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dc.contributor.authorRuffini, Giulio
dc.contributor.authorDamiani, Giada
dc.contributor.authorLozano-Soldevilla, Diego
dc.contributor.authorDeco, Nikolas
dc.contributor.authorRosas, Fernando E.
dc.contributor.authorKiani, Narsis A.
dc.contributor.authorPonce-Alvarez, Adrián
dc.contributor.authorKringelbach, Morten L.
dc.contributor.authorCarhart-Harris, Robin
dc.contributor.authorDeco, Gustavo
dc.date.accessioned2025-01-21T10:27:52Z
dc.date.available2025-01-21T10:27:52Z
dc.date.issued2023
dc.identifier.citationRuffini, Giulio; Damiani, Giada; Lozano-Soldevilla, Diego [et al.]. LSD-induced increase of Ising temperature and algorithmic complexity of brain dynamics. PLOS Computational Biology, 2023, 19(2), e1010811. Disponible en: <https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1010811>. Fecha de acceso: 21 ene. 2025. DOI: 10.1371/journal.pcbi.1010811ca
dc.identifier.issn1553-7358ca
dc.identifier.urihttp://hdl.handle.net/20.500.12328/4584
dc.descriptionGR, GiD, DL-S, ND have received funding from the European Research Council (ERC Synergy Galvani) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 855109). GR, GD, GiD, DL-S and ND have received funding from European Union’s Horizon 2020 research and innovation programme under grant agreement No 101017716 (Neurotwin). FER is supported by the Ad Astra Chandaria foundation. NAK has received funding from the European Union under the Horizon 2020 programme (MultipleMS grant agreement 733161 and DECISION Grant agreement 847949). AP-A was supported by the Human Brain Project SGA3 (945539) and the Ramón y Cajal fellowship (RYC2020-029117-I). RC-H is supported by the Ralph Metzner Distinguished Professorship endowment. GD has received funding from the Spanish national research project (ref. AEI-PID2019-105772GB-I00/AEI/10.13039/501100011033) funded by the Spanish Ministry of Science, Innovation and Universities (MCIU), State Research Agency (AEI). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
dc.description.abstractA topic of growing interest in computational neuroscience is the discovery of fundamental principles underlying global dynamics and the self-organization of the brain. In particular, the notion that the brain operates near criticality has gained considerable support, and recent work has shown that the dynamics of different brain states may be modeled by pairwise maximum entropy Ising models at various distances from a phase transition, i.e., from criticality. Here we aim to characterize two brain states (psychedelics-induced and placebo) as captured by functional magnetic resonance imaging (fMRI), with features derived from the Ising spin model formalism (system temperature, critical point, susceptibility) and from algorithmic complexity. We hypothesized, along the lines of the entropic brain hypothesis, that psychedelics drive brain dynamics into a more disordered state at a higher Ising temperature and increased complexity. We analyze resting state blood-oxygen-level-dependent (BOLD) fMRI data collected in an earlier study from fifteen subjects in a control condition (placebo) and during ingestion of lysergic acid diethylamide (LSD). Working with the automated anatomical labeling (AAL) brain parcellation, we first create “archetype” Ising models representative of the entire dataset (global) and of the data in each condition. Remarkably, we find that such archetypes exhibit a strong correlation with an average structural connectome template obtained from dMRI (r = 0.6). We compare the archetypes from the two conditions and find that the Ising connectivity in the LSD condition is lower than in the placebo one, especially in homotopic links (interhemispheric connectivity), reflecting a significant decrease of homotopic functional connectivity in the LSD condition. The global archetype is then personalized for each individual and condition by adjusting the system temperature. The resulting temperatures are all near but above the critical point of the model in the paramagnetic (disordered) phase. The individualized Ising temperatures are higher in the LSD condition than in the placebo condition (p = 9 × 10−5). Next, we estimate the Lempel-Ziv-Welch (LZW) complexity of the binarized BOLD data and the synthetic data generated with the individualized model using the Metropolis algorithm for each participant and condition. The LZW complexity computed from experimental data reveals a weak statistical relationship with condition (p = 0.04 one-tailed Wilcoxon test) and none with Ising temperature (r(13) = 0.13, p = 0.65), presumably because of the limited length of the BOLD time series. Similarly, we explore complexity using the block decomposition method (BDM), a more advanced method for estimating algorithmic complexity. The BDM complexity of the experimental data displays a significant correlation with Ising temperature (r(13) = 0.56, p = 0.03) and a weak but significant correlation with condition (p = 0.04, one-tailed Wilcoxon test). This study suggests that the effects of LSD increase the complexity of brain dynamics by loosening interhemispheric connectivity—especially homotopic links. In agreement with earlier work using the Ising formalism with BOLD data, we find the brain state in the placebo condition is already above the critical point, with LSD resulting in a shift further away from criticality into a more disordered state.ca
dc.format.extent29ca
dc.language.isoengca
dc.publisherPLOSca
dc.relation.ispartofPLOS Computational Biologyca
dc.relation.ispartofseries19;2
dc.rights© 2023 Ruffini et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ca
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.otherNeurociència computacionalca
dc.subject.otherLSDca
dc.subject.otherNeurociencia computacionalca
dc.subject.otherLSDca
dc.subject.otherComputational neuroscienceca
dc.subject.otherLSDca
dc.titleLSD-induced increase of Ising temperature and algorithmic complexity of brain dynamicsca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/855109
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/101017716
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/733161
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/847949
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/MCIU/AEI-PID2019-105772GB-I00/AEI/10.13039/501100011033
dc.subject.udc159.9ca
dc.identifier.doihttps://dx.doi.org/10.1371/journal.pcbi.1010811ca


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© 2023 Ruffini et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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