A convergent depression vulnerability pathway encoded by emergent spatiotemporal dynamics
Rainbo C. Hultman, Kyle Ulrich, Benjamin D. Sachs, Cameron Blount, David Carlson, Nkemdilim Ndubuizu, Rosemary C. Bagot, Eric M. Parise, Mai-Anh T. Vu, Joyce Wang, Alcino J. Silva, Karl A. Deisseroth, Stephen D. Mague, Marc G. Caron, Eric J. Nestler, , Kafui Dzirasa
The paper identifies a spatiotemporal dynamic network in the brain associated with depression vulnerability using machine learning and LFP data from stressed mice.
bioRxiv · Jun 23, 2017 · PreprintNeuroscience