Eigenmode-based approach reveals a decline in brain structure-function liberality across the human lifespan.
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ABSTRACT: While brain function is supported and constrained by the underlying structure, the connectome-based link estimated by current approaches is either relatively moderate or accompanied by high model complexity, with the essential principles underlying structure-function coupling remaining elusive. Here, by proposing a mapping method based on network eigendecomposition, we present a concise and strong correspondence between structure and function. We show that the explanation of functional connectivity can be significantly improved by incorporating interactions between different structural eigenmodes. We also demonstrate the pronounced advantage of the present mapping in capturing individual-specific information with simple implementation. Applying our methodology to the human lifespan, we fin
SUBMITTER: Yang Y
PROVIDER: S-EPMC10630517 | biostudies-literature | 2023 Nov
REPOSITORIES: biostudies-literature
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