Much of our knowledge about the neuronal organization of the cerebral cortex comes from studies of principal neurons. Only very recent works point to the critical role of inhibitory interneurons in the regulation of the complex interactions of principal cells, including population oscillations, plasticity, epileptic synchronization, hormonal effects and cortical development. There are several groups of hippocampal inhibitory cells with different properties and hypothesized functions. The goal of the project is to reveal the relationship between biochemical, afferent and target properties of hippocampal interneurons and their physiological function in the regulation of hippocampal networks. Intracellular labeling in vivo and in vitro will be used in order to compare physiological properties with the morphological and biochemical features of inhibitory cells. Recordings will be made from interneuron-principal cell pairs to examine synaptic inhibition mediated by dendritic and perisomatic contacts and to identify cells that activate GABA-A and GABA-B receptors. In in vivo experiments the discharge properties of interneurons will be correlated with behaviorally relevant population patterns. The whole axonal arbor of the interneurons will be reconstructed and their principal cell and other interneuronal targets will be quantitatively determined by light and electron microscopic methods. The peptide or calcium binding protein content of the recorded interneurons will be determined by double labeling techniques. The physiological actions of septohippocampal cholinergic and GABAergic afferents on hippocampal inhibitory cell excitability and on GABA release from inhibitory terminals will be investigated in a novel septohippocampal slice preparation. The findings will reveal the physiological function of different subclasses of interneurons, including a) timing of action potentials in spatially distinct principal cell populations, b) behavior-dependent control of afferent and intrahippocampal pathways and c) segregation of plasticity and neuronal transmission. Such knowledge is essential for understanding the consequences of interneuronal damage in disease.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
1R01MH054671-01A2
Application #
2034393
Study Section
Cognitive Functional Neuroscience Review Committee (CFN)
Program Officer
Streicher, Eugene
Project Start
1997-09-30
Project End
2000-04-30
Budget Start
1997-09-30
Budget End
1998-04-30
Support Year
1
Fiscal Year
1997
Total Cost
Indirect Cost
Name
Rutgers University
Department
Type
Organized Research Units
DUNS #
130029205
City
Newark
State
NJ
Country
United States
Zip Code
07102
Buzsáki, György; Tingley, David (2018) Space and Time: The Hippocampus as a Sequence Generator. Trends Cogn Sci 22:853-869
Oliva, Azahara; Fernández-Ruiz, Antonio; Fermino de Oliveira, Eliezyer et al. (2018) Origin of Gamma Frequency Power during Hippocampal Sharp-Wave Ripples. Cell Rep 25:1693-1700.e4
Watson, Brendon O; Ding, Mingxin; Buzsáki, György (2018) Temporal coupling of field potentials and action potentials in the neocortex. Eur J Neurosci 48:2482-2497
Lisman, John; Buzsáki, György; Eichenbaum, Howard et al. (2017) Viewpoints: how the hippocampus contributes to memory, navigation and cognition. Nat Neurosci 20:1434-1447
English, Daniel Fine; McKenzie, Sam; Evans, Talfan et al. (2017) Pyramidal Cell-Interneuron Circuit Architecture and Dynamics in Hippocampal Networks. Neuron 96:505-520.e7
Levenstein, Daniel; Watson, Brendon O; Rinzel, John et al. (2017) Sleep regulation of the distribution of cortical firing rates. Curr Opin Neurobiol 44:34-42
Fernández-Ruiz, Antonio; Oliva, Azahara; Nagy, Gerg? A et al. (2017) Entorhinal-CA3 Dual-Input Control of Spike Timing in the Hippocampus by Theta-Gamma Coupling. Neuron 93:1213-1226.e5
Khodagholy, Dion; Gelinas, Jennifer N; Buzsáki, György (2017) Learning-enhanced coupling between ripple oscillations in association cortices and hippocampus. Science 358:369-372
Roux, Lisa; Hu, Bo; Eichler, Ronny et al. (2017) Sharp wave ripples during learning stabilize the hippocampal spatial map. Nat Neurosci 20:845-853
Peyrache, Adrien; Schieferstein, Natalie; Buzsáki, Gyorgy (2017) Transformation of the head-direction signal into a spatial code. Nat Commun 8:1752

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