Computer methods in neuroanatomy: determining mutual orientation of whole neuronal arbors.

In most neurons orientation can be recognized because their arbors are more or less polarized and/or flattened. These are morphological characteristics of great functional importance. This paper deals with three-dimensional display and mathematical definition of orientation planes and vectors in whole arbors. An orientation plane can be derived from the flattest rectangular prism with which it is possible to enclose the arbor, or may be found by best-fit least square determination (based on all digitized points of the arbor). Both approaches allow description and comparison, in quantitative terms, of the orientation of neurons under various normal, pathological or experimental conditions.

[1]  Edmund M. Glaser,et al.  Snell's law: the bane of computer microscopists , 1982, Journal of Neuroscience Methods.

[2]  Jaap van Pelt,et al.  Descriptive and comparative analysis of geometrical properties of neuronal tree structures , 1986, Journal of Neuroscience Methods.

[3]  Jérôme Yelnik,et al.  Morphological taxonomy of the neurons of the primate striatum , 1991, The Journal of comparative neurology.

[4]  J. Calvet,et al.  Computer assisted analysis of HRP labelled and Golgi stained Purkinje neurons , 1984, Progress in Neurobiology.

[5]  R. Llinás,et al.  Automatic and Semiautomatic Analysis of Nervous System Structure , 1977 .

[6]  J. Yelnik,et al.  A computer-aided method for the quantitative analysis of dendritic arborizations reconstructed from serial sections , 1981, Journal of Neuroscience Methods.

[7]  M. Lowndes,et al.  A system for the reconstruction and analysis of dendritic fields , 1990, Journal of Neuroscience Methods.

[8]  M. Hofman,et al.  Morphometry of size/volume variables and comparison of their bivariate relations in the nervous system under different conditions , 1986, Journal of Neuroscience Methods.

[9]  Y. Burnod,et al.  Principal component analysis: a suitable method for the 3-dimensional study of the shape, dimensions and orientation of dendritic arborizations , 1983, Journal of Neuroscience Methods.

[10]  Edmund M. Glaser,et al.  The fan-in projection method for analyzing dendrite and axon systems , 1984, Journal of Neuroscience Methods.

[11]  E. Harth,et al.  A Computerized Study of Golgi-Impregnated Axons in Rat Visual Cortex , 1977 .

[12]  T. Blackstad,et al.  The central nucleus of the inferior colliculus in rat: A Golgi and computer reconstruction study of neuronal and laminar structure , 1993, The Journal of comparative neurology.

[13]  T W Blackstad,et al.  Computer programs for neuroanatomy: three-dimensional reconstruction and analysis of populations of cortical neurons and other bodies with a laminar distribution. , 1988, Computers in biology and medicine.

[14]  Malle Tagamets,et al.  Morphometry of spine‐free nonpyramidal neurons in rabbit auditory cortex , 1984, The Journal of comparative neurology.

[15]  R. Mooney,et al.  Structural and functional consequences of neonatal deafferentation in the superficial layers of the hamster's superior colliculus , 1992, The Journal of comparative neurology.

[16]  J. Calvet,et al.  The dendritic tress of purkinje cells: A computer assisted analysis of HRP labeled neurons in organotypic cultures of kitten cerebellum , 1983, Brain Research.

[17]  Christopher M. Brown,et al.  Neuron Orientations: A Computer Application , 1977 .

[18]  Jaap van Pelt,et al.  Statistical Analysis of Neuronal Populations , 1989 .

[19]  G. Percheron,et al.  Golgi study of the primate substantia nigra. II. Spatial organization of dendritic arborizations in relation to the cytoarchitectonic boundaries and to the striatonigral bundle , 1987, The Journal of comparative neurology.

[20]  T. Blackstad,et al.  Pyramidal neurones of the dorsal cochlear nucleus: A golgi and computer reconstruction study in cat , 1984, Neuroscience.

[21]  N. T. McMullen,et al.  Postnatal development of lamina III/IV nonpyramidal neurons in rabbit auditory cortex: Quantitative and spatial analyses of Golgi‐impregnated material , 1988, The Journal of comparative neurology.

[22]  C. K. Henkel,et al.  Dendritic morphology and development in the ferret medial superior olivary nucleus , 1990, The Journal of comparative neurology.

[23]  D. Hillman,et al.  Dendritic morphology of central auditory neurons correlates with their tonotopic position , 1990, The Journal of comparative neurology.

[24]  W M Cowan,et al.  Quantitative, three‐dimensional analysis of granule cell dendrites in the rat dentate gyrus , 1990, The Journal of comparative neurology.

[25]  B. Schofield,et al.  Organization of the superior olivary complex in the guinea pig. I. Cytoarchitecture, cytochrome oxidase histochemistry, and dendritic morphology , 1991, The Journal of comparative neurology.