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Abstract #1242

A porcine model of realistic closed-head impacts with multiple-timepoint MRI

Marios Georgiadis1, Xianghao Zhan1, Hossein Moein Taghavi1, Kathleen Heng1, Jeffrey Nirschl1, Jessica Towns1, Vahidullah Tac1, Yixin Wang1, William Ho1, Susan Margulies2,3, Marzieh Hajiaghamemar4, Gerald Grant5, Kawin Setsompop1, Congyu Liao1, David Camarillo1, and Michael Zeineh1
1Stanford University School of Medicine, Stanford, CA, United States, 2Georgia Institute of Technology, Atlanta, GA, United States, 3Emory University, Atlanta, GA, United States, 4University of Texas San Antonio, San Antonio, TX, United States, 5Duke University, Durham, NC, United States

Synopsis

Keywords: Traumatic Brain Injury, Traumatic brain injury, pig, porcine, mTBI

Motivation: Mild traumatic brain injury (mTBI) is a global health challenge, yet its mechanism is not understood. Human post-impact imaging is multi-factorial and variable. Studies to unveil the local brain injury cascade are needed.

Goal(s): To present a porcine model of realistic human-mimicking head impacts with multiple MRI timepoints and histologic validation.

Approach: A linear impactor delivers a head impact leading to high rotational accelerations. We record biomechanics and perform detailed pre-/post-impact MR on a human scanner, ex vivo MR, coregistered histology, and finite-element modeling (FEM).

Results: We identify injury on in vivo and ex vivo MRI, predict with FEM, and validate with pathology.

Impact: Our novel large-animal linear-impact head impact model can detect injury with pre- and post-impact in vivo and ex vivo MRI, pathology, and finite-element modeling. This paradigm can uncover the microstructural, biomechanical, and molecular mechanism of head impact-induced brain injury.

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