Spatial distribution of pre- and postsynaptic sites of axon terminals in the dorsal horn of the frog spinal cord

A freeware java tool for spatial point analysis of neuronal structures

Spatial point analysis is an analytical approach towards understanding patterns in the distribution of single points, such as synapses. To aid in this type of analysis of neuronal structures, a freeware tool, called PAJ, has been developed. This Java-based tool takes 3D Cartesian coordinates as input and performs a range of analyses to test for underlying patterns. In addition, Monte Carlo analysis is performed to compare experimental input with randomized input. This tool should be especially useful in determining whether neuronal structures are spatially patterned such that individual units interact with each other.

An approach to the complexity of the brain

The establishment of ordered neuronal connections is supposed to take place under the control of specific cell adhesion molecules (CAM) which guide neuroblasts and axons to their appropriate destination. The extreme complexity of the nervous system does not provide a favorable medium for the development of deterministic connections. Simon's [112] theorems offer a mean to approach the high level of complexity of the nervous system. The basic tenet is that complex systems are hierarchically organized and decomposable. Such systems can arise by selective trial and error mechanisms. Subsystems in complex systems only interact in an aggregate manner, and no significant information is lost if the detail of aggregate interactions is ignored. A number of nervous activities, which qualify for these requirements, are shown. The following sources of selection are considered: internal and external feedbacks, previous experience, plasticity in simple structures, and the characteristic geometry of dendrites. The role played by CAMs and other membrane-associated molecules is discussed in the sense that they are either inductor molecules that turn on different homeobox genes, or downstream products of genes, or both. These molecules control cellular and tissular differentiation in the developing brain creating sources of selection required for the trial and error process in the organization of the nervous tissue.

Distribution and ultrastructure of tachykinin-like immunoreactivity in the frog (Rana esculenta) spinal cord, notably, the dorsal horn

Tachykinins are involved in pain transmission at the spinal level. In frog, at least four tachykinins [TK] have been isolated from the brain, but their organization in the dorsal horn of the spinal cord is still poorly known. We have reexamined TK distribution by immunocytochemistry using an antibody recognizing the sequence common to all tachykinins in the spinal cord and dorsal root ganglia of the green frog Rana esculenta. A dense tachykinin-like immunoreactivity (TK-LI) was observed in the dorsolateral fasciculus or Lissauer's tract running ventromedial to the entry of the dorsal root and in numerous small and medium-sized dorsal root ganglion cells showing a primary afferent origin for part of TK-LI of the dorsal horn. The observation of numerous cell bodies in the dorsal horn, in addition, suggested a local or propriospinal origin. One group of cells was localized at the entrance of the Lissauer's tract TK-LI fibers into the dorsal horn, and another group was localized in the upper dorsal horn, a region with a low density of TK-LI fibers. It was suggested that the latter group may correspond to neurokinin B. Electron microscopic examination of the Lissauer's tract showed numerous immunoreactive axons, some located at the center of glomerular-like arrangements, suggesting that the information brought by these fibers may be transmitted and most probably modulated before their entry in the dorsal horn. In conclusion, the functional organization of tachykinins in the frog spinal cord seems to be similar to that of mammals, albeit with a different morphological organization.

Investigation of the dendritic geometry of brain stem motoneurons with different functions using multivariant statistical techniques in the frog

We give an account of an effort to make quantitative morphological distinctions between motoneurons innervating functionally different muscles in the trigeminal and facial motor nuclei of the frog. Six groups of neurons were considered in the two nuclei on the basis of their peripheral targets. One group consisted of neurons (n = 7) innervating the levator bulbi muscle, which separates the orbital cavity from the oral cavity. In the second, third and fourth groups, motoneurons (n = 27) innervating jaw closer muscles (temporalis, masseter, pterygoideus) were studied. Neurons (n = 6) innervating the submaxillary muscle comprised the fifth group. This muscle forms the muscular floor of the mouth. It is active in deglutition and contributes to the opening of the mouth. The sixth group is formed by neurons of the facial nucleus (n = 7), which innervate the depressor mandibulae muscle. This is the main opener of the mouth. Neurons were selectively stained by cobalt labelling through the muscle nerves and the morphometric values of successfully labelled neurons were fed into a IBM AT 386 computer through a digitizing tablet for three-dimensional reconstruction. Four neurons labelled directly through the motor root of the trigeminal nerve but innervating unidentified muscles were added to the investigation. Two sets of quantitative measurements were taken from the neurons. In the first set (neurometric data), 17 quantitative variables were measured in the perikaryon and the dendritic arbor. In the second set, 15 variables concerned with the orientation and shape of the dendritic tree, the relation of the perikaryon to the dendritic tree and the spatial expansion of dendrites were measured in the three dimensions of Cartesian space (product-moment data). The data were subjected to multivariant statistical analysis. First, they were partitioned with cluster analysis. The average linkage between groups algorithm and the cosine of vectors of variables, or the Pearson correlation similarity coefficients were used. Neurometric data and product-moment data were analysed separately and in combination, and six to seven clusters were considered. In each case, the majority of neurons innervating jaw closer muscles were grouped into clusters different from neurons innervating jaw opener muscles. The best separation of functionally different neurons was achieved with the neurometric data set. The groups of neurons obtained from cluster analysis were subjected to non-parametric discriminant analysis with the eight nearest-neighbour classification criterion, and the results were checked with a cross-validation technique.(ABSTRACT TRUNCATED AT 400 WORDS)

Synapses on motoneuron dendrites in the brachial section of the frog spinal cord: a computer-aided electron microscopic study of cobalt-filled cells

Cobalt-labelled motoneuron dendrites of the frog spinal cord at the level of the second spinal nerve were photographed in the electron microscope from long series of ultrathin sections. Three-dimensional computer reconstructions of 120 dendrite segments were analysed. The samples were taken from two locations: proximal to cell body and distal, as defined in a transverse plane of the spinal cord. The dendrites showed highly irregular outlines with many 1-2 microns-long 'thorns' (on average 8.5 thorns per 100 microns 2 of dendritic area). Taken together, the reconstructed dendrite segments from the proximal sites had a total length of about 250 microns; those from the distal locations, 180 microns. On all segments together there were 699 synapses. Nine percent of the synapses were on thorns, and many more close to their base on the dendritic shaft. The synapses were classified in four groups. One third of the synapses were asymmetric with spherical vesicles; one half were symmetric with spherical vesicles; and one tenth were symmetric with flattened vesicles. A fourth, small class of asymmetric synapses had dense-core vesicles. The area of the active zones was large for the asymmetric synapses (median value 0.20 microns 2), and small for the symmetric ones (median value 0.10 microns 2), and the difference was significant. On average, the areas of the active zones of the synapses on thin dendrites were larger than those of synapses on large calibre dendrites. About every 4 microns 2 of dendritic area received one contact. There was a significant difference between the areas of the active zones of the synapses at the two locations. Moreover, the number per unit dendritic length was correlated with dendrite calibre. On average, the active zones covered more than 4% of the dendritic area; this value for thin dendrites was about twice as large as that of large calibre dendrites. We suggest that the larger active zones and the larger synaptic coverage of the thin dendrites compensate for the longer electrotonic distance of these synapses from the soma.