In order to assess the local neuronal density in the
vicinity of
deposits, we borrow from statistical
physics the concept of a radial density function,
, that in our present study is defined as the
number of neurons per unit area inside a ring of radius
from an origin
, which is the center of an
deposit. A similar concept of local density calculations was
introduced in ref. [31] for the description of
neuronal microcolumns in the human cortex. For example,
using the
deposit within the neuronal field shown in
Fig. 1 (b), the origin for
is at
the center of an A
deposit and a ring is defined with
inner and outer radius corresponding to
and
, respectively.
at distance
from the
origin is defined as the number of neurons within the ring
divided by the area of the ring. In practice, a computer
algorithm calculates
using as input the
two-dimensional
-
maps of neuronal coordinates
obtained using the methods from
section IIB. We then calculate the
average of the radial density function over all
deposits according to
, where
is the
number of A
deposits.
The strength of analyzing
is that it can test
predictions of models of
effects on neurons by
quantitating disruptions in the neuronal distribution in the
vicinity of each
deposit. In particular, it allows us
to test four models of the effect of
deposition
(Fig. 2):