Neuroimage
February 15, 2021
Andrea I. Luppi, Robin Carhart-Harris, Leor Roseman et al.
186 citations
LSD alters brain network dynamics non-uniformly over time, making globally segregated connectivity states more complex and weakening the link between functional and anatomical connectivity. The drug reduces functional connectivity in the anterior medial prefrontal cortex specifically during states of high segregation. Ego dissolution was predicted by increased small-world organization during a state of high global integration. These temporally-specific effects reveal a more nuanced picture of psychedelic-induced changes in brain connectivity and complexity than previously reported.
Nature Communications
October 3, 2022
S Parker Singleton, Andrea I. Luppi, Robin Carhart-Harris et al.
156 citations
Psychedelics like LSD and psilocybin temporarily alter subjective experience by acting on serotonin 2a (5-HT2a) receptors, increasing the diversity (entropy) of brain activity. This increase may arise from a flattening of the brain's control energy landscape. Using fMRI data, the authors show that these compounds reduce the control energy needed for transitions between brain states compared to placebo. Across individuals, lower control energy correlates with more frequent state transitions and higher entropy. Incorporating PET data on 5-HT2a receptor distribution under non-drug conditions, the analysis links these receptors to reduced control energy. The findings demonstrate that receptor-informed network control theory can model how neuropharmacological manipulation affects brain dynamics.
Communications Biology
January 28, 2023
Andrea I. Luppi, Jakub Vohryzek, Morten L. Kringelbach et al.
98 citations
Consciousness depends on how tightly brain function follows the brain's physical wiring. Using MRI scans, researchers measured structure-function coupling across spatial scales in people who were unconscious from anesthesia or brain injury and in people under psychedelics (LSD or ketamine). During loss of consciousness, function more closely tracked the brain's structural connections, a signature that could distinguish behaviorally similar brain-injured patients and detect covert consciousness. In contrast, psychedelics decoupled function from structure, and this decoupling correlated with physiological and subjective scores. The findings suggest that connectome harmonic decomposition reveals how neuromodulation and network architecture jointly shape consciousness.
Scientific Reports
January 23, 2020
Thomas F. Varley, Andrea I. Luppi, Ioannis Pappas et al.
86 citations
Measures of algorithmic and process complexity, applied to functional MRI BOLD signals from individuals under propofol sedation, vary in their ability to distinguish sedation levels. Temporal complexity measures are more sensitive than topological ones. All measures strongly relate to a single underlying construct—termed 'overall complexity'—which explains most variance in the data, as assessed by principal component analysis. This overall complexity discriminates between sedation levels and propofol serum concentrations, supporting the idea that consciousness is linked to complexity, regardless of how complexity is measured.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
May 23, 2022
Pedro A. M. Mediano, Fernando E. Rosas, Andrea I. Luppi et al.
73 citations
Emergence—how galaxies form or consciousness arises from neurons—lacks formal tools for rigorous study. This article summarizes, elaborates, and extends a recent formal theory of causal emergence based on information decomposition, which is quantifiable and empirically testable. The theory links emergence to information about a system's temporal evolution that cannot be obtained from its parts separately. The article provides an accessible but rigorous introduction to this framework, discussing its merits in various scenarios, interpretation issues, and potential misunderstandings, highlighting the distinctive benefits of this formalism.
Human Brain Mapping
March 19, 2021
Andrea I. Luppi, Daniel Golkowski, Andreas Ranft et al.
72 citations
The human brain alternates between states of high integration and segregation, which are thought to support consciousness. Using dynamic functional connectivity and graph theory on resting-state fMRI data from healthy volunteers, the authors show that the integrated state is especially vulnerable to the anaesthetic sevoflurane. At higher doses (3% vol and burst-suppression), anaesthesia reduces the complexity and small-world character of integrated brain states and disrupts the temporal balance between integration and segregation. These effects reverse upon recovery, linking them to consciousness. Reduced anticorrelations between the default mode and executive control networks also reconfigure dynamically depending on the brain's integration state. The breakdown of the integrated sub-state may serve as a generalisable biomarker of loss and recovery of consciousness.
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.
bioRxiv
November 26, 2020
Andrea I. Luppi, Pedro A. M. Mediano, Fernando E. Rosas et al.
49 citations
preprint
The brain coordinates information from many sources to create a unified conscious experience. Combining network science and information theory, the authors identify a “synergistic global workspace” where gateway regions gather synergistic information from specialized brain modules, integrate it, and then broadcast it widely via broadcaster regions. Functional MRI shows that gateway regions correspond to the default mode network and broadcasters to the executive control network. Loss of consciousness from general anesthesia or disorders of consciousness reduces the workspace’s ability to integrate information, which is restored upon recovery. This work reconciles aspects of the Global Neuronal Workspace and Integrated Information Theory.
Nature Communications
March 11, 2024
Andrea I. Luppi, Lynn Uhrig, Jordy Tasserie et al.
43 citations
Loss of consciousness under anesthesia increasingly constrains brain activity to follow the brain's physical structure, collapsing hierarchical cortical organization across scales. This effect was observed with three different anesthetics—propofol, sevoflurane, and ketamine—and was reversed by electrically stimulating the central thalamus, which also restored behavioral signs of arousal. Stimulating the ventral lateral thalamus did not produce these effects, showing specificity. The findings identify distributed brain signatures of consciousness that are orchestrated by particular thalamic nuclei.
Neuroscience of Consciousness
November 1, 2021
Andrea I. Luppi, Pedro A. M. Mediano, Fernando E. Rosas et al.
42 citations
Consciousness can be better understood by decomposing it into distinct information-theoretic elements rather than measuring it as a single quantity of integrated information. The authors propose Integrated Information Decomposition (ΦID), which provides a formal argument that whether consciousness is an emergent phenomenon depends on its information-theoretic composition. Two organisms may have the same amount of integrated information yet differ in composition. A new measure, ΦR, and the ΦR-ing ratio quantify how efficiently information is used for conscious processing. This approach enables identification of qualitatively different 'modes of consciousness' and mapping them to phenomenology, starting with selfhood. ΦID offers new ways to explore the relationship between information, consciousness, and neural dynamics.
Neuroimage
July 1, 2022
Fran Hancock, Joana Cabral, Andrea I. Luppi et al.
40 citations
Dynamic functional connectivity (dFC) in resting-state fMRI is promising for clinical biomarkers, but its reliability and interpretability are debated. This study combined phase-based dFC metrics from dynamical systems, stochastic processes, and information dynamics to assess their interrelationships and reliability. Novel relationships between metrics allowed building a predictive model for integrated information. Global metastability, reflecting simultaneous coupling and decoupling tendencies, was the most representative and stable metric in brain parcellations including cerebellar regions. Spatiotemporal patterns of phase-locking changed slowly and continuously over time. The findings suggest that most resting-state fMRI dynamics reflect an interrelated complexity profile unique to each acquisition, challenging cross-sectional designs for neuromarker discovery and indicating individual life-trajectories may be more informative.
bioRxiv (Cold Spring Harbor Laboratory)
May 17, 2021
S. Parker Singleton, Andrea I. Luppi, Robin Carhart-Harris et al.
30 citations
preprint
LSD and psilocybin reduce the amount of energy the brain needs to transition between different activity states, as measured by functional MRI. This flattening of the brain's control energy landscape allows for more frequent state transitions and more diverse (entropic) brain activity. The effects are linked to the spatial distribution of serotonin 2a receptors, the main target of these psychedelics. The findings suggest that these compounds make brain state transitions more facile and temporally diverse, offering a mechanistic explanation for the altered subjective experience induced by psychedelics.
Network Neuroscience
January 1, 2022
Josephine Cruzat, Yonatan Sanz Perl, Anira Escrichs et al.
28 citations
Psychedelic drugs like LSD and psilocybin may treat neuropsychiatric disorders by dose-dependently altering the brain's functional hierarchy—the organization of neural activity across regions. Using a turbulence framework that measures local synchronization (vorticity) in both space and time, researchers found that both drugs produce consistent and distinct effects, particularly compressing the default mode network, a higher-level network. These findings support the hypothesis that psychedelics modulate the functional hierarchy and provide a quantitative comparison of how LSD and psilocybin change brain dynamics, with implications for therapeutic use.
bioRxiv (Cold Spring Harbor Laboratory)
August 10, 2020
Andrea I. Luppi, Jakub Vohryzek, Morten L. Kringelbach et al.
26 citations
preprint
Consciousness arises from how the brain's structural wiring shapes its dynamic activity. By decomposing resting-state fMRI data into harmonic modes of the human structural connectome, a generalizable signature of lost consciousness emerges—whether from anesthesia or brain injury—while a reversed signature characterizes psychedelic states induced by LSD or ketamine, reflecting decoupling of function from structure. This connectome harmonic approach discriminates between behaviorally indistinguishable brain-injured patients and tracks covert consciousness, linking neurobiology to conscious experience.
Brain
January 1, 2024
Andrea I. Luppi, Manesh Girn, Fernando E. Rosas et al.
25 citations
Serotonin 2A receptor (5-HT2AR) signaling drives both the evolutionary expansion and ongoing modulation of the human cerebral cortex's most complex cognitive centers. The cortex is organized along a gradient from simple sensory processing to high-level integration, with the transmodal cortex at the apex—a region disproportionately enlarged in humans and rich in 5-HT2AR expression. During early brain development, 5-HT2AR signaling on neural progenitor cells stimulates their proliferation, contributing to cortical expansion. In the adult brain, 5-HT2AR agonism promotes neuroplasticity, learning, and cognitive flexibility with therapeutic potential. The receptor thus plays a dual role in enabling cortical growth and sophisticated functioning.
Trends in Neurosciences
May 31, 2024
Andrea I. Luppi, Fernando E. Rosas, Pedro A. M. Mediano et al.
23 citations
Unconsciousness increases the coupling between brain structure and function across scales, while psychedelics may decouple brain function from structure. Anaesthetics, psychedelics, and disorders of consciousness can produce similar reconfigurations along the brain's unimodal-transmodal functional axis. Decomposing brain function into fundamental constituents of time, space, and information has driven recent advances in understanding consciousness and the brain's functional organisation. Computational modelling offers a path toward mechanistic integration, and decomposition approaches may help translate discoveries across species.
Communications Biology
September 30, 2024
Pablo Castro, Andrea I. Luppi, Enzo Tagliazucchi et al.
21 citations
Brain activity during unconsciousness, whether from general anaesthesia or slow wave sleep, is dominated by a recurrent functional connectivity pattern primarily mediated by structural connectivity and with a reduced capacity to transition to other patterns. Conscious awareness is characterized by richer brain dynamics measured by entropy and a greater repertoire of connectivity states. These findings suggest that the dynamic exploration of functional connectivity states provides robust and generalizable markers for the state of consciousness across different conditions.
bioRxiv (Cold Spring Harbor Laboratory)
May 12, 2023
Christopher Timmermann, Emma Eckernäs, Leor Roseman et al.
17 citations
preprint
The serotonergic psychedelic DMT rapidly induces a profoundly immersive altered state lasting less than 20 minutes, allowing the entire drug experience to be captured during a single fMRI scan. Using network control theory, which quantifies the input needed to drive transitions between brain states, brain structure and function were integrated to map energy trajectories of 14 individuals undergoing fMRI during DMT and placebo. Global control energy was reduced following DMT compared to placebo. Longitudinal trajectories of global control energy correlated with EEG signal diversity and subjective drug intensity ratings. Regional effects correlated with serotonin 2a receptor density. Receptor distribution and pharmacokinetic information successfully recapitulated DMT's effects on global control energy trajectories.
Preprints.org
July 21, 2023
Fran Hancock, Fernando E. Rosas, Mengsen Zhang et al.
16 citations
preprint
Healthy brain function requires a balance between stable integration across brain areas for coordinated activity and brief periods of desynchronization that allow subsystems to reconfigure and express specialized functions. Metastability, a concept from statistical physics and dynamical systems theory, has been proposed as a key signature of this balance. Neuroscience research has used markers of metastability to study cognitive performance, healthy aging, meditation, sleep, responses to drugs, and to characterize psychiatric conditions and disorders of consciousness. However, the term is often used heuristically or inaccurately, making the literature difficult to navigate. This paper provides a comprehensive review of metastability in neuroscience, covering its scientific and historical foundations, practical estimators, and a critical analysis of recent theoretical developments to clarify misconceptions.
bioRxiv (Cold Spring Harbor Laboratory)
November 9, 2023
Fernando E. Rosas, Pedro A. M. Mediano, Christopher Timmermann et al.
14 citations
preprint
Autonomic signals can reveal aspects of subjective and neural states. A Bayesian framework estimated heart rate entropy under psychedelics. Across four drugs—LSD, DMT, psilocybin, and ketamine—mean heart rate, high-frequency heart rate variability, and heart rate entropy consistently increased during the psychedelic experience. These changes predicted various dimensions of the experience. Heart rate entropy increases correlated with brain entropy increases, while other autonomic markers did not. Cost-efficient autonomic measures can reveal detail about subjective and brain states, opening new research avenues in neuroscience.
Pedro A. M. Mediano, Fernando E. Rosas, Andrea I. Luppi et al.
10 citations
A new method called Complexity via State-space Entropy Rate (CSER) estimates neural signal complexity with better temporal resolution and spectral decomposition than the standard Lempel-Ziv complexity (LZ) approach. CSER matches LZ in distinguishing conscious states but offers two key advantages: it can break complexity down by frequency bands, and it provides temporal resolution about 100 times finer. Using MEG, EEG, and ECoG data from humans and monkeys, CSER revealed that gamma-band activity primarily drives complexity changes across states of consciousness. In an auditory mismatch negativity experiment, CSER detected early entropy increases roughly 20 milliseconds before the standard event-related potential. This method enables finer-grained study of how signal complexity relates to cognitive processes and conscious states.
Imaging Neurosci (Camb)
January 3, 2025
Kenneth Shinozuka, Prejaas K.b. Tewarie, Andrea I. Luppi et al.
9 citations
LSD weakens the brain's usual hierarchy of information flow by making neural communication more balanced between sending and receiving signals. Using magnetoencephalography (MEG) data from 16 healthy adults given 75 micrograms of LSD intravenously, researchers measured directed functional connectivity under four conditions (eyes-closed with or without music, eyes-open with or without video). Across the whole brain, LSD reduced the asymmetry of directed connectivity over time. Machine learning classifiers distinguished LSD from placebo more accurately using hierarchy metrics than traditional connectivity measures. These results indicate that LSD flattens the brain's hierarchical information processing by increasing the balance between senders and receivers of neural signals.
bioRxiv (Cold Spring Harbor Laboratory)
May 31, 2024
Jakub Vohryzek, Selen Atasoy, Gustavo Deco et al.
8 citations
preprint
Psychedelic substances like DMT, psilocybin, LSD, and ketamine alter brain function by reshaping the repertoire of connectome harmonics—patterns of neural activity that depend on the brain's structural network of white matter pathways. Under DMT, the entropy of these harmonics increases, indicating a more diverse range of brain states. For the first time, changes in the energy spectrum and entropy of connectome harmonics were shown to track the intensity of subjective experience in real time, suggesting a close link between the brain's harmonic activity and conscious experience.
Communications Biology
April 18, 2025
S Parker Singleton, Christopher Timmermann, Andrea I. Luppi et al.
7 citations
After DMT injection, the brain requires less control energy to transition between states compared to placebo, indicating a more flexible and less constrained brain dynamic. These energy changes track with EEG signal diversity and subjective intensity of the drug experience. The regional pattern of DMT's effects aligns with serotonin 2a receptor density, and a model using receptor distribution and pharmacokinetics can predict the drug's impact on brain energy trajectories.
bioRxiv (Cold Spring Harbor Laboratory)
April 28, 2024
Kenneth Shinozuka, Prejaas K.b. Tewarie, Andrea I. Luppi et al.
5 citations
preprint
LSD weakens the brain's directed connectivity hierarchy by increasing the balance between senders and receivers of neural signals. This finding supports the REBUS theory, which proposes that psychedelics flatten the hierarchy of information flow in the brain. Analyzing magnetoencephalography data from 16 healthy participants given 75 micrograms of intravenous LSD, the study found that LSD diminishes the asymmetry of directed connectivity averaged over time. Machine learning classifiers distinguished LSD from placebo more accurately when trained on hierarchy metrics than on traditional functional connectivity measures.