain activation findings from 3T task-fMRI meta-analysis, 7T task-fMRI and 7T fMRI neurofeedback conclusively demonstrates that meditation attenuates activation within the DMN, a brain network predominantly associated with self-referential processing. Notably, given the trans-diagnostic implication of dysfunctional self-referential processing and DMN in psychiatric conditions [2], our findings highlight the potential utility of meditation-based therapeutics in alleviating excessive and aberrant self-referential processing characteristic of several internalizing psychiatric disorders. This work also highlights the value of synthesising multifaceted findings across 3T and 7T MRI to illuminate putative neurobiological mechanisms underlying complex subjective states of awareness (i.e., meditation).

Emotion, Motivation and Social Neuroscience:

Self Processes

Higher Cognitive Functions:

Higher Cognitive Functions Other

Modeling and Analysis Methods:

Activation (eg. BOLD task-fMRI) 1

Novel Imaging Acquisition Methods:

Imaging Methods Other

Perception, Attention and Motor Behavior:

Consciousness and Awareness 2

Keywords:

Consciousness
FUNCTIONAL MRI
HIGH FIELD MR
Meta- Analysis
NORMAL HUMAN
Psychiatric Disorders
Statistical Methods
Other - Neurofeedback; Default-mode network; trans-diagnostic

1|2Indicates the priority used for review

Provide references using author date format

1. Creswell, J.D., Mindfulness Interventions. Annual Review of Psychology, 2017. 68(1): p. 491-516.
2. Doucet, G.E., et al., Transdiagnostic and disease-specific abnormalities in the default-mode network hubs in psychiatric disorders: A meta-analysis of resting-state functional imaging studies. European Psychiatry, 2020. 63(1): p. e57.
3. Ganesan, S., et al., Focused attention meditation in healthy adults: A systematic review and meta-analysis of cross-sectional functional MRI studies. Neuroscience & Biobehavioral Reviews, 2022. 141: p. 104846.
4. Ganesan, S., et al., Meditation attenuates default-mode activity: A pilot study using ultra-high field 7 Tesla MRI. Brain Research Bulletin, 2023. 203: p. 110766.
5. Hölzel, B.K., et al., How Does Mindfulness Meditation Work? Proposing Mechanisms of Action From a Conceptual and Neural Perspective. Perspectives on Psychological Science, 2011. 6(6): p. 537-559.
6. Lin, Y., C.P. Callahan, and J.S. Moser, A mind full of self: Self-referential processing as a mechanism underlying the therapeutic effects of mindfulness training on internalizing disorders. Neuroscience & Biobehavioral Reviews, 2018. 92: p. 172-186.
7. Lutz, A., et al., Attention regulation and monitoring in meditation. Trends in cognitive sciences, 2008. 12(4): p. 163-169.