Ramakrishnan Angarai Ganesan

MILE Lab, Department of Electrical Engineering, Indian Institute of Science, Bengaluru, India; Centre for Neuroscience, Indian Institute of Science, Bengaluru, India.

3 papers in the library · 32 citations · publishing 2023-2025

Papers

Changes in high-order interaction measures of synergy and redundancy during non-ordinary states of consciousness induced by meditation, hypnosis, and auto-induced cognitive trance.

NeuroImage June 1, 2024 Pradeep Kumar G, Rajanikant Panda, Kanishka Sharma et al. 20 citations

High-order interactions between brain regions, measured as synergistic and redundant information, change differently across three non-ordinary states of consciousness. During Rajyoga meditation, synergy increased across the whole brain in delta and theta brainwave bands, while redundancy decreased in frontal, central, and posterior electrodes in delta and beta bands. During hypnosis, synergy decreased in mid-frontal, temporal, and mid-centro-parietal electrodes in the delta band, and in left frontal and right parietal electrodes in the beta2 band. During auto-induced cognitive trance, synergy decreased in delta and theta bands in left-frontal, right-frontocentral, and posterior electrodes, and at the whole brain level in the alpha band. Redundancy changes during hypnosis and auto-induced cognitive trance were not significant. Subjective reports of absorption, dissociation, and mystical experience did not correlate with the high-order measures.

DOI: 10.1016/j.neuroimage.2024.120623 Full text High-order interaction Hypnosis O-information Rajyoga meditation +3

High Theta–Low Alpha Modulation of Brain Electric Activity During Eyes-Open Brahma Kumaris Rajyoga Meditation

Mindfulness July 1, 2023 Kanishka Sharma, Peter Achermann, Bhawna Panwar et al. 12 citations

During Brahma Kumaris Rajyoga meditation—a practice done with open eyes—long-term meditators show reduced delta and increased low alpha brain activity compared to resting. Source localization of EEG from 52 experienced meditators reveals that the meditation alters activation in the central executive, mirroring, task-positive, and task-negative networks. These changes correspond to attention modulation, self-related processing, visual imagery, and an extra-corporeal sense of being a soul in communion with a Supreme Soul. The findings suggest that seed-stage meditation involves distinct cognitive and affective processes, and future work should differentiate its stages.

DOI: 10.1007/s12671-023-02163-y Full text Default mode network Rajyoga meditation EEG Source localization +8

Subject-independent Classification of Meditative State from the Resting State using EEG

arXiv Preprint Archive April 25, 2025 Jerrin Thomas Panachakel, G. Pradeep Kumar, Suryaa Seran et al.

Three machine-learning architectures distinguished Rajyoga meditation from resting brain states using EEG data, with the goal of subject-independent classification. The CSP-LDA-LSTM architecture achieved 98.2% accuracy for intra-subject classification, while the SVD-NN architecture reached 96.4% accuracy for inter-subject classification, comparable to the best reported intra-subject results. Both architectures captured subject-invariant EEG features, indicating robustness and ability to generalize across different subjects.

Full text Meditation Mindfulness Machine-learning cs.lg Signal-processing eess.sp +1