Samaneh Nemati, Teddy J Akiki, Jeremy Roscoe, Yumeng Ju, Christopher L Averill, Samar Fouda, Arpan Dutta, Shane McKie, John H Krystal, J F William Deakin, Lynnette A Averill, Chadi G Abdallah
More than six decades have passed since the discovery of monoaminergic antidepressants. Yet, it remains a mystery why these drugs take weeks to months to achieve therapeutic effects, although their monoaminergic actions are present rapidly after treatment. In an attempt to solve this mystery, rather than studying the acute neurochemical effects of antidepressants, here we propose focusing on the early changes in the brain functional connectome using traditional statistics and machine learning approaches. Capitalizing on three independent datasets (n = 1,261) and recent developments in data and network science, we identified a specific connectome fingerprint that predates and predicts response to monoaminergic antidepressants...
January 24, 2020: IScience