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.
Science Advances
June 14, 2023
Leor Roseman, Christopher Timmermann, Daniel Golkowski et al.
65 citations
The effects of mind-altering drugs on brain function arise from complex interactions with multiple neurotransmitter systems, not just one. By linking the distribution of 19 neurotransmitter receptors and transporters (measured with PET) to changes in functional connectivity (measured with fMRI) caused by 10 drugs—anesthetics (propofol, sevoflurane, ketamine), psychedelics (LSD, psilocybin, DMT, ayahuasca), and others (MDMA, modafinil, methylphenidate)—the work shows a many-to-many mapping between drug effects and neurotransmitter systems. The drugs' impacts follow hierarchical gradients of brain structure and function, and regional susceptibility to drug-induced changes mirrors susceptibility to structural alterations from brain disorders.
International Anesthesiology Clinics
January 1, 2008
Pierre Boveroux, Vincent Bonhomme, Mélanie Boly et al.
44 citations
A peer-reviewed article examines the intersection of medicine, consciousness, and brain function, focusing on altered states such as those arising from cardiovascular syncope, autonomic disorders, hallucinations in medical conditions, and traumatic brain injury with neurovascular disturbances. The work discusses how these conditions affect cognitive science, psychology, and legal implications, without presenting a single empirical finding or specific numerical data. The argument integrates neuroscience and philately as a metaphor for collecting insights, suggesting that altered states of consciousness can inform understanding of brain function and autonomic regulation.
Nature reviews. Neurology
June 1, 2025
Charlotte Martial, Pauline Fritz, Olivia Gosseries et al.
19 citations
Near-death experiences (NDEs) are episodes of disconnected consciousness with prototypical mystical features, often occurring during actual or perceived physical threat. Various explanatory theories have been proposed, but integration has been limited. Converging evidence from neuroscience—including non-human studies, psychedelic-induced mystical experiences, and research on the dying brain—now offers a comprehensive explanation. This Review discusses psychological and neurophysiological processes underlying NDEs, including cellular and electrophysiological brain network changes and neurotransmitter alterations. The authors propose a model encompassing a cascade of concomitant processes within an evolutionary framework and consider how NDE research informs debates on consciousness emergence near brain death.
iScience
January 17, 2025
Paolo Cardone, Arthur Bonhomme, Vincent Bonhomme et al.
9 citations
In a small double-blind, placebo-controlled, cross-over trial with three adults who had prolonged disorders of consciousness after a coma, an intravenous sub-anesthetic dose of the atypical psychedelic ketamine increased brain complexity as measured by Lempel-Ziv complexity, but did not change the explainable consciousness indicator. Patients showed reduced spastic paresis and spent more time with their eyes open, yet their diagnosis of consciousness did not improve. No adverse effects occurred. The findings suggest a potential therapeutic role for ketamine in disorders of consciousness and support a link between brain complexity and conscious states.
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.
bioRxiv (Cold Spring Harbor Laboratory)
July 13, 2022
Andrea I. Luppi, Justine Y. Hansen, R. Adapa et al.
5 citations
preprint
Psychoactive drugs reshape brain function by engaging multiple neurotransmitter systems simultaneously. By mapping the distribution of 19 neurotransmitter receptors and transporters (via PET) and the connectivity changes caused by 10 drugs (anesthetics, psychedelics, and stimulants), the study shows that drug effects are organized along hierarchical gradients of brain structure and function. Additionally, brain regions susceptible to drug-induced changes are also vulnerable to structural alterations from brain disorders. These findings reveal systematic links between molecular neurochemistry and large-scale functional reorganization.
British journal of anaesthesia
April 1, 2025
Milan Van Maldegem, Jakub Vohryzek, Selen Atasoy et al.
3 citations
Ketamine, at anesthetic doses, produces a state where people are unresponsive yet often report vivid inner experiences, separating conscious awareness from behavioral responsiveness. Using connectome harmonic decomposition on fMRI data, researchers found that brain signals during ketamine-induced unresponsiveness show increased fine-grained spatial patterns, indicating higher neural granularity. This harmonic signature aligned with those of LSD-induced and ketamine-induced psychedelic states, but misaligned with signatures from unconscious individuals due to propofol sedation or brain injury. The method can track changes in conscious awareness even when behavior is absent, offering a tool for consciousness and anesthesia research.
bioRxiv (Cold Spring Harbor Laboratory)
August 19, 2024
Naji Alnagger, Paolo Cardone, Charlotte Martial et al.
3 citations
preprint
Disorders of consciousness, such as unresponsive wakefulness syndrome (UWS) and minimally conscious state (MCS), have few treatments. Using whole-brain computational models built from individual patients' fMRI and diffusion-weighted imaging data, this virtual clinical trial simulated the effects of LSD and psilocybin. The psychedelics shifted the brains of patients with disorders of consciousness closer to a critical dynamical state, with a larger effect in MCS patients. In UWS patients, the treatment response depended on structural connectivity, whereas in MCS patients it aligned with baseline functional connectivity. These results provide a computational foundation for considering psychedelics in treating disorders of consciousness and highlight the role of computational modeling in drug discovery and personalized medicine.
Advanced Science
November 20, 2025
Paolo Cardone, Charlotte Martial, Yonatan Sanz Perl et al.
2 citations
Simulated administration of LSD and psilocybin in computational models of patients with disorders of consciousness (DoC), including unresponsive wakefulness syndrome (UWS) and minimally conscious state (MCS), shifted brain activity closer to criticality—the phase transition between order and chaos. The effect was greater in MCS patients. In UWS patients, the treatment response correlated with structural connectivity, while in MCS patients it aligned with baseline functional connectivity. These results provide a computational foundation for using psychedelics in DoC treatment and highlight the potential role of computational modeling in drug discovery and personalized medicine.
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.
bioRxiv (Cold Spring Harbor Laboratory)
June 25, 2024
Milan van Maldegem, Jakub Vohryzek, Selen Atasoy et al.
2 citations
preprint
Ketamine, a dissociative anesthetic, produces different brain dynamics at anesthetic versus sub-anesthetic doses. Using connectome harmonic decomposition (CHD) to analyze resting-state fMRI data from volunteers during ketamine-induced unresponsiveness, the study found increased prevalence of localized harmonics, similar to patterns seen in psychedelic states induced by LSD or psilocybin. This contrasts with traditional GABAergic sedation (e.g., propofol), where global harmonics increase with higher doses. The results indicate that ketamine-induced unresponsiveness does not necessarily suppress conscious experience and influences connectome harmonics oppositely to GABAergic hypnotics. CHD may track alterations in conscious awareness rather than behavioral responsiveness.
bioRxiv Preprint Server
June 7, 2026
Andrea I. Luppi, Dragana Manasova, Justine Y. Hansen et al.
preprint
Functional connectivity in the awake human brain is shaped primarily by cognitive co-activation—the tendency of brain regions to work together during mental tasks—more than by structural or molecular constraints. This predominance is systematically lost across five datasets involving pharmacological and pathological perturbations of consciousness (chronic disorders of consciousness; anesthesia with sevoflurane, propofol, or ketamine), when cognition is disconnected from the environment or abolished. During such states, the predictors of functional architecture shift away from cognitive co-activation and toward anatomical and molecular constraints.
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.
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.