Auteurs
Loko MB - Panayotis N - Roux JC - Alexandre F - Parrot S
Journal
Journal of neuroscience methods
Abstract
Rett syndrome is a genetic neurodevelopmental disorder caused by mutations of the MECP2 gene. It is characterized by severe neurological, cognitive, autonomic, and motor dysfunctions. Central catecholaminergic deficits, together with alterations in GABAergic and glutamatergic systems, have previously been identified in the brain of Mecp2 knockout mice using conventional data analyses. Here, we reanalyzed neurochemical data from this well-established mouse model using machine-learning approaches to identify new neurochemical information.