Global EEG Norms
Overview
This project is a multi-national EEG normative initiative for creating international standards for MEEG analysis, under the focus of the Global Brain Consortium (GBC). The initiative is led by Dr. Pedro Valdes-Sosa, at the University of Electronic Science and Technology of China (UESTC) and it joins several scientists all around the world.
Background
The pilot phase of the project started in March 2021. This initial proof of concept aims to calculate populational normative descriptors at the scalp level and with a reduced set of 19 electrodes of the international 1020 system.
Resting state (eyes closed) EEG data from 1586 healthy subjects have been collected from 15 research groups, located in 9 countries across the Americas, Europe, and Asia.
Data Cohorts
- Barbados
- China
- Colombia
- Cuba
- Germany
- Malaysia
- Russia
- Switzerland
- USA
Goals
- Create “qEEG signature” descriptors of the EEG spectra maturation, in a wide range of age and a narrow frequency range, for large populations, which take into consideration different ethnicity, culture, sex and other socio-economical indices.
- Developing methodologies for data harmonization across cohorts
Creating Signatures to describe EEG activity
- Validating and standardizing EEG preprocessing toolboxes for clean-EEG selection (e.g., artifact rejection).
- Data harmonization for conjoint use of EEG recordings gathered with different devices, technical conditions, and countries.
- Creating Quality Control mechanisms for accessing data quality and validity, as well as automatic preprocessing algorithms performance.
- Development of methods for automatic detection of outliers, to assess signal quality.
- Multivariate measurements for the comparison of different EEG cohorts.
Data Standardization and Quality Control
- Metrics for assessing deviations from normality.
- Multivariate methodologies to calculate normative regressions for MEEG data, and to create normative surfaces, rather than single variable norms.
- Methods for estimating the spectra at the MEEG sources, more appropriate for connectivity analysis.
- Calculation of normative parameters both at the scalp and the sources, in the whole frequency range, for different inverse estimators.
Novel Normative Methodologies
Participants
University of Electronic Science and Technology of China (UESTC), China
Pedro A. Valdes-Sosa
Deirel Paz-Linares
Shiang Hu
Min Li
Maria L. Bringas-Vega
Ariosky Areces-Gonzalez
Xu Lei
Rigel Wang
Dezhong Yao
Ying Wang
Montreal Neurological Institute, Canada
Alan C. Evans
Jorge F. Bosch-Bayard
Christine Rogers
Cuban Neuroscience Center (CNeuro), Cuba
Lidice Galan-Garcia
Mitchell J. Valdes-Sosa
Ana Calzada Reyes
Trinidad A. Virues-Alba
Eduardo Aubert-Vazquez
Federal Research Center for Information and Computational Technologies, Russia
Pavel Rudych
Institute of Cytology and Genetics Siberian Branch, Russia
Alexander N. Savostyanov
Nataliya S. Milakhina
Universidad de Antioquia, Colombia
Carlos A. Tobon-Quintero
John F. Ochoa-Gomez
Universiti Sains Malaysia, Malaysia
Mohd Faizal
Mohd Zulkifly
Jafri Malin Abdullah
Hazim Omar
Muhammad R. Abdul Rahman
Aini Ismafairus Abd Hamid
Faruque Reza
University of Zurich, Switzerland
Marius Tröndle
Nicolas Langer
University Hospital of Clinical Psychiatry, Bern, Switzerland
Thomas Koenig
Brain Research Laboratories, New York University, USA
Leslie Prichep
Mass General Hospital for Children, Boston, USA
Janina Galler
Centro Internacional de Restauracion Neurológica (CIREN), Cuba
Lilia Morales-Chacon
CITED, Cuba
Daysi Garcia
Max Planck Institute for Human Cognitive and Brain Sciences, Germany
Arno Villringer (Director)