With the increase of large collaboration and data sharing, EEG data faces the critical barrier of replicability and data pooling problems. Especially for quantitative EEG (qEEG) analysis. the characterized age-frequency distribution of log-spectrum may lose reliability for clinical diagnosis when people gather datasets from different sites recorded at a different time with varying data acquisition protocols because of batch effects. These issues must be addressed and further factors identified on a global scale.

This project will exhance the studies on malnutrition in early life and its long-term effects on mental health and brain development over the lifespan and across generations. The initial project will focus on the Barbados Nutrition Study, a 50+ year longitudinal study that has followed the children with histories of malnutrition, their offspring and grandchildren and identified intergenerational effects of early life malnutrition and associated behavioral and mental health outcomes. An important aspect is the identification of early brain biomarkers of child malnutrition that predict adverse mental health outcomes in middle and late adulthood.

COVID-19-Induced Brain Dysfunction (CIBD) will cause strain on world health systems as a result of the heterogeneity of manifestations. Neural, psychological, and social factors must be disentangled for effective population-level management of CIBD. This requires international cooperation leveraging open science and neurotechnologies appropriate for health systems. This project will attempt to organize an international collaboration towards this goal.