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Hum Brain Mapp

ISSN 1065-9471; 1097-0193;

4 papers in the library · 397 citations · publishing 2016-2026

Papers

LSD-induced entropic brain activity predicts subsequent personality change.

Hum Brain Mapp May 6, 2016 A.V. Lebedev, M. Kaelen, M. Lövdén et al. 333 citations

A single dose of LSD increased brain entropy—the unpredictability of neural activity—across sensory and higher-order networks in 19 healthy adults. These entropy shifts, measured during resting-state fMRI, predicted lasting increases in the personality trait openness two weeks later. The predictive effect was strongest when participants listened to music and reported experiences of ego dissolution during the drug's acute effects. The findings suggest that psychedelic-induced changes in brain dynamics and subjective experience can forecast enduring personality change.

LSD alters eyes-closed functional connectivity within the early visual cortex in a retinotopic fashion.

Hum Brain Mapp April 29, 2016 Leor Roseman, Martin I. Sereno, Robert Leech et al. 63 citations

Under LSD, with eyes closed, patches of the visual cortex that represent the same part of the visual field (e.g., both representing the horizontal meridian) showed stronger functional connectivity than patches representing different parts, compared to placebo. This pattern, measured in 10 healthy subjects using resting-state fMRI, suggests that the early visual system during LSD-induced imagery behaves as if it were processing actual visual input, even when no external visual stimuli are present.

Decoding the Self: Single-Trial Prediction of Self-Boundary Meditation States From Magnetoencephalography Recordings.

Hum Brain Mapp January 1, 2026 Henrik Röhr, Daniel A. Atad, Fynn‐mathis Trautwein et al. 1 citation

Meditation can deliberately alter the sense of self, allowing comparison between an active and suspended self. In 41 experienced meditators, magnetoencephalography recordings distinguished a state of reduced sense of self (self-boundary dissolution) from rest and a control meditation state. Machine learning using source band power and Lempel-Ziv complexity features predicted mental states with above-chance accuracy. The best performance, classifying self-boundary dissolution versus rest using Lempel-Ziv complexity, achieved average accuracy of about 0.64 for within-participant prediction and about 0.57 for across-participant prediction. This neural marker could support decoded neurofeedback for clinical treatments of self disorders or meditation training.

Modeled Long-Term Effects of Psilocybin on Dynamic Activity and Effective Connectivity of Fronto-Striatal-Thalamic Circuits.

Hum Brain Mapp July 1, 2026 Lorenzo Pasquini, Jakub Vohryzek, Anira Escrichs et al.

A computational model predicts that a single dose of psilocybin can produce lasting changes in the dynamic activity and effective connectivity of fronto-striatal-thalamic brain circuits. The modeling suggests that psilocybin may strengthen connectivity between the prefrontal cortex and striatum while altering thalamic gating, effects that persist beyond the acute drug experience. These changes could underlie the sustained therapeutic benefits observed in clinical settings, such as reduced depressive symptoms and increased psychological flexibility. The findings provide a mechanistic framework for understanding how psilocybin induces long-term neural plasticity and highlight potential circuit targets for treating psychiatric disorders.