Comprehensively Quantifying and Ranking the Effects of Neck Muscles Under Various Fiber Activations in Low-Speed Head ImpactsSource: Journal of Engineering and Science in Medical Diagnostics and Therapy:;2026:;volume( 009 ):;issue:003::page 1DOI: 10.1115/1.4071755Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Neck musculature plays a critical role in attenuating head motion during dynamic impacts, yet structure-specific contributions remain poorly quantified. This study used a detailed Global Human Body Model Consortium (GHBMC) finite element head-neck model to evaluate how muscles, ligaments, and vertebrae share internal energy during low-severity head impacts. Seven impact directions were analyzed under three neuromuscular conditions: passive (unanticipated), active fast (power-based), and active slow (endurance-based) at 3 m/s velocity. In passive neck models, deep muscles contributed more during lateral and oblique impacts, whereas superficial muscles dominated in the sagittal plane. Passive and active slow cases shifted internal energy share toward the cervical spine and ligaments, implying greater mechanical demand on these structures. Individual muscle-level analysis identified direction-specific dominant muscles, with sternocleidomastoid consistently the largest single contributor and additional deep and superficial muscles entering the dominant group depending on direction. Active muscle neck models increased muscular energy absorption, particularly in sagittal impacts, accompanied by reductions in linear acceleration of the head. Overall, this study quantifies the roles of deep and superficial neck muscles in stabilizing the head and identifies priority muscles, informing targeted neuromuscular training and personalized protective strategies.
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| contributor author | Islam, Sakib Ul | |
| contributor author | Dickey, Grant James | |
| contributor author | Bian, Kewei | |
| contributor author | Mao, Haojie | |
| date accessioned | 2026-08-23T08:02:59Z | |
| date available | 2026-08-23T08:02:59Z | |
| date copyright | 2026/08/01 | |
| date issued | 2026 | |
| identifier issn | 2572-7958 | |
| identifier other | jesmdt-25-1064.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4316003 | |
| description abstract | Abstract. Neck musculature plays a critical role in attenuating head motion during dynamic impacts, yet structure-specific contributions remain poorly quantified. This study used a detailed Global Human Body Model Consortium (GHBMC) finite element head-neck model to evaluate how muscles, ligaments, and vertebrae share internal energy during low-severity head impacts. Seven impact directions were analyzed under three neuromuscular conditions: passive (unanticipated), active fast (power-based), and active slow (endurance-based) at 3 m/s velocity. In passive neck models, deep muscles contributed more during lateral and oblique impacts, whereas superficial muscles dominated in the sagittal plane. Passive and active slow cases shifted internal energy share toward the cervical spine and ligaments, implying greater mechanical demand on these structures. Individual muscle-level analysis identified direction-specific dominant muscles, with sternocleidomastoid consistently the largest single contributor and additional deep and superficial muscles entering the dominant group depending on direction. Active muscle neck models increased muscular energy absorption, particularly in sagittal impacts, accompanied by reductions in linear acceleration of the head. Overall, this study quantifies the roles of deep and superficial neck muscles in stabilizing the head and identifies priority muscles, informing targeted neuromuscular training and personalized protective strategies. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Comprehensively Quantifying and Ranking the Effects of Neck Muscles Under Various Fiber Activations in Low-Speed Head Impacts | |
| type | Journal Paper | |
| journal volume | 9 | |
| journal issue | 3 | |
| journal title | Journal of Engineering and Science in Medical Diagnostics and Therapy | |
| identifier doi | 10.1115/1.4071755 | |
| journal fristpage | 1 | |
| journal lastpage | 17 | |
| page | 17 | |
| tree | Journal of Engineering and Science in Medical Diagnostics and Therapy:;2026:;volume( 009 ):;issue:003 | |
| contenttype | Fulltext |