Imperial College London
Alternate

Dr Mazdak Ghajari

Faculty of Engineering, Dyson School of Design Engineering

Reader in Brain Biomechanics
 
 
 
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Contact

 

+44 (0)20 7594 9236m.ghajari Website

 
 
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Location

 

Dyson BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Donat:2021:brain/awaa336,
author = {Donat, C and Yanez, Lopez M and Sastre, M and Baxan, N and Goldfinger, M and Seeamber, R and Mueller, F and Davies, P and Hellyer, P and Siegkas, P and Gentleman, S and Sharp, D and Ghajari, M},
doi = {brain/awaa336},
journal = {Brain: a journal of neurology},
pages = {70--91},
title = {From biomechanics to pathology: predicting axonal injury from patterns of strain after traumatic brain injury.},
url = {http://dx.doi.org/10.1093/brain/awaa336},
volume = {144},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The  relationship  between  biomechanical  forces  and  neuropathology  is  key  to  understanding traumatic  brain  injury.  White  matter  tracts  are  damaged  by  high  shear  forces  during  impact, resulting  in  axonal  injury,  a  key  determinant  of  long-term  clinical  outcomes.  However,  the relationship between biomechanical forces and patterns of white matter injuries, associated with persistent diffusion MRI abnormalities, is poorly understood. This limits the ability to predict the severity of head injuries and the design of appropriate protection. Our previously developed human finite element model of head injury predicted the location of post-traumatic neurodegeneration. A similar rat model now allows us to experimentally test whether strain patterns calculated by the model predicts in vivo MRI and histology changes. Using a Controlled Cortical Impact, mild and moderate injuries(1 and 2 mm) were performed. Focal and axonal injuries were quantified withvolumetric  and  diffusion 9.4T MRI  two  weeks  post  injury.  Detailed  analysis  of  the corpus callosum  was  conducted  using  multi-shell  diffusion  MRI  and histopathology. Microglia  and astrocyte density, including process parameters,along with white matter structural integrity and neurofilament expression were determined by quantitative immunohistochemistry. Linear mixed effects  regression analyses for strain  and  strain  rate with  the  employed  outcome  measures  were used  to  ascertain  how well  immediate  biomechanics  could  explain  MRI  and  histology  changes.The spatial pattern of mechanical strain and strain rate in the injured cortex shows good agreement with the probability maps of focal lesions derived from volumetric MRI. Diffusion metrics showed abnormalities in segments of the corpus callosum predicted to have a high strain, indicating white matter changes.  The  same  segments also exhibited a severity-dependent increase  in glia  cell density, white matter  thinning
AU  - Donat,C
AU  - Yanez,Lopez M
AU  - Sastre,M
AU  - Baxan,N
AU  - Goldfinger,M
AU  - Seeamber,R
AU  - Mueller,F
AU  - Davies,P
AU  - Hellyer,P
AU  - Siegkas,P
AU  - Gentleman,S
AU  - Sharp,D
AU  - Ghajari,M
DO  - brain/awaa336
EP  - 91
PY  - 2021///
SN  - 0006-8950
SP  - 70
TI  - From biomechanics to pathology: predicting axonal injury from patterns of strain after traumatic brain injury.
T2  - Brain: a journal of neurology
UR  - http://dx.doi.org/10.1093/brain/awaa336
UR  - https://academic.oup.com/brain/article/144/1/70/6102820
UR  - http://hdl.handle.net/10044/1/83596
VL  - 144
ER  -
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