Brain digital twins reveal network changes in congenital and slowly progressive cerebellar ataxias - Dataset

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Authors: Marta Gaviraghi
Cited by: 0

Abstract

This dataset contains structural (SC) and functional (FC) connectivity matrices for 27 subjects (healthy controls, Joubert syndrome, and slowly progressive ataxia). SC matrices were derived from tractography based on diffusion MRI, including connection weights and tract lengths. FC matrices, both static and dynamic, were derived from resting-state functional MRI. Data are organized by network (somatomotor, ventral attention) and by subject (sub-01, sub-02, ...), with two folders per subject: SC: 'SC_tract_lengths.txt' and 'SC_tract_weights.txt' FC: 'FCemp.txt' and 'FCDemp.txt' MRI raw data are not shared due to privacy restrictions.

Fields of Study & Subjects

Functional Brain Connectivity Studies Advanced Neuroimaging Techniques and Applications Genetic Neurodegenerative Diseases

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 March 2026
Language
EN
Document type
Dataset