Literature DB >> 19224718

In vivo penetration mechanics and mechanical properties of mouse brain tissue at micrometer scales.

Andrew A Sharp1, Alicia M Ortega, Diego Restrepo, Douglas Curran-Everett, Ken Gall.   

Abstract

Substantial advancement in the understanding of the neuronal basis of behavior and the treatment of neurological disorders has been achieved via the implantation of various devices into the brain. To design and optimize the next generation of neuronal implants while striving to minimize tissue damage, it is necessary to understand the mechanics of probe insertion at relevant length scales. Unfortunately, a broad-based understanding of brain-implant interactions at the necessary micrometer scales is largely missing. This paper presents a generalizable description of the micrometer-scale penetration mechanics and material properties of mouse brain tissue in vivo. Cylindrical stainless steel probes were inserted into the cerebral cortex and olfactory bulb of mice. The effects of probe size, probe geometry, insertion rate, insertion location, animal age, and the presence of the dura and pia on the resulting forces were measured continuously throughout probe insertion and removal. Material properties (modulus, cutting force, and frictional force) were extracted using mechanical analysis. The use of rigid, incompressible, cylindrical probes allows for a general understanding of how probe design and insertion methods influence the penetration mechanics of brain tissue in vivo that can be applied to the quantitative design of most future implantable devices.

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Year:  2009        PMID: 19224718      PMCID: PMC2855535          DOI: 10.1109/TBME.2008.2003261

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  28 in total

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2.  Real-time prediction of hand trajectory by ensembles of cortical neurons in primates.

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Journal:  Nature       Date:  2000-11-16       Impact factor: 49.962

3.  Mechanical properties of brain tissue in-vivo: experiment and computer simulation.

Authors:  K Miller; K Chinzei; G Orssengo; P Bednarz
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Review 4.  Multiple comparisons: philosophies and illustrations.

Authors:  D Curran-Everett
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2000-07       Impact factor: 3.619

Review 5.  Techniques for long-term multisite neuronal ensemble recordings in behaving animals.

Authors:  J D Kralik; D F Dimitrov; D J Krupa; D B Katz; D Cohen; M A Nicolelis
Journal:  Methods       Date:  2001-10       Impact factor: 3.608

6.  Target selection for saccadic eye movements: direction-selective visual responses in the superior colliculus.

Authors:  G D Horwitz; W T Newsome
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Authors:  Andrew A Sharp; Hrishikesh V Panchawagh; Alicia Ortega; Ryan Artale; Sarah Richardson-Burns; Dudley S Finch; Ken Gall; Roop L Mahajan; Diego Restrepo
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8.  Taste-specific neuronal ensembles in the gustatory cortex of awake rats.

Authors:  Donald B Katz; S A Simon; Miguel A L Nicolelis
Journal:  J Neurosci       Date:  2002-03-01       Impact factor: 6.167

9.  Integration of bilateral whisker stimuli in rats: role of the whisker barrel cortices.

Authors:  Marshall G Shuler; David J Krupa; Miguel A L Nicolelis
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10.  Brain responses to micro-machined silicon devices.

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Journal:  Brain Res       Date:  2003-09-05       Impact factor: 3.252

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  42 in total

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4.  In vivo evaluation of needle force and friction stress during insertion at varying insertion speed into the brain.

Authors:  Fernando Casanova; Paul R Carney; Malisa Sarntinoranont
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5.  Biohybrid Carbon Nanotube/Agarose Fibers for Neural Tissue Engineering.

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6.  FEF inactivation with improved optogenetic methods.

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7.  A Materials Roadmap to Functional Neural Interface Design.

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8.  Experimental study on the mechanical interaction between silicon neural microprobes and rat dura mater during insertion.

Authors:  Z Fekete; A Németh; G Márton; I Ulbert; A Pongrácz
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9.  Electrothermal Microactuators With Peg Drive Improve Performance for Brain Implant Applications.

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10.  Long-term changes in the material properties of brain tissue at the implant-tissue interface.

Authors:  Arati Sridharan; Subramaniam D Rajan; Jit Muthuswamy
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