Controlled cortical impact model for traumatic brain injury

Jennifer Romine, Xiang Gao, Jinhui Chen

Research output: Contribution to journalArticle

37 Citations (Scopus)

Abstract

Every year over a million Americans suffer a traumatic brain injury (TBI). Combined with the incidence of TBIs worldwide, the physical, emotional, social, and economical effects are staggering. Therefore, further research into the effects of TBI and effective treatments is necessary. The controlled cortical impact (CCI) model induces traumatic brain injuries ranging from mild to severe. This method uses a rigid impactor to deliver mechanical energy to an intact dura exposed following a craniectomy. Impact is made under precise parameters at a set velocity to achieve a pre-determined deformation depth. Although other TBI models, such as weight drop and fluid percussion, exist, CCI is more accurate, easier to control, and most importantly, produces traumatic brain injuries similar to those seen in humans. However, no TBI model is currently able to reproduce pathological changes identical to those seen in human patients. The CCI model allows investigation into the short-term and long-term effects of TBI, such as neuronal death, memory deficits, and cerebral edema, as well as potential therapeutic treatments for TBI.

Original languageEnglish
Article numbere51781
JournalJournal of visualized experiments : JoVE
Issue number90
DOIs
StatePublished - Aug 5 2014

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Brain
Brain models
Brain Concussion
Percussion
Brain Edema
Memory Disorders
Traumatic Brain Injury
Therapeutics
Data storage equipment
Fluids
Weights and Measures
Incidence
Research

Keywords

  • Controlled cortical impact
  • Cortical contusion
  • Issue 90
  • Medicine
  • Traumatic brain injury

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Chemical Engineering(all)
  • Immunology and Microbiology(all)
  • Neuroscience(all)
  • Medicine(all)

Cite this

Controlled cortical impact model for traumatic brain injury. / Romine, Jennifer; Gao, Xiang; Chen, Jinhui.

In: Journal of visualized experiments : JoVE, No. 90, e51781, 05.08.2014.

Research output: Contribution to journalArticle

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