A disease-specific functional connectome of Parkinson's disease patients

The contribution of the presented work is a data record featuring a disease-specific dataset of resting state functional magnetic resonance imaging (rs-fMRI) acquisitions of 75 Parkinson's disease (PD) patients prior to deep brain stimulation (DBS) implantation - the Tor-PD connectome. Specific...

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Hauptverfasser: Loh, Aaron, Boutet, Alexandre, Germann, Jurgen, Al-Fatly, Bassam, Elias, Gavin J.B., Neudorfer, Clemens, Krotz, Jillian, Wong, Emily H.Y., Parmar, Roohie, Gramer, Robert, Paff, Michelle, Horn, Andreas, Chen, J. Jean, Azevedo, Paula, Fasano, Alfonso, Munhoz, Renato P., Hodaie, Mojgan, Kalia, Suneil K., Kucharczyk, Walter, Lozano, Andres M.
Format: Dataset
Sprache:eng
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Zusammenfassung:The contribution of the presented work is a data record featuring a disease-specific dataset of resting state functional magnetic resonance imaging (rs-fMRI) acquisitions of 75 Parkinson's disease (PD) patients prior to deep brain stimulation (DBS) implantation - the Tor-PD connectome. Specifically, the dataset comprises 77 matrices (in the folder entitled 'vol'), each containing blood-oxygen-level-dependent-signal (BOLD) signal values of every voxel in 77 corresponding rs-fMRI acquisitions in standard MNI152 NLIN 2009b space. BOLD signal time-series matrices are given as .mat files and are viewable in MATLAB. In addition to the matrices, we have also provided a mask in NIfTI-1 format corresponding to voxels in standard space where a BOLD signal could be calculated in >80% of the 77 matrices (NaN mask). The data records derived from this work can be obtained through Zenodo (https://zenodo.org/) and Lead DBS (http://lead-dbs.org/). Crucially, the format of choice can be directly used without further conversion or preprocessing steps with openly available software (http://lead-dbs.org/).
DOI:10.5281/zenodo.4310182