Data repository for "Shared micro- and macro-scale covariance network topology reveals differences in frontotemporal lobar degeneration proteinopathies"

Le résumé fourni par la source

Structural covariance analysis of brain neuroimaging has been instrumental for characterizing network patterns of neurodegeneration in aging and dementia. However, the relationship between macro-scale neurodegenerative networks and their underlying cellular substrates remains unclear. Here we integrate postmortem digital histopathology with antemortem MRI to characterize covariance networks across multiple scales in behavioral-variant frontotemporal dementia (bvFTD), a common cause of young-onset dementia with heterogeneous neuropathology, mainly either tauopathy (FTLD-Tau) or TDP-43 proteinopathies (FTLD-TDP), which are currently indistinguishable during life. We identify within-group consistencies between histopathology and MRI network topologies for both FTLD-Tau and FTLD-TDP, and between-group divergent patterns across pathologies. Moreover, pathology-specific topological network patterns were replicated in an independent living cohort of primary progressive aphasia patients with predicted FTLD pathology. These results find converging network patterns across scales that offer distinctions not evident through standard MRI volumetric analyses, suggesting disease-specific properties of cellular pathology can manifest as network-driven degeneration during life.This repository contains Histopathology percent area occupied pathology (log[%AO]), MRI volume, W-scores and covariance adjacency matrices data generated from an autopsy study of patients with FTLD pathology with antemortem structural MRIs (FTLD-Tau=26, FTLD-TDP=29) and postmortem histopathology sections from a partially overlapping autopsy cohort (FTLD-Tau=107, FTLD-TDP=94). This data was used to generate the main results presented in the publication:"Shared micro- and macro-scale covariance network topology reveals differences in frontotemporal lobar degeneration proteinopathies. In Submission."These data files can be used in association with our code repository:https://github.com/PennCompPathology/MRI_Histopathology_Group_Covariance_Networkto fully reproduce all published figures and results in the paper.

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