This competing renewal application focuses on the influence of cellular mechanisms on the coding of space by grid cells, head direction cells and conjunctive grid-by-head-direction cells in the rat medial entorhinal cortex.
Specific Aim #1 : In this aim, the properties of grid cells, conjunctive grid-by-head-direction cells and head direction cells will be analyzed with recordings of multiple single units in medial entorhinal cortex. The dynamical properties of firing will be analyzed for theta cycle skipping and theta phase precession relative to entorhinal theta rhythm oscillations, for the interaction of entorhinal rhythmic activity with hippocampal rhythmic activity in the field potential, and for the effects of local infusions of pharmacological agents. Computational biophysical network models based on recent anatomical data will combine features of oscillatory dynamics and attractor dynamics to address how the neural properties observed in recordings before and during pharmacological manipulations could arise from interactions of intrinsic properties with excitatory and inhibitory synaptic input.
Specific Aim #2 : In this aim, experiments will analyze specific cellular properties of entorhinal neurons that could contribute to the dynamical properties of grid cell firing. Experiments will include testing the phase of spiking dynamics relative to rhythmic synaptic input to analyze potential cellular mechanisms of grid cell firing properties. Experiments will als address the resonance properties of entorhinal interneurons and the influence of modulatory receptors on entorhinal interneuron firing properties. In vitro intracellular recordings will be compared with in vivo intracellular recordings during local infusions of pharmacological agents to determine how the intracellular properties extend to the intact circuits. Experiments will be guided by multicompartmental biophysical simulations analyzing how intrinsic membrane currents influence the response to synaptic input and how this could lead to the generation of spiking patterns in entorhinal grid cells, head direction cells and conjunctive grid-by-head-direction cells. The results of these experimental and computational studies can elucidate cellular and network mechanisms for generation of grid cells and their spiking relative to field potential oscillations. Investigating these cellular mechanisms may help understanding how events within an episode are encoded into memory. The analysis of effects of modulatory influences will provide insight into the dynamics underlying grid cell firing properties and into how drugs affect memory function. This influence on memory function could be part of the therapeutic effect of drugs used for treatment of anxiety disorders and depression. This analysis of entorhinal mechanisms for memory is also relevant to understanding the memory deficits associated with disorders that reduce the volume of hippocampus and entorhinal cortex, including Alzheimer's disease, depression and schizophrenia.

Public Health Relevance

This grant focuses on the brain rhythms involved in storing the location where events in an episode take place. This work includes experiments testing the activity of individual brain cells in relation to brain rhythms and location during behavior, and testing the effects of drugs on the rhythms of brain circuits and single cells. These tests could b relevant to understanding how drugs could influence the distortions of memory involved in mental disorders such as depression, which causes memory impairments and a negative bias in memories, as well as schizophrenia, which involves impairments and distortions in memory function.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
2R01MH061492-11A1
Application #
8577234
Study Section
Special Emphasis Panel (ZRG1-IFCN-T (02))
Program Officer
Glanzman, Dennis L
Project Start
2000-05-15
Project End
2018-06-30
Budget Start
2013-07-01
Budget End
2014-06-30
Support Year
11
Fiscal Year
2013
Total Cost
$409,250
Indirect Cost
$159,250
Name
Boston University
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
049435266
City
Boston
State
MA
Country
United States
Zip Code
02215
Dannenberg, Holger; Hinman, James R; Hasselmo, Michael E (2016) Potential roles of cholinergic modulation in the neural coding of location and movement speed. J Physiol Paris 110:52-64
Shay, Christopher F; Ferrante, Michele; Chapman 4th, G William et al. (2016) Rebound spiking in layer II medial entorhinal cortex stellate cells: Possible mechanism of grid cell function. Neurobiol Learn Mem 129:83-98
Ferrante, Michele; Shay, Christopher F; Tsuno, Yusuke et al. (2016) Post-Inhibitory Rebound Spikes in Rat Medial Entorhinal Layer II/III Principal Cells: In Vivo, In Vitro, and Computational Modeling Characterization. Cereb Cortex :
Hinman, James R; Brandon, Mark P; Climer, Jason R et al. (2016) Multiple Running Speed Signals in Medial Entorhinal Cortex. Neuron 91:666-79
Ferrante, Michele; Tahvildari, Babak; Duque, Alvaro et al. (2016) Distinct Functional Groups Emerge from the Intrinsic Properties of Molecularly Identified Entorhinal Interneurons and Principal Cells. Cereb Cortex :
Tiganj, Zoran; Hasselmo, Michael E; Howard, Marc W (2015) A simple biophysically plausible model for long time constants in single neurons. Hippocampus 25:27-37
Raudies, Florian; Brandon, Mark P; Chapman, G William et al. (2015) Head direction is coded more strongly than movement direction in a population of entorhinal neurons. Brain Res 1621:355-67
Climer, Jason R; DiTullio, Ronald; Newman, Ehren L et al. (2015) Examination of rhythmicity of extracellularly recorded neurons in the entorhinal cortex. Hippocampus 25:460-73
Raudies, Florian; Hasselmo, Michael E (2015) Differences in Visual-Spatial Input May Underlie Different Compression Properties of Firing Fields for Grid Cell Modules in Medial Entorhinal Cortex. PLoS Comput Biol 11:e1004596
Tsuno, Yusuke; Chapman, George W; Hasselmo, Michael E (2015) Rebound spiking properties of mouse medial entorhinal cortex neurons in vivo. Eur J Neurosci 42:2974-84

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