Depicting Coupling Between Cortical Morphology and Functional Networks in Major Depressive Disorder.
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| Title: | Depicting Coupling Between Cortical Morphology and Functional Networks in Major Depressive Disorder. |
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| Authors: | Wang, Peng (AUTHOR), Lu, Li (AUTHOR), Wang, Jinghua (AUTHOR), Xiao, Yang (AUTHOR), Sun, Li (AUTHOR), Zheng, Yuhong (AUTHOR), Sun, Jie (AUTHOR), Wang, Jinhui (AUTHOR), Xue, Shao-Wei (AUTHOR), Stoyanov, Drozdstoy (AUTHOR) |
| Source: | Depression & Anxiety (1091-4269). 4/27/2025, Vol. 2025, p1-12. 12p. |
| Subjects: | Magnetic resonance imaging, Functional magnetic resonance imaging, Functional connectivity, Large-scale brain networks, Cerebral cortex anatomy, Mental depression |
| Abstract: | An enduring mystery in neuroscience is the intricate interplay between brain anatomical structure and functional dynamics, particularly in the context of mental disorders such as major depressive disorder (MDD). A pivotal scientific question arises: How does the cortical morphology–function coupling (MFC) manifest in MDD, and what insights can this coupling provide into the clinical manifestations of the disorder? To tackle this question, we conducted a comprehensive analysis using high‐resolution T1‐weighted structural magnetic resonance imaging (MRI) and resting‐state functional MRI (rs‐fMRI) data from a cohort of 830 MDD patients and 853 healthy control (HC). By constructing morphological and functional networks based on cortical gray matter (GM) morphology and regional rs‐fMRI time series correlations, respectively, we aimed to quantify MFC by assessing the spatial correspondence between these networks. Results revealed that MDD patients exhibited a spatial hierarchical pattern of MFC similar to HC, with variations in specific networks. Specifically, lower coupling was observed in the visual network (VIS) and sensorimotor network (SMN), while higher coupling was noted in the default mode network (DMN) and frontoparietal network (FPN). Notably, MDD patients demonstrated significantly increased MFC within the VIS, SMN, and dorsal attention network (DAN) compared to HC. Furthermore, altered MFC in the VIS correlated positively with depressive symptom severity. These findings contribute to our understanding of the potential clinical significance of MFC alterations in MDD. [ABSTRACT FROM AUTHOR] |
| Copyright of Depression & Anxiety (1091-4269) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 184799738 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Depicting Coupling Between Cortical Morphology and Functional Networks in Major Depressive Disorder. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+Peng%22">Wang, Peng</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Li%22">Lu, Li</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Jinghua%22">Wang, Jinghua</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xiao%2C+Yang%22">Xiao, Yang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sun%2C+Li%22">Sun, Li</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zheng%2C+Yuhong%22">Zheng, Yuhong</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sun%2C+Jie%22">Sun, Jie</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Jinhui%22">Wang, Jinhui</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xue%2C+Shao-Wei%22">Xue, Shao-Wei</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stoyanov%2C+Drozdstoy%22">Stoyanov, Drozdstoy</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Depression+%26+Anxiety+%281091-4269%29%22">Depression & Anxiety (1091-4269)</searchLink>. 4/27/2025, Vol. 2025, p1-12. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Functional+magnetic+resonance+imaging%22">Functional magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Functional+connectivity%22">Functional connectivity</searchLink><br /><searchLink fieldCode="DE" term="%22Large-scale+brain+networks%22">Large-scale brain networks</searchLink><br /><searchLink fieldCode="DE" term="%22Cerebral+cortex+anatomy%22">Cerebral cortex anatomy</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: An enduring mystery in neuroscience is the intricate interplay between brain anatomical structure and functional dynamics, particularly in the context of mental disorders such as major depressive disorder (MDD). A pivotal scientific question arises: How does the cortical morphology–function coupling (MFC) manifest in MDD, and what insights can this coupling provide into the clinical manifestations of the disorder? To tackle this question, we conducted a comprehensive analysis using high‐resolution T1‐weighted structural magnetic resonance imaging (MRI) and resting‐state functional MRI (rs‐fMRI) data from a cohort of 830 MDD patients and 853 healthy control (HC). By constructing morphological and functional networks based on cortical gray matter (GM) morphology and regional rs‐fMRI time series correlations, respectively, we aimed to quantify MFC by assessing the spatial correspondence between these networks. Results revealed that MDD patients exhibited a spatial hierarchical pattern of MFC similar to HC, with variations in specific networks. Specifically, lower coupling was observed in the visual network (VIS) and sensorimotor network (SMN), while higher coupling was noted in the default mode network (DMN) and frontoparietal network (FPN). Notably, MDD patients demonstrated significantly increased MFC within the VIS, SMN, and dorsal attention network (DAN) compared to HC. Furthermore, altered MFC in the VIS correlated positively with depressive symptom severity. These findings contribute to our understanding of the potential clinical significance of MFC alterations in MDD. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Depression & Anxiety (1091-4269) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/da/6885509 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1 Subjects: – SubjectFull: Magnetic resonance imaging Type: general – SubjectFull: Functional magnetic resonance imaging Type: general – SubjectFull: Functional connectivity Type: general – SubjectFull: Large-scale brain networks Type: general – SubjectFull: Cerebral cortex anatomy Type: general – SubjectFull: Mental depression Type: general Titles: – TitleFull: Depicting Coupling Between Cortical Morphology and Functional Networks in Major Depressive Disorder. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Peng – PersonEntity: Name: NameFull: Lu, Li – PersonEntity: Name: NameFull: Wang, Jinghua – PersonEntity: Name: NameFull: Xiao, Yang – PersonEntity: Name: NameFull: Sun, Li – PersonEntity: Name: NameFull: Zheng, Yuhong – PersonEntity: Name: NameFull: Sun, Jie – PersonEntity: Name: NameFull: Wang, Jinhui – PersonEntity: Name: NameFull: Xue, Shao-Wei – PersonEntity: Name: NameFull: Stoyanov, Drozdstoy IsPartOfRelationships: – BibEntity: Dates: – D: 27 M: 04 Text: 4/27/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 10914269 Numbering: – Type: volume Value: 2025 Titles: – TitleFull: Depression & Anxiety (1091-4269) Type: main |
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