Fine structure of the brain and brain nerves ofOikopleura dioica (Urochordata, Appendicularia)

Zoomorphology ◽  
1990 ◽  
Vol 110 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Ragnar Olsson ◽  
Kaj Holmberg ◽  
Ylva Lilliemarck
Keyword(s):  
Fine Structure ◽  
The Brain

scholarly journals Fine structure of the brain in Amphinomida (Annelida)

2021 ◽  
Author(s):  
Patrick Beckers ◽  
Ekin Tilic
Keyword(s):  
Fine Structure ◽  
The Brain

Psychiatry, folk psychology, and the impact of neuroscience—a response to Steven Hyman’s Loebel Lectures

2020 ◽  
pp. 304-319
Author(s):  
Jonathan Glover
Keyword(s):  
Fine Structure ◽  
Psychiatric Disorders ◽  
Folk Psychology ◽  
The Status ◽  
The Impact ◽  
The Brain

This chapter reflects on Steven Hyman's Loebel Lectures, which revolve around a contrast between folk psychology and what neuroscience is starting to reveal. Folk psychology is the unscientific picture of what goes on in people’s minds when they perceive, remember, think, feel, decide, and act. It is based on introspection and on intuitive ‘reading’ of other people. In contrast to folk psychology is the fine structure neuroscience is starting to reveal: the brain mechanisms underlying perception, memory, thought, emotion, decision, and action. Hyman says that mapping out this fine structure has the promise of changing the understanding and treatment of psychiatric disorders. Out of this emerges Hyman’s philosophical claim that neuroscience radically challenges the status of folk psychology. Folk psychology, being in conflict with neuroscience, is largely false.

Fine Structure of Nerve Cells in the Brain of the House Fly, Musca Domestica (Diptera)

1971 ◽  
Vol 29 ◽  
pp. 274-275
Author(s):  
Venita F. Allison ◽  
Suraj P. Sharma ◽  
R. S. Sohal
Keyword(s):  
Fine Structure ◽  
Musca Domestica ◽  
Structural Characteristics ◽  
Cell Types ◽  
Small Population ◽  
House Fly ◽  
Nerve Cells ◽  
Type I ◽  
Structural Level ◽  
The Brain

Because of its comparative structural simplicity insect central nervous system has been frequently used for basic neurological studies. However, relatively little is known regarding the cytological organization of the different neuronal types, especially at the fine structural level. The precise localization and identification of particular cell types within the brain would be useful in correlating structural characteristics of neurons with their integrative functional role. The present study reports the fine structure of three different types of nerve cells within the anterior protocerebral region of the brain of the adult male house fly, Musca domestica.Type I Neuron (Figure 1): Examination of the anterior lateral region of the protocerebrum reveals a small population of uni-polar neurons further characterized by perikarya with a paucity of cytoplasm and proportionately large dense nuclei. The cytoplasm contains poorly developed endoplasmic reticulum, an abundance of ribosomes and a few ovoid to rounded mitochondria with shelf-like cristae. Small Golgi regions and dense inclusion bodies are seen in certain planes of section.

scholarly journals Experimental brain death: 1. Morphology and fine structure of the brain

1973 ◽  
Vol 36 (4) ◽  
pp. 497-508 ◽  
Author(s):  
F. Matakas ◽  
J. Cervos-Navarro ◽  
H. Schneider
Keyword(s):  
Fine Structure ◽  
Brain Death ◽  
The Brain

Understanding the Brain

2017 ◽  
Author(s):  
Arlindo Oliveira
Keyword(s):  
Electron Microscopy ◽  
Fine Structure ◽  
Brain Imaging ◽  
Brain Tissue ◽  
Computational Efficiency ◽  
Brain Networks ◽  
Computer Models ◽  
The Many ◽  
The Brain

This chapter summarily describes some of the technologies that are currently being used to image living brains and understand brain behaviour. The important projects in this area are briefly enumerated, as are the many technologies used for brain imaging. The computer models that are used to integrate the obtained data, brain networks, are also briefly described, together with the methodologies used to analyze them. Also covered in this chapter are some of the techniques used to dissect and image live brains in order to obtain detailed information about the fine structure of brain tissue, such as electron microscopy. The chapter finishes by surveying the techniques used to simulate sections of brain tissue, and uses these simulations to compare the computational efficiency of biological brains with the computational efficiency of brain simulations in modern day computers.

The nervous system of Amphilina foliacea (Platyhelminthes, Amphilinidea). An immunocytochemical, ultrastructural and spectrofluorometrical study

Parasitology ◽  
2000 ◽  
Vol 121 (4) ◽  
pp. 441-453 ◽  
Author(s):  
N. M. BISEROVA ◽  
V. A. DUDICHEVA ◽  
N. B. TERENINA ◽  
M. REUTER ◽  
D. W. HALTON ◽  
...  
Keyword(s):  
Nervous System ◽  
Fine Structure ◽  
Glial Cell ◽  
Reproductive Organs ◽  
Phylogenetic Position ◽  
Cell Type ◽  
Sensory Neurone ◽  
Wet Weight ◽  
Electron Microscopical ◽  
The Brain

The nervous system of young and adult Amphilina foliacea was studied with immunocytochemical, electron microscopical and spectrofluorometrical methods. The general neuroanatomy is described in detail. New data on the structure and development of the brain were obtained. The 5-HT and GYIRFamide-immunoreactivities occur in separate sets of neurones. The innervation of the reproductive organs is described. The fine structure of 2 types of neurones in the CNS, a sensory neurone, a ‘glial’ cell type, the neuropile and the synapses are described. The level of 5-HT varies between 0·074 and 0·461 μg/g wet weight. This is the first detailed study of the nervous system of A. foliacea. Earlier data on the structure of the nervous system in A. foliacea published in Russian are introduced into the discussion. The study provides data that can be used when considering the phylogenetic position of Amphilinidea.

Sign in / Sign up

Export Citation Format

Share Document