Journal article icon

Journal article

Perturbing whole‐brain models of brain hierarchy: An application for depression following pharmacological treatment

Abstract:
Determining the scale of neural representations is a central challenge in neuroscience. While localized representations have traditionally dominated, evidence suggests information is also encoded in distributed, hierarchical networks. Recent research indicates that the hierarchy of causal influences shaping functional patterns serves as a signature of distinct brain states, with implications for neuropsychiatric disorders. Here, we first explore how whole‐brain models, guided by the thermodynamics of mind framework, estimate brain hierarchy and how perturbing such models enables the study of in‐silico transitions represented by static functional connectivity. We then apply this to major depressive disorder, where different brain hierarchical reconfigurations emerge following psilocybin and escitalopram treatments. We build resting‐state whole‐brain models of depressed patients before and after interventions and conduct a dynamic sensitivity analysis to explore brain states’ susceptibility—measuring their capacity to change—and their drivability to healthier states. We show that susceptibility is on average reduced by escitalopram and increased by psilocybin, and that both treatments promote healthier transitions. These results align with the post‐treatment window of plasticity opened by serotonergic psychedelics and the similar clinical efficacy of both drugs in trials. Overall, this work demonstrates how whole‐brain models of brain hierarchy can inform in‐silico neurostimulation protocols for neuropsychiatric disorders.
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Publisher copy:
10.1111/nyas.15391

Authors


More by this author
Role:
Author
ORCID:
0009-0004-7430-1460
More by this author
Institution:
University of Oxford
Role:
Author


More from this funder
Funder identifier:
https://ror.org/01kpjmx04
More from this funder
Funder identifier:
https://ror.org/00znyv691
More from this funder
Funder identifier:
https://ror.org/016b0fq51


Publisher:
Wiley
Journal:
Annals of the New York Academy of Sciences More from this journal
Publication date:
2025-07-21
DOI:
EISSN:
1749-6632
ISSN:
0077-8923


Language:
English
Keywords:
Source identifiers:
3133544
Deposit date:
2025-07-21
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.

Terms of use



Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP