Linked Life Data

7373341

Source:http://linkedlifedata.com/resource/pubmed/id/7373341

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
1980-7-26
pubmed:abstractText
Cortical cells have been counted in 11 areas of brain from each of 64 normal subjects from 18 to 95 years of age, all cases studied being selected after careful consideration of their clinical records and detailed histological examination of the brain. Cells (features) in cresyl fast violet stained 20 micrometer paraffin sections were initially divided into 8 groups according to size in multiple columns of cortical tissue; statistical evaluation of the results showed that there were 3 populations of cortical cells, based on size discrimination, which behaved in significantly different ways. The smallest cells have been designated "glial celons were initially divided into 8 groups according to size in multiple columns of cortical tissue; statistical evaluation of the results showed that there were 3 populations of cortical cells, based on size discrimination, which behaved in significantly different ways. The smallest cells have been designated "glial cells" and the other two groups "small" and "large" neurons. The number of cells in all three groups decreased from youth to old age, the least loss being in the "glial cells" and the greatest (up to 60%) in "large neurons". The variation and statistical significance of cell loss in each cell group in the different areas examined is described, and the findings in this investigation discussed in relation to previous studies using manual methods.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0022-510X
pubmed:author
pubmed:issnType
Print
pubmed:volume
46
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
113-36
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1980
pubmed:articleTitle
Cell counts in human cerebral cortex in normal adults throughout life using an image analysing computer.
pubmed:publicationType
Journal Article, Comparative Study