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Neuroimaging as a Window Into the Pathophysiological Mechanisms of Schizophrenia
Schizophrenia is a complex neuropsychiatric disorder with a diverse clinical phenotype that has a substantial personal and public health burden. To advance the mechanistic understanding of the illness, neuroimaging can be utilized to capture different aspects of brain pathology in vivo, including br...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7991588/ https://www.ncbi.nlm.nih.gov/pubmed/33776813 http://dx.doi.org/10.3389/fpsyt.2021.613764 |
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author | Kraguljac, Nina Vanessa Lahti, Adrienne Carol |
author_facet | Kraguljac, Nina Vanessa Lahti, Adrienne Carol |
author_sort | Kraguljac, Nina Vanessa |
collection | PubMed |
description | Schizophrenia is a complex neuropsychiatric disorder with a diverse clinical phenotype that has a substantial personal and public health burden. To advance the mechanistic understanding of the illness, neuroimaging can be utilized to capture different aspects of brain pathology in vivo, including brain structural integrity deficits, functional dysconnectivity, and altered neurotransmitter systems. In this review, we consider a number of key scientific questions relevant in the context of neuroimaging studies aimed at unraveling the pathophysiology of schizophrenia and take the opportunity to reflect on our progress toward advancing the mechanistic understanding of the illness. Our data is congruent with the idea that the brain is fundamentally affected in the illness, where widespread structural gray and white matter involvement, functionally abnormal cortical and subcortical information processing, and neurometabolic dysregulation are present in patients. Importantly, certain brain circuits appear preferentially affected and subtle abnormalities are already evident in first episode psychosis patients. We also demonstrated that brain circuitry alterations are clinically relevant by showing that these pathological signatures can be leveraged for predicting subsequent response to antipsychotic treatment. Interestingly, dopamine D2 receptor blockers alleviate neural abnormalities to some extent. Taken together, it is highly unlikely that the pathogenesis of schizophrenia is uniform, it is more plausible that there may be multiple different etiologies that converge to the behavioral phenotype of schizophrenia. Our data underscore that mechanistically oriented neuroimaging studies must take non-specific factors such as antipsychotic drug exposure or illness chronicity into consideration when interpreting disease signatures, as a clear characterization of primary pathophysiological processes is an imperative prerequisite for rational drug development and for alleviating disease burden in our patients. |
format | Online Article Text |
id | pubmed-7991588 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79915882021-03-26 Neuroimaging as a Window Into the Pathophysiological Mechanisms of Schizophrenia Kraguljac, Nina Vanessa Lahti, Adrienne Carol Front Psychiatry Psychiatry Schizophrenia is a complex neuropsychiatric disorder with a diverse clinical phenotype that has a substantial personal and public health burden. To advance the mechanistic understanding of the illness, neuroimaging can be utilized to capture different aspects of brain pathology in vivo, including brain structural integrity deficits, functional dysconnectivity, and altered neurotransmitter systems. In this review, we consider a number of key scientific questions relevant in the context of neuroimaging studies aimed at unraveling the pathophysiology of schizophrenia and take the opportunity to reflect on our progress toward advancing the mechanistic understanding of the illness. Our data is congruent with the idea that the brain is fundamentally affected in the illness, where widespread structural gray and white matter involvement, functionally abnormal cortical and subcortical information processing, and neurometabolic dysregulation are present in patients. Importantly, certain brain circuits appear preferentially affected and subtle abnormalities are already evident in first episode psychosis patients. We also demonstrated that brain circuitry alterations are clinically relevant by showing that these pathological signatures can be leveraged for predicting subsequent response to antipsychotic treatment. Interestingly, dopamine D2 receptor blockers alleviate neural abnormalities to some extent. Taken together, it is highly unlikely that the pathogenesis of schizophrenia is uniform, it is more plausible that there may be multiple different etiologies that converge to the behavioral phenotype of schizophrenia. Our data underscore that mechanistically oriented neuroimaging studies must take non-specific factors such as antipsychotic drug exposure or illness chronicity into consideration when interpreting disease signatures, as a clear characterization of primary pathophysiological processes is an imperative prerequisite for rational drug development and for alleviating disease burden in our patients. Frontiers Media S.A. 2021-03-11 /pmc/articles/PMC7991588/ /pubmed/33776813 http://dx.doi.org/10.3389/fpsyt.2021.613764 Text en Copyright © 2021 Kraguljac and Lahti. http://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 Kraguljac, Nina Vanessa Lahti, Adrienne Carol Neuroimaging as a Window Into the Pathophysiological Mechanisms of Schizophrenia |
title | Neuroimaging as a Window Into the Pathophysiological Mechanisms of Schizophrenia |
title_full | Neuroimaging as a Window Into the Pathophysiological Mechanisms of Schizophrenia |
title_fullStr | Neuroimaging as a Window Into the Pathophysiological Mechanisms of Schizophrenia |
title_full_unstemmed | Neuroimaging as a Window Into the Pathophysiological Mechanisms of Schizophrenia |
title_short | Neuroimaging as a Window Into the Pathophysiological Mechanisms of Schizophrenia |
title_sort | neuroimaging as a window into the pathophysiological mechanisms of schizophrenia |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7991588/ https://www.ncbi.nlm.nih.gov/pubmed/33776813 http://dx.doi.org/10.3389/fpsyt.2021.613764 |
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