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| Auteurs principaux: | , , , , , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2505.24125 |
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| _version_ | 1866918396294070272 |
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| author | Wang, Rong Chang, Zhao Liu, Xuechun Kristanto, Daniel Gartner, Étienne Gérard Guy Liu, Xinyang Liu, Mianxin Wu, Ying Lui, Ming Zhou, Changsong |
| author_facet | Wang, Rong Chang, Zhao Liu, Xuechun Kristanto, Daniel Gartner, Étienne Gérard Guy Liu, Xinyang Liu, Mianxin Wu, Ying Lui, Ming Zhou, Changsong |
| contents | Human cognition is supported by brain structural connectivity wherein weak connectivity with weights several orders of magnitude smaller than those of strong connectivity, has been treated as noise and ignored from analysis over a long time. We here propose that weak connectivity plays roles to cognitive abilities by nonlinearly amplifying its small weights. Using the HCP dataset (n=999) and multiple tractography algorithms, we found that weak connectivity involves high individual variability and contributes to predictions of general cognitive ability and memory, and it is also critical for brain functional connectivity simulation and structure-function coupling. Importantly, we fused two post-tractography filtering methods to generate more reliable connectivity that preserves weak links and outperforms conventional thresholding. At the network level, we showed that weak connectivity expands the operational capacity of brain networks to enhance both global integration and fine-grained segregation, thereby supporting a functional balance essential for diverse cognitive abilities. Finally, we identified a specific type of weak connectivity mainly linking visual/motor to limbic areas with negative gene co-expression, which has a disproportionately large functional impact. Our findings demonstrate groundbreaking evidence of underestimated but crucial role of weak connectivity in human cognition, providing a refined approach to reliably reveal brain structural connectivity. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_24125 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Weak structural connectivity nonlinearly underlying human cognitive abilities Wang, Rong Chang, Zhao Liu, Xuechun Kristanto, Daniel Gartner, Étienne Gérard Guy Liu, Xinyang Liu, Mianxin Wu, Ying Lui, Ming Zhou, Changsong Neurons and Cognition Human cognition is supported by brain structural connectivity wherein weak connectivity with weights several orders of magnitude smaller than those of strong connectivity, has been treated as noise and ignored from analysis over a long time. We here propose that weak connectivity plays roles to cognitive abilities by nonlinearly amplifying its small weights. Using the HCP dataset (n=999) and multiple tractography algorithms, we found that weak connectivity involves high individual variability and contributes to predictions of general cognitive ability and memory, and it is also critical for brain functional connectivity simulation and structure-function coupling. Importantly, we fused two post-tractography filtering methods to generate more reliable connectivity that preserves weak links and outperforms conventional thresholding. At the network level, we showed that weak connectivity expands the operational capacity of brain networks to enhance both global integration and fine-grained segregation, thereby supporting a functional balance essential for diverse cognitive abilities. Finally, we identified a specific type of weak connectivity mainly linking visual/motor to limbic areas with negative gene co-expression, which has a disproportionately large functional impact. Our findings demonstrate groundbreaking evidence of underestimated but crucial role of weak connectivity in human cognition, providing a refined approach to reliably reveal brain structural connectivity. |
| title | Weak structural connectivity nonlinearly underlying human cognitive abilities |
| topic | Neurons and Cognition |
| url | https://arxiv.org/abs/2505.24125 |