Combining multimodal connectivity information improves modelling of pathology spread in Alzheimer's disease.

ABSTRACT: Cortical atrophy and aggregates of misfolded tau proteins are key hallmarks of Alzheimer's disease. Computational models that simulate the propagation of pathogens between connected brain regions have been used to elucidate mechanistic information about the spread of these disease biomarkers, such as disease epicentres and spreading rates. However, the connectomes that are used as substrates for these models are known to contain modality-specific false positive and false negative connections, influenced by the biases inherent to the different methods for estimating connections in the brain. In this work, we compare five types of connectomes for modelling both tau and atrophy patterns with the network diffusion model, which are validated against tau PET and structural MRI data from individu

SUBMITTER: Thompson E 

PROVIDER: S-EPMC11211996 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature