Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Quantitative morphologic classification of layer 5 neurons from mouse primary visual cortex.

Areti Tsiola1, Farid Hamzei-Sichani, Zita Peterlin

  • 1Department of Biological Sciences, Columbia University, New York, New York 10027, USA. at181@olumbia.edu

The Journal of Comparative Neurology
|May 15, 2003
PubMed
Summary

Researchers quantitatively classified neurons in the mouse visual cortex using advanced 3D reconstruction and clustering methods. This objective approach identified five distinct neuronal classes, aiding in understanding neural circuits.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Is thalamic deep brain stimulation the right target to improve laryngeal dystonia symptoms?

Dystonia (Lausanne, Switzerland)·2026
Same author

Connectivity Logic of Dendritic Spines in Cortex: Increased Inputs and Ensemble Formation.

bioRxiv : the preprint server for biology·2026
Same author

VesiclePy: A machine learning vesicle analysis toolbox for volume electron microscopy.

PLoS computational biology·2026
Same author

Dense and distributed neuropeptide network in the nerve net of Hydra vulgaris.

PLoS computational biology·2026
Same author

Neuronal ensembles in cortical function and disease.

Physiological reviews·2026
Same author

Ultrastructural reconstruction of the endodermal nerve net of Hydra vulgaris.

Current biology : CB·2025

Area of Science:

  • Neuroscience
  • Cell Biology
  • Computational Biology

Background:

  • Understanding neural circuits necessitates detailed neuronal characterization.
  • Morphological classification is fundamental to neuroscience research.
  • Layer 5 of the mouse primary visual cortex is a key area for visual processing.

Purpose of the Study:

  • To quantitatively classify neurons in layer 5 of the mouse primary visual cortex.
  • To establish an objective method for defining neuronal phenotypes.
  • To provide a basis for describing neocortical circuits.

Main Methods:

  • Utilized Golgi impregnations, biocytin injections, and DiOlistics for neuronal labeling and reconstruction.
  • Performed computerized 3-D reconstructions of 158 layer 5 neurons.

Related Experiment Videos

  • Applied principal component analysis and cluster analysis for morphologic classification.

    • Main Results:

    • Identified five major classes of neurons based on multidimensional clustering.
    • Group 1: Large pyramidal neurons with apical tufts reaching layer 1.
    • Group 2: Short pyramidal and large multipolar neurons with polarized dendritic trees.
    • Group 3: Less extensive pyramidal neurons.
    • Group 4: Small cells.
    • Group 5: Short pyramidal and atypically oriented neurons.
    • Neurons projecting to the superior colliculus predominantly clustered in group 1.

    Conclusions:

    • Cluster analysis of neuronal morphology offers an objective method for quantitative neuronal phenotyping.
    • This classification system provides a foundation for detailed neocortical circuit descriptions.
    • The findings support the validity of the quantitative classification approach for neuronal characterization.