Skip to main content Accessibility help
×
Hostname: page-component-77c89778f8-fv566 Total loading time: 0 Render date: 2024-07-19T13:21:24.402Z Has data issue: false hasContentIssue false

9 - Geography of the dendritic space

Published online by Cambridge University Press:  03 May 2010

Sergiy Mikhailovich Korogod
Affiliation:
Dniepropetrovsk National University, Ukraine
Suzanne Tyč-Dumont
Affiliation:
CNRS, Marseille
Get access

Summary

Biological neurons have complex and diverse shape and size, which are mainly defined by their dendritic arborization (see Chapter 2). Considering the complex arborizations given by nature one can recognize the elementary structures considered in Chapters 7 and 8. The uniform segments, symmetrical or, more often, asymmetrical bifurcations as structural components are present in biological arborizations en masse and in various, unpredictable combinations. The geometrical information required for building the electrical structure of biological dendrites is the same as for the elementary artificial dendritic structures: the branching pattern, lengths and diameters of the branches, whereas the 3D organization does not matter. In the 3D biological arborization, because of the complexity all these structural details are seen hardly if at all, and so retrieving and relating the structural and electrical features are hampered. To deal with this problem we have to separate different aspects of geometry of the dendritic space.

One aspect could be considered as intrinsic, irrelevant of the 3D arrangement of a neuron in the space of the brain or spinal cord. The components of the dendritic structure are characterized only in terms of their lengths and diameters. The multiplicity of the structural components (paths, branches and bifurcations) imparts the complexity to the biological dendrites. In a given arborization, one meets unpredictably connected branches with unpredictably varying lengths and heterogeneous diameters and, in that sense, the dendritic geometry is stochastic both topologically and metrically.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bras, H., Gogan, P. and Tyč-Dumont, S. (1987). The dendrites of single brain-stem motoneurons intracellularly labelled with horseradish peroxidase in the cat. Morphological and electrical differences. Neuroscience, 22:947–970.CrossRef
Bras, H., Korogod, S. M., Driencourt, Y., Gogan, P. and Tyč-Dumont, S. (1993). Stochastic geometry and electrotonic architecture of dendritic arborization of a brain-stem motoneuron. Eur. J. Neurosci., 5:1485–1493.CrossRef
Bras, H., Lahjouji, F., Korogod, S. M., Kulagina, I. B. and Barbe, A. (2003). Heterogeneous synaptic covering and differential charge transfer sensitivity among the dendrites of a reconstructed abducens motor neurone: correlations between electron microscopic and computer simulation data. J. Neurocytol., 32:5–24.CrossRef
Durand, J. (1989). Electrophysiological and morphological properties of rat abducens motoneurones. Exp. Brain Res., 76:141–152.CrossRef
Durand, J., Gogan, P., Gueritaud, J., Horcholle-Bossavit, G. and Tyč-Dumont, S. (1983). Morphological and electrophysiological properties of trigeminal neurones projecting to the accessory abducens nucleus of the cat. Exp. Brain Res., 53:118–128.CrossRef
Fiala, J. C. and Harris, K. M. (1999). Dendrite structure. In Stuart, G., Spruston, N. and Hausser, M. (eds.), Dendrites, p. 1–34, Oxford: Oxford University Press.Google Scholar
Grant, K., Gueritaud, J., Horcholle-Bossavit, G. and Tyč-Dumont, S. (1979). Morphological characteristics of lateral rectus motoneurones shown by intracellular injection of HRP. J. Physiol. (Paris), 75:513–519.
Korogod, S. M., Bras, H., Sarana, V. N., Gogan, P. and Tyč-Dumont, S. (1994). Electrotonic clusters in the dendritic arborization of abducens motoneurons of the rat. Eur. J. Neurosci., 6:1517–1527.CrossRef
Korogod, S. M., Kulagina, I. B., Horcholle-Bossavit, G., Gogan, P. and Tyč-Dumont, S. (2000). Activity-dependent reconfiguration of the effective dendritic field of motoneurons. J. Comp. Neurol., 422:18–34.3.0.CO;2-A>CrossRef
Kulagina, I. B., Korogod, S. M., Horcholle-Bossavit, G., Batini, C. and Tyč-Dumont, S. (2007). The electro-dynamics of the dendritic space in Purkinje cells of the cerebellum. Arch. Ital. Biol., 145:211–233.
Llinas, R. and Hillman, D. E. (1969). Physiological and morphological organization of the cerebellar circuits in various vertebrates. In Llinas, R. (ed.), Neurobiology of Cerebellar Evolution and Development, p. 43–73, Chicago: AMA-ERF Institute for Biomedical Research.
Lubke, J., Egger, V., Sakmann, B. and Feldmeyer, D. (2000). Columnar organization of dendrites and axons of single and synaptically coupled excitatory spiny neurons in layer 4 of the rat barrel cortex. J. Neurosci., 20:5300–5311.CrossRef
Mainen, Z. and Sejnowski, T. (1996). Influence of dendritic structure on firing pattern in model neocortical neurons. Nature, 382:363–366.CrossRef
Migliore, M. and Shepherd, G. M. (2005). Opinion: an integrated approach to classifying neuronal phenotypes. Nat. Rev. Neurosci., 6:810–818.CrossRef
Ramon-Moliner, E. and Nauta, W. J. H. (1966). The iso-dendritic core of the brain stem. J. Comp. Neurol., 126:311–335.CrossRef
Ramon y Cajal, S. (1911). Histologie du Systéme Nerveux de l'Homme et des Vertébrés, Paris: Maloine.
Rapp, M., Segev, Y. and Yarom, Y. (1994). Physiology, morphology and detailed passive models of guinea-pig cerebellar Purkinje cells. J. Physiol., 474:101–108.CrossRef
Roth, A. and Hausser, M. (2001). Compartmental models of rat cerebellar Purkinje cells based on simultaneous somatic and dendritic patch-clamp recordings. J. Physiol., 535:445–472.CrossRef
Sherrington, C. (1952). The Integrative Action of the Nervous System, London: Cambridge University Press.
Vigot, R. and Batini, C. (1997). GABAB receptor activation in Purkinje cells in cerebellar slices. Neurosci. Res., 29:151–160.CrossRef
Vigot, R. and Batini, C. (1999). Purkinje cell inhibitory responses to 3-APPA (3-aminopropylphosphinic acid) in rat cerebellar slices. Neurosci. Res., 34:141–147.CrossRef

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×