Evidence map›Paper›PMID 39656187›Full record

ReviewSchizophrenia bulletin2025

Advances in MRI Research for First-Episode Schizophrenia: A Selective Review and NSFC-Funded Analysis.

Qi Yang, Xingchen Pan, Jun Yang, Ying Wang, Tingting Tang, Weisheng Guo, Ning Sun

Abstract readReview
In one paragraph

Review in Schizophrenia bulletin, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Multi-omics approaches to major psychiatric disorders.Neuropsychiatrie : Klinik, Diagnostik, Therapie und Rehabilitation : Organ der Gesellschaft Osterreichischer Nervenarzte und Psychiater · 2026
    Review
  2. Review
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.

Qi YangDepartment of Radiology, The First Hospital of Jilin University, Changchun 130021, China.
Xingchen PanDepartment of Radiology, The First Hospital of Jilin University, Changchun 130021, China.
Jun YangDepartment of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, China.
Ying WangDepartment of Neurology, The Third Affiliated Hospital of Changchun University of Tradition Chinese Medicine, Changchun 130022, China.
Tingting TangDepartment of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, China.
Weisheng GuoDepartment of Minimally Invasive Interventional Radiology, School of Biomedical Engineering & The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou 510260, China.
Ning SunDepartment of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, China.

Funding

Innovation Project of Invigorating Medical Through Science and Technology of Shanxi Province 2023RC004Jilin Province Health Science and Technology 2024A027
6 · The paper itself

Abstract

background and hypothesesThe causes of schizophrenia remain unclear, and research has been hindered by the lack of quantifiable standards. However, magnetic resonance imaging (MRI) is addressing these challenges, revealing critical neurobiological details and emphasizing its importance in both evaluation and treatment. STUDY

designFirst, we reviewed the progress of research on structural MRI (sMRI), functional MRI (fMRI), multimodal/multiomics analysis, artificial intelligence, and neuromodulation in first-episode schizophrenia (FES) over the past 5 years. Second, we summarize the current state of schizophrenia research funded by the National Natural Science Foundation of China (NSFC) to facilitate academic exchange and cooperation both domestically and internationally. STUDY

resultssMRI has identified early neurodevelopmental biomarkers in FES patients, and fMRI has highlighted functional abnormalities across disease stages. Multimodal/multiomics analysis has revealed complex brain-neurobiology interactions. Neuromodulation techniques, which directly modulate neural activity in specific brain regions, offer promising long-term benefits for stabilizing conditions and enhancing patients' quality of life. NSFC-funded analysis shows China is increasing its funding for schizophrenia research, though funding distribution remains uneven. The research focus has shifted from a single perspective on brain structure and function to multichannel, multimodal comprehensive analysis methods. This progress has driven the integration of machine learning-driven multiomics research, aiming to construct disease classification models, explore disease mechanisms, and guide treatment from multidimensional and interdisciplinary perspectives.

conclusionsMRI technology has provided new perspectives for the diagnosis and treatment of schizophrenia, especially the neurobiological foundations of the disease. Support from the NSFC provides a scientific and financial basis for future research and treatment, heralding scientific discoveries and technological innovations in this field and bringing hope to schizophrenia patients.

Indexed as

Biomedical ResearchMagnetic Resonance ImagingNeuroimagingSchizophreniaChinaHumansartificial intelligencefunding supportmagnetic resonance imagingmultimodal and multiomicsneuromodulation

Identifiers

PMID39656187
PMCPMC11908857

What Socratic 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 Socratic graph.