To examine whether the patient antibodies affected neuronal viability, the density of neurons on coverslips was assayed by staining with 4′,6-diamidino-2-phenylindole and MAP2 to label nuclei and neuron dendritic arbors, respectively.
The number of NeuN positive cells is not increased by EE; therefore, the increase in the density of IGF-1 positive neurons in EE animals is due to an increased presence of IGF-1 labelled neuronal cells, not to an increase in the density of neurons.
Increased brain mass in autistic children and some autistic adults [ 89], increase in the numerical density of neurons [ 13, 14], reduced size of neurons [ 7] and brain structure-specific delay of neuronal growth [ 111] indicate alterations in neuronal and brain growth in autistic individuals.
n ( s, t ) denotes the probability density of neurons at time t such that the time elapsed since the last discharge is s.
Nonlinear Noisy Leaky Integrate and Fire (NNLIF) models for neurons networks can be written as Fokker-Planck-Kolmogorov equations on the probability density of neurons, the main parameters in the model being the connectivity of the network and the noise.
It is debatable that in morphometric MRI studies, the changes of the gray matter could be attributed to the changes of the cell size (neurons or glia), spine density of neurons or even blood flow or interstitial fluid [24].
What's more, 18-month-old experimental mice had a 20% lower density of neurons in the CA1 region of the hippocampus--an effect seen in human patients with Alzheimer's.
Some of these studies did find interesting features in Einstein's brain, including a greater density of neurons in some parts of the brain and a higher than usual ratio of glia (cells that help neurons transmit nerve impulses) to neurons.
In this report, we used lithographic technologies to confine neurons to highly defined patterns (40 μm wide stripes); in turn these patterns gave us a measure of control over the local density of neurons (100 500 cells/mm2).
The term "fragmentation" stems from the fact that, at each time, the density of neurons which discharge is fragmented, via K, with respect to the new state of neurons after their discharge; each fragment is given by the flux of neurons which discharge and come back in a same state s.
As before, if we denote by q ( t, θ ) the density of neurons having phase θ at time t, then ∫ θ 1 θ 2 q ( t, θ ) d θ = { Fraction of neurons with phase θ ∈ [ θ 1, θ 2 ] at time t }, and one can assume once again that ∫ 0 2 π q ( t, θ ) d θ = 1.
