Open Access: The Effect of Neurorehabilitation on Multiple Sclerosis – Unlocking the Resting-State fMRI Data
Crawled from OSF
Open Access: The Effect of Neurorehabilitation on Multiple Sclerosis – Unlocking the Resting-State fMRI Data
This dataset contains the resting-state fMRI data of 60 people with Multiple Sclerosis, acquired before and after two months of neuroproprioceptive "facilitation and inhibition" treatment.
If you use this dataset in your research, please make sure that you reference the related data paper with detailed description of the data: Bučková, Barbora, et al. "Open Access: The Effect of Neurorehabilitation on Multiple Sclerosis—Unlocking the Resting-State fMRI Data." Frontiers in neuroscience 15 (2021).
The data contain the following information: clinical.csv
Clinical information about subjects.
- ID: subject identifier.
- SEX: "M" or "F" identifying males and females.
- MS_TYPE: type of multiple sclerosis either "remitting_relapsing", "primary_progressive" or "secondary progressive".
- AGE: age at the time of the study.
- EDSS: Expanded Disability Status Scale at the time of the study.
- DATASET: whether the subject was a part of the pilot or the consecutive project (is relevant because of the slight change in the fMRI acquisition parameters).
- DIAG_YEARS: number of years since diagnosis.
- BMI: BMI at the time of the study.
- THERAPY: type of rehabilitation (see Prochazkova et al 2020).
- outliers_V1: the absolute number of volumes flagged as outliers participant's first visit (step 3 of the CONN pipeline).
- outliers_V2: the absolute number of volumes flagged as outliers participant's second visit (step 3 of the CONN pipeline).
The nifti directory contains CONN preprocessed fMRI time-series.
The quality measures contains files with the appropriate displacement measures for each subject and visit.
- DVARS.csv
- FD.csv
The AAL_timeseries contains functional connectivity timeseries as .csv for each subject and visit (one row equals activity in one region).
The FC contains functional connectivity matrices as .csv for each subject and visit, as well as the file AAL_labels.csv with labels of AAL atlas regions.
For more work from the COBRA group, please visit our website