Evidence map›Paper›PMID 38886369›Full record

ArticleSchizophrenia (Heidelberg, Germany)2024

Topological abnormalities of the morphometric similarity network of the cerebral cortex in schizophrenia.

Sung Woo Joo, Young Tak Jo, Woohyeok Choi, Sun Min Kim, So Young Yoo, Soohyun Joe, Jungsun Lee

Abstract read
In one paragraph

Article in Schizophrenia (Heidelberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

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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

7 authors.

Sung Woo JooDepartment of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-6555-9110
Young Tak JoDepartment of Psychiatry, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Republic of Korea.
Woohyeok ChoiDepartment of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Sun Min KimDepartment of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
So Young YooDepartment of Psychiatry, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-9964-126X
Soohyun JoeBrain Laboratory, Department of Psychiatry, University of California San Diego, School of Medicine, San Diego, California, USA.
Jungsun LeeDepartment of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. ljssmh@gmail.com.

Funding

Korea Health Industry Development Institute (KHIDI) HI22C0108National Research Foundation of Korea (NRF) NRF-2012R1A1006514National Research Foundation of Korea (NRF) NRF-2017R1D1A1B03032707National Research Foundation of Korea (NRF) NRF-2021R1F1A11057227
6 · The paper itself

Abstract

A morphometric similarity (MS) network can be constructed using multiple magnetic resonance imaging parameters of each cortical region. An MS network can be used to assess the similarity between cortical regions. Although MS networks can detect microstructural alterations and capture connections between histologically similar cortical areas, the influence of schizophrenia on the topological characteristics of MS networks remains unclear. We obtained T1- and diffusion-weighted images of 239 healthy controls and 190 individuals with schizophrenia to construct the MS network. Group comparisons of the mean MS of the cortical regions and subnetworks were performed. The strengths of the connections between the cortical regions and the global and nodal network indices were compared between the groups. Clinical associations with the network indices were tested using Spearman's rho. Compared with healthy controls, individuals with schizophrenia had significant group differences in the mean MS of several cortical regions and subnetworks. Individuals with schizophrenia had both superior and inferior strengths of connections between cortical regions compared with those of healthy controls. We observed regional abnormalities of the MS network in individuals with schizophrenia regarding lower centrality values of the pars opercularis, superior frontal, and superior temporal areas. Specific nodal network measures of the right pars opercularis and left superior temporal areas were associated with illness duration in individuals with schizophrenia. We identified regional abnormalities of the MS network in schizophrenia with the left superior temporal area possibly being a key region in topological organization and cortical connections.

Identifiers

PMID38886369
PMCPMC11183129

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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.