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dc.contributor.author
Deco, Gustavo
dc.contributor.author
Sanz Perl Hernandez, Yonatan
dc.contributor.author
Johnson, Samuel
dc.contributor.author
Bourke, Niamh
dc.contributor.author
Carhart Harris, Robin L.
dc.contributor.author
Kringelbach, Morten L.
dc.date.available
2025-01-03T15:48:28Z
dc.date.issued
2024-08
dc.identifier.citation
Deco, Gustavo; Sanz Perl Hernandez, Yonatan; Johnson, Samuel; Bourke, Niamh; Carhart Harris, Robin L.; et al.; Different hierarchical reconfigurations in the brain by psilocybin and escitalopram for depression; Springer; Nature Mental Health; 2; 9; 8-2024; 1096-1110
dc.identifier.issn
2731-6076
dc.identifier.uri
http://hdl.handle.net/11336/251718
dc.description.abstract
Effective interventions for neuropsychiatric disorders may work by rebalancing the brain’s functional hierarchical organization. Here we directly investigated the effects of two different serotonergic pharmacological interventions on functional brain hierarchy in major depressive disorder in a two-arm double-blind phase II randomized controlled trial comparing psilocybin therapy (22 patients) with escitalopram (20 patients). Patients with major depressive disorder received either 2 × 25 mg of oral psilocybin, three weeks apart, plus six weeks of daily placebo (‘psilocybin arm’) or 2 × 1 mg of oral psilocybin, three weeks apart, plus six weeks of daily escitalopram (10–20 mg; ‘escitalopram arm’). Resting-state functional magnetic resonance imaging scans were acquired at baseline and three weeks after the second psilocybin dose (NCT03429075). The brain mechanisms were captured by generative effective connectivity, estimated from whole-brain modeling of resting state for each session and patient. Hierarchy was determined for each of these sessions using measures of directedness and trophic levels on the effective connectivity, which captures cycle structure, stability and percolation. The results showed that the two pharmacological interventions created significantly different hierarchical reconfigurations of whole-brain dynamics with differential, opposite statistical effect responses. Furthermore, the use of machine learning revealed significant differential reorganization of brain hierarchy before and after the two treatments. Machine learning was also able to predict treatment response with an accuracy of 0.85 ± 0.04. Overall, the results demonstrate that psilocybin and escitalopram work in different ways for rebalancing brain dynamics in depression. This suggests the hypothesis that neuropsychiatric disorders could be closely linked to the breakdown in regions orchestrating brain dynamics from the top of the hierarchy.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
Major Depression desorder
dc.subject
Psilocibyn
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Neuroimaging
dc.subject
Brain hierarchy
dc.subject.classification
Neurociencias
dc.subject.classification
Medicina Básica
dc.subject.classification
CIENCIAS MÉDICAS Y DE LA SALUD
dc.title
Different hierarchical reconfigurations in the brain by psilocybin and escitalopram for depression
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2025-01-03T11:47:39Z
dc.journal.volume
2
dc.journal.number
9
dc.journal.pagination
1096-1110
dc.journal.pais
Alemania
dc.description.fil
Fil: Deco, Gustavo. Universitat Pompeu Fabra; España
dc.description.fil
Fil: Sanz Perl Hernandez, Yonatan. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Johnson, Samuel. University of Oxford; Reino Unido
dc.description.fil
Fil: Bourke, Niamh. University of Oxford; Reino Unido
dc.description.fil
Fil: Carhart Harris, Robin L.. Imperial College London; Reino Unido
dc.description.fil
Fil: Kringelbach, Morten L.. University of Oxford; Reino Unido
dc.journal.title
Nature Mental Health
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s44220-024-00298-y
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1038/s44220-024-00298-y
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