Linked Life Data

19046864

Source:http://linkedlifedata.com/resource/pubmed/id/19046864

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
2009-2-24
pubmed:abstractText
This paper presents a robust and quasi-real-time monitoring method for examining the degree of regeneration of peripheral nerves using a polymer-based implantable microelectrode array (IMA). The IMA was implanted in the sciatic nerves of rats using two different approaches: (1) direct implantation which was achieved by directly suturing to nerve stumps for short-term regeneration and (2) assembly implantation which was achieved by implanting the IMA assembled with a resorbable conduit that cross a 4-mm nerve defect. The regeneration of the injury was evaluated by measuring the nerve signals following foot pricking and impulse stimulating to the proximal stump. The direct implantation produced a peak voltage of 3.43 mV before amplification and a conduction velocity of 19.8m/s. The assembly implantation produced a peak voltage of 1.51 mV and a conduction velocity of 18 m/s. The degree of regeneration was also examined using gait and morphological analyses. The sciatic function index was -38.5+/-12.5 for direct implantation and -64.9+/-7.5 for assembly implantation. The morphologies of the regenerated nerves were examined using toluidine blue, transmission electron microscopy images, and pilot tests. Te regeneration ratios after the direct and assembly implantation were 45% and 21%, respectively.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1873-4235
pubmed:author
pubmed:issnType
Electronic
pubmed:day
15
pubmed:volume
24
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1883-7
pubmed:dateRevised
2009-7-14
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Robust and real-time monitoring of nerve regeneration using implantable flexible microelectrode array.
pubmed:affiliation
School of Mechanical Engineering, Yonsei University, 134 Shinchon-dong, Seodaemun-gu, Seoul 120-749, Republic of Korea.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't