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on003194 NEMAR · OpenNeuro mirror

Neuroepo multisession

Imported from OpenNeuro ds003194

Compute on this dataset

Two routes today, with a third (in-browser one-click submission) landing soon.

  1. NeuroScience Gateway (NSG) portal.

    NSG runs EEGLAB / Brainstorm / MNE pipelines on supercomputing time donated by SDSC. Create an account, point a job at this dataset's S3 prefix (s3://nemar/on003194), and submit.
    nsgportal.org →

  2. Local processing with nemar-cli.

    Pull the dataset to your machine and run any toolbox locally. Honors the published version pinning.

    npm install -g nemar-cli
    nemar dataset clone on003194
    cd on003194 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on003194/ — the manifest carries presigned S3 URLs.

Direct compute access is coming soon. One-click NSG submission from this page is scoped for a follow-up phase. Tracked on nemarOrg/website#6.

NEMAR-curated copy of OpenNeuro ds003194

This is the NEMAR-curated copy. We pull from OpenNeuro periodically; each pull is a major version bump (vN.0.0). Versions between pulls (vN.x.y) are NEMAR-side fixes and improvements.

NEMAR DOI
OpenNeuro DOI
unknown

![DOI](https://doi.org/10.82901/nemar.on003194)

The quest for neuroprotection in Parkinson’s disease (PD) has been for new compounds to slow disease progression and stable and non-invasive biomarkers to document their benefits. Neuroepo, a new formulation of EPO with low content of sialic acid reported good results in animal model and tolerance in healthy participants and PD patients. In a double-blind randomized placebo (https://clinicaltrials.gov/ number NCT04110678) twenty-five PD patients were assigned randomly to Neuroepo (n=15) or placebo (n=10) groups we reported the tolerance of the drug. We recorded resting-state EEG before and six months after the administration of the drug. The qualitative analysis of the abnormalities of the EEG was evaluated by two experts using a Likert-type scale and a multivariate item response theory (MIRT) approach was employed to establish the differences between groups in the two times. The quantitative EEG (qEEG) analysis was performed at the sources looking for generators of the neural activity using software VARETA and co-registering the results using the Montreal Neurological Institute Atlas. The statistical analysis between the sources was conducted using a permutation test and later a contrast method using the surfstat software between groups and before vs after condition, with Bonferroni correction for multiple comparisons. Here in this repository, we placed the raw EEG in BIDS format (Pernet, C. R. et al. EEG-BIDS, an extension to the brain imaging data structure for electroencephalography. Sci. data 6, 103 (2019). For the use of VARETA the qEEG program you can use (Bosch-Bayard, J. et al. A Quantitative EEG Toolbox for the MNI Neuroinformatics Ecosystem: Normative SPM of EEG Source Spectra. Front. Neuroinform. 14, (2020).) The EEG dataset from the different stages of processing can be requested to the authors.

Files

18 top-level entries · 189 MB total