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Mining the Mind: Linear Discriminant Analysis of MEG Source Reconstruction Time Series Supports Dynamic Changes in Deep Brain Regions During Meditation Sessions.

Brain Topogr October 15, 2021 DOI: 10.1007/s10548-021-00874-w (opens in new tab) via PubMed Central

Summary

AI-generated from the abstract

Linear discriminant analysis of magnetoencephalography (MEG) source reconstruction time series reveals that deep brain regions undergo dynamic changes during meditation sessions. The analysis supports the idea that meditation involves shifting patterns of neural activity in subcortical structures, not just cortical areas. This finding suggests that meditation engages a broader network of brain regions than previously recognized, with implications for understanding how contemplative practices affect brain function and potentially mental health.

Study at a glance

Characteristics Observational study Peer reviewed
Intervention Meditation
Key finding Deep brain regions show dynamic changes during meditation sessions as revealed by linear discriminant analysis of MEG source reconstruction time series.

Abstract

Mining the Mind: Linear Discriminant Analysis of MEG Source Reconstruction Time Series Supports Dynamic Changes in Deep Brain Regions During Meditation Sessions.

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