OPES (Optimal Procedures for EEG Standards) Initiative

Bringing expert perspectives and EEG datasets together to inform shared standards

OPES is led by WG2 co-leader Prof Dr Claudio Babiloni in collaboration with colleagues across the EEG101 network. It combines expert input with resting-state EEG datasets from different laboratories to evaluate methodological choices and inform shared EEG standards.

Expected outcomes

OPES aims to develop:

  1. Consensus-driven recommendations for quantitative EEG (qEEG) analysis.
  2. An accompanying ontology that provides a practical reference standard.
  3. A transparent, extensible framework for research and clinical neurophysiology.
  4. A platform for testing reproducibility, biological validity, and harmonisation across sites in EEG studies.

How can you collaborate?

1: Expert survey

The first phase gathers researchers’ views on EEG methods and analytical practices. If you are an EEG researcher and have not yet completed the survey, please take part and share it with your network.

Complete the expert survey ↗
QR code for the OPES expert survey

OR scan to open the expert survey


2: EEG datasets

The second phase brings together resting-state EEG recordings from healthy adults across laboratories. The datasets will be used to compare procedures at key stages of EEG processing, including:

  • Automated artefact detection and channel rejection
  • Re-referencing strategies
  • Separation of periodic and aperiodic components of the power spectrum
  • Estimation of cortical source activity and functional connectivity
  • Harmonisation across electrode montages and recording systems

We are interested in datasets with:

  • Healthy adults aged 18–60
  • Both sexes represented
  • Participant age and educational attainment available
  • Eyes-closed resting-state EEG recordings longer than one minute; eyes-open recordings are optional
  • At least 64 scalp electrodes
  • Sampling frequency greater than 128 Hz
  • EEG recording system brand and model, reference, and ground information available

Recordings from different laboratories are welcome.

Have a suitable dataset? Contact Nesli Özhan at neslihan.ozhan@soton.ac.uk.


Promoting Organisations

← Back to Our Work