Literature DB >> 17946994

Collagenase-aided insertion of intracortical microelectrode arrays: evaluation of insertion force and chronic recording performance.

Kunal J Paralikar1, Jonathan K Lawrence, Ryan S Clement.   

Abstract

Typically intracortical electrodes are required to puncture the intact pia mater during insertion which in the process can lead to brain dimpling and trauma. Furthermore, there is interest in the development of more flexible substrates to reduce relative micromotion after implantation, but such device have difficulty penetrating the pia without buckling. In this paper a strategy for reducing the mechanical integrity of the pia's collagen network by treatment with collagenase is evaluated experimentally. Measurements of the insertion force were carried out with a load cell during computer controlled slow (10 microm/sec) electrode insertion into the cortex of rats. It is shown that controlled application of collagenase reduces the peak insertion force experienced by the microwire arrays around 30% on average. In addition, chronic neural recordings (up to 1 month) suggest that there is no appreciable difference in the signal quality as recorded from the collagenase treated and the control sites. The results suggest the technique is useful for reducing insertion forces without compromising neural recording capabilities.

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Year:  2006        PMID: 17946994     DOI: 10.1109/IEMBS.2006.260302

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  In vivo deployment of mechanically adaptive nanocomposites for intracortical microelectrodes.

Authors:  J P Harris; A E Hess; S J Rowan; C Weder; C A Zorman; D J Tyler; J R Capadona
Journal:  J Neural Eng       Date:  2011-06-08       Impact factor: 5.379

2.  Advanced biomaterial strategies to transplant preformed micro-tissue engineered neural networks into the brain.

Authors:  J P Harris; L A Struzyna; P L Murphy; D O Adewole; E Kuo; D K Cullen
Journal:  J Neural Eng       Date:  2016-01-13       Impact factor: 5.379

  2 in total

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