Gamma band (30-90 Hz) oscillations are hypothesized to play an important role in normal cognition, including memory encoding and retrieval, attention and perception. Gamma synchrony is abnormally regulated in many disorders, such as epilepsy, schizophrenia and dementias such as Alzheimer's disease. Distinct mechanisms likely underlie gamma oscillations in different brain areas, and mechanisms may also vary within the same brain area under different conditions. Models of these diverse mechanisms generally assume that interneurons function as integrators that can fire at arbitrarily low rates (type 1 excitability). In contrast, resonator neurons have an abrupt threshold at a nonzero minimum firing frequency (type 2 excitability). We have previously shown that the fast spiking (FS), parvalbumin-positive (PV+) basket cell interneurons in the medial entorhinal cortex (MEC) are type 2, and exhibit strong resonance and post-inhibitory rebound (PIR). Moreover, our theo- retical work shows these features enhance the ability to synchronize in heterogeneous, sparsely-connected noisy networks.
Aim 1 will focus on the biophysical basis for PIR and type 2 excitability in FS cells in mouse MEC and hippocampal area CA3 in vitro.
Aim 2 will use models of CA3 and MEC FS cells from Aim 1 embed- ded in excitatory/inhibitory networks to develop new theory to identify and optimally manipulate the various mechanisms underlying gamma synchrony. We will analyze different slices of the parameter space to find or- ganizing principles for distinct gamma mechanisms and how to distinguish between them. We will develop the- oretical methods to account for the effect of jitter in spike times. This theory may lead to better design of poten- tial therapies for cognitive deficits.
Aim 3 will test the theoretical predictions of optimally gated transitions into theta-nested gamma in the MEC in vitro using optogenetic control of extrinsic inputs. We will test the hypothe- ses that both excitatory and inhibitory theta-locked signals can evoke nested gamma oscillations during opto- genetically-induced theta in the MEC by aligning the phases of the FS interneurons. A consistent reset of the theta phase of gamma oscillations is required in many coding schemes; we expect that multiple reset mecha- nisms may be operative in the MEC. Our central hypothesis is that the excitability type of inhibitory interneu- rons controls the type and robustness of oscillations exhibited in excitatory/inhibitory networks.

Public Health Relevance

Synchronous activity likely plays a role in normal cognition, and is abnormally regulated in many disorders, such as epilepsy, schizophrenia and dementias including Alzheimer's disease. We will extend the theory for multiple postulated mechanisms underlying this activity, in a tight synergistic loop with experiments conducted on interneuronal networks in the mouse hippocampal formation. A better understanding of mechanisms for synchronous activity may lead to improved therapies for these disorders.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS054281-11
Application #
9751977
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Gnadt, James W
Project Start
2005-09-15
Project End
2023-04-30
Budget Start
2019-05-01
Budget End
2020-04-30
Support Year
11
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Louisiana State Univ Hsc New Orleans
Department
Neurosciences
Type
Schools of Medicine
DUNS #
782627814
City
New Orleans
State
LA
Country
United States
Zip Code
70112
Canavier, Carmen C; Tikidji-Hamburyan, Ruben A (2017) Globally attracting synchrony in a network of oscillators with all-to-all inhibitory pulse coupling. Phys Rev E 95:032215
Norman, Sharon E; Butera, Robert J; Canavier, Carmen C (2016) Stochastic slowly adapting ionic currents may provide a decorrelation mechanism for neural oscillators by causing wander in the intrinsic period. J Neurophysiol 116:1189-98
Hooper, Ryan M; Tikidji-Hamburyan, Ruben A; Canavier, Carmen C et al. (2015) Feedback control of variability in the cycle period of a central pattern generator. J Neurophysiol 114:2741-52
Tikidji-Hamburyan, Ruben A; Martínez, Joan José; White, John A et al. (2015) Resonant Interneurons Can Increase Robustness of Gamma Oscillations. J Neurosci 35:15682-95
Canavier, Carmen C (2015) Phase-resetting as a tool of information transmission. Curr Opin Neurobiol 31:206-13
Soofi, Wafa; Prinz, Astrid A (2015) Differential effects of conductances on the phase resetting curve of a bursting neuronal oscillator. J Comput Neurosci 38:539-58
Tikidji-Hamburyan, Ruben; Lin, Eric C; Gasparini, Sonia et al. (2014) Effect of heterogeneity and noise on cross frequency phase-phase and phase-amplitude coupling. Network 25:38-62
Thounaojam, Umeshkanta S; Cui, Jianxia; Norman, Sharon E et al. (2014) Slow noise in the period of a biological oscillator underlies gradual trends and abrupt transitions in phasic relationships in hybrid neural networks. PLoS Comput Biol 10:e1003622
Canavier, Carmen C; Wang, Shuoguo; Chandrasekaran, Lakshmi (2013) Effect of phase response curve skew on synchronization with and without conduction delays. Front Neural Circuits 7:194
Wang, Shuoguo; Musharoff, Maximilian M; Canavier, Carmen C et al. (2013) Hippocampal CA1 pyramidal neurons exhibit type 1 phase-response curves and type 1 excitability. J Neurophysiol 109:2757-66

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