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Morten L. Kringelbach

University of Oxford, Aarhus University

65 papers in the library · 2,360 citations · publishing 2011-2026

Papers

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Deep learning the arrow of time in brain activity: characterising brain-environment behavioural interactions in health and disease

bioRxiv (Cold Spring Harbor Laboratory) July 4, 2021 Gustavo Deco, Yonatan Sanz Perl, Jacobo Sitt et al. 16 citations preprint

Abstract The complex intrinsic and extrinsic forces from the body and environment push the brain into non-equilibrium. The arrow of time, central to thermodynamics in physics, is a hallmark of non-equilibrium and serves to distinguish between reversible and non-reversible dynamics in any system. Here, we use a deep learning Temporal Evolution NETwork (TENET) framework to discover the asymmetry...

Increased sensitivity to strong perturbations in a whole-brain model of LSD.

Neuroimage January 29, 2021 Beatrice M. Jobst, Selen Atasoy, Adrián Ponce-Alvarez et al. 37 citations

Lysergic acid diethylamide (LSD) is a potent psychedelic drug, which has seen a revival in clinical and pharmacological research within recent years. Human neuroimaging studies have shown fundamental changes in brain-wide functional connectivity and an expansion of dynamical brain states, thus raising the question about a mechanistic explanation of the dynamics underlying these alterations....

Non-equilibrium brain dynamics as a signature of consciousness

arXiv Preprint Archive December 19, 2020 Yonatan Sanz Perl, Hernan Bocaccio, Ignacio Perez-Ipina et al.

The cognitive functions of human and non-human primates rely on the dynamic interplay of distributed neural assemblies. As such, it seems unlikely that cognition can be supported by macroscopic brain dynamics at the proximity of thermodynamic equilibrium. We confirmed this hypothesis by investigating electrocorticography data from non human primates undergoing different states of...

Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals

Neuroimage November 1, 2020 Gerald J. Hahn, Gorka Zamora-López, Lynn Uhrig et al. 55 citations

During the sleep-wake cycle, the brain undergoes profound dynamical changes, which manifest subjectively as transitions between conscious experience and unconsciousness. Yet, neurophysiological signatures that can objectively distinguish different consciousness states based are scarce. Here, we show that differences in the level of brain-wide signals can reliably distinguish different stages of...

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 Perez-Ipina et al. preprint

Consciousness transiently fades away during deep sleep, more stably under anesthesia, and sometimes permanently due to brain injury. The development of an index to quantify the level of consciousness across these different states is regarded as a key problem both in basic and clinical neuroscience. We argue that this problem is ill-defined since such an index would not exhaust all the relevant...

Hierarchical disruption in the cortex of anesthetized monkeys as a new signature of consciousness loss

bioRxiv Preprint Server June 4, 2020 Camilo Miguel Signorelli, Lynn Uhrig, Morten L. Kringelbach et al. preprint

Anesthesia induces a reconfiguration of the repertoire of functional brain states leading to a high function-structure similarity. However, it is unclear how these functional changes lead to loss of consciousness. Here we suggest that the mechanism of conscious access is related to a general dynamical rearrangement of the intrinsic hierarchical organization of the cortex. To measure cortical...

Dynamic coupling of whole-brain neuronal and neurotransmitter systems

Proceedings of the National Academy of Sciences April 13, 2020 Morten L. Kringelbach, Josephine Cruzat, Joana Cabral et al. 326 citations

Significance In a technical tour de force, we have created a framework demonstrating the underlying fundamental principles of bidirectional coupling of neuronal and neurotransmitter dynamical systems. Specifically, in the present study, we combined multimodal neuroimaging data to causally explain the functional effects of specific serotoninergic receptor (5-HT 2A R) stimulation with psilocybin...

Modeling regional changes in dynamic stability during sleep and wakefulness

Neuroimage April 11, 2020 Ignacio Perez-Ipina, Patricio Donnelly Kehoe, Morten L. Kringelbach et al. 81 citations

Global brain states are frequently placed within a unidimensional continuum by correlational studies, ranging from states of deep unconsciousness to ordinary wakefulness. An alternative is their multidimensional and mechanistic characterization in terms of different cognitive capacities, using computational models to reproduce the underlying neural dynamics. We explore this alternative by...

Dynamical exploration of the repertoire of brain networks at rest is modulated by psilocybin.

Neuroimage May 25, 2019 Louis-David Lord, Paul Expert, Selen Atasoy et al. 249 citations

Growing evidence from the dynamical analysis of functional neuroimaging data suggests that brain function can be understood as the exploration of a repertoire of metastable connectivity patterns ('functional brain networks'), which potentially underlie different mental processes. The present study characterizes how the brain's dynamical exploration of resting-state networks is rapidly modulated...

Common neural signatures of psychedelics: Frequency-specific energy changes and repertoire expansion revealed using connectome-harmonic decomposition.

Prog Brain Res October 25, 2018 Selen Atasoy, Jakub Vohryzek, Gustavo Deco et al. 67 citations

Common neural signatures of psychedelics: Frequency-specific energy changes and repertoire expansion revealed using connectome-harmonic decomposition.

Whole-Brain Multimodal Neuroimaging Model Using Serotonin Receptor Maps Explains Non-linear Functional Effects of LSD.

Curr Biol September 27, 2018 Gustavo Deco, Josephine Cruzat, Joana Cabral et al. 246 citations

Understanding the underlying mechanisms of the human brain in health and disease will require models with necessary and sufficient details to explain how function emerges from the underlying anatomy and is shaped by neuromodulation. Here, we provide such a detailed causal explanation using a whole-brain model integrating multimodal imaging in healthy human participants undergoing manipulation...

Altered trajectories in the dynamical repertoire of functional network states under psilocybin

bioRxiv (Cold Spring Harbor Laboratory) July 25, 2018 Louis-David Lord, Paul Expert, Selen Atasoy et al. 10 citations preprint

Abstract Brain activity can be understood as the exploration of a dynamical landscape of activity configurations over both space and time. This dynamical landscape may be defined in terms of spontaneous transitions within a repertoire of discrete metastable states of functional connectivity (FC), which underlie different mental processes. However, it remains unclear how the brain’s dynamical...

Connectome-harmonic decomposition of human brain activity reveals dynamical repertoire re-organization under LSD.

Sci Rep December 15, 2017 Selen Atasoy, Leor Roseman, Mendel Kaelen et al. 225 citations

Recent studies have started to elucidate the effects of lysergic acid diethylamide (LSD) on the human brain but the underlying dynamics are not yet fully understood. Here we used 'connectome-harmonic decomposition', a novel method to investigate the dynamical changes in brain states. We found that LSD alters the energy and the power of individual harmonic brain states in a frequency-selective...

Harmonic Brain Modes: A Unifying Framework for Linking Space and Time in Brain Dynamics

The Neuroscientist September 1, 2017 Selen Atasoy, Gustavo Deco, Morten L. Kringelbach et al. 131 citations

A fundamental characteristic of spontaneous brain activity is coherent oscillations covering a wide range of frequencies. Interestingly, these temporal oscillations are highly correlated among spatially distributed cortical areas forming structured correlation patterns known as the resting state networks, although the brain is never truly at "rest." Here, we introduce the concept of harmonic...

Yoga Lessons for Consciousness Research: A Paralimbic Network Balancing Brain Resource Allocation

Frontiers in Psychology 2011 Hans C. Lou, Morten Joensson, Morten L. Kringelbach 18 citations

Consciousness has been proposed to play a key role in shaping flexible learning and as such is thought to confer an evolutionary advantage. Attention and awareness are the perhaps most important underlying processes, yet their precise relationship is presently unclear. Both of these processes must, however, serve the evolutionary imperatives of survival and procreation. They are thus intimately...