Structural insight into the individual variability architecture of the functional brain connectome
Human cognition and behaviors depend upon the brain's functional connectomes, which vary remarkably across individuals. However, whether and how the functional connectome individual variability architecture is structurally constrained remains largely unknown. Using tractography- and morphometry...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-10-01
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| Series: | NeuroImage |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811922005067 |
| _version_ | 1828266942301995008 |
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| author | Lianglong Sun Xinyuan Liang Dingna Duan Jin Liu Yuhan Chen Xindi Wang Xuhong Liao Mingrui Xia Tengda Zhao Yong He |
| author_facet | Lianglong Sun Xinyuan Liang Dingna Duan Jin Liu Yuhan Chen Xindi Wang Xuhong Liao Mingrui Xia Tengda Zhao Yong He |
| author_sort | Lianglong Sun |
| collection | DOAJ |
| description | Human cognition and behaviors depend upon the brain's functional connectomes, which vary remarkably across individuals. However, whether and how the functional connectome individual variability architecture is structurally constrained remains largely unknown. Using tractography- and morphometry-based network models, we observed the spatial convergence of structural and functional connectome individual variability, with higher variability in heteromodal association regions and lower variability in primary regions. We demonstrated that functional variability is significantly predicted by a unifying structural variability pattern and that this prediction follows a primary-to-heteromodal hierarchical axis, with higher accuracy in primary regions and lower accuracy in heteromodal regions. We further decomposed group-level connectome variability patterns into individual unique contributions and uncovered the structural-functional correspondence that is associated with individual cognitive traits. These results advance our understanding of the structural basis of individual functional variability and suggest the importance of integrating multimodal connectome signatures for individual differences in cognition and behaviors. |
| first_indexed | 2024-04-13T04:58:40Z |
| format | Article |
| id | doaj.art-4a6b7fd1d11841b88325932df286b6cd |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-04-13T04:58:40Z |
| publishDate | 2022-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-4a6b7fd1d11841b88325932df286b6cd2022-12-22T03:01:24ZengElsevierNeuroImage1095-95722022-10-01259119387Structural insight into the individual variability architecture of the functional brain connectomeLianglong Sun0Xinyuan Liang1Dingna Duan2Jin Liu3Yuhan Chen4Xindi Wang5Xuhong Liao6Mingrui Xia7Tengda Zhao8Yong He9State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, ChinaSchool of Systems Science, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China; Corresponding authors.State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China; Chinese Institute for Brain Research, Beijing, 102206, China; Corresponding authors.Human cognition and behaviors depend upon the brain's functional connectomes, which vary remarkably across individuals. However, whether and how the functional connectome individual variability architecture is structurally constrained remains largely unknown. Using tractography- and morphometry-based network models, we observed the spatial convergence of structural and functional connectome individual variability, with higher variability in heteromodal association regions and lower variability in primary regions. We demonstrated that functional variability is significantly predicted by a unifying structural variability pattern and that this prediction follows a primary-to-heteromodal hierarchical axis, with higher accuracy in primary regions and lower accuracy in heteromodal regions. We further decomposed group-level connectome variability patterns into individual unique contributions and uncovered the structural-functional correspondence that is associated with individual cognitive traits. These results advance our understanding of the structural basis of individual functional variability and suggest the importance of integrating multimodal connectome signatures for individual differences in cognition and behaviors.http://www.sciencedirect.com/science/article/pii/S1053811922005067Individual variabilityConnectomicsStructure-function relationship |
| spellingShingle | Lianglong Sun Xinyuan Liang Dingna Duan Jin Liu Yuhan Chen Xindi Wang Xuhong Liao Mingrui Xia Tengda Zhao Yong He Structural insight into the individual variability architecture of the functional brain connectome NeuroImage Individual variability Connectomics Structure-function relationship |
| title | Structural insight into the individual variability architecture of the functional brain connectome |
| title_full | Structural insight into the individual variability architecture of the functional brain connectome |
| title_fullStr | Structural insight into the individual variability architecture of the functional brain connectome |
| title_full_unstemmed | Structural insight into the individual variability architecture of the functional brain connectome |
| title_short | Structural insight into the individual variability architecture of the functional brain connectome |
| title_sort | structural insight into the individual variability architecture of the functional brain connectome |
| topic | Individual variability Connectomics Structure-function relationship |
| url | http://www.sciencedirect.com/science/article/pii/S1053811922005067 |
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