Neuroscience 2005 Abstract
Presentation Number: | 198.9 |
---|---|
Abstract Title: | Identification of CA1 interneuron types in single-unit recordings from freely behaving rats. |
Authors: |
Ganter, P.*1
; Leutgeb, J. K.1
; Leutgeb, S.1
; Moser, M. B.1
; Moser, E. I.1
1Ctr. Biology Memory, Trondheim, Norway |
Primary Theme and Topics |
Cognition and Behavior - Animal Cognition and Behavior -- Learning and memory: Physiology and imaging |
Session: |
198. Place Cells III Poster |
Presentation Time: | Sunday, November 13, 2005 8:00 AM-9:00 AM |
Location: | Washington Convention Center - Hall A-C, Board # MM26 |
Keywords: | INTERNEURON, IN VIVO, RAT, HIPPOCAMPUS |
Specific types of interneurones have distinct functional roles for cortical processing. One of the defining characteristics in this respect is their anatomical embedding within local networks. Unfortunately, single unit recordings, as used in freely behaving animals, currently do not allow the anatomical identification of the recorded cells. However, identification of the cell type recorded is prerequisite for our understanding of their function in the network. The aim of the current project is to develop criteria for a classification of interneurones in recordings from freely behaving animals. After developing the methodology to characterise the extracellular waveshape of anatomically identified cells in vitro (cf. Ganter et al., SfN 2004) we use these results to analyse data from cells in stratum oriens of CA1 in freely behaving rats. Amongst the different types of interneurones (putative) O-LM cells could be distinguished in vitro by a late component lasting for about 10 ms possibly reflecting a dendritic potassium current. This was also seen in single unit recordings from behaving animals if their signals were acquired continuously and broadband-filtered (1-9000 Hz). The data also revealed state-dependent activation and phase relations to ongoing theta oscillations, which could clearly be seen in spike triggered averages of the locally recorded extracellular field. This is consistent with previous reports showing that interneurones are differentially activated or silent during distinct network states (Klausberger et al., 2003, 2004). We suggest that the combination of the temporal profile of interneurone firing, characteristic features of their waveshapes and phase relations to different types of ongoing field oscillations can be used to distinguish several distinct types of interneurones in behaving animals.
Supported by Norw. Res. Council Ctr. Of Excellence Grant
Sample Citation:
[Authors]. [Abstract Title]. Program No. XXX.XX. 2005 Neuroscience Meeting Planner. Washington, DC: Society for Neuroscience, 2005. Online.
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