Abstract Background The Global Brain Consortium https://globalbrainconsortium.org/ promotes the goals of open science and serves as a clearinghouse to interface synergistically with other initiatives. Method Two interacting projects are of interest here: 1) The Harmonized Multinational quantitative EEG norms (HarMNqEEG) project provides open data and software ( www.biorxiv.org/content/10.1101/2022.01.12.476128v1 ) for the first batch‐free Developmental Equations obtained from 1564 EEG cross‐spectral from 9 countries, 12 devices, 14 studies. 2) The Biomarkers of Dementia for Global Health supports Electrophysiology PIA efforts. Result As a result of the two projects, we evaluated qEEG discrimination on samples from the Medellin Study. The groups to be distinguished were those without the Preseninin‐1 mutation sample, asymptomatic carriers, and symptomatic carriers. We show that Hermitian Riemannian qEEG descriptive parameters and the HarMNqEEG norms allow the elastic‐net robust classifier to accurate classification (Figure 1) with total AUC in the range of .91‐,93, and acceptable accuracies between groups (Figure 2). Conclusion To our knowledge, this is the first report on the use of harmonized Riemannaian norms in the age‐adjusted classification of EEGs from this condition.