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Strategies to solve the reverse inference fallacy in future MRI studies of schizophrenia: a review
Few advances in schizophrenia research have been translated into clinical practice, despite 60 years of serum biomarkers studies and 50 years of genetic studies. During the last 30 years, neuroimaging studies on schizophrenia have gradually increased, partly due to the beautiful prospect that the pa...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8032587/ https://www.ncbi.nlm.nih.gov/pubmed/32304018 http://dx.doi.org/10.1007/s11682-020-00284-9 |
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author | Zhuo, Chuanjun Li, Gongying Lin, Xiaodong Jiang, Deguo Xu, Yong Tian, Hongjun Wang, Wenqiang Song, Xueqin |
author_facet | Zhuo, Chuanjun Li, Gongying Lin, Xiaodong Jiang, Deguo Xu, Yong Tian, Hongjun Wang, Wenqiang Song, Xueqin |
author_sort | Zhuo, Chuanjun |
collection | PubMed |
description | Few advances in schizophrenia research have been translated into clinical practice, despite 60 years of serum biomarkers studies and 50 years of genetic studies. During the last 30 years, neuroimaging studies on schizophrenia have gradually increased, partly due to the beautiful prospect that the pathophysiology of schizophrenia could be explained entirely by the Human Connectome Project (HCP). However, the fallacy of reverse inference has been a critical problem of the HCP. For this reason, there is a dire need for new strategies or research “bridges” to further schizophrenia at the biological level. To understand the importance of research “bridges,” it is vital to examine the strengths and weaknesses of the recent literature. Hence, in this review, our team has summarized the recent literature (1995–2018) about magnetic resonance imaging (MRI) of schizophrenia in terms of regional and global structural and functional alterations. We have also provided a new proposal that may supplement the HCP for studying schizophrenia. As postulated, despite the vast number of MRI studies in schizophrenia, the lack of homogeneity between the studies, along with the relatedness of schizophrenia with other neurological disorders, has hindered the study of schizophrenia. In addition, the reverse inference cannot be used to diagnose schizophrenia, further limiting the clinical impact of findings from medical imaging studies. We believe that multidisciplinary technologies may be used to develop research “bridges” to further investigate schizophrenia at the single neuron or neuron cluster levels. We have postulated about future strategies for overcoming the current limitations and establishing the research “bridges,” with an emphasis on multimodality imaging, molecular imaging, neuron cluster signals, single transmitter biomarkers, and nanotechnology. These research “bridges” may help solve the reverse inference fallacy and improve our understanding of schizophrenia for future studies. |
format | Online Article Text |
id | pubmed-8032587 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-80325872021-04-27 Strategies to solve the reverse inference fallacy in future MRI studies of schizophrenia: a review Zhuo, Chuanjun Li, Gongying Lin, Xiaodong Jiang, Deguo Xu, Yong Tian, Hongjun Wang, Wenqiang Song, Xueqin Brain Imaging Behav Review Article Few advances in schizophrenia research have been translated into clinical practice, despite 60 years of serum biomarkers studies and 50 years of genetic studies. During the last 30 years, neuroimaging studies on schizophrenia have gradually increased, partly due to the beautiful prospect that the pathophysiology of schizophrenia could be explained entirely by the Human Connectome Project (HCP). However, the fallacy of reverse inference has been a critical problem of the HCP. For this reason, there is a dire need for new strategies or research “bridges” to further schizophrenia at the biological level. To understand the importance of research “bridges,” it is vital to examine the strengths and weaknesses of the recent literature. Hence, in this review, our team has summarized the recent literature (1995–2018) about magnetic resonance imaging (MRI) of schizophrenia in terms of regional and global structural and functional alterations. We have also provided a new proposal that may supplement the HCP for studying schizophrenia. As postulated, despite the vast number of MRI studies in schizophrenia, the lack of homogeneity between the studies, along with the relatedness of schizophrenia with other neurological disorders, has hindered the study of schizophrenia. In addition, the reverse inference cannot be used to diagnose schizophrenia, further limiting the clinical impact of findings from medical imaging studies. We believe that multidisciplinary technologies may be used to develop research “bridges” to further investigate schizophrenia at the single neuron or neuron cluster levels. We have postulated about future strategies for overcoming the current limitations and establishing the research “bridges,” with an emphasis on multimodality imaging, molecular imaging, neuron cluster signals, single transmitter biomarkers, and nanotechnology. These research “bridges” may help solve the reverse inference fallacy and improve our understanding of schizophrenia for future studies. Springer US 2020-04-17 2021 /pmc/articles/PMC8032587/ /pubmed/32304018 http://dx.doi.org/10.1007/s11682-020-00284-9 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Article Zhuo, Chuanjun Li, Gongying Lin, Xiaodong Jiang, Deguo Xu, Yong Tian, Hongjun Wang, Wenqiang Song, Xueqin Strategies to solve the reverse inference fallacy in future MRI studies of schizophrenia: a review |
title | Strategies to solve the reverse inference fallacy in future MRI studies of schizophrenia: a review |
title_full | Strategies to solve the reverse inference fallacy in future MRI studies of schizophrenia: a review |
title_fullStr | Strategies to solve the reverse inference fallacy in future MRI studies of schizophrenia: a review |
title_full_unstemmed | Strategies to solve the reverse inference fallacy in future MRI studies of schizophrenia: a review |
title_short | Strategies to solve the reverse inference fallacy in future MRI studies of schizophrenia: a review |
title_sort | strategies to solve the reverse inference fallacy in future mri studies of schizophrenia: a review |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8032587/ https://www.ncbi.nlm.nih.gov/pubmed/32304018 http://dx.doi.org/10.1007/s11682-020-00284-9 |
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