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Challenges in the reproducibility of clinical studies with resting state fMRI: An example in early Parkinson's disease
| Content Provider | Scilit |
|---|---|
| Author | Griffanti, Ludovica Rolinski, Michal Szewczyk-Krolikowski, Konrad Menke, Ricarda A. Filippini, Nicola Zamboni, Giovanna Jenkinson, Mark Hu, Michele T. M. Mackay, Clare E. |
| Copyright Year | 2016 |
| Description | Journal: Neuroimage Resting state fMRI (rfMRI) is gaining in popularity, being easy to acquire and with promising clinical applications. However, rfMRI studies, especially those involving clinical groups, still lack reproducibility, largely due to the different analysis settings. This is particularly important for the development of imaging biomarkers. The aim of this work was to evaluate the reproducibility of our recent study regarding the functional connectivity of the basal ganglia network in early Parkinson's disease (PD) (Szewczyk-Krolikowski et al., 2014). In particular, we systematically analysed the influence of two rfMRI analysis steps on the results: the individual cleaning (artefact removal) of fMRI data and the choice of the set of independent components (template) used for dual regression. |
| Related Links | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4655939/pdf https://core.ac.uk/download/pdf/82618256.pdf |
| Ending Page | 713 |
| Page Count | 10 |
| Starting Page | 704 |
| ISSN | 10538119 |
| DOI | 10.1016/j.neuroimage.2015.09.021 |
| Journal | Neuroimage |
| Volume Number | 124 |
| Language | English |
| Publisher | Elsevier BV |
| Publisher Date | 2016-01-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Neuroimage Resting State Functional Magnetic Resonance Imaging (rfmri) Functional Connectivity Basal Ganglia Network Parkinson's Disease |
| Content Type | Text |
| Resource Type | Article |
| Subject | Neurology Cognitive Neuroscience |
