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Pablo Barttfeld

5 papers in the library · 569 citations · publishing 2019-2026

Papers

Human consciousness is supported by dynamic complex patterns of brain signal coordination

Science Advances February 1, 2019 Athena Demertzi, Enzo Tagliazucchi, Stanislas Dehaene et al. 545 citations

Consciousness depends on the brain's ability to sustain rich, dynamic patterns of signal coordination. Using functional magnetic resonance imaging, a complex pattern of coordinated and anticoordinated signals characterized healthy individuals and minimally conscious patients. Unresponsive patients showed low interareal phase coherence mainly mediated by structural connectivity, with fewer transitions between patterns. This complex pattern was also seen in patients with covert cognition who could perform mental imagery tasks, validating its link to consciousness. Anesthesia increased the probability of the less complex pattern to levels seen in unresponsive patients, confirming its role in unconsciousness. These results establish generalizable fingerprints of conscious and unconscious states after brain damage.

fMRI lag structure during waking up from early sleep stages.

Cortex; a journal devoted to the study of the nervous system and behavior September 1, 2021 Santiago Alcaide, Jacobo Sitt, Tomoyasu Horikawa et al. 13 citations

Waking up from early sleep involves a two-stage brain process. First, subcortical and sensorimotor structures activate before most cortical regions, followed by rapid whole-brain activation, with frontal regions engaging slightly later. A second, slower stage may then occur, where cortical regions activate before subcortical structures and the cerebellum. This pattern suggests subcortical structures play a key role in initiating and maintaining conscious states.

A consensus taxonomy of altered (nonordinary) states of consciousness: Bringing order to disarray.

Psychology of Consciousness Theory Research and Practice June 12, 2025 Etzel Cardeña, Aviva Berkovich‐ohana, Katja Valli et al. 11 citations

A multidisciplinary, international group used taxonomic principles and a modified Delphi method to create a taxonomy of altered states of consciousness based on central phenomenological features. They identified eight distinct states, some with subcategories: proto and transitional, delirium, minimal to no awareness, experiential detachment, enhanced physicality, altered identity, imaginary/fantasy/visionary, and unity/mystical. The authors hope this taxonomy will foster conceptual clarity and stimulate research across specializations, helping reveal what is common and different across triggers and antecedents of altered states, and encouraging phenomenological, psychological, cultural, and neuroscientific understanding.

The Neurophenomenology of a Self-Induced Transcendental Visionary State: A Case Study.

NeuroImage February 4, 2026 Gabriel Della Bella, Agustina Velez Picatto, Dante Sebastián Galván Rial et al.

A participant who can reliably enter a self-induced non-ordinary state of consciousness (NOC) characterized by vivid imagery, altered bodily perception, and a sense of unity underwent 20 fMRI sessions. Compared to a control group, during the transition into the NOC state, functional connectivity became more variable, indicating temporary destabilization of network organization. In the NOC state, connectivity between brain networks broadly decreased, especially visual cortex coupling with auditory, sensorimotor, and other regions, while frontoparietal and salience networks increased coupling with precuneus and temporal areas, matching reports of inward attention and absorption. Entropy and complexity measures tracked the experience and returned to baseline afterward.

A Shared Entropic Axis Spans States of Consciousness Across Pharmacological and Clinical Conditions

bioRxiv Preprint Server June 12, 2026 Dante Sebastián Galván Rial, Gabriel A. Della Bella, Lorina Naci et al. preprint

States of consciousness can be ordered along a single dimension defined by the entropy of spontaneous neural activity, as proposed by the Entropic Brain Theory. Applying the same analytical pipeline to pharmacological (psychedelics, modafinil, propofol anaesthesia) and clinical (schizophrenia) fMRI datasets, the temporal irregularity of brain network topology was quantified. Propofol anaesthesia occupied the low-entropy end; psychedelic states and schizophrenia occupied the high end. This ordering tracks combined modulations of the level and content of consciousness, from reduced awareness under anaesthesia to heightened arousal and expanded experience under psychedelics and disorganised processing in schizophrenia. The result was not reducible to fluctuations in mean functional connectivity and was supported by convergent reorganisation of higher-order association cortex.