Numerical and length densities of microvessels in the human brain: Correlation with preferential orientation of microvessels in the cerebral cortex, subcortical grey matter and white matter, pons and cerebellum

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11130%2F18%3A10366387" target="_blank" >RIV/00216208:11130/18:10366387 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11140/18:10366387 RIV/49777513:23520/18:43949682

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S0891061817302119" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0891061817302119</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jchemneu.2017.11.005" target="_blank" >10.1016/j.jchemneu.2017.11.005</a>

Result language

angličtina

Original language name

Numerical and length densities of microvessels in the human brain: Correlation with preferential orientation of microvessels in the cerebral cortex, subcortical grey matter and white matter, pons and cerebellum

Original language description

To provide basic data on the local differences in density of microvessels between various parts of the human brain, including representative grey and white matter structures of the cerebral hemispheres, the brain stem and the cerebellum, we quantified the numerical density NV and the length density LV of microvessels in two human brains. We aimed to correlate the density of microvessels with previously published data on their preferential orientation (anisotropy). Microvessels were identified using immunohistochemistry for laminin in 32 samples harvested from ten brain regions of two adult individuals. NV was calculated from the number of vascular branching points and their valence, which were assessed using the optical disector in 20-μm-thick sections. LV was estimated using counting frames applied to routine sections with randomized cutting planes. After correction for shrinkage, NV in the cerebral cortex was 1311+-326mm-3 (mean+-SD) and LV was 255+-119mm-2. Similarly, in subcortical grey matter (which included the basal ganglia and thalamus), NV was 1350+-445mm-3 and LV was 328+-117mm-2. The vascular networks of cortical and subcortical grey matter were comparable. Their densities were greater than in the white matter, with NV=222+-147mm-3 and LV=160+-96mm-2. NV was moderately correlated with LV. In parts of brain with greater NV, blood vessels lacked a preferential orientation. Our data were in agreement with other studies on microvessel density focused on specific brain regions, but showed a greater variability, thus mapping the basic differences among various parts of brain. To facilitate the planning of other studies on brain vascularity and to support the development of computational models of human brain circulation based on real microvascular morphology; stereological data in form of continuous variables are made available as supplements.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30106 - Anatomy and morphology (plant science to be 1.6)

Project

<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>

Continuities

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Chemical Neuroanatomy

ISSN

0891-0618

e-ISSN

—

Volume of the periodical

88

Issue of the periodical within the volume

March

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

11

Pages from-to

22-32

UT code for WoS article

000427664300003

EID of the result in the Scopus database

2-s2.0-85032939932