The YaleNeuroConnect dataset is available in two online locations:
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The behavioral measures, clinical measures, structural MRI, and raw fMRI data (n=405) are available on the NIMH Data Archive (NDA) server: https://nda.nih.gov/edit_collection.html?id=3276.
To access the NDA system create an account at https://nda.nih.gov/. To learn more about the requirements for requesting access, visit https://nda.nih.gov/nda/access-data-info and https://nda.nih.gov/nda/tutorials/electronic-data-access-request. To download the data from the NDA website please install the NDA Download Manager as described at https://nda.nih.gov/nda/nda-tools.
In order to download data, please:
1.1. Visit the NDA Query Tool. 1.2. Find the data in the NDA Query Tool. 1.2.1 Visit Data from Labs. 1.2.2 Enter "id:3276" in the text search field. 1.3. Select your Collection, add the data to your "Workspace", then your "Filter Cart." 1.4. Once your filter cart is done updating, click "Create Data Package/ Add Data to Study." 1.5. You will then be brought to the Data Packaging page. Click the orange "Create Data Package" button and follow the prompts to create your data package. 1.6. Wait for the package to be created. You can check the status of your package via your Data Packages dashboard. Please note: This may take a few hours. 1.7. Once your package is ready to be downloaded, open the NDA Download Manager Tool and download your data.Please note that the data was formatted to comply with NDA standards. Subject IDs may appear in multiple rows, often due to NDA formatting requirements. Only the final occurrence should be considered.
(** For journal reviewers only, the NDA files are available under https://yaleedu-my.sharepoint.com/:f:/g/personal/anja_samardzija_yale_edu/EhIN0LWzn6NMr7ZWJRqwHvQB6E4Grl1J2bsji7eQjL8WhQ?e=Ee46pG ** with the password included in the manuscript submission ** this text will be removed once the manuscript is published).
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On a OneDrive folder: https://yaleedu-my.sharepoint.com/:f:/g/personal/todd_constable_yale_edu/En99p1wBK6xKj3Zuh2T48_cBVN_oUWEoDlDoVjKhZiMXtQ , the following files are available:
-The functional connectomes and mean ROIs obtained by segmenting the brain into nodes using the predefined function-based Shen268 atlas and Shen368 atlas (n=302)
-The demographic information across 15 self-report items (n=302, n=405) and the diagnostic category breakdown (n=302, n=405)
-The data of a sample subject, demonstrating the application of the fMRI data processing pipeline (https://github.com/YaleMRRC/YaleNeuroConnect_ProcessingPipeline).
Access to data on the NIMH website requires an application process, as described above. The YaleNeuroConnect OneDrive site is openly accessible and does not require authorization or password protection.
Data Use Agreement:
If I am granted access to the database:
- I will not attempt to identify any individual referenced in YaleNeuroConnect restricted data.
- I will exercise all reasonable and prudent care to avoid disclosure of the identity of any individual referenced in YaleNeuroConnect restricted data in any publication or other communication.
- I will not share access to YaleNeuroConnect restricted data with anyone else.
- I will exercise all reasonable and prudent care to maintain the physical and electronic security of YaleNeuroConnect restricted data.
- If I find information within YaleNeuroConnect restricted data that I believe might permit identification of any individual or institution, I will report the location of this information promptly by email to todd.constable@yale.edu, citing the location of the specific information in question.
- I have requested access to YaleNeuroConnect restricted data for the sole purpose of lawful use in scientific research, and I will use my privilege of access, if it is granted, for this purpose and no other.
- This agreement may be terminated by either party at any time, but my obligations with respect to YaleNeuroConnect data shall continue after termination.
- I will cite the YaleNeuroConnect manuscript (manuscript information to be added once the manuscript is published) if I publish a study using the dataset.
Adapted from PhysioNet Credentialed Health Data Use Agreement 1.5.0. (https://physionet.org/content/mimiciii/view-dua/1.4/)