The development of mesocerebral neurons in the snail Helix aspersa maxima

1992 ◽  
Vol 70 (10) ◽  
pp. 2034-2041 ◽  
Author(s):  
Shelley LaBerge ◽  
Ronald Chase

The neurons in the right mesocerebrum of Helix aspersa participate in the control of sexual behaviour. The purpose of this study was to examine the relationship between reproductive development and the development of mesocerebral neurons. The growth of right mesocerebral neurons was quantified by intracellular filling cells with hexamminecobalt chloride. It was found that the peak growth phase of the neurites preceded the peak growth phase of the penis by about 4 weeks. Comprehensive measurements from sectioned material showed that postembryonic growth in three regions of the brain was expressed as increases in soma diameters but not in neuron numbers. The rate of growth of neurons in the right mesocerebrum was significantly greater than that of neurons in the left mesocerebrum and the right postcerebrum. Ablations of the penis and dart sac did not affect the development of right mesocerebral neurons. Thus, no evidence was obtained for a trophic influence of the peripheral reproductive organs on the mesocerebrum.

1992 ◽  
Vol 20 (3) ◽  
pp. 213-217 ◽  
Author(s):  
Shirley N. Myers ◽  
Jon B. Ellis

The intention of this study was to examine the relationship between the right and left hemispheres of the brain and criminal behaviour. It was predicted that prisoners scoring higher on the Verbal scale than the Performance scale of the WAIS-R would tend to commit more analytical thought-out crimes. Those scoring higher on the Performance scale may be more impulsive type criminals and tend to commit crimes less thought out. A total of 51 inmates were tested with the WAIS-R. Inmates who scored lower on the Verbal scale than the Performance scale tended to be more impulsive. Due to the overlap in crimes committed by both types of criminals, it was recommended that future research in this area may include a third category of both impulsive-non-impulsive along with the separation of the two categories.


2021 ◽  
Vol 14 ◽  
Author(s):  
Dongya Wu ◽  
Xin Li ◽  
Jun Feng

Brain connectivity plays an important role in determining the brain region’s function. Previous researchers proposed that the brain region’s function is characterized by that region’s input and output connectivity profiles. Following this proposal, numerous studies have investigated the relationship between connectivity and function. However, this proposal only utilizes direct connectivity profiles and thus is deficient in explaining individual differences in the brain region’s function. To overcome this problem, we proposed that a brain region’s function is characterized by that region’s multi-hops connectivity profile. To test this proposal, we used multi-hops functional connectivity to predict the individual face activation of the right fusiform face area (rFFA) via a multi-layer graph neural network and showed that the prediction performance is essentially improved. Results also indicated that the two-layer graph neural network is the best in characterizing rFFA’s face activation and revealed a hierarchical network for the face processing of rFFA.


1982 ◽  
Vol 10 (5) ◽  
pp. 384-385 ◽  
Author(s):  
MARION E. WILLIAMSON ◽  
PIERS C. EMSON

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