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  1. AU="Berthelson, P R"
  2. AU="Rivera-Torres, Juan J"
  3. AU="Henriquez, Javier"
  4. AU="Adele N Burgess"
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  1. Article ; Online: A Mechanical Brain Damage Framework Used to Model Abnormal Brain Tau Protein Accumulations of National Football League Players.

    Horstemeyer, M F / Berthelson, P R / Moore, J / Persons, A K / Dobbins, A / Prabhu, R K

    Annals of biomedical engineering

    2019  Volume 47, Issue 9, Page(s) 1873–1888

    Abstract: A mechanics-based brain damage framework is used to model the abnormal accumulation of hyperphosphorylated p-tau associated with chronic traumatic encephalopathy within the brains of deceased National Football League (NFL) players studied at Boston ... ...

    Abstract A mechanics-based brain damage framework is used to model the abnormal accumulation of hyperphosphorylated p-tau associated with chronic traumatic encephalopathy within the brains of deceased National Football League (NFL) players studied at Boston University and to provide a framework for understanding the damage mechanisms. p-tau damage is formulated as the multiplicative decomposition of three independently evolving damage internal state variables (ISVs): nucleation related to number density, growth related to the average area, and coalescence related to the nearest neighbor distance. The ISVs evolve under different rates for three well known mechanical boundary conditions, which in themselves introduce three different rates making a total of nine scenarios, that we postulate are related to brain damage progression: (1) monotonic overloads, (2) cyclic fatigue which corresponds to repetitive impacts, and (3) creep which is correlated to damage accumulation over time. Different NFL player positions are described to capture the different types of damage progression. Skill position players, such as quarterbacks, are expected to exhibit a greater p-tau protein accumulation during low cycle fatigue (higher amplitude impacts with a lesser number), and linemen who exhibit a greater p-tau protein accumulation during high cycle fatigue (lower amplitude impacts with a greater number of impacts). This mechanics-based damage framework presents a foundation for developing a multiscale model for traumatic brain injury that combines mechanics with biology.
    MeSH term(s) Adult ; Aged ; Brain/metabolism ; Brain Injuries/metabolism ; Football/injuries ; Humans ; Male ; Middle Aged ; Models, Biological ; tau Proteins/metabolism
    Chemical Substances tau Proteins
    Language English
    Publishing date 2019-08-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 185984-5
    ISSN 1573-9686 ; 0191-5649 ; 0090-6964
    ISSN (online) 1573-9686
    ISSN 0191-5649 ; 0090-6964
    DOI 10.1007/s10439-019-02294-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: A finite element-guided mathematical surrogate modeling approach for assessing occupant injury trends across variations in simplified vehicular impact conditions.

    Berthelson, P R / Ghassemi, P / Wood, J W / Stubblefield, G G / Al-Graitti, A J / Jones, M D / Horstemeyer, M F / Chowdhury, S / Prabhu, R K

    Medical & biological engineering & computing

    2021  Volume 59, Issue 5, Page(s) 1065–1079

    Abstract: A finite element (FE)-guided mathematical surrogate modeling methodology is presented for evaluating relative injury trends across varied vehicular impact conditions. The prevalence of crash-induced injuries necessitates the quantification of the human ... ...

    Abstract A finite element (FE)-guided mathematical surrogate modeling methodology is presented for evaluating relative injury trends across varied vehicular impact conditions. The prevalence of crash-induced injuries necessitates the quantification of the human body's response to impacts. FE modeling is often used for crash analyses but requires time and computational cost. However, surrogate modeling can predict injury trends between the FE data, requiring fewer FE simulations to evaluate the complete testing range. To determine the viability of this methodology for injury assessment, crash-induced occupant head injury criterion (HIC
    MeSH term(s) Accidents, Traffic ; Biomechanical Phenomena ; Craniocerebral Trauma/epidemiology ; Finite Element Analysis ; Head ; Humans
    Language English
    Publishing date 2021-04-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 282327-5
    ISSN 1741-0444 ; 0025-696X ; 0140-0118
    ISSN (online) 1741-0444
    ISSN 0025-696X ; 0140-0118
    DOI 10.1007/s11517-021-02349-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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