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| 001 | 1042420 | ||
| 005 | 20250610131454.0 | ||
| 024 | 7 | _ | |a 10.1038/s41467-025-59177-4 |2 doi |
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| 037 | _ | _ | |a FZJ-2025-02568 |
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| 082 | _ | _ | |a 500 |
| 100 | 1 | _ | |a Wang, Yezhou |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Multimodal gradients unify local and global cortical organization |
| 260 | _ | _ | |a [London] |c 2025 |b Springer Nature |
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| 520 | _ | _ | |a Functional specialization of brain areas and subregions, as well as their integration into large-scale networks, are key principles in neuroscience. Consolidating both local and global perspectives on cortical organization, however, remains challenging. Here, we present an approach to integrate inter- and intra-areal similarities of microstructure, structural connectivity, and functional interactions. Using high-field in-vivo 7 tesla (7 T) Magnetic Resonance Imaging (MRI) data and a probabilistic post-mortem atlas of cortical cytoarchitecture, we derive multimodal gradients that capture cortex-wide organization. Inter-areal similarities follow a canonical sensory-fugal gradient, linking cortical integration with functional diversity across tasks. However, intra-areal heterogeneity does not follow this pattern, with greater variability in association cortices. Findings are replicated in an independent 7 T dataset and a 100-subject 3 tesla (3 T) cohort. These results highlight a robust coupling between local arealization and global cortical motifs, advancing our understanding of how specialization and integration shape human brain function. |
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| 773 | _ | _ | |a 10.1038/s41467-025-59177-4 |g Vol. 16, no. 1, p. 3911 |0 PERI:(DE-600)2553671-0 |n 1 |p 3911 |t Nature Communications |v 16 |y 2025 |x 2041-1723 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1042420/files/Wang_et_al_2025_Multimodal_gradients.pdf |y OpenAccess |
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