EEG has tremendous sensitivity to neural activities, and impressive specificity to alterations caused by various psychiatric and neurological disorders. When combined with cutting-edge pattern classification techniques, it is a promising tool for translational diagnostics. However, it is very hard for one lab to gather enough data to realize this potential. Thus, PRED+CT was born. We hope to offer one-stop-shopping for task executables, open-source data storage, and computational tools for post-processing and classification.

There are a number of data repositories for imaging data, and patient-specific data. However, there are very few sites that offer patient-specific EEG data, and none that are arranged as PRED+CT for the purpose of patient classification.

Existing repositories tend to come in three different flavors:

1. There are a number of open-source EEG data repositories. None of these, however, include patient data:

• http://headit.ucsd.edu/
• https://sccn.ucsd.edu/pipermail/eeglablist/2013/006187.html
• http://sccn.ucsd.edu/~arno/fam2data/publicly_available_EEG_data.html
• http://www.physionet.org/pn4/eegmmidb/
• http://engineuring.wordpress.com/2009/07/08/downloadable-eeg-data/
• http://neurolex.org/wiki/Category:Resource:EEG_Motor_Movement/Imagery_Dataset
• http://www.brainsignals.de/
• http://sites.google.com/site/projectbci/
• http://www.physionet.org/pn4/eegmmidb/
• http://archive.ics.uci.edu/ml/datasets/EEG+Database
• http://www.physionet.org/pn4/eegmmidb/
• http://www.physionet.org/pn6/chbmit/
• http://www.cs.colostate.edu/eeg/eegSoftware.html#keirndata
• http://openvibe.inria.fr/?q=datasets
• http://www.eecs.qmul.ac.uk/mmv/datasets/deap/
• http://epilepsy.uni-freiburg.de/freiburg-seizure-prediction-project/eeg-database
• http://enterface.tel.fer.hr/index.php?frame=results
• http://www.bbci.de/competition/
• http://www.phypa.org/benchmarking.html
• https://engineuring.wordpress.com/2009/07/08/downloadable-eeg-data/
• http://sccn.ucsd.edu/~arno/fam2data/publicly_available_EEG_data.html
• http://www2.hu-berlin.de/eyetracking-eeg/testdata.html

2. Here are a few disease-specific repositories. Some have some M/EEG, but this can be difficult to discern:

• Autism:
  • https://sfari.org/resources/autism-cohorts/simons-vip
  • https://ndar.nih.gov/ndar_data_dictionary.html;jsessionid=7D268A92ACF3FCC2EEA35BF07892D394.node1
  • http://aed.newcastle.edu.au/
• Epilepsy (intracranial recordings):
  • https://www.ieeg.org/
• Traumatic Brain Injury:
  • https://fitbir.nih.gov/
• Alzheimer's Disease (does not appear to be any EEG data):
  • http://adni.loni.usc.edu/

3. There are some large-scale multi-purpose data repositories. Some have EEG data across many different patient groups. These may be excellent candidates for patient classification. However, most require formal requests to access data, and some have selective processes for allowing access to data:

   http://www.brainnet.net/
   https://physionet.org/physiobank/database/#neuro