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000003698 0247_ $$2DOI$$a10.1093/cercor/bhn138
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000003698 084__ $$2WoS$$aNeurosciences
000003698 1001_ $$0P:(DE-HGF)0$$aHelmstaedter, M.$$b0
000003698 245__ $$aThe Relation between Dendritic Geometry, Electrical Excitability, and Axonal Projections of L2/3 Interneurons in Rat Barrel Cortex
000003698 260__ $$aOxford$$bOxford Univ. Press$$c2009
000003698 300__ $$a938 - 950
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000003698 440_0 $$01171$$aCerebral Cortex$$v19$$x1047-3211$$y4
000003698 500__ $$aThis work was supported by the Max-Planck Society.
000003698 520__ $$aInterneurons in layer 2/3 (L2/3) of the somatosensory cortex show 4 types of axonal projection patterns with reference to the laminae and borders of columns in rat barrel cortex (Helmstaedter et al. 2008a). Here, we analyzed the dendritic geometry and electrical excitability of these interneurons. First, dendritic polarity, measured based on the insertion points of primary dendrites on the soma surface, yielded a continuous one-dimensional measure without a clustering of dendritic polarity types. Secondly, we analyzed polar and vertical distributions of dendritic length. A cluster analysis allowed the definition of 7 types of dendritic arborization. Thirdly, when dendritic polarity was related to the intrinsic electrical excitability we found that the ratio of frequency adaptation in trains of action potentials (APs) evoked by current injection was correlated with the number of primary dendrites. Numerical simulations of spiking patterns in L2/3 interneurons suggested that the number of primary dendrites could account for up to 50% of this correlation. Fourthly, dendritic arborization was not correlated with axonal projection, and axonal projection types could not be predicted by electrical excitability parameters. We conclude that 1) dendritic polarity is correlated to intrinsic electrical excitability, and 2) the axonal projection pattern represents an independent classifier of interneurons.
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000003698 65320 $$2Author$$abarrel cortex
000003698 65320 $$2Author$$acluster analysis
000003698 65320 $$2Author$$adendrites
000003698 65320 $$2Author$$aelectrical excitability
000003698 65320 $$2Author$$aGABAergic interneuron
000003698 65320 $$2Author$$alayer 2
000003698 65320 $$2Author$$a3
000003698 65320 $$2Author$$asimulation
000003698 650_2 $$2MeSH$$aAnimals
000003698 650_2 $$2MeSH$$aAxons: physiology
000003698 650_2 $$2MeSH$$aCerebral Cortex: cytology
000003698 650_2 $$2MeSH$$aCerebral Cortex: physiology
000003698 650_2 $$2MeSH$$aDendrites: physiology
000003698 650_2 $$2MeSH$$aExcitatory Postsynaptic Potentials: physiology
000003698 650_2 $$2MeSH$$aInterneurons: cytology
000003698 650_2 $$2MeSH$$aInterneurons: physiology
000003698 650_2 $$2MeSH$$aMembrane Potentials: physiology
000003698 650_2 $$2MeSH$$aNeural Pathways: physiology
000003698 650_2 $$2MeSH$$aRats
000003698 650_2 $$2MeSH$$aRats, Wistar
000003698 650_7 $$2WoSType$$aJ
000003698 7001_ $$0P:(DE-HGF)0$$aSakmann, B.$$b1
000003698 7001_ $$0P:(DE-Juel1)131680$$aFeldmeyer, D.$$b2$$uFZJ
000003698 773__ $$0PERI:(DE-600)1483485-6$$a10.1093/cercor/bhn138$$gVol. 19, p. 938 - 950$$p938 - 950$$q19<938 - 950$$tCerebral cortex$$v19$$x1047-3211$$y2009
000003698 8567_ $$uhttp://dx.doi.org/10.1093/cercor/bhn138
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