Connectome-harmonic decomposition of human brain activity reveals dynamical repertoire re-organization under LSD
Selen Atasoy, Leor Roseman, Mendel Kaelen, Morten L. Kringelbach, Gustavo Deco, Robin Carhart‐Harris
bioRxiv (Cold Spring Harbor Laboratory) July 14, 2017 preprint DOI: 10.1101/163667 via OpenAlex
Summary
AI-generated from the abstractLysergic acid diethylamide (LSD) alters the energy and power of individual harmonic brain states in a frequency-selective manner, expanding the repertoire of active brain states. This non-random increase in co-activation across frequencies suggests a general re-organization of brain dynamics. The frequency distribution of active brain states under LSD follows power-laws, indicating dynamics at the edge of criticality. These methods offer insights into complex brain dynamics in health and disease.
Study at a glance
| Characteristics | Experimental study |
|---|---|
| Population | Human brain |
| Intervention | LSD |
| Keywords | Repertoire Neuroscience Connectome Psychology Human brain |
| Citations | 25 |
| Key finding | LSD alters the energy and power of harmonic brain states in a frequency-selective manner, expanding the repertoire of active brain states and re-organizing dynamics at the edge of criticality. |
Abstract
ABSTRACT 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 manner. Remarkably, this leads to an expansion of the repertoire of active brain states, suggestive of a general re-organization of brain dynamics given the non-random increase in co-activation across frequencies. Interestingly, the frequency distribution of the active repertoire of brain states under LSD closely follows power-laws indicating a re-organization of the dynamics at the edge of criticality. Beyond the present findings, these methods open up for a better understanding of the complex brain dynamics in health and disease.