Modal Analysis of the Human Brain Using Dynamic Mode Decomposition

Author:

McLean Jayse1,Fereydoonpour Mehran1,Ziejewski Mariusz1,Karami Ghodrat1ORCID

Affiliation:

1. Department of Mechanical Engineering, North Dakota State University, Fargo, ND 58102, USA

Abstract

The majority of observations and criteria related to brain injuries predominantly focus on acceleration and forces, leaving the understanding of the brain in the frequency domain relatively limited. The impact of an injury can be more profound when considering the brain’s resonant frequencies in conjunction with external applied loading and motion. This paper employs a finite element method to conduct an analysis of a human brain under impacts from various angles on the human head. A numerical technique, specifically dynamic mode decomposition (DMD), is utilized to extract modal properties for brain tissue in regions proximate to the corpus callosum and brain stem. Three distinct modal frequencies have been identified, spanning the ranges of 44–68 Hz, 68–155 Hz, and 114–299 Hz. The findings underscore the significance of impact angle, displacement direction, and the specific region of the brain in influencing the modal response of brain tissue during an impact event.

Publisher

MDPI AG

Reference39 articles.

1. McLean, J. (2020). Modal Analysis of the Human Brain Using Dynamic Mode Decomposition. [Master’s Thesis, North Dakota State University]. Available online: https://library.ndsu.edu/ir/handle/10365/31804.

2. A review of head injury and finite element head models;Tse;Am. J. Eng. Technol. Soc.,2014

3. The cerebrum;Rhoton;Neurosurgery,2002

4. Significance of relative movements of scalp, skull, and intracranial contents during impact injury of the head;Gurdjian;J. Neurosurg.,1968

5. Versace, J. (1972, January 17–19). A review of the severity index. Proceedings of the 15th Stapp Car Crash Conference ASE, Coronado, CA, USA.

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