NDLI: High Rate Shear Insult Delivered to Cortical Neurons Produces Heterogeneous Membrane Permeability Alterations

Content Provider	IEEE Xplore Digital Library
Author	LaPlaca, M.C. Prado, G.R. Cullen, D.K. Irons, H.R.
Copyright Year	2006
Description	Author affiliation: Biomed. Eng. Dept., Georgia Inst. of Technol., Atlanta, GA (LaPlaca, M.C.; Prado, G.R.; Cullen, D.K.; Irons, H.R.)
Abstract	Traumatic brain injury (TBI) occurs when brain tissue is subjected to stresses and strains at high rates and magnitudes, yet the mechanisms of injury and cellular thresholds are not well understood. The events that occur at the time of and immediately after an insult are hypothesized to initiate cell dysfunction or death following a critical cell strain and strain rate. We analyzed neuronal plasma membrane disruption in two in vitro injury models-fluid shear stress delivered to planar cultures and shear strain induction of 3-D neural cultures. We found that insult severity positively correlated with the degree of membrane disruptions in a heterogeneous fashion in both cell configurations. Furthermore, increased membrane permeability led to increases in electrophysiological disturbance. Specifically, cells that exhibited increased membrane permeability did not fire random action potentials, in contrast to neighboring cells that had intact plasma membranes. This approach provides an experimental framework to investigate injury tolerance criteria as well as mechanistically driven therapeutic strategies
Sponsorship	IEEE EMB
Starting Page	2384
Ending Page	2387
File Size	253047
Page Count	4
File Format	PDF
ISBN	1424400325
ISSN	1557170X
DOI	10.1109/IEMBS.2006.260633
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neurons Biomembranes Permeability Capacitive sensors Injuries In vitro Biomedical engineering Stress Plasmas Iron
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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