White Matter-Gray Matter Correlation Analysis Based on White Matter Functional Gradient
Background: The spontaneous fluctuations in functional magnetic resonance imaging (fMRI) signals of the brain’s gray matter (GM) have been interpreted as representations of neural activity variations. In previous research, white matter (WM) signals, often considered noise, have also been demonstrate...
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MDPI AG
2024-12-01
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| Series: | Brain Sciences |
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| Online Access: | https://www.mdpi.com/2076-3425/15/1/26 |
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| author | Zhengjie Li Jiajun Liu Jianhui Zheng Luying Li Ying Fu Zhipeng Yang |
| author_facet | Zhengjie Li Jiajun Liu Jianhui Zheng Luying Li Ying Fu Zhipeng Yang |
| author_sort | Zhengjie Li |
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| description | Background: The spontaneous fluctuations in functional magnetic resonance imaging (fMRI) signals of the brain’s gray matter (GM) have been interpreted as representations of neural activity variations. In previous research, white matter (WM) signals, often considered noise, have also been demonstrated to reflect characteristics of functional activity and interactions among different brain regions. Recently, functional gradients have gained significant attention due to their success in characterizing the functional organization of the whole brain. However, previous studies on brain functional gradients have predominantly focused on GM, neglecting valuable functional information within WM. Methods: In this paper, we have elucidated the symmetrical nature of the functional hierarchy in the left and right brain hemispheres in healthy individuals, utilizing the principal functional gradient of the whole-brain WM while also accounting for gender differences. Results: Interestingly, both males and females exhibit a similar degree of asymmetry in their brain regions, albeit with distinct regional variations. Additionally, we have thoroughly examined and analyzed the distribution of functional gradient values in the spatial structure of the corpus callosum (CC) independently, revealing that a simple one-to-one correspondence between structure and function is absent. This phenomenon may be associated with the intricacy of their internal structural connectivity. Conclusions: We suggest that the functional gradients within the WM regions offer a fresh perspective for investigating the structural and functional characteristics of WM and may provide insights into the regulation of neural activity between GM and WM. |
| format | Article |
| id | doaj-art-449c8605b9bf459ba85c9e8db110d1ab |
| institution | Kabale University |
| issn | 2076-3425 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Brain Sciences |
| spelling | doaj-art-449c8605b9bf459ba85c9e8db110d1ab2025-01-24T13:25:43ZengMDPI AGBrain Sciences2076-34252024-12-011512610.3390/brainsci15010026White Matter-Gray Matter Correlation Analysis Based on White Matter Functional GradientZhengjie Li0Jiajun Liu1Jianhui Zheng2Luying Li3Ying Fu4Zhipeng Yang5College of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, ChinaCollege of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, ChinaCollege of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, ChinaDepartment of Radiology, Huaxi MR Research Center, West China Hospital, Sichuan University, Chengdu 610017, ChinaCollege of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, ChinaCollege of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, ChinaBackground: The spontaneous fluctuations in functional magnetic resonance imaging (fMRI) signals of the brain’s gray matter (GM) have been interpreted as representations of neural activity variations. In previous research, white matter (WM) signals, often considered noise, have also been demonstrated to reflect characteristics of functional activity and interactions among different brain regions. Recently, functional gradients have gained significant attention due to their success in characterizing the functional organization of the whole brain. However, previous studies on brain functional gradients have predominantly focused on GM, neglecting valuable functional information within WM. Methods: In this paper, we have elucidated the symmetrical nature of the functional hierarchy in the left and right brain hemispheres in healthy individuals, utilizing the principal functional gradient of the whole-brain WM while also accounting for gender differences. Results: Interestingly, both males and females exhibit a similar degree of asymmetry in their brain regions, albeit with distinct regional variations. Additionally, we have thoroughly examined and analyzed the distribution of functional gradient values in the spatial structure of the corpus callosum (CC) independently, revealing that a simple one-to-one correspondence between structure and function is absent. This phenomenon may be associated with the intricacy of their internal structural connectivity. Conclusions: We suggest that the functional gradients within the WM regions offer a fresh perspective for investigating the structural and functional characteristics of WM and may provide insights into the regulation of neural activity between GM and WM.https://www.mdpi.com/2076-3425/15/1/26WMrs-fMRIfunctional gradientCCasymmetry |
| spellingShingle | Zhengjie Li Jiajun Liu Jianhui Zheng Luying Li Ying Fu Zhipeng Yang White Matter-Gray Matter Correlation Analysis Based on White Matter Functional Gradient Brain Sciences WM rs-fMRI functional gradient CC asymmetry |
| title | White Matter-Gray Matter Correlation Analysis Based on White Matter Functional Gradient |
| title_full | White Matter-Gray Matter Correlation Analysis Based on White Matter Functional Gradient |
| title_fullStr | White Matter-Gray Matter Correlation Analysis Based on White Matter Functional Gradient |
| title_full_unstemmed | White Matter-Gray Matter Correlation Analysis Based on White Matter Functional Gradient |
| title_short | White Matter-Gray Matter Correlation Analysis Based on White Matter Functional Gradient |
| title_sort | white matter gray matter correlation analysis based on white matter functional gradient |
| topic | WM rs-fMRI functional gradient CC asymmetry |
| url | https://www.mdpi.com/2076-3425/15/1/26 |
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