Evidence map›Paper›PMID 39616308›Full record

ArticleBMC psychiatry2024

Network integration and segregation changes in schizophrenia: impact of electroconvulsive therapy.

Ningning Ding, Entu Zhang, Yangyang Liu, Shuaiqi Zhang, Pei Lu, Haisan Zhang

Abstract read
In one paragraph

Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

6 authors.

Ningning DingDepartment of Magnetic Resonance Imaging, The Second Affiliated Hospital of Xinxiang Medical University, Henan, China.
Entu ZhangDepartment of Magnetic Resonance Imaging, The Second Affiliated Hospital of Xinxiang Medical University, Henan, China.
Yangyang LiuMental Hospital, Xinxiang Key Laboratory of Multimodal Brain Imaging, Xinxiang Mental Image Engineering Technology Research Center, Xinxiang, China.
Shuaiqi ZhangDepartment of Magnetic Resonance Imaging, The Second Affiliated Hospital of Xinxiang Medical University, Henan, China.
Pei LuMental Hospital, Xinxiang Key Laboratory of Multimodal Brain Imaging, Xinxiang Mental Image Engineering Technology Research Center, Xinxiang, China.
Haisan ZhangDepartment of Magnetic Resonance Imaging, The Second Affiliated Hospital of Xinxiang Medical University, Henan, China. zhs386@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies have confirmed brain network topology disruption in schizophrenia (SZ). Electroconvulsive therapy (ECT) rapidly improves acute psychiatric symptoms, yet the exact mechanism by which it impacts brain network topology in SZ patients remains unclear. This study aims to explore topological changes in SZ patients' whole-brain functional networks during ECT, ultimately elucidating implicated neurological mechanisms.

methodsThis study collected resting-state functional magnetic resonance imaging (rs-fMRI) data from 53 patients with schizophrenia before and after ECT, as well as data from 46 age-, gender-, and education-matched healthy control participants (HC). Using the Brainnetome Atlas, brain functional networks were constructed for each participant. Graph theory methods were applied to measure global and nodal topological properties. Clinical symptoms of patients were assessed using the Positive And Negative Syndrome Scale (PANSS). Independent sample t-tests were employed to compare topological properties between patients and healthy controls, while paired t-tests were used to assess before and after ECT differences within the patient group. Finally, partial correlation analyses were conducted to examine the relationship between changes in topological properties and changes in PANSS scores among patients before and after ECT.

resultsBefore ECT, compared to the HC group, the patient group demonstrated reduced local efficiency (Eloc) and clustering coefficient (Cp). In the right superior temporal gyrus, degree centrality (Dc) and nodal global efficiency (Ne) were lower, whereas in the left cingulate gyrus, Ne and Dc were higher. Following ECT, Eloc and Cp normalized in the patient group. Additionally, nodal local efficiency (NLe) and nodal clustering coefficient (NCp) increased in the bilateral superior frontal gyrus. Conversely, in the left inferior parietal lobule, Ne and Dc decreased, and nodal shortest path length (NLp) increased. Both NLe and NCp were lower in the bilateral lateral occipital cortex, both before and after ECT. However, no significant correlation was observed between changes in PANSS scores and alterations in global and nodal topological properties before and after ECT treatment.

conclusionsOur study suggests that ECT may improve psychiatric symptoms by modulating the integration and dissociation functions within damaged brain networks in SZ patients. Specifically, the balance between the integration and dissociation functions of the default mode network (DMN), central executive network (CEN), and auditory networks (AN) may play a crucial role in the improvement of psychiatric symptoms.

Indexed as

Electroconvulsive TherapyMagnetic Resonance ImagingNerve NetSchizophreniaAdultBrainCase-Control StudiesFemaleHumansMaleMiddle AgedElectroconvulsive therapyFunctional integration and separationGraph theorySchizophrenia

Identifiers

PMID39616308
PMCPMC11607971

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.