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Rajanikant Panda

Coma Science Group, GIGA Consciousness, University of Liège, Liège, Belgium.

6 papers in the library · 163 citations · publishing 2020-2024

Papers

Quantifying arousal and awareness in altered states of consciousness using interpretable deep learning

Nature Communications February 25, 2022 Minji Lee, Leandro Sanz, Alice Barra et al. 120 citations

A deep-learning-based explainable consciousness indicator (ECI) uses EEG responses to transcranial magnetic stimulation and resting-state EEG to separately quantify arousal and awareness. Tested during sleep (n=6), general anesthesia (n=16), and severe brain injury (n=34), ECI distinguishes states such as ketamine-induced anesthesia and rapid eye movement sleep, which combine low arousal with high awareness. Parietal brain regions are most relevant for these measurements. The indicator offers a way to disentangle the two components of consciousness across physiological, pharmacological, and pathological conditions.

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.

Mapping the functional brain state of a world champion freediver in static dry apnea

Brain Structure and Function January 1, 2021 Jitka Annen, Rajanikant Panda, Charlotte Martial et al. 15 citations

A world champion free diver's brain activity and connectivity shift markedly during a 6.5-minute breath-hold. EEG shows increased alpha wave power and connectivity, with decreased delta band connectivity. fMRI reveals heightened connectivity within the default mode network and visual areas, but reduced connectivity in sensorimotor cortices. These changes overlap with some meditation-related brain signatures but also include unique features suggesting altered somatosensory integration. Self-reports indicate that elite free divers may achieve a state of sensory dissociation during prolonged apnea, reflecting their ability to adapt psychologically and physiologically to extreme breath-holding.

Virtual Reality Combined with Mind-Body Therapies for the Management of Pain: A Scoping Review.

The International journal of clinical and experimental hypnosis January 1, 2024 Mélanie Louras, Audrey Vanhaudenhuyse, Rajanikant Panda et al. 8 citations

Combining virtual reality with mind-body therapies such as meditation, mindfulness, relaxation, and hypnosis can reduce pain in both healthy volunteers and patients. A scoping review of 43 studies found that the combination is feasible, well-tolerated, and potentially useful for decreasing pain, and also improves anxiety, mood, and relaxation. However, insufficient research and a lack of multidimensional studies limit full understanding of their potential. More randomized controlled trials with usability evaluations are needed to incorporate these approaches into routine clinical practice.

Low-dimensional organization of global brain states of reduced consciousness

bioRxiv Preprint Server September 28, 2022 Yonatan Sanz Perl, Carla Pallavicini, Juan Piccinini et al. preprint

Brain states are often described on a single scale from full consciousness to unconsciousness, but this ignores the complex, high-dimensional nature of brain activity. By combining whole-brain modeling, data augmentation, and deep learning, researchers mapped states of consciousness into a low-dimensional space where distances reflect similarities between states. They found an orderly trajectory from wakefulness to brain-injured patients, with coordinates related to functional modularity and structure-function coupling, both increasing as consciousness is lost. Model perturbations provided a geometric interpretation of state stability and reversibility. The work suggests conscious awareness depends on functional patterns encoded as a low-dimensional trajectory within the vast space of brain configurations.

Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness

bioRxiv Preprint Server July 2, 2020 Yonatan Sanz Perl, Carla Pallavicini, Ignacio Pérez Ipiña et al. preprint

The level of consciousness—how conscious someone is—is often measured by how similar their brain activity is to normal wakefulness. However, this approach misses important information about how stable that state is. Using computer models of the whole brain, the authors show that the stability of a conscious state—how easily it can be disrupted—provides additional, complementary information. They propose a new framework that sorts brain states by both their similarity to wakefulness and their stability, which helps distinguish between different types of unconsciousness: natural sleep, anesthesia, and brain injury. This framework offers a more complete way to characterize and differentiate states of consciousness.