A 2025 network-neuroscience review by scientists from The Ohio State University, Harvard University, Boston University, Harvard Medical School, Northeastern University, Massachusetts Institute of Technology, Massachusetts General Hospital and Indiana University finds that mindfulness meditation systematically reshapes brain connectivity, shifting connector hubs in regions like the ACC, thalamus, and mid-insula and reducing default mode network segregation. The authors highlight mixed but promising evidence for more efficient global communication and call for rigorous, diverse, and open science to map how meditation reorganizes whole-brain networks.
A 2025 review in Biological Psychiatry: Cognitive Neuroscience and Neuroimaging brings together two fast-growing fields mindfulness meditation and network neuroscience to ask a powerful question: how does meditation reshape the brain’s communication highways, not just isolated regions.
Using graph-theoretic tools, network neuroscience treats the brain as a web of nodes (regions) and edges (connections), allowing researchers to quantify core properties like segregation, integration, and influence across whole-brain networks. The review summarizes emerging evidence that mindfulness alters these network-level features in systematic ways. Studies report shifts in key connector hubs including the anterior cingulate cortex (ACC), thalamus, and mid-insula which are strategically positioned to route information between specialized systems such as the default mode network (DMN), frontoparietal control network (FPN), and salience network (SN).
Across interventions ranging from brief training in novices to long-term practice, mindfulness is associated with reduced intra-connectivity within the DMN, a network linked to self-referential thinking and mind-wandering, alongside enhanced coupling between control and salience regions that support attention and emotion regulation. Some studies find shorter path length and higher global efficiency, implying more efficient information flow, while others show increased betweenness centrality in structures like the caudate, suggesting a greater hub role in coordinating motivation and cognitive control.
At the same time, the authors stress that this literature is still small and methodologically mixed, with variability in training protocols, samples, and analytic pipelines. They call for rigorous randomized designs, dynamic (time-varying) connectivity analyses, open data and code, and more diverse participant samples to clarify how different mindfulness practices causally influence brain organization. As these tools mature, network neuroscience may help explain how meditation produces complex “emergent” outcomes like improved attention, emotion regulation, and resilience by tracing how entire brain networks reconfigure with training.
