Leena Lauronen

This paper describes a method to obtain brain tissue for omic analyses using SEEG electrodes, showing concordant transcriptomic and proteomic findings across different epileptic zones.

This study uses Bayesian reduced-rank regression to extract stable neural fingerprints from EEG data of children during nREM sleep, showing increased fingerprint stability with age.

This paper develops a functional brain age (FBA) measure from EEG data in children, showing high accuracy in tracking neurodevelopmental maturation.

The paper characterizes the clinical and molecular features of 36 individuals with SETD1B variants, identifying a core phenotype of developmental delay and variable epilepsy, with male predominance and potential sex-linked effects.