Contributions of network structure, chemoarchitecture and diagnostic categories to transitions between cognitive topographies.

ABSTRACT: The mechanisms linking the brain's network structure to cognitively relevant activation patterns remain largely unknown. Here, by leveraging principles of network control, we show how the architecture of the human connectome shapes transitions between 123 experimentally defined cognitive activation maps (cognitive topographies) from the NeuroSynth meta-analytic database. Specifically, we systematically integrated large-scale multimodal neuroimaging data from functional magnetic resonance imaging, diffusion tractography, cortical morphometry and positron emission tomography to simulate how anatomically guided transitions between cognitive states can be reshaped by neurotransmitter engagement or by changes in cortical thickness. Our model incorporates neurotransmitter-receptor density maps (

SUBMITTER: Luppi AI 

PROVIDER: S-EPMC11410673 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature