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We evaluated the possibility to employ a Machine Learning approach to assess the dose-dependency of antidepressants, with distinct mechanisms of action: fluoxetine and maprotiline in wild-type C57BL/6 mice.
This new analysis pipeline provides a tool to more quickly and objectively assess the effects of compounds in development and compare them to existing reference drugs for various indications.
To investigate a translatable model related to tau pathology, we studied changes in EEG characteristics with age in the P301L tauopathy mouse model.
In this poster, we identify functional signatures in mice using qEEG and related methodologies (Phase Amplitude Coupling and cPAC).
The goal: Defining the potential specific signature associated with a therapeutic class of compounds.