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Titolo:
Computer generation and quantitative morphometric analysis of virtual neurons
Autore:
Ascoli, GA; Krichmar, JL; Scorcioni, R; Nasuto, SJ; Senft, SL;
Indirizzi:
George Mason Univ, Krasnow Inst Adv Study, Fairfax, VA 22030 USA George Mason Univ Fairfax VA USA 22030 t Adv Study, Fairfax, VA 22030 USA George Mason Univ, Dept Psychol, Fairfax, VA 22030 USA George Mason Univ Fairfax VA USA 22030 ept Psychol, Fairfax, VA 22030 USA Inst Neurosci, San Diego, CA USA Inst Neurosci San Diego CA USAInst Neurosci, San Diego, CA USA
Titolo Testata:
ANATOMY AND EMBRYOLOGY
fascicolo: 4, volume: 204, anno: 2001,
pagine: 283 - 301
SICI:
0340-2061(200110)204:4<283:CGAQMA>2.0.ZU;2-E
Fonte:
ISI
Lingua:
ENG
Soggetto:
DENDRITIC MORPHOLOGY; PARSIMONIOUS DESCRIPTION; CELLS;
Keywords:
3D models; ArborVitae; computational neuroanatomy; dendritic morphology; L-neuron; virtual neurons;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
27
Recensione:
Indirizzi per estratti:
Indirizzo: Ascoli, GA George Mason Univ, Krasnow Inst Adv Study, MS2A1,4400 Univ Dr, Fairfax, VA22030 USA George Mason Univ MS2A1,4400 Univ Dr Fairfax VA USA 22030 0 USA
Citazione:
G.A. Ascoli et al., "Computer generation and quantitative morphometric analysis of virtual neurons", ANAT EMBRYO, 204(4), 2001, pp. 283-301

Abstract

An important goal in computational neuroanatomy is the complete and accurate simulation of neuronal morphology. We are developing computational toolsto model three-dimensional dendritic structures based on sets of stochastic rules. This paper reports an extensive, quantitative anatomical characterization of simulated motoneurons and Purkinje cells. We used several local and global algorithms implemented in the L-Neuron and ArborVitae programs to generate sets of virtual neurons. Parameters statistics for all algorithms were measured from experimental data, thus providing a compact and consistent description of these morphological classes. We compared the emergent anatomical features of each group of virtual neurons with those of the experimental database in order to gain insights on the plausibility of the modelassumptions, potential improvements to the algorithms, and non-trivial relations among morphological parameters. Algorithms mainly based on local constraints (e.g., branch diameter) were successful in reproducing many morphological properties of both motoneurons and Purkinje cells (e.g. total length, asymmetry, number of bifurcations). The addition of global constraints (e.g., trophic factors) improved the angle-dependent emergent characteristics (average Euclidean distance from the soma to the dendritic terminations, dendritic spread). Virtual neurons systematically displayed greater anatomical variability than real cells, suggesting the need for additional constraints in the models. For several emergent anatomical properties, a specific,algorithm reproduced the experimental statistics better than the others did. However, relative performances were often reversed for different anatomical properties and/or morphological classes. Thus, combining the strengths of alternative generative models could lead to comprehensive algorithms forthe complete and accurate simulation of dendritic morphology.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 11/07/20 alle ore 06:39:29