Journal of neural engineering
June 10, 2025
Daniel Polyakov, P A Robinson, Eli J Müller et al.
2 citations
A computational method uses a simplified brain model fitted to a patient's EEG power spectrum to design personalized electrical stimulation signals. In computer simulations, these signals induce healthy-like brain activity patterns in models of people with disorders of consciousness. When the model's parameters were near a stability boundary, stimulation caused a lasting change in activity beyond the stimulation period. The approach may activate plasticity mechanisms during long-term treatment, potentially leading to sustained improvements. Further clinical adjustments and validation are needed, but the method holds promise for improving therapeutic outcomes in disorders of consciousness and may extend to other neurological conditions.
OBM Integrative and Complementary Medicine
March 5, 2025
Gaëtan Collignon, Aminata Bicego, Marie-élisabeth Faymonville et al.
2 citations
A 68-year-old man with chronic pain from an open Spina Bifida at L4-L5 used auto-induced cognitive trance (AICT) to manage his condition. After four days of training, pain intensity, anxiety, and depression slightly decreased; most attitudes and beliefs improved; the mental component of quality of life improved while the physical component decreased, and the patient reported his overall health had worsened. Qualitative analysis of his diary over two months revealed themes including trance characteristics, pain location, difficulties with practice, and medical history. The findings suggest AICT may alter subjective pain experience, but its effects on physical health and global well-being were mixed.
The International journal of clinical and experimental hypnosis
January 1, 2025
Aminata Bicego, Naji Alnagger, Etzel Cardeña et al.
1 citation
Auto-induced cognitive trance (AICT) can produce mystical-type experiences in healthy individuals, with 29% of participants reporting such experiences during AICT compared to none during a rest condition. The study examined twenty-seven people who could self-induce AICT, measuring their religious and spiritual practices and paranormal beliefs beforehand. Participants completed five conditions including rest, imagination, and AICT with or without auditory stimulation. The intensity of the AICT experience and features resembling near-death experiences were linked to mystical-type experiences only during AICT. This is the first demonstration that AICT, a technique distinct from hypnosis or meditation, can induce mystical-type experiences outside life-threatening situations.
Neuroscience of consciousness
January 1, 2025
Daniel Polyakov, P A Robinson, Avigail Makbili et al.
Neural field theory (NFT) can model brain activity across different states of consciousness. By fitting a corticothalamic NFT model to EEG data from healthy individuals and patients with disorders of consciousness, researchers identified correlations between NFT parameters and features of both experimental and simulated EEG. These correlations distinguish healthy from impaired consciousness and point to potential physiological biomarkers. The findings clarify how consciousness levels are represented in the NFT framework and highlight its value for in-silico experimentation in consciousness research.
Frontiers in psychiatry
January 1, 2023
Yan Li, Yan Chen, Charlotte Martial et al.
A Chinese version of the Near-Death Experience Content (NDE-C) scale was translated and validated on 79 near-death experience testimonies. The translation used Brislin's back-translation model, and the scale showed good internal consistency (Cronbach's α = 0.846). Confirmatory factor analysis supported the scale's structure. This new Chinese NDE-C scale is now available to screen people who have had near-death experiences or near-death-like experiences (e.g., from meditation) and to quantify their subjective experiences, enabling further research on this phenomenon in Eastern cultural contexts.
SSRN Electronic Journal
Robin Sandell, Adele Lafrance, Olivia Gosseries et al.
In three people with incomplete spinal cord injuries who self-medicated with psilocybin, improvements in motor function, muscle activation, and strength were reported. One person with a C4–C5 injury noted better gait automaticity; another with a T7 injury regained activation of a previously non-responsive hamstring muscle; a third with a T12 injury experienced rapid strength gains and enhanced proprioceptive awareness. All three reported psychological benefits such as increased wellbeing, motivation for recovery, and improved adjustment. Benefits appeared greatest in partially innervated muscles and diminished after stopping psilocybin. Temporary spasticity was the only adverse effect. The authors suggest psilocybin may enhance recovery by amplifying existing neural pathways and call for controlled clinical trials.
bioRxiv Preprint Server
October 27, 2024
Daniel Polyakov, P.a. Robinson, Avigail Makbili et al.
preprint
Neural field theory (NFT) may serve as a computational framework for representing states of consciousness, though its parameters' connection to consciousness levels is not yet clear. Prior work has shown NFT can distinguish normal from pathological consciousness states.
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.