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Compression analysis of the gray and white matter of the spinal cord

Authors :
Norihiro Nishida
Fei Jiang
Junji Ohgi
Akihiro Tanaka
Yasuaki Imajo
Hidenori Suzuki
Masahiro Funaba
Takashi Sakai
Itsuo Sakuramoto
Xian Chen
Source :
Neural Regeneration Research, Vol 15, Iss 7, Pp 1344-1349 (2020)
Publication Year :
2020
Publisher :
Wolters Kluwer Medknow Publications, 2020.

Abstract

The spinal cord is composed of gray matter and white matter. It is well known that the properties of these two tissues differ considerably. Spinal diseases often present with symptoms that are caused by spinal cord compression. Understanding the mechanical properties of gray and white matter would allow us to gain a deep understanding of the injuries caused to the spinal cord and provide information on the pathological changes to these distinct tissues in several disorders. Previous studies have reported on the physical properties of gray and white matter, however, these were focused on longitudinal tension tests. Little is known about the differences between gray and white matter in terms of their response to compression. We therefore performed mechanical compression test of the gray and white matter of spinal cords harvested from cows and analyzed the differences between them in response to compression. We conducted compression testing of gray matter and white matter to detect possible differences in the collapse rate. We found that increased compression (especially more than 50% compression) resulted in more severe injuries to both the gray and white matter. The present results on the mechanical differences between gray and white matter in response to compression will be useful when interpreting findings from medical imaging in patients with spinal conditions.

Details

Language :
English
ISSN :
16735374
Volume :
15
Issue :
7
Database :
Directory of Open Access Journals
Journal :
Neural Regeneration Research
Publication Type :
Academic Journal
Accession number :
edsdoj.74e0267223e547f1aa159836ba6e3b9e
Document Type :
article
Full Text :
https://doi.org/10.4103/1673-5374.272604