CONP Portal | Dataset


EpUp Study: A Pilot Intervention for People with Epilepsy & Depression
Creators: Ontario Brain Institute
Contact: Brain-CODE, datarelease@braincode.ca
Licenses: Refer to Brain-CODE Governance Policy
Version: 1.0
Formats: CSV
Size: 10.1 MB
No of Files: 270
No of Subjects: 66
Primary Publication: Do distance-delivery group interventions improve depression in people with epilepsy?. et al. Epilepsy & behavior. https://doi.org/10.1016/j.yebeh.2019.06.037
Metadata file: DATS.json
Dimensions:
Is About: Homo sapiens
Acknowledges: Ontario Brain Institute, Epilepsy Research Program of the Ontario Brain Institute, Government of Ontario
Spatial Coverage: Canada
Other Dates: Start Date: 2014-10-21 00:00:00 -- End Date: 2017-07-18 00:00:00
Description:
About one third of people with epilepsy experience comorbid depression. UPLIFT (Using Practice and Learning to Increase Favorable Thoughts) uses mindfulness-based cognitive behavioural therapy (CBT) principles to treat depression in people with epilepsy. The EpUp study aimed to examine outcomes of UPLIFT versus EpINFO, an epilepsy information and self-management program. The effects of these distance-delivery, group intervention programs were studied in adults with epilepsy and self-reported depressive symptoms.

Dataset README information

README.md

EpUp Study Data Release

EpLink, Ontario Brain Institute

Overview

About one third of people with epilepsy experience comorbid depression. UPLIFT (Using Practice and Learning to Increase Favorable Thoughts) uses mindfulness-based cognitive behavioural therapy (CBT) principles to treat depression in people with epilepsy. The EpUp study aimed to examine outcomes of UPLIFT versus EpINFO, an epilepsy information and self-management program. The effects of these distance-delivery, group intervention programs were studied in adults with epilepsy and self-reported depressive symptoms.

Data organization and file format

Data is organized based on clinical form, participant cohort (UPLIFT and EpINFO), and timepoint. 88 packages are available that include data for 66 participants across 14 clinical forms, and 6 timepoints. Data is available in CSV format with accompanying README's and data dictionaries.

Access information

To gain access to Brain-CODE Open Data Release data, Study Investigators will need to sign up for an account at www.braincode.ca, agree to the Platform Terms of Use Agreement, and submit a request through the Data Release Dashboard (https://www.braincode.ca/content/dashboard#EpUp_Data_Release). Learn more about Brain-CODE data sharing and governance via the Brain-CODE Governance Policy (https://braininstitute.ca/docs/Brain-CODE-Governance-Policy-version-FINAL.pdf).

Visit the Brain-CODE Knowledge Base to learn more about our data releases.

Citation

Hum, K. M., Chan, C. J., Gane, J., Conway, L., McAndrews, M. P., & Smith, M. L. (2019). Do distance-delivery group interventions improve depression in people with epilepsy?. Epilepsy & behavior : E&B, 98(Pt A), 153-160. https://doi.org/10.1016/j.yebeh.2019.06.037

Download Using DataLad

CircleCI status

The following instructions require a basic understanding of UNIX/LINUX command lines. Future portal functionality may include downloads directly from the web browser. Dataset download is currently enabled through DataLad.

Note: The conp-dataset requires version >=0.12.5 of DataLad and version >=8.20200309 of git-annex.

To install DataLad on your system, please refer to the install section of the DataLad Handbook (installation via miniconda is recommended in order to obtain the latest version of DataLad).

1) Initiate the CONP dataset

To initiate the CONP dataset (conp-dataset), run the following command in the directory where you want CONP datasets to be installed:

datalad install https://github.com/CONP-PCNO/conp-dataset.git

2) Install the braincode_EpLink dataset

To install the dataset, go into the created conp-dataset directory and run datalad install on the dataset braincode_EpLink:

cd conp-dataset
datalad install projects/braincode_EpLink

3) Download the braincode_EpLink dataset

Now that the DataLad dataset has been installed, go into the dataset directory under projects/braincode_EpLink.

cd projects/braincode_EpLink

Note that files visible in the dataset are symlinks and will need to be downloaded manually using the datalad get command in the dataset directory:

datalad get <filepath>

Note, if you run datalad get * command, all the files present in the dataset directory will be downloaded.

For more information on how DataLad works, please visit the DataLad Handbook documentation .