The brain is able to perform complex processes through communication across functionally distinct brain regions. Neural oscillations, or brain waves/rhythms, including those in the gamma frequency range (~25 140 Hz), may play a critical role in this form of communication. Neural oscillations represent periodic, synchronous activity across large groups of neurons. When oscillations in one region are synchronous with oscillations in another, their neuronal activity is temporally aligned, and thus region-to-region communication is facilitated. In this way, oscillatory synchrony may gate the flow of information between specific regions of the brain, creating transient ensembles unique to given brain processes. Importantly, this modulation of connectivity is rapid, reversible, and independent of physical changes to the underlying circuitry. Recent evidence suggests that the hippocampus, a region central to memory function, may utilize gamma oscillations in this way. Gamma oscillations in the hippocampus occur as two variants a slow gamma form (~25 55 Hz) and a fast gamma form (~65 140 Hz). Each variant occurs at separate times and synchronizes anatomically distinct hippocampal sub-regions. Specifically, slow gamma links areas CA3 and CA1, a circuit implicated in memory retrieval, while fast gamma links the medial entorhinal cortex (MEC) and CA1, a circuit thought necessary for memory encoding. We therefore hypothesize that slow gamma synchrony enhances CA1 CA3 communication and is necessary for proper memory retrieval, while fast gamma synchrony enhances MEC CA1 communication and is necessary for proper memory encoding. This hypothesis will be tested by examining differences in oscillatory and single cell activity in the hippocampus during each memory function (retrieval and encoding). We expect to see enhanced fast gamma activity during memory encoding and enhanced slow gamma activity during memory retrieval.
Specific Aim 1 will examine this hypothesis at the cellular level by measuring the activity of place cells, which represent the where component of memory. These cells exhibit unique firing properties during memory encoding vs. memory retrieval, providing a convenient method for determining the effects of slow and fast gamma on different memory functions.
Specific Aim 2 will examine this hypothesis at the behavioral level by measuring fast and slow gamma activity during a simple learning task. The results of the proposed experiments are expected to provide insights into the link between oscillatory activity and complex brain function, and lead to a deeper understanding of the role of aberrant oscillations in the generation of cognitive dysfunction.
Gamma oscillations exhibit unique and heritable aberrations in several prevalent diseases of cognition; such as schizophrenia and autism. Such illnesses represent a considerable cost to society; and understanding the physiology of gamma oscillations may help to explain the underlying source of cognitive dysfunction. The study of gamma oscillations may also lead to early screening methods that are cost-effective; non-invasive; and able to detect high-risk individuals prior to the onset of symptoms when treatment is most effective.
|Zheng, Chenguang; Bieri, Kevin Wood; Hsiao, Yi-Tse et al. (2016) Spatial Sequence Coding Differs during Slow and Fast Gamma Rhythms in the Hippocampus. Neuron 89:398-408|
|Zheng, Chenguang; Wood Bieri, Kevin; Hwaun, Ernie et al. (2016) Fast Gamma Rhythms in the Hippocampus Promote Encoding of Novel Object-Place Pairings. eNeuro 3:|
|Zheng, Chenguang; Bieri, Kevin Wood; Trettel, Sean Gregory et al. (2015) The relationship between gamma frequency and running speed differs for slow and fast gamma rhythms in freely behaving rats. Hippocampus 25:924-38|
|Bieri, Kevin Wood; Bobbitt, Katelyn N; Colgin, Laura Lee (2014) Slow and fast Î³ rhythms coordinate different spatial coding modes in hippocampal place cells. Neuron 82:670-81|