EEG remains a powerful and non-obsolete tool for studying the neural basis of mindfulness. The review outlines EEG's unique advantages for experimental design, highlights new analytic approaches and translational paradigms, and gives examples from the authors' work and the broader literature. It argues that EEG can still spark new insights in both basic science and clinical applications of mindfulness, and encourages investigators to fully use its capabilities to advance contemplative neuroscience.
Alpha and theta brain rhythms have been linked to mindfulness, but connecting brain activity to subjective experience is difficult. This study used network analysis on data from 16 novices who completed up to 24 sessions of focused attention and open monitoring meditation, with EEG and self-reported mindfulness collected. Distinct network structures emerged for each practice, supporting their theoretical differences. Shared features included strong autoregressive effects for mindfulness—consistent with skill learning—and opposing influences of frontal versus posterior alpha power. The results challenge simple interpretations of meditation-related EEG, suggesting the functional meaning of neural activity depends on the specific practice and training stage.