Evidence map›Paper›PMID 37275974›Full record

ArticleFrontiers in psychiatry2023

Unraveling the pathophysiology of schizophrenia: insights from structural magnetic resonance imaging studies.

Mohammed Jajere Adamu, Li Qiang, Charles Okanda Nyatega, Ayesha Younis, Halima Bello Kawuwa, Adamu Halilu Jabire, Sani Saminu

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  5. Sigma-1 Receptor Activation by Fluvoxamine Ameliorates ER Stress, Synaptic Dysfunction and Behavioral Deficits in a Ketamine Model of Schizophrenia.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 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

7 authors.

Mohammed Jajere AdamuDepartment of Electronic Science and Technology, School of Microelectronics, Tianjin University, Tianjin, China.
Li QiangDepartment of Electronic Science and Technology, School of Microelectronics, Tianjin University, Tianjin, China.
Charles Okanda NyategaDepartment of Information and Communication Engineering, School of Electrical and Information Engineering, Tianjin University, Tianjin, China.
Ayesha YounisDepartment of Electronic Science and Technology, School of Microelectronics, Tianjin University, Tianjin, China.
Halima Bello KawuwaDepartment of Biomedical Engineering and Scientific Instruments, School of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China.
Adamu Halilu JabireDepartment of Electrical and Electronics Engineering, Taraba State University, Jalingo, Nigeria.
Sani SaminuDepartment of Biomedical Engineering, University of Ilorin, Ilorin, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Schizophrenia affects about 1% of the global population. In addition to the complex etiology, linking this illness to genetic, environmental, and neurobiological factors, the dynamic experiences associated with this disease, such as experiences of delusions, hallucinations, disorganized thinking, and abnormal behaviors, limit neurological consensuses regarding mechanisms underlying this disease. Methods: In this study, we recruited 72 patients with schizophrenia and 74 healthy individuals matched by age and sex to investigate the structural brain changes that may serve as prognostic biomarkers, indicating evidence of neural dysfunction underlying schizophrenia and subsequent cognitive and behavioral deficits. We used voxel-based morphometry (VBM) to determine these changes in the three tissue structures: the gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF). For both image processing and statistical analysis, we used statistical parametric mapping (SPM). Results: Our results show that patients with schizophrenia exhibited a significant volume reduction in both GM and WM. In particular, GM volume reductions were more evident in the frontal, temporal, limbic, and parietal lobe, similarly the WM volume reductions were predominantly in the frontal, temporal, and limbic lobe. In addition, patients with schizophrenia demonstrated a significant increase in the CSF volume in the left third and lateral ventricle regions. Conclusion: This VBM study supports existing research showing that schizophrenia is associated with alterations in brain structure, including gray and white matter, and cerebrospinal fluid volume. These findings provide insights into the neurobiology of schizophrenia and may inform the development of more effective diagnostic and therapeutic approaches.

Indexed as

cerebrospinal fluidgray matterschizophreniastatistical parametric mappingstructural MRIvoxel-based morphometrywhite matter

Identifiers

PMID37275974
PMCPMC10236951

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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.