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Unraveling the pathophysiology of schizophrenia: insights from structural magnetic resonance imaging studies
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10236951/ https://www.ncbi.nlm.nih.gov/pubmed/37275974 http://dx.doi.org/10.3389/fpsyt.2023.1188603 |
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author | Adamu, Mohammed Jajere Qiang, Li Nyatega, Charles Okanda Younis, Ayesha Kawuwa, Halima Bello Jabire, Adamu Halilu Saminu, Sani |
author_facet | Adamu, Mohammed Jajere Qiang, Li Nyatega, Charles Okanda Younis, Ayesha Kawuwa, Halima Bello Jabire, Adamu Halilu Saminu, Sani |
author_sort | Adamu, Mohammed Jajere |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10236951 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102369512023-06-03 Unraveling the pathophysiology of schizophrenia: insights from structural magnetic resonance imaging studies Adamu, Mohammed Jajere Qiang, Li Nyatega, Charles Okanda Younis, Ayesha Kawuwa, Halima Bello Jabire, Adamu Halilu Saminu, Sani Front Psychiatry Psychiatry 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. Frontiers Media S.A. 2023-05-19 /pmc/articles/PMC10236951/ /pubmed/37275974 http://dx.doi.org/10.3389/fpsyt.2023.1188603 Text en Copyright © 2023 Adamu, Qiang, Nyatega, Younis, Kawuwa, Jabire and Saminu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychiatry Adamu, Mohammed Jajere Qiang, Li Nyatega, Charles Okanda Younis, Ayesha Kawuwa, Halima Bello Jabire, Adamu Halilu Saminu, Sani Unraveling the pathophysiology of schizophrenia: insights from structural magnetic resonance imaging studies |
title | Unraveling the pathophysiology of schizophrenia: insights from structural magnetic resonance imaging studies |
title_full | Unraveling the pathophysiology of schizophrenia: insights from structural magnetic resonance imaging studies |
title_fullStr | Unraveling the pathophysiology of schizophrenia: insights from structural magnetic resonance imaging studies |
title_full_unstemmed | Unraveling the pathophysiology of schizophrenia: insights from structural magnetic resonance imaging studies |
title_short | Unraveling the pathophysiology of schizophrenia: insights from structural magnetic resonance imaging studies |
title_sort | unraveling the pathophysiology of schizophrenia: insights from structural magnetic resonance imaging studies |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10236951/ https://www.ncbi.nlm.nih.gov/pubmed/37275974 http://dx.doi.org/10.3389/fpsyt.2023.1188603 |
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