Cell counts in the substantia nigra: a comparison of single section counts and disector counts in patients with Parkinson's disease and in controls

Neuropathol Appl Neurobiol. 1995 Feb;21(1):10-7. doi: 10.1111/j.1365-2990.1995.tb01023.x.

Abstract

The disector (DS) is a method by which it is possible to estimate the density of cells in a volume of tissue, and when associated with Cavalieri's principle, the total number of cells of a neural nucleus. Since the introduction of this method, there has been some uncertainty about the value of cell counts estimated using single section (SS). To compare these two methods, we counted the pigmented neurons in the pars compacta of the substantia nigra (SNpc) in seven normal controls and in four patients with Parkinson's disease (PD), using both single histological sections and the DS. The calculations were performed at two different levels of the substantia nigra. Level I was cut through the colliculus superior and caudal red nucleus, and level II showed the exit of the third cranial nerve in all cases. As methods, the two counts were in close agreement (Pearson's correlation coefficient at levels I and II were r = 0.97 and r = 1.00, respectively, P < 0.001). The correspondence was different in the controls and in the parkinsonian patients, however, as can be judged from the slopes of the average regression lines (0.20 for controls, 0.31 for parkinsonian patients). It is nevertheless evident that once the regression line has been defined. DS counts can be estimated from SS counts when the pigmented neuron numbers are counted in the SNpc. The results suggest that comparisons of pigmented neuron counts made from SS are relevant if the cutting level of the section is well defined, and if section thickness is kept constant.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Cell Count
  • Female
  • Humans
  • Male
  • Middle Aged
  • Parkinson Disease / pathology*
  • Substantia Nigra / pathology*