bioRxiv (Cold Spring Harbor Laboratory)
March 5, 2026
Venkatesh Subramani, Annalisa Pascarella, Jérémy Brunel et al.
Abstract Psychedelics profoundly alter conscious experience, yet how they reshape the relationship between brain anatomy and function remains unclear. In particular, it is unknown whether psychedelic states reflect a global disruption of structure–function organization or a frequency– and network-specific reconfiguration of neural dynamics relative to the structural connectome. Here we address...
bioRxiv (Cold Spring Harbor Laboratory)
January 29, 2026
Venkatesh Subramani, Timothy Nest, Annalisa Pascarella et al.
1 citation
Abstract Lysergic acid diethylamide (LSD) profoundly alters conscious experience, yet the electrophysiological mechanisms by which it reshapes neural dynamics remain incompletely understood. A hallmark of psychedelic states is widespread cortical desynchronization, typically inferred from reductions in spectral power, but whether such effects reflect genuine weakening of neural oscillations or...
arXiv (Cornell University)
September 23, 2025
Victor Oswald, Karim Jerbi, Corine Sombrun et al.
Non-ordinary states of consciousness (NOC) provide an opportunity to experience highly intense, unique, and perceptually rich subjective states. The neural mechanisms supporting these experiences remain poorly understood. This study examined brain activity associated with a self-induced, substance-free NOC known as Auto-Induced Cognitive Trance (AICT). Twenty-seven trained participants...
Expanded
September 3, 2025
Antoine Bellemare‐Pepin, Philipp Thölke, Karim Jerbi et al.
Oneiris is an interactive, AI-augmented brain-computer interface installation that explores personal and collective dreamscapes through generative artificial intelligence, real-time electroencephalography (EEG) neurofeedback, and Indigenous symbolic systems. Participants wear a wireless EEG headset and contribute dream narratives and hand-drawn sketches on a digital tablet. These inputs are...
Int J Clin Health Psychol
2025
Victor Oswald, Karim Jerbi, Corine Sombrun et al.
4 citations
Understanding individual differences in non-ordinary state of consciousness: Relationship between phenomenological experiences and autonomic nervous system.
Neuroscience of Consciousness
2025
Annalisa Pascarella, Philipp Thölke, David Meunier et al.
While the beneficial impacts of meditation are increasingly acknowledged, its underlying neural mechanisms remain poorly understood. We examined the electrophysiological brain signals of expert Buddhist monks during two established meditation methods known as Samatha and Vipassana, which employ focused attention and open-monitoring technique. By combining source-space magnetoencephalography...
The Journal of Creative Behavior
December 24, 2024
Antoine Bellemare‐Pepin, Karim Jerbi
4 citations
ABSTRACT Creativity is a cornerstone of human evolution and is typically defined as the multifaceted ability to produce novel and useful artifacts. Although much research has focused on divergent thinking, growing evidence underscores the importance of perceptual processing in fostering creativity, particularly through perceptual flexibility. The present work aims to offer a framework that...
Communications Biology
August 5, 2024
Charlotte Maschke, Jordan O'Byrne, Michele Angelo Colombo et al.
50 citations
Consciousness has been proposed to be supported by electrophysiological patterns poised at criticality, a dynamical regime which exhibits adaptive computational properties, maximally complex patterns and divergent sensitivity to perturbation. Here, we investigate dynamical properties of the resting-state electroencephalogram (EEG) of healthy subjects undergoing general anesthesia with propofol,...
Frontiers in Neuroscience
February 2, 2024
Antea D’Andrea, Pierpaolo Croce, Jordan O’Byrne et al.
13 citations
BackgroundThe investigation of mindfulness meditation practice, classically divided into focused attention meditation (FAM), and open monitoring meditation (OMM) styles, has seen a long tradition of theoretical, affective, neurophysiological and clinical studies. In particular, the high temporal resolution of magnetoencephalography (MEG) or electroencephalography (EEG) has been exploited to...
bioRxiv : the preprint server for biology
October 31, 2023
Charlotte Maschke, Jordan O'Byrne, Michele Angelo Colombo et al.
7 citations
preprint
Consciousness has been proposed to be supported by electrophysiological patterns poised at criticality, a dynamical regime which exhibits adaptive computational properties, maximally complex patterns and divergent sensitivity to perturbation. Here, we investigated dynamical properties of the resting-state electroencephalogram of healthy subjects undergoing general anesthesia with propofol,...
Scientific Reports
September 22, 2023
Victor Oswald, Audrey Vanhaudenhuyse, Jitka Annen et al.
24 citations
Self-induced cognitive trance (SICT) is a voluntary non-ordinary state of consciousness characterized by a lucid yet narrowed awareness of the external surroundings. It involves a hyper-focused immersive experience of flow, expanded inner imagery, modified somatosensory processing, and an altered perception of self and time. SICT is gaining attention due to its potential clinical applications....
Frontiers in Human Neuroscience
2017
Raphael Vallat, Tarek Lajnef, Jean-Baptiste Eichenlaub et al.
High dream recallers (HR) show a larger brain reactivity to auditory stimuli during wakefulness and sleep as compared to low dream recallers (LR) and also more intra-sleep wakefulness (ISW), but no other modification of the sleep macrostructure. To further understand the possible causal link between brain responses, ISW and dream recall, we investigated the sleep microstructure of HR and LR,...
Arna Ghosh, Arthur Dehgan, Tarek Lajnef et al.
Dreams and our ability to recall them are among the most puzzling questions in sleep research. Specifically, putative differences in brain network dynamics between individuals with high versus low dream recall rates, are still poorly understood. In this study, we addressed this question as a classification problem where we applied deep convolutional networks (CNN) to sleep EEG recordings to...