bioRxiv (Cold Spring Harbor Laboratory)
September 9, 2025
Ratna Jyothi Kakumanu, Ajay Kumar Nair, Arun Sasidharan et al.
preprint
A novel approach using four EEG-based biomarkers—potentials, their first-order derivatives, and phase slip rates derived from each—distinguished novice Vipassana meditators from non-meditator controls. Phase slip rates, discontinuities in instantaneous phase representing cortical phase transitions, were computed from 128-channel EEG data collected during a visual oddball task. Eight novice Vipassana subjects and eight non-meditator controls each completed 50 trials; 44 artifact-free trials per subject were averaged. Spatiotemporal profiles of all four biomarkers differed significantly between groups, and the novice Vipassana subjects showed faster object recognition. The findings suggest phase slip rates offer a promising set of biomarkers for quantitative task-based EEG analyses.
IntechOpen eBooks
June 10, 2025
Ratna Jyothi Kakumanu
A classical Buddhist doctrine, the Abhidhamma, offers a cognitive model in which consciousness, mental factors, and materiality co-arise through causally interdependent processes, articulated by the principle of Dependent Origination. The chapter argues that this model's cognitive sequences (vīthi-citta) converge with modern neuroscientific accounts of sensory processing and motor responses. It proposes an integrative framework that bridges contemplative insight and empirical science, reinforcing a holistic mind-body paradigm. The authors contend that the Abhidhamma's emphasis on mental training, such as Vipassana meditation, aligns with findings on neuroplasticity, suggesting that intentional mental states can reshape neural architecture and offering potential clinical applications for psychosomatic disorders and altered states of consciousness.
Progress in Brain Research
January 1, 2019
Ratna Jyothi Kakumanu, Ajay Kumar Nair, Arun Sasidharan et al.
Long-term Vipassana meditation practice, both in duration and quality, is linked to graded differences in brain activity during a cognitive task. After an hour of meditation, three groups of practitioners—novices, seniors, and teachers—performed a gamified oddball task while EEG was recorded. All groups performed well and showed similar overall brain-wave patterns, but more experienced meditators exhibited reduced theta synchrony, enhanced alpha desynchronization, and lesser theta-alpha coherence. Teachers differed most from novices, with seniors forming an intermediate group. The findings suggest that both the quantity and quality of meditation influence EEG dynamics during cognitive processing, and that meditating before a task can amplify these state-trait effects.
Biological Psychology
May 1, 2018
Ratna Jyothi Kakumanu, Ajay Kumar Nair, Rahul Venugopal et al.
Vipassana meditation, as taught by S.N. Goenka, involves distinct EEG patterns that vary by technique and practitioner proficiency. Compared to Novices, Senior meditators and Teachers showed greater delta, theta-alpha, and low-gamma power at rest. During concentrative and mindfulness meditation, they exhibited increased low-alpha and low-gamma power; during loving-kindness meditation, increased theta-alpha and low-gamma power. Measures of permutation entropy and Higuchi fractal dimension revealed that only Teachers, not Seniors, displayed consistent increases in network complexity from rest and across meditation states, indicating that high proficiency, not just duration of experience, drives neural complexity changes.