Predicting Parkinson's disease trajectory using clinical and functional MRI features: A reproduction and replication study.
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| Title: | Predicting Parkinson's disease trajectory using clinical and functional MRI features: A reproduction and replication study. |
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| Authors: | Germani E; Univ Rennes, Inria, CNRS, Inserm, Rennes, France., Bhagwat N; Department of Neurology and Neurosurgery, McGill University, Montreal, Canada., Dugré M; Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada., Gau R; Department of Neurology and Neurosurgery, McGill University, Montreal, Canada., Montillo AA; Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, United States of America., Nguyen KP; Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, United States of America., Sokolowski A; Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada., Sharp M; Department of Neurology and Neurosurgery, McGill University, Montreal, Canada., Poline JB; Department of Neurology and Neurosurgery, McGill University, Montreal, Canada., Glatard T; Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada. |
| Source: | PloS one [PLoS One] 2025 Feb 21; Vol. 20 (2), pp. e0317566. Date of Electronic Publication: 2025 Feb 21 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0317566 |
