Orthogonal Arrangement of Rhythm-Generating Microcircuits in the Hippocampus

As a structure involved in learning and memory, the hippocampus functions as a network. The functional differentiation along the longitudinal axis of the hippocampus is poorly demarcated in comparison with the transverse axis. Using patch clamp recordings in conjunction with post hoc anatomy, we hav...

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Bibliographic Details
Published in:Proceedings of the National Academy of Sciences - PNAS 2005-09, Vol.102 (37), p.13295-13300
Main Authors: Gloveli, Tengis, Dugladze, Tamar, Rotstein, Horacio G., Traub, Roger D., Monyer, Hannah, Heinemann, Uwe, Whittington, Miles A., Kopell, Nancy J.
Format: Article
Language:English
Subjects:
Anatomy & physiology
Animals
Axons
Biological Sciences
Brain
Electric current
Electrodes
Electroencephalography
Hippocampus
Hippocampus - anatomy & histology
Hippocampus - cytology
Hippocampus - physiology
Interneurons
Mice
Mice, Inbred C57BL
Microelectronics
Nerve Net
Neural networks
Neurology
Neurons
Neuroscience
Patch-Clamp Techniques
Pyramidal Cells
Theta Rhythm
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Summary:As a structure involved in learning and memory, the hippocampus functions as a network. The functional differentiation along the longitudinal axis of the hippocampus is poorly demarcated in comparison with the transverse axis. Using patch clamp recordings in conjunction with post hoc anatomy, we have examined the pattern of connectivity and the functional differentiation along the long axis of the hippocampus. Here, we provide anatomical and physiological evidence that the prominent rhythmic network activities of the hippocampus, the behavior-specific gamma and theta oscillations, are seen predominantly along the transverse and longitudinal axes respectively. This orthogonal relationship is the result of the axonal field trajectories and the consequential interaction of the principal cells and major interneuron subtypes involved in generating each rhythm. Thus, the axonal arborization patterns of hippocampal inhibitory cells may represent a structural framework for the spatiotemporal distribution of activity observed within the hippocampus.
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.0506259102