Evidence map›Paper›PMID 37978044›Full record

ArticleSchizophrenia bulletin2024

Associations Between Structural Covariance Network and Antipsychotic Treatment Response in Schizophrenia.

Sakiko Tsugawa, Shiori Honda, Yoshihiro Noda, Cassandra Wannan, Andrew Zalesky, Ryosuke Tarumi, Yusuke Iwata, Kamiyu Ogyu, Eric Plitman, Fumihiko Ueno and 5 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Schizophrenia bulletin, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

10 citing papers in PubMed, 13 citations in OpenAlex.

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  4. Distinct structural deficits in treatment-resistant schizophrenia and their putative neurotransmitter basis: a source-based morphometry analysis.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 3 countries.

Sakiko TsugawaDepartment of Neuropsychiatry, Keio University, Tokyo, Japan.
Shiori HondaDepartment of Neuropsychiatry, Keio University, Tokyo, Japan.
Yoshihiro NodaDepartment of Neuropsychiatry, Keio University, Tokyo, Japan.
Cassandra WannanDepartment of Psychiatry, University of Melbourne, Melbourne, Australia.
Andrew ZaleskyDepartment of Biomedical Engineering, Melbourne School of Engineering, the University of Melbourne, Melbourne, Australia.
Ryosuke TarumiDepartment of Neuropsychiatry, Keio University, Tokyo, Japan.
Yusuke IwataDepartment of Neuropsychiatry, University of Yamanashi, Yamanashi, Japan.
Kamiyu OgyuDepartment of Neuropsychiatry, Keio University, Tokyo, Japan.
Eric PlitmanDepartment of Psychiatry, McGill University, Montreal, QC, Canada.ORCID 0000-0002-7784-758X
Fumihiko UenoDepartment of Neuropsychiatry, Keio University, Tokyo, Japan.
Masaru MimuraDepartment of Neuropsychiatry, Keio University, Tokyo, Japan.
Hiroyuki UchidaDepartment of Neuropsychiatry, Keio University, Tokyo, Japan.ORCID 0000-0002-0628-7036
Mallar ChakravartyDepartment of Psychiatry, McGill University, Montreal, QC, Canada.
Ariel Graff-GuerreroDepartment of Psychiatry, University of Toronto, Toronto, ON, Canada.
Shinichiro NakajimaDepartment of Neuropsychiatry, Keio University, Tokyo, Japan.
Keio University · JPThe University of Melbourne · AUUniversity of Toronto · CADouglas Mental Health University Institute · CAMcGill University · CAUniversity of Yamanashi · JP

Funding

CIHR MOP-142493
6 · The paper itself

Abstract

background and hypothesisSchizophrenia is associated with widespread cortical thinning and abnormality in the structural covariance network, which may reflect connectome alterations due to treatment effect or disease progression. Notably, patients with treatment-resistant schizophrenia (TRS) have stronger and more widespread cortical thinning, but it remains unclear whether structural covariance is associated with treatment response in schizophrenia. STUDY

designWe organized a multicenter magnetic resonance imaging study to assess structural covariance in a large population of TRS and non-TRS, who had been resistant and responsive to non-clozapine antipsychotics, respectively. Whole-brain structural covariance for cortical thickness was assessed in 102 patients with TRS, 77 patients with non-TRS, and 79 healthy controls (HC). Network-based statistics were used to examine the difference in structural covariance networks among the 3 groups. Moreover, the relationship between altered individual differentiated structural covariance and clinico-demographics was also explored. STUDY

resultsPatients with non-TRS exhibited greater structural covariance compared with HC, mainly in the fronto-temporal and fronto-occipital regions, while there were no significant differences in structural covariance between TRS and non-TRS or HC. Higher individual differentiated structural covariance was associated with lower general scores of the Positive and Negative Syndrome Scale in the non-TRS group, but not in the TRS group.

conclusionsThese findings suggest that reconfiguration of brain networks via coordinated cortical thinning is related to treatment response in schizophrenia. Further longitudinal studies are warranted to confirm if greater structural covariance could serve as a marker for treatment response in this disease.

Indexed as

Antipsychotic AgentsSchizophreniaBrainCerebral Cortical ThinningHumansMagnetic Resonance ImagingAntipsychotic Agentscortical thicknessindividual differential structural covariance networkmagnetic resonance imagingmulticenterstructural covariancetreatment-resistant schizophrenia

Identifiers

PMID37978044
PMCPMC10919786
OpenAlexW4388794120

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.