ArticleBrain communications2022
Structural disconnection and functional reorganization in Fabry disease: a multimodal MRI study.
Article in Brain communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- Article
- Clinical and Pathophysiologic Correlates of Basilar Artery Measurements in Fabry Disease.AJNR. American journal of neuroradiology · 2024Article
- In vivo demonstration of globotriaosylceramide brain accumulation in Fabry Disease using MR Relaxometry.Neuroradiology · 2024Article
- Review
- Assessing brain involvement in Fabry disease with deep learning and the brain-age paradigm.Human brain mapping · 2024Article
- Developmental differences in canonical cortical networks: Insights from microstructure-informed tractography.Network neuroscience (Cambridge, Mass.) · 2024Article
Corrections and comments
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Authors and funding
13 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Central nervous system involvement in Fabry disease, a rare systemic X-linked lysosomal storage disorder, is characterized by the presence of heterogeneous but consistent functional and microstructural changes. Nevertheless, knowledge about the degree and extension of macro-scale brain connectivity modifications is to date missing. In this work, we performed connectomic analyses of diffusion and resting-state functional MRI to investigate changes of both structural and functional brain organization in Fabry disease, as well as to explore the relationship between the two and their clinical correlates. In this retrospective cross-sectional study, 46 patients with Fabry disease (28F, 42.2 ± 13.2years) and 49 healthy controls (21F, 42.3 ± 16.3years) were included. All subjects underwent an MRI examination including anatomical, diffusion and resting-state functional sequences. Images were processed to obtain quantitative structural and functional connectomes, where the connections between regions of interest were weighted by the total intra-axonal signal contribution of the corresponding bundle and by the correlation between blood-oxygen level-dependent time series, respectively. We explored between-group differences in terms of both global network properties, expressed with graph measures and specific connected subnetworks, identified using a network-based statistics approach. As exploratory analyses, we also investigated the possible association between cognitive performance and structural and functional connectome modifications at both global and subnetwork level in a subgroup of patients (
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