A Multimodal Fusion Analysis of Pretreatment Anatomical and Functional Cortical Abnormalities in Responsive and Non-responsive Schizophrenia
Background: Antipsychotic medications provide limited long-term benefit to ~30% of schizophrenia patients. Multimodal magnetic resonance imaging (MRI) data have been used to investigate brain features between responders and nonresponders to antipsychotic treatment; however, these analytical techniqu...
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Frontiers Media S.A.
2021
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oai:doaj.org-article:8738220829c04a41a4c890d7aae7b1cf2021-12-01T21:56:50ZA Multimodal Fusion Analysis of Pretreatment Anatomical and Functional Cortical Abnormalities in Responsive and Non-responsive Schizophrenia1664-064010.3389/fpsyt.2021.737179https://doaj.org/article/8738220829c04a41a4c890d7aae7b1cf2021-12-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fpsyt.2021.737179/fullhttps://doaj.org/toc/1664-0640Background: Antipsychotic medications provide limited long-term benefit to ~30% of schizophrenia patients. Multimodal magnetic resonance imaging (MRI) data have been used to investigate brain features between responders and nonresponders to antipsychotic treatment; however, these analytical techniques are unable to weigh the interrelationships between modalities. Here, we used multiset canonical correlation and joint independent component analysis (mCCA + jICA) to fuse MRI data to examine the shared and specific multimodal features between the patients and healthy controls (HCs) and between the responders and non-responders.Method: Resting-state functional and structural MRI data were collected from 55 patients with drug-naïve first-episode schizophrenia (FES) and demographically matched HCs. Based on the decrease in Positive and Negative Syndrome Scale scores from baseline to the 1-year follow-up, FES patients were divided into a responder group (RG) and a non-responder group (NRG). Gray matter volume (GMV), fractional amplitude of low-frequency fluctuation (fALFF), and regional homogeneity (ReHo) maps were used as features in mCCA + jICA.Results: Between FES patients and HCs, there were three modality-specific discriminative independent components (ICs) showing the difference in mixing coefficients (GMV-IC7, GMV-IC8, and fALFF-IC5). The fusion analysis indicated one modality-shared IC (GMV-IC2 and ReHo-IC2) and three modality-specific ICs (GMV-IC1, GMV-IC3, and GMV-IC6) between the RG and NRG. The right postcentral gyrus showed a significant difference in GMV features between FES patients and HCs and modality-shared features (GMV and ReHo) between responders and nonresponders. The modality-shared component findings were highlighted by GMV, mainly in the bilateral temporal gyrus and the right cerebellum associated with ReHo in the right postcentral gyrus.Conclusions: This study suggests that joint anatomical and functional features of the cortices may reflect an early pathophysiological mechanism that is related to a 1-year treatment response.Chenyang YaoChenyang YaoChenyang YaoNa HuHengyi CaoHengyi CaoHengyi CaoBiqiu TangBiqiu TangWenjing ZhangWenjing ZhangYuan XiaoYuan XiaoYoujin ZhaoYoujin ZhaoQiyong GongQiyong GongSu LuiSu LuiFrontiers Media S.A.articlemCCA + jICAmultimodal fusionfunctional MRIstructural MRIschizophreniaantipsychotic medicationPsychiatryRC435-571ENFrontiers in Psychiatry, Vol 12 (2021) |
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mCCA + jICA multimodal fusion functional MRI structural MRI schizophrenia antipsychotic medication Psychiatry RC435-571 |
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mCCA + jICA multimodal fusion functional MRI structural MRI schizophrenia antipsychotic medication Psychiatry RC435-571 Chenyang Yao Chenyang Yao Chenyang Yao Na Hu Hengyi Cao Hengyi Cao Hengyi Cao Biqiu Tang Biqiu Tang Wenjing Zhang Wenjing Zhang Yuan Xiao Yuan Xiao Youjin Zhao Youjin Zhao Qiyong Gong Qiyong Gong Su Lui Su Lui A Multimodal Fusion Analysis of Pretreatment Anatomical and Functional Cortical Abnormalities in Responsive and Non-responsive Schizophrenia |
| description |
Background: Antipsychotic medications provide limited long-term benefit to ~30% of schizophrenia patients. Multimodal magnetic resonance imaging (MRI) data have been used to investigate brain features between responders and nonresponders to antipsychotic treatment; however, these analytical techniques are unable to weigh the interrelationships between modalities. Here, we used multiset canonical correlation and joint independent component analysis (mCCA + jICA) to fuse MRI data to examine the shared and specific multimodal features between the patients and healthy controls (HCs) and between the responders and non-responders.Method: Resting-state functional and structural MRI data were collected from 55 patients with drug-naïve first-episode schizophrenia (FES) and demographically matched HCs. Based on the decrease in Positive and Negative Syndrome Scale scores from baseline to the 1-year follow-up, FES patients were divided into a responder group (RG) and a non-responder group (NRG). Gray matter volume (GMV), fractional amplitude of low-frequency fluctuation (fALFF), and regional homogeneity (ReHo) maps were used as features in mCCA + jICA.Results: Between FES patients and HCs, there were three modality-specific discriminative independent components (ICs) showing the difference in mixing coefficients (GMV-IC7, GMV-IC8, and fALFF-IC5). The fusion analysis indicated one modality-shared IC (GMV-IC2 and ReHo-IC2) and three modality-specific ICs (GMV-IC1, GMV-IC3, and GMV-IC6) between the RG and NRG. The right postcentral gyrus showed a significant difference in GMV features between FES patients and HCs and modality-shared features (GMV and ReHo) between responders and nonresponders. The modality-shared component findings were highlighted by GMV, mainly in the bilateral temporal gyrus and the right cerebellum associated with ReHo in the right postcentral gyrus.Conclusions: This study suggests that joint anatomical and functional features of the cortices may reflect an early pathophysiological mechanism that is related to a 1-year treatment response. |
| format |
article |
| author |
Chenyang Yao Chenyang Yao Chenyang Yao Na Hu Hengyi Cao Hengyi Cao Hengyi Cao Biqiu Tang Biqiu Tang Wenjing Zhang Wenjing Zhang Yuan Xiao Yuan Xiao Youjin Zhao Youjin Zhao Qiyong Gong Qiyong Gong Su Lui Su Lui |
| author_facet |
Chenyang Yao Chenyang Yao Chenyang Yao Na Hu Hengyi Cao Hengyi Cao Hengyi Cao Biqiu Tang Biqiu Tang Wenjing Zhang Wenjing Zhang Yuan Xiao Yuan Xiao Youjin Zhao Youjin Zhao Qiyong Gong Qiyong Gong Su Lui Su Lui |
| author_sort |
Chenyang Yao |
| title |
A Multimodal Fusion Analysis of Pretreatment Anatomical and Functional Cortical Abnormalities in Responsive and Non-responsive Schizophrenia |
| title_short |
A Multimodal Fusion Analysis of Pretreatment Anatomical and Functional Cortical Abnormalities in Responsive and Non-responsive Schizophrenia |
| title_full |
A Multimodal Fusion Analysis of Pretreatment Anatomical and Functional Cortical Abnormalities in Responsive and Non-responsive Schizophrenia |
| title_fullStr |
A Multimodal Fusion Analysis of Pretreatment Anatomical and Functional Cortical Abnormalities in Responsive and Non-responsive Schizophrenia |
| title_full_unstemmed |
A Multimodal Fusion Analysis of Pretreatment Anatomical and Functional Cortical Abnormalities in Responsive and Non-responsive Schizophrenia |
| title_sort |
multimodal fusion analysis of pretreatment anatomical and functional cortical abnormalities in responsive and non-responsive schizophrenia |
| publisher |
Frontiers Media S.A. |
| publishDate |
2021 |
| url |
https://doaj.org/article/8738220829c04a41a4c890d7aae7b1cf |
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