Parkinson's Disease EEG (ParEEG)

The Parkinson’s EEG (ParEEG) database comprises electroencephalographic recordings collected from 60 volunteers, including 30 individuals diagnosed with Parkinson’s disease (PD) and 30 control participants. EEG signals were acquired using two distinct data collection protocols, each involving audio-visual stimuli designed to examine neural responses under varying experimental conditions. The sequences of stimuli corresponding to these protocols are illustrated in Figures 1 and 2. EEG acquisition was performed using a Brain Products R-Net cap equipped with 32 passive electrodes, one ground electrode, and one reference electrode. Recordings were obtained at a sampling rate of 250 Hz, a configuration widely adopted in PD-related EEG research. Data were collected in a controlled laboratory environment to minimize electrical and motion artifacts. Participants were seated comfortably, instructed to maintain a relaxed posture, restrict unnecessary body movements, and minimize eye blinks during the recording sessions. Visual stimuli were presented on a laptop screen positioned approximately 76 cm from the participants’ eyes. 

The PD group consisted of 20 males and 10 females, with ages ranging from 40 to 80 years (mean ± SD: [insert value]). All patients were recruited from the Department of Neurology, Goa Medical College and Hospital, Goa, India, under the supervision of a neurologist. Parkinson’s disease was diagnosed according to the UK Parkinson’s Disease Society (UKPDS) Brain Bank Criteria, ensuring standardized diagnostic reliability. Approximately 70% of the patients exhibited mild impairment, while 30% demonstrated moderate impairment levels. To minimize the acute pharmacological influence on EEG activity, patients were instructed to abstain from their regular dopaminergic medication on the day of EEG acquisition. The exact interval between the last medication dose and EEG acquisition was not standardized in hours across participants. The healthy control group included 15 males and 15 females, age-matched to the PD participants to control for age-related variations in EEG features. None of the controls reported or exhibited neurological, psychiatric, or major systemic disorders. Their health status was verified through a structured questionnaire followed by neurologist-supervised screening.

Copyright of ParEEG :

The researcher can access the Parkinson’s EEG (ParEEG) database by following the procedure mentioned: 

• Researchers are required to send the request to use ParEEG by sending a copy of the license agreement, completely filled, to vetrekarnarayan@unigoa.ac.in with the subject line "License agreement for Parkinson’s EEG (ParEEG) database". 

Note: The license agreement has to be signed by the researcher or supervisor and the signature of a legal authority on behalf of the institution, such as the Head of the institution or Registrar, along with the institutional seal (Rubber Stamp).  The license agreement should be on the researchers institutional letterhead. 

The request will not be considered if due procedures are not followed.  

• Every request to avail ParEEG will be placed before the Ethical Committee of the Institute for approval, and the confirmation of the request will be sent via email. Further, all the instructions related to access to the database will be detailed in the email.

This database is available only for research and educational purposes and not for any commercial use. Further, the use of the database is only for one year from the date of signing the agreement by the researcher. Beyond the allocated one year for the usage of data, the applicant has to apply again following the due procedure.  

The database is available only for research and educational purposes. All the rights of the Parkinson’s EEG (ParEEG) database are reserved, and commercial use/distribution of this database is strictly prohibited. All the technical reports and papers that report experimental results from this database should provide due acknowledgement and reference. If you use the database in any publications or reports, you must refer to the following paper:  

• Krishna Patel, R. S. Gad, Marissa L. de Ataide, Narayan Vetrekar, Aniketh Gaonkar, Teresa Ferreira, and Raghavendra Ramachandra, ParEEG: A Cross-Stimulation EEG Database and Benchmark Study for Parkinson’s Disease Detection, SN Computer Science, Springer Nature.