Evidence map›Paper›PMID 41053029›Full record

ArticleTranslational psychiatry2025

Reconfiguration of functional brain hierarchy in schizophrenia.

Irene Acero-Pousa, Anira Escrichs, Paulina Clara Dagnino, Yonatan Sanz Perl, Morten L Kringelbach, Peter J Uhlhaas, Gustavo Deco

Erratum issuedAbstract read
In one paragraph

Article in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Irene Acero-PousaComputational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain. irene.aceroi@upf.edu.ORCID http://orcid.org/0009-0008-1823-8339
Anira EscrichsComputational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.ORCID http://orcid.org/0000-0002-6482-9737
Paulina Clara DagninoComputational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.
Yonatan Sanz PerlComputational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.
Morten L KringelbachInternational Centre for Flourishing, Universities of Oxford (UK), Aarhus (Denmark) and Pompeu Fabra (Spain), Oxford, UK.ORCID http://orcid.org/0000-0002-3908-6898
Peter J UhlhaasDepartment of Child and Adolescent Psychiatry, Charité-Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-0892-2224
Gustavo DecoComputational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.ORCID http://orcid.org/0000-0002-8995-7583

Funding

Generalitat de Catalunya (Government of Catalonia) 2022 FISDU 00229Generalitat de Catalunya (Government of Catalonia) PID2022-136216NB-I00
6 · The paper itself

Abstract

The multidimensional nature of schizophrenia requires a comprehensive exploration of the functional and structural brain networks. While prior research has provided valuable insights into these aspects, our study goes a step further to investigate the reconfiguration of the hierarchy of brain dynamics, which can help understand how brain regions interact and coordinate in schizophrenia. We applied an innovative thermodynamic framework, which allows for a quantification of the degree of functional hierarchical organisation by analysing resting state fMRI-data. Our findings reveal increased hierarchical organisation at the whole-brain level and within specific resting-state networks in individuals with schizophrenia, which correlated with negative symptoms, positive formal thought disorder and apathy. Moreover, using a machine learning approach, we showed that hierarchy measures allow a robust diagnostic separation between healthy controls and schizophrenia patients. Thus, our findings provide new insights into the nature of functional connectivity anomalies in schizophrenia, suggesting that they could be caused by the breakdown of the functional orchestration of brain dynamics.

Indexed as

BrainNerve NetSchizophreniaAdultBrain MappingCase-Control StudiesConnectomeFemaleHumansMachine LearningMagnetic Resonance ImagingMaleMiddle AgedYoung Adult

Identifiers

PMID41053029
PMCPMC12501247

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.