Harmonic decomposition of spacetime (HADES) framework characterises the spacetime hierarchy of the DMT brain state
The authors introduce HADES, a Harmonic Decomposition of Spacetime framework that quantifies how spatial harmonic brain modes are expressed over time, and apply it to show that DMT reduces contributions of most low‑frequency harmonics and specifically diminishes the second functional harmonic linked to the uni‑to‑transmodal functional hierarchy. Dynamic spacetime measures (fractional occupancy, lifetime and latent space) further delineate the hierarchical reorganisation of brain activity in the psychedelic state.
Authors
- Robin Carhart-Harris
- David Nutt
- Christopher Timmermann
Published
Abstract
The human brain is a complex system, whose activity exhibits flexible and continuous reorganisation across space and time. The decomposition of whole-brain recordings into harmonic modes has revealed a repertoire of gradient-like activity patterns associated with distinct brain functions. However, the way these activity patterns are expressed over time with their changes in various brain states remains unclear. In this study, we develop the Harmonic Decomposition of Spacetime (HADES) framework that characterises how different harmonic modes defined in space are expressed over time , and, as a proof-of-principle, demonstrate the sensitivity and robustness of this approach to specific changes induced by the serotonergic psychedelic N,N-Dimethyltryptamine (DMT) in healthy participants. HADES demonstrates significant decreases in contributions across most low-frequency harmonic modes in the DMT-induced brain state. When normalizing the contributions by condition (DMT and non-DMT), we detect a decrease specifically in the second functional harmonic, which represents the uni- to transmodal functional hierarchy of the brain, supporting the hypothesis that functional hierarchy is changed in psychedelics. Moreover, HADES’ dynamic spacetime measures of fractional occupancy, life time and latent space provide a precise description of the significant changes of the spacetime hierarchical organization of brain activity in the psychedelic state.
Research Summary of 'Harmonic decomposition of spacetime (HADES) framework characterises the spacetime hierarchy of the DMT brain state'
Introduction
Vohryzek and colleagues frame the brain as a complex system whose activity is organised continuously across space and time, and argue that existing approaches emphasise either spatial gradients or temporal dynamics but do not jointly capture a multiscale spacetime hierarchy. Earlier work on cortical gradients, resting-state networks and dynamic functional connectivity has shown gradient-like organisation from unimodal to transmodal cortex and that brain activity fluctuates through time in identifiable patterns, yet the mechanisms that produce the expression and temporal evolution of these spatial patterns remain unclear. To address this gap the investigators introduce the Harmonic Decomposition of Spacetime (HADES) framework. HADES decomposes whole-brain fMRI activity into spatially defined functional harmonics derived from a dense functional connectome and then characterises how those harmonics are expressed over time via temporal weights and dynamic measures. As a proof-of-principle application, the study applies HADES to fMRI data collected during a serotonergic psychedelic challenge with N,N-dimethyltryptamine (DMT) in healthy participants, testing the hypothesis that the DMT state flattens the brain’s functional hierarchy and increases global integration in line with REBUS/anarchic brain predictions.
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- APA Citation
Vohryzek, J., Cabral, J., Timmermann, C., Atasoy, S., Roseman, L., Nutt, D. J., Carhart-Harris, R. L., Deco, G., & Kringelbach, M. L. (2023). Harmonic decomposition of spacetime (HADES) framework characterises the spacetime hierarchy of the DMT brain state. https://doi.org/10.1101/2023.08.20.554019
References (15)
Papers cited by this study that are also in Blossom
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Timmermann, C., Roseman, L., Schartner, M. et al. · Scientific Reports (2019)
Timmermann, C., Roseman, L., Haridas, S. et al. · PNAS (2023)
Timmermann, C., Roseman, L., Williams, L. et al. · Frontiers in Psychology (2018)
Palhano-Fontes, F., Barreto, D., Onias, H. et al. · Psychological Medicine (2018)
Carhart-Harris, R. L., Chandaria, S., Erritzoe, D. E. et al. · Neuropharmacology (2023)
Atasoy, S., Vohryzek, J., Deco, G. et al. · Progress in Brain Research (2018)
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Carhart-Harris, R. L., Leech, R., Shanahan, M. et al. · Frontiers in Human Neuroscience (2014)
Carhart-Harris, R. L. · Neuropharmacology (2018)
Show all 15 referencesShow fewer
Carhart-Harris, R. L., Friston, K. J. · Pharmacological Reviews (2019)
Girn, M., Roseman, L., Bernhardt, B. et al. · NeuroImage (2022)
Carhart-Harris, R. L., Muthukumaraswamy, S., Roseman, L. et al. · PNAS (2016)
Palhano-Fontes, F., Andrade, K. C., Tófoli, L.F. et al. · PLOS ONE (2015)
Kringelbach, M. L., Cruzat, J., Cabral, J. et al. · PNAS (2020)
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