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Andrea I. Luppi

40 papers in the library · 1,112 citations · publishing 2019-2026

Papers

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Changes in dynamic transitions between integrated and segregated states underlie visual hallucinations in Parkinson’s disease

Communications Biology September 8, 2022 Angeliki Zarkali, Andrea I. Luppi, Emmanuel A. Stamatakis et al.

Hallucinations are a core feature of psychosis and common in Parkinson’s. Their transient, unexpected nature suggests a change in dynamic brain states, but underlying causes are unknown. Here, we examine temporal dynamics and underlying structural connectivity in Parkinson’s-hallucinations using a combination of functional and structural MRI, network control theory, neurotransmitter density and...

Mapping Pharmacologically-induced Functional Reorganisation onto the Brain’s Neurotransmitter Landscape

bioRxiv (Cold Spring Harbor Laboratory) July 13, 2022 Andrea I. Luppi, Justine Y. Hansen, Ram Adapa et al. 5 citations preprint

Abstract To understand how pharmacological interventions can exert their powerful effects on brain function, we need to understand how they engage the brain’s rich neurotransmitter landscape. Here, we bridge microscale molecular chemoarchitecture and pharmacologically-induced macroscale functional reorganisation, by relating the regional distribution of 19 neurotransmitter receptors and...

Metastability, fractal scaling, and synergistic information processing: What phase relationships reveal about intrinsic brain activity

Neuroimage July 1, 2022 Fran Hancock, Joana Cabral, Andrea I. Luppi et al. 40 citations

Dynamic functional connectivity (dFC) in resting-state fMRI holds promise to deliver candidate biomarkers for clinical applications. However, the reliability and interpretability of dFC metrics remain contested. Despite a myriad of methodologies and resulting measures, few studies have combined metrics derived from different conceptualizations of brain functioning within the same analysis -...

Greater than the parts: a review of the information decomposition approach to causal emergence

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 is a profound subject that straddles many scientific disciplines, including the formation of galaxies and how consciousness arises from the collective activity of neurons. Despite the broad interest that exists on this concept, the study of emergence has suffered from a lack of formalisms that could be used to guide discussions and advance theories. Here, we summarize, elaborate on,...

Whole-brain modelling identifies distinct but convergent paths to unconsciousness in anaesthesia and disorders of consciousness

Communications Biology April 20, 2022 Andrea I. Luppi, Pedro A. M. Mediano, Fernando E. Rosas et al.

The human brain entertains rich spatiotemporal dynamics, which are drastically reconfigured when consciousness is lost due to anaesthesia or disorders of consciousness (DOC). Here, we sought to identify the neurobiological mechanisms that explain how transient pharmacological intervention and chronic neuroanatomical injury can lead to common reconfigurations of neural activity. We developed and...

Effects of classic psychedelic drugs on turbulent signatures in brain dynamics

Network Neuroscience 2022 Josephine Cruzat, Yonatan Sanz Perl, Anira Escrichs et al. 28 citations

Abstract Psychedelic drugs show promise as safe and effective treatments for neuropsychiatric disorders, yet their mechanisms of action are not fully understood. A fundamental hypothesis is that psychedelics work by dose-dependently changing the functional hierarchy of brain dynamics, but it is unclear whether different psychedelics act similarly. Here, we investigated the changes in the...

What it is like to be a bit: an integrated information decomposition account of emergent mental phenomena

Neuroscience of Consciousness November 1, 2021 Andrea I. Luppi, Pedro A. M. Mediano, Fernando E. Rosas et al. 42 citations

Abstract A central question in neuroscience concerns the relationship between consciousness and its physical substrate. Here, we argue that a richer characterization of consciousness can be obtained by viewing it as constituted of distinct information-theoretic elements. In other words, we propose a shift from quantification of consciousness—viewed as integrated information—to its...

Dopaminergic brainstem disconnection is common to pharmacological and pathological consciousness perturbation

Proceedings of the National Academy of Sciences of the United States of America July 23, 2021 Lennart R.b. Spindler, Andrea I. Luppi, Ram Adapa et al.

Significance Understanding the neural bases of consciousness is of basic scientific and clinical importance. Human neuroimaging has established that a network of interconnected brain regions known as the default mode network disintegrates in anesthesia and after brain damage that causes disorders of consciousness. However, the neurochemical underpinnings of this network change remain largely...

Network dynamics scale with levels of awareness

bioRxiv Preprint Server April 12, 2021 Peter Coppola, Lennart R.b. Spindler, Andrea I. Luppi et al. preprint

Small world topologies are thought to provide a valuable insight into human brain organisation and consciousness. However, functional magnetic resonance imaging studies in consciousness have not yielded consistent results. Given the importance of dynamics for both consciousness and cognition, here we investigate how the diversity of brain dynamics pertaining to small world topology (quantified...

Brain network integration dynamics are associated with loss and recovery of consciousness induced by sevoflurane

Human Brain Mapping March 19, 2021 Andrea I. Luppi, Daniel Golkowski, Andreas Ranft et al. 72 citations

Abstract The dynamic interplay of integration and segregation in the brain is at the core of leading theoretical accounts of consciousness. The human brain dynamically alternates between a sub‐state where integration predominates, and a predominantly segregated sub‐state, with different roles in supporting cognition and behaviour. Here, we combine graph theory and dynamic functional...

LSD alters dynamic integration and segregation in the human brain.

Neuroimage February 15, 2021 Andrea I. Luppi, Robin Carhart-Harris, Leor Roseman et al. 186 citations

Investigating changes in brain function induced by mind-altering substances such as LSD is a powerful method for interrogating and understanding how mind interfaces with brain, by connecting novel psychological phenomena with their neurobiological correlates. LSD is known to increase measures of brain complexity, potentially reflecting a neurobiological correlate of the especially rich...

Consciousness & Brain Functional Complexity in Propofol Anaesthesia

Scientific Reports January 23, 2020 Thomas F. Varley, Andrea I. Luppi, Ioannis Pappas et al. 86 citations

The brain is possibly the most complex system known to mankind, and its complexity has been called upon to explain the emergence of consciousness. However, complexity has been defined in many ways by multiple different fields: here, we investigate measures of algorithmic and process complexity in both the temporal and topological domains, testing them on functional MRI BOLD signal data obtained...

Consciousness-specific dynamic interactions of brain integration and functional diversity

Nature Communications October 10, 2019 Andrea I. Luppi, Michael M. Craig, Ioannis Pappas et al.

Prominent theories of consciousness emphasise different aspects of neurobiology, such as the integration and diversity of information processing within the brain. Here, we combine graph theory and dynamic functional connectivity to compare resting-state functional MRI data from awake volunteers, propofol-anaesthetised volunteers, and patients with disorders of consciousness, in order to...

Spectrally and temporally resolved estimation of neural signal diversity

Pedro A. M. Mediano, Fernando E. Rosas, Andrea I. Luppi et al. 10 citations

Abstract Quantifying the complexity of neural activity has provided fundamental insights into cognition, consciousness, and clinical conditions. However, the most widely used approach to estimate the complexity of neural dynamics, Lempel-Ziv complexity (LZ), has fundamental limitations that substantially restrict its domain of applicability. In this article we leverage the information-theoretic...

Accurate and Interpretable Prediction of Antidepressant Treatment Response from Receptor-informed Neuroimaging

bioRxiv (Cold Spring Harbor Laboratory) Hanna M. Tolle, Andrea I. Luppi, Timothy Lawn et al. 1 citation preprint

Conventional antidepressants show moderate efficacy in treating major depressive disorder. Psychedelic-assisted therapy holds promise, yet individual responses vary, underscoring the need for predictive tools to guide treatment selection. Here, we present graphTRIP (graph-based Treatment Response Interpretability and Prediction) – a geometric deep learning architecture that enables three...