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 L. Carhart-Harris
Sci Rep December 15, 2017 DOI: 10.1038/s41598-017-17546-0 via PubMed Central
Summary
AI-generated from the abstractLSD alters the energy and power of individual harmonic brain states in a frequency-selective manner, leading to an expansion of the repertoire of active brain states. This expansion is non-random, suggesting a general re-organization of brain dynamics. The frequency distribution of active brain states under LSD closely follows power-laws, indicating a re-organization of dynamics at the edge of criticality. These findings provide insight into how LSD affects brain function and open new methods for understanding complex brain dynamics in health and disease.
Study at a glance
| Characteristics | Experimental study Peer reviewed |
|---|---|
| Population | Human brain |
| Intervention | Lysergic acid diethylamide (LSD) |
| Topics | LSD Neuroplasticity |
| Keywords | Psychedelics Neuroscience Brain activity |
| Citations | 225 |
| Key finding | LSD expands the repertoire of active brain states in a frequency-selective manner, reorganizing brain dynamics at the edge of criticality. |
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.