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8 - Theta rhythm and bidirectional plasticity in the hippocampus

Published online by Cambridge University Press:  14 August 2009

By
James M. Hyman  and
Michael E. Hasselmo
Edited by
Christian Holscher  and
Matthias Munk
Christian Holscher
Affiliation:
University of Ulster
Matthias Munk
Affiliation:
Max-Planck-Institut für biologische Kybernetik, Tübingen
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Summary

Introduction

The local field potential from the hippocampus of an awake, stationary animal is filled with seemingly random low-amplitude high-frequency activity and arrhythmic high-amplitude low-frequency activity. To the untrained eye it is nearly impossible to discern any clear patterns or relationships of the signal to behavior, as the local field potential appears to be only noise. Then something striking happens, as the animal starts to move around, an extremely rhythmic high-amplitude 6–10-Hz sinusoidal waveform appears and instantly offers a window into the relationship between the hippocampal field potential and the animal's behavior. When Green and Arduini (1954) first recorded local field potentials activity from the hippocampus of behaving animals they saw this rhythmic activity (theta rhythm; 6–10-Hz high-amplitude sinusoidal activity: Buzsáki et al., 1986) and it was clear to them that theta rhythm played a significant role in hippocampal function. Theta appeared whenever the animal walked, ran, sniffed, oriented, reared, or went into rapid eye movement (REM) sleep, and theta was notably absent during consummatory behaviors (eating and drinking), grooming, and slow wave sleep.

The nature of theta's role in hippocampal processing was somewhat clarified when studies of the effect of hippocampectomy in humans and rodents were performed, and the hippocampus's central role in associative memory was suggested (Scoville and Milner, 1957; Morris et al., 1982). Since those original studies, further work has shown memory impairments in a wide range of behavioral and cognitive tasks that utilize multiple sensory modalities and behavioral responses (Eichenbaum, 2000).

Type
Chapter
Information
Information Processing by Neuronal Populations , pp. 174 - 191
Publisher: Cambridge University Press
Print publication year: 2008

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