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Peter J. Hellyer

6 papers in the library · 3,112 citations · publishing 2014-2020

Papers

The entropic brain: a theory of conscious states informed by neuroimaging research with psychedelic drugs

Frontiers in Human Neuroscience January 1, 2014 Robin Carhart‐Harris, Robert Leech, Peter J. Hellyer et al. 1,289 citations

Entropy, a measure of uncertainty or disorder, is applied to brain function and consciousness, focusing on the psychedelic state induced by psilocybin. The psychedelic state is considered a primary or primitive state of consciousness, characterized by elevated entropy in brain function, including a greater repertoire of functional connectivity motifs that form and fragment over time. This suggests primary states may exhibit criticality, a transition zone between order and disorder. Normal waking consciousness suppresses entropy, operating just below criticality, which constrains cognition and enables metacognitive functions like reality-testing and self-awareness. Entry into primary states involves collapse of default-mode network activity and decoupling from medial temporal lobes. These hypotheses can be tested by comparing brain activity in REM sleep, early psychosis, normal waking consciousness, and anesthesia.

Neural correlates of the LSD experience revealed by multimodal neuroimaging.

Proc Natl Acad Sci U S A April 11, 2016 Robin L. Carhart-Harris, Suresh Muthukumaraswamy, Leor Roseman et al. 887 citations

LSD produces marked changes in brain activity that correlate with its psychological effects. Increased blood flow in the visual cortex, decreased alpha power there, and an expanded functional connectivity profile of the primary visual cortex strongly correlated with visual hallucinations, suggesting that intrinsic brain activity influences visual processing more during the psychedelic state. Decreased connectivity between the parahippocampus and retrosplenial cortex correlated strongly with ego-dissolution and altered meaning, indicating this circuit's role in maintaining the self and processing meaning. Different imaging metrics showed strong relationships, allowing firmer inferences about their functional significance.

Homological scaffolds of brain functional networks

Journal of The Royal Society Interface October 29, 2014 Giovanni Petri, Paul Expert, Federico Turkheimer et al. 689 citations

Functional brain networks can be studied through homological cycles—topological objects that capture mesoscopic structure in weighted correlation networks. A new method, homological scaffolds, compactly represents these cycles and makes them amenable to standard network analysis. Applied to resting-state fMRI data from 15 healthy volunteers given placebo or psilocybin, the homological structure of brain activity changed dramatically after psilocybin, producing many transient, low-stability cycles and a few persistent ones absent under placebo.

The Control of Global Brain Dynamics: Opposing Actions of Frontoparietal Control and Default Mode Networks on Attention

Journal of Neuroscience January 8, 2014 Peter J. Hellyer, Murray Shanahan, Gregory Scott et al. 225 citations

During an attentionally demanding task, brain activity becomes more synchronized and less variable over time compared to rest. This shift is linked to increased activity in the frontoparietal control/dorsal attention network and decreased activity in the default mode network. A computational model confirmed that activating the frontoparietal network increases synchrony and reduces variability, while activating the default mode network does the opposite. The balance between these networks may control how the brain shifts between an unfocused, exploratory state with high variability and a focused, constrained state with low variability.

From homeostasis to behavior: Balanced activity in an exploration of embodied dynamic environmental-neural interaction

PLoS Computational Biology August 24, 2017 Peter J. Hellyer, Claudia Clopath, Angie A. Kehagia et al. 21 citations

A simple computational model of spontaneous neural dynamics controlling an agent in a virtual environment shows that brain-environment feedback can rapidly destabilize neural and behavioral dynamics, requiring homeostatic mechanisms. Local homeostatic plasticity, where inhibition adjusts to balance excitation, and global mechanisms, where regional task-negative activity compensates for task-positive sensory input in another region, both stabilize behavior. The results suggest complementary functional roles for local and macroscale homeostatic processes and propose a novel function for macroscopic task-negative activity patterns, such as the default mode network, in maintaining stable neural and behavioral dynamics.

Neural correlates of the LSD experience revealed by multimodal neuroimaging

UNC Libraries April 22, 2020 Peter J. Hellyer, Luke T. Williams, Ben Sessa et al. 1 citation

Lysergic acid diethylamide (LSD) in microgram doses produces profound, sometimes life-changing experiences and is a uniquely powerful psychoactive substance. In the first modern neuroimaging study of LSD, marked changes in brain blood flow, electrical activity, and network communication patterns were observed. These changes correlated strongly with the drug's hallucinatory and consciousness-altering properties. The findings have implications for understanding the neurobiology of consciousness and for potential applications of LSD in psychological research.