About branch orders

Context

Many of the analyses report branch order or depend on branch order in the grouping of branched structure segments.

The default branch order in Neurolucida is centrifugal.

Branch order characteristics

  • A branched structure such as a dendrite is organized in a form known as a tree.
  • A tree is a connected structure that branches, but has no loops.
  • Segments, also called branches, are the parts of the tree that connect terminations (endings) or nodes.
  • One termination is special: the starting point of the tree, called the root.
  • Dendrites and axons are considered to be rooted trees with an origin at the cell body. A basic understanding of dendrites and axons involves the manner in which they branch.
  • Numbers are assigned to branches to describe the hierarchy of the branching scheme. The numbering scheme is called the branch order for the tree.
  • Neurolucida Explorer uses the following branch ordering schemes: centrifugal, centripetal, Strahler, terminal distance, microvascular branch, shaft.
  • Centrifugal ordering begins at the origin of the tree and works out towards the terminations. Other ordering schemes begin at the terminations and work towards the origin or root of the tree. The centripetal, Strahler, and terminal distance ordering themes begin labeling at the terminations.

Modifying branch order options

  1. Go to Preferences in the File menu and select Ordering.
  2. Select one or more Analysis Branch Orderings for your analyses.
  3. Select a type under Color By Branch Order for your tracing.

Viewing your structures according to branch order

In the View ribbon, click Color by branch order to distinguish the different orders by color, then click Navigate by branch order and the plus or minus buttons to move from one order to the next.

Branch thickness must be enabled in order to view Color by branch order.

Branch ordering schemes

 

References

Uylings, H. B. M., Ruiz-Marcos, A., & Van Pelt, J. (1986). The metric analysis of three-dimensional dendritic tree patterns: a methodological review. Journal of Neuroscience Methods, 18(1), 127-151.

Uylings, H. B., Smit, G. J., & Veltman, W. A. (1975). Ordering methods in quantitative analysis of branching structures of dendritic trees. Advances in Neurology, 12, 347-354.