Several neuropsychiatric disorders show extensive pathology in the input layer to the hippocampus, the dentate gyrus. One set of symptoms common to these diseases is impairments in memory that are consistent with proposed dentate gyrus function, such as deficits in episodic memory and working memory. Little is known, however, about the neural network mechanisms that underlie dentate gyrus memory encoding.
In Aim 1 we will elucidate the dentate gyrus network mechanisms that support memory encoding by recording from dentate neuronal populations in awake behaving animals while they perform a dentate gyrus dependent working-memory task.
In Aim 2 we will look at the contribution of individual classes of dentate neurons to the neural network computations essential for memory encoding, as several diseases differentially target individual classes of neurons. Completion of these aims will provide the framework to compare healthy network processes that underlie memory formation to disease processes, and may lead to therapeutic targets.
The observation that the human memory system is the victim to many mental diseases suggests that there may be something about how this network functions normally that makes it susceptible to a wide array of disease. This project aims to uncover the network mechanisms that underlie memory formation, in the hope that advancing the knowledge of how the network functions normally will have implications for prevention and treatment of disease.
|Ewell, Laura A; Liang, Liang; Armstrong, Caren et al. (2015) Brain State Is a Major Factor in Preseizure Hippocampal Network Activity and Influences Success of Seizure Intervention. J Neurosci 35:15635-48|