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Predicting Parkinson's disease trajectory using clinical and functional MRI features: A reproduction...

Predicting Parkinson's disease trajectory using clinical and functional MRI features: A reproduction...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3169426054

Predicting Parkinson's disease trajectory using clinical and functional MRI features: A reproduction and replication study

About this item

Full title

Predicting Parkinson's disease trajectory using clinical and functional MRI features: A reproduction and replication study

Publisher

United States: Public Library of Science

Journal title

PloS one, 2025-02, Vol.20 (2), p.e0317566-39

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Parkinson's disease (PD) is a common neurodegenerative disorder with a poorly understood physiopathology and no established biomarkers for the diagnosis of early stages and for prediction of disease progression. Several neuroimaging biomarkers have been studied recently, but these are susceptible to several sources of variability related for instan...

Alternative Titles

Full title

Predicting Parkinson's disease trajectory using clinical and functional MRI features: A reproduction and replication study

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_3169426054

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3169426054

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0317566

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