被动螺旋耳蜗力学模型

高雷; 梁俊毅; 姚文娟; 周雷; 黄新生

doi:10.7498/aps.72.20221200

摘要

耳蜗是人体重要的感音器官, 蜗管中的基底膜是所有微观组织的支撑结构, 其与淋巴液之间复杂的耦合运动是耳蜗感音功能产生的首要条件. 通过将耳蜗的长度划分为有限数量的元素, 并给定径向分布, 推导出一组控制方程, 用于微力学和流体耦合. 然后结合矩阵组合方程, 得到基底膜和淋巴液完全耦合的响应. 分析不同激励下基底膜的瞬时响应、不同频率激励时共振位置的时域响应以及基底膜质量及刚度变化对其生物力学行为影响和听力功能的作用. 结果发现：基底膜质量及刚度的增大均导致最大响应减弱, 但最大响应位置却向基底膜不同方向移动, 前者向底部而后者向顶部向移动; 变化的基底膜截面可以很快地降低耳蜗中部和顶部的特征频率, 以达到较好的滤波和放大特定频率激励的效果, 且可以让耳蜗对特定频率区(1000—3000 Hz)间有较高的分辨效果.

关键词:

Abstract

The ear is an important sensory organ of the human body. Cochlea has a pivotal role in the hearing system of human. Nearly 300 million people around the world suffer from sensorineural deafness caused by cochlear lesions. Because the mechanism of cochlear sensing is very complex, it has not been understood completely so far, which has become one of the important problems in medicine today. The basilar membrane in the cochlear canal is the supporting structure of all microstructures, the complex coupling motion between basilar membrane and lymph in cochlear canal is the primary condition for generating the cochlear sound sensing function. Therefore, it is essential to study the dynamic behavior of the basement membranes. By dividing the length of the cochlea into a finite number of elements and giving the radial distribution, a set of governing equations is derived for coupling micromechanics with fluid. Then combining these equations with the matrix combination equation, the complete coupling response of basilar membrane and lymph is obtained. The instantaneous responses of the basilar membrane under different excitations, the time domain responses of the resonance position under different frequency excitations, and the effects of the changes of the mass and stiffness of the basilar membrane on its biomechanical properties and hearing function are analyzed. The results showthat the increase of the mass and stiffness of the basilar membrane leads to the weakening of the maximum response, and the increase of the mass causes the maximum response position to move to the bottom of the basilar membrane; the increase of the basilar membrane stiffness causes the maximum response position to move to the top of the basilar membrane; the changing basilar membrane cross-section can rapidly reduce the characteristic frequencies at the middle and top of the cochlea, thus achieving better filtering and amplification of specific frequency excitation, and enabling the cochlea to have a higher resolution in a specific frequency range of 1000–3000 Hz.This computational mathematics model can provide a numerical analysis platform for implementing the clinical evaluation of lesions in the basilar membrane of the inner ear. Compared with the existing finite element models, this method has faster calculation speed and higher efficiency of parameter analysis.

Keywords:

作者及机构信息

1.
上海大学力学与工程科学学院, 上海　200072

2.
美国克利夫兰诊所勒纳研究所, 美国俄亥俄　44106

3.
复旦大学附属中山医院耳鼻喉科, 上海　200032

通信作者: 姚文娟, wjyao@shu.edu.cn ; 黄新生, huang.xinsheng@zs-hospital.sh.cn

基金项目: 国家自然科学基金重点项目(批准号: 11932010)资助的课题.

Authors and contacts

1.
School of Mechanics and Engineering Science, Shanghai University, Shanghai 200072, China

2.
Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH 44106, USA

3.
Department of Otolaryngology, Zhongshan Hospital, Fudan University, Shanghai 200032, China

Corresponding author: Yao Wen-Juan, wjyao@shu.edu.cn ; Huang Xin-Sheng, huang.xinsheng@zs-hospital.sh.cn

Funds: Project supported by the Key Projects of National Natural Science Foundation of China (Grant No. 11932010).

文章全文 : translate this paragraph

参考文献

[1]	Chadha S, Kamenov K, Cieza A 2021 Bull. W. H. O. 99 242 Google Scholar
[2]	Taylor R R, Forge A 2005 Science 307 1056 Google Scholar
[3]	Reichenbach T, Hudspeth A J 2010 Phys. Rev. Lett. 105 118102 Google Scholar
[4]	Ashmore J 2008 Physiol. Rev. 88 173 Google Scholar
[5]	Békésy V G 1960 Q. J. Exp. Physiol. Cogn. Med. Sci. 45 324 Google Scholar
[6]	Johnstone B M, Patuzzi R, Yates G K 1986 Hear. Res. 22 147 Google Scholar
[7]	Robles L, Ruggero M A, Rich N C 1991 Nature 349 413 Google Scholar
[8]	Evans E, Wilson J 1975 Science 190 1218 Google Scholar
[9]	Narayan S S, Temchin A N, Recio A, Ruggero, M A 1999 Science 282 1882 Google Scholar
[10]	Gundersen T, Skarstein O, Sikkeland T 1978 Acta Oto-Laryngol. 86 225 Google Scholar
[11]	Greenwood D D 1990 J. Acoust. Soc. Am. 87 2592 Google Scholar
[12]	Warren R L, Ramamoorthy S, Ciganovic N, Zhang Y, Wilson T M, Petrie T, Wang R K K, Jacques S L, Reichenbach T, Nuttall A, Fridberger A 2016 Proc. Natl. Acad. Sci. U. S. A. 113 4304 Google Scholar
[13]	塔娜, 张景, 许立富, 周雷, 黄新生, 饶柱石 2018 振动与冲击 37 160 Google Scholar Ta N, Zhang J, Xu L F, Zhou L, Huang X S, Rao Z S 2018 J. Vibr. Shock 37 160 Google Scholar
[14]	Mammano F, Nobili R 1993 J. Acoust. Soc. Am. 93 3320 Google Scholar
[15]	Kolston P J 1999 Proc. Natl. Acad. Sci. U. S. A. 96 3676 Google Scholar
[16]	Ruggero M A, Narayan S S, Temchin A N, Recio A 2000 Proc. Natl. Acad. Sci. U. S. A. 97 11744 Google Scholar
[17]	Duke T, Julicher F 2003 Phys. Rev. Lett. 90 158101 Google Scholar
[18]	Zhang J, Zou D L, Tian J B, Ta N, Rao Z S 2019 Appl. Acoust. 145 278 Google Scholar
[19]	Gan R Z, Reeves B P, Wang X 2007 Ann. Biomed. Eng. 35 2180 Google Scholar
[20]	Zhang X, Gan R Z 2011 IEEE Trans. Biomed. Eng. 58 3024 Google Scholar
[21]	Brown M A, Ji X D, Gan R Z 2021 Ann. Biomed. Eng. 49 757 Google Scholar
[22]	Zhou K, Liu H G, Yang J H, Zhao Y, Rao Z S, Yang S G 2019 Acta Bioeng. Biomech. 21 3
[23]	周凯, 刘后广, 饶柱石, 杨善国, 赵禹, 徐丹 2017 医用生物力学 32 369 Google Scholar Zhou K, Liu H G, Rao Z S, Yang S G, Zhao Y, Xu D 2017 J. Med. Biomech. 32 369 Google Scholar
[24]	Liu H G, Xue L, Yang J H, Liu W, Yang S G, Wang W B 2020 Appl. Acoust. 169 107473 Google Scholar
[25]	Yao W J, Ma J W, Luo X M, Luo B T 2014 J. Mech. Med. Biol. 14 1450051 Google Scholar
[26]	Yao W J, Zhong J C, Duan M L 2018 Acta Oto-Laryngol. 138 961 Google Scholar
[27]	Yao W J, Chen Y Q 2017 J. Appl. Math. Mech. 38 997 Google Scholar
[28]	Ma J W, Yao W J, Hu B L 2020 J. Biomech. Eng. 142 91005 Google Scholar
[29]	Yao W J, Liang J Y, Ren L J, Ma J W, Zhao Z S, Wang J K, Xie Y Z, Dai P D, Zhang T Y 2021 Commun. Nonlinear Sci. Numer. Simul. 104 106043 Google Scholar
[30]	Boer E D 1996 Mechanics of the Cochlea: Modeling Efforts (New York: Springer) p258

施引文献

图 1 耳蜗形体图

Fig. 1. The cochlear shape.

下载: 全尺寸图片幻灯片

图 2 基底膜模型

Fig. 2. The model of Basilar Membrane.

下载: 全尺寸图片幻灯片

图 3 特征频率曲线

Fig. 3. Characteristic frequency curve.

下载: 全尺寸图片幻灯片

图 4 位移比-频率曲线

Fig. 4. The curve of displacement ratio and frequency.

下载: 全尺寸图片幻灯片

图 5 基底膜1/5处的时域响应

Fig. 5. Time domain response at 1/5 of BM.

下载: 全尺寸图片幻灯片

图 6 基底膜特征频率处的时域响应

Fig. 6. Time domain response at characteristic frequency of BM

下载: 全尺寸图片幻灯片

图 7 基底膜1/2处的时域响应

Fig. 7. Time domain response at 1/2 of BM.

下载: 全尺寸图片幻灯片

图 8 基底膜4/5处的时域响应

Fig. 8. Time domain response at 4/5 of BM.

下载: 全尺寸图片幻灯片

图 9 不同周期时刻响应2000 Hz

Fig. 9. Response at 2000 Hz at different times.

下载: 全尺寸图片幻灯片

图 10 不同周期时刻响应4000 Hz

Fig. 10. Response at 4000 Hz at different times.

下载: 全尺寸图片幻灯片

图 11 不同周期时刻响应8000 Hz

Fig. 11. Response at 8000 Hz at different times.

下载: 全尺寸图片幻灯片

图 12 不同周期时刻响应10000 Hz

Fig. 12. Response at 10000 Hz at different times.

下载: 全尺寸图片幻灯片

图 13 2倍质量不同周期时刻响应2000 Hz

Fig. 13. Response of two times mass at different cycle times at 2000 Hz.

下载: 全尺寸图片幻灯片

图 14 10倍质量不同周期时刻响应2000 Hz

Fig. 14. Response of ten times mass at different cycle times at 2000 Hz.

下载: 全尺寸图片幻灯片

图 15 1/5处2倍质量不同周期时刻响应2000 Hz

Fig. 15. Response of two times mass at 1/5 at different cycle times at 2000 Hz.

下载: 全尺寸图片幻灯片

图 16 特征频率处2倍质量不同周期时刻响应2000 Hz

Fig. 16. Response of two times mass at characteristic frequency at different cycle times 2000 Hz.

下载: 全尺寸图片幻灯片

图 17 2倍刚度不同周期时刻响应2000 Hz

Fig. 17. Response of twice stiffness at different cycle times at 2000 Hz.

下载: 全尺寸图片幻灯片

图 18 10倍刚度不同周期时刻响应2000 Hz

Fig. 18. Response of 10 times stiffness at different cycle times at 2000 Hz.

下载: 全尺寸图片幻灯片

图 19 1/5处2倍刚度不同周期时刻响应2000 Hz

Fig. 19. Response of 2 times stiffness at 1/5 at different cycle times at 2000 Hz.

下载: 全尺寸图片幻灯片

图 20 特征频率处2倍刚度不同周期时刻响应2000 Hz

Fig. 20. Response of two times stiffness at characteristic frequency at different cycle times at 2000 Hz.

下载: 全尺寸图片幻灯片

[1]	Chadha S, Kamenov K, Cieza A 2021 Bull. W. H. O. 99 242 Google Scholar
[2]	Taylor R R, Forge A 2005 Science 307 1056 Google Scholar
[3]	Reichenbach T, Hudspeth A J 2010 Phys. Rev. Lett. 105 118102 Google Scholar
[4]	Ashmore J 2008 Physiol. Rev. 88 173 Google Scholar
[5]	Békésy V G 1960 Q. J. Exp. Physiol. Cogn. Med. Sci. 45 324 Google Scholar
[6]	Johnstone B M, Patuzzi R, Yates G K 1986 Hear. Res. 22 147 Google Scholar
[7]	Robles L, Ruggero M A, Rich N C 1991 Nature 349 413 Google Scholar
[8]	Evans E, Wilson J 1975 Science 190 1218 Google Scholar
[9]	Narayan S S, Temchin A N, Recio A, Ruggero, M A 1999 Science 282 1882 Google Scholar
[10]	Gundersen T, Skarstein O, Sikkeland T 1978 Acta Oto-Laryngol. 86 225 Google Scholar
[11]	Greenwood D D 1990 J. Acoust. Soc. Am. 87 2592 Google Scholar
[12]	Warren R L, Ramamoorthy S, Ciganovic N, Zhang Y, Wilson T M, Petrie T, Wang R K K, Jacques S L, Reichenbach T, Nuttall A, Fridberger A 2016 Proc. Natl. Acad. Sci. U. S. A. 113 4304 Google Scholar
[13]	塔娜, 张景, 许立富, 周雷, 黄新生, 饶柱石 2018 振动与冲击 37 160 Google Scholar Ta N, Zhang J, Xu L F, Zhou L, Huang X S, Rao Z S 2018 J. Vibr. Shock 37 160 Google Scholar
[14]	Mammano F, Nobili R 1993 J. Acoust. Soc. Am. 93 3320 Google Scholar
[15]	Kolston P J 1999 Proc. Natl. Acad. Sci. U. S. A. 96 3676 Google Scholar
[16]	Ruggero M A, Narayan S S, Temchin A N, Recio A 2000 Proc. Natl. Acad. Sci. U. S. A. 97 11744 Google Scholar
[17]	Duke T, Julicher F 2003 Phys. Rev. Lett. 90 158101 Google Scholar
[18]	Zhang J, Zou D L, Tian J B, Ta N, Rao Z S 2019 Appl. Acoust. 145 278 Google Scholar
[19]	Gan R Z, Reeves B P, Wang X 2007 Ann. Biomed. Eng. 35 2180 Google Scholar
[20]	Zhang X, Gan R Z 2011 IEEE Trans. Biomed. Eng. 58 3024 Google Scholar
[21]	Brown M A, Ji X D, Gan R Z 2021 Ann. Biomed. Eng. 49 757 Google Scholar
[22]	Zhou K, Liu H G, Yang J H, Zhao Y, Rao Z S, Yang S G 2019 Acta Bioeng. Biomech. 21 3
[23]	周凯, 刘后广, 饶柱石, 杨善国, 赵禹, 徐丹 2017 医用生物力学 32 369 Google Scholar Zhou K, Liu H G, Rao Z S, Yang S G, Zhao Y, Xu D 2017 J. Med. Biomech. 32 369 Google Scholar
[24]	Liu H G, Xue L, Yang J H, Liu W, Yang S G, Wang W B 2020 Appl. Acoust. 169 107473 Google Scholar
[25]	Yao W J, Ma J W, Luo X M, Luo B T 2014 J. Mech. Med. Biol. 14 1450051 Google Scholar
[26]	Yao W J, Zhong J C, Duan M L 2018 Acta Oto-Laryngol. 138 961 Google Scholar
[27]	Yao W J, Chen Y Q 2017 J. Appl. Math. Mech. 38 997 Google Scholar
[28]	Ma J W, Yao W J, Hu B L 2020 J. Biomech. Eng. 142 91005 Google Scholar
[29]	Yao W J, Liang J Y, Ren L J, Ma J W, Zhao Z S, Wang J K, Xie Y Z, Dai P D, Zhang T Y 2021 Commun. Nonlinear Sci. Numer. Simul. 104 106043 Google Scholar
[30]	Boer E D 1996 Mechanics of the Cochlea: Modeling Efforts (New York: Springer) p258

[1]	徐旭, 马文凯, 姚文娟. 耳蜗中tip-link张力与静纤毛运动动力学研究. 物理学报, 2022, 71(4): 048705. doi: 10.7498/aps.71.20211105
[2]	徐旭, 马文凯, 姚文娟. 耳蜗中tip-link张力与静纤毛运动动力学研究. 物理学报, 2021, (): . doi: 10.7498/aps.70.20211105
[3]	朱霖河, 李玲. 基于辟谣机制的时滞谣言传播模型的动力学分析. 物理学报, 2020, 69(2): 020501. doi: 10.7498/aps.69.20191503
[4]	张菊平, 郭昊明, 荆文君, 靳祯. 基于真实信息传播者的谣言传播模型的动力学分析. 物理学报, 2019, 68(15): 150501. doi: 10.7498/aps.68.20190191
[5]	杨红卫, 孟珊珊, 高冉冉, 彭硕. 光子晶体传输特性的时域精细积分法分析. 物理学报, 2017, 66(8): 084101. doi: 10.7498/aps.66.084101
[6]	梁霄, 王瑞利. 爆轰流体力学模型敏感度分析与模型确认. 物理学报, 2017, 66(11): 116401. doi: 10.7498/aps.66.116401
[7]	闫昭, 赵文静, 王荣瑶. 基于Logistic函数模型的纳米自组装动力学分析. 物理学报, 2016, 65(12): 126101. doi: 10.7498/aps.65.126101
[8]	经昊达, 张向军, 田煜, 孟永钢. 计入固液界面作用的润滑热力学模型与分析. 物理学报, 2015, 64(16): 168101. doi: 10.7498/aps.64.168101
[9]	杨毅, 唐刚, 张哲, 寻之朋, 宋丽建, 韩奎. 科赫分形基底上受限固-固模型动力学标度行为的数值研究. 物理学报, 2015, 64(13): 130501. doi: 10.7498/aps.64.130501
[10]	杨毅, 唐刚, 宋丽建, 寻之朋, 夏辉, 郝大鹏. 分形基底上受限固-固模型动力学性质的数值模拟研究. 物理学报, 2014, 63(15): 150501. doi: 10.7498/aps.63.150501
[11]	谢裕颖, 唐刚, 寻之朋, 韩奎, 夏辉, 郝大鹏, 张永伟, 李炎. 随机稀释基底上刻蚀模型动力学标度行为的数值模拟研究. 物理学报, 2012, 61(7): 070506. doi: 10.7498/aps.61.070506
[12]	张永伟, 唐刚, 韩奎, 寻之朋, 谢裕颖, 李炎. 分形基底上刻蚀模型动力学标度行为的数值模拟研究. 物理学报, 2012, 61(2): 020511. doi: 10.7498/aps.61.020511
[13]	李胜波, 闫辉, 姜洪源, 陈亮. 应用于高速转子系统的金属橡胶阻尼环动力特性分析. 物理学报, 2012, 61(1): 010702. doi: 10.7498/aps.61.010702
[14]	蒋兴凯, 张青川, 史海涛, 毛亮, 程腾, 伍小平. 基于无基底焦平面阵列红外热像仪的理论模型分析. 物理学报, 2011, 60(5): 054401. doi: 10.7498/aps.60.054401
[15]	吴渝, 杨晶晶, 王利. Swarm模型突现行为的动力学特性分析. 物理学报, 2011, 60(10): 108902. doi: 10.7498/aps.60.108902
[16]	彭维峰, 胡玉禄, 杨中海, 李建清, 陆麒如, 李斌. 螺旋线行波管注波互作用时域理论. 物理学报, 2010, 59(12): 8478-8483. doi: 10.7498/aps.59.8478
[17]	范孟豹, 曹丙花, 杨雪锋. 脉冲涡流检测瞬态涡流场的时域解析模型. 物理学报, 2010, 59(11): 7570-7574. doi: 10.7498/aps.59.7570
[18]	王迪, 付强, 杨琳, 于萍, 颜永红, 冯稷. 基于人耳听觉模型的自动嗓音评估方法. 物理学报, 2008, 57(7): 4244-4250. doi: 10.7498/aps.57.4244
[19]	韩祥临. ENSO事件随机动力学模型的渐近分析. 物理学报, 2005, 54(6): 2590-2594. doi: 10.7498/aps.54.2590
[20]	何林, 邓永元. 超荧光辐射的热力学模型分析. 物理学报, 1995, 44(1): 80-86. doi: 10.7498/aps.44.80

计量

文章访问数: 3756
PDF下载量: 82
被引次数: 0

姓名
邮箱
手机号码
标题
留言内容
验证码

搜索

留言板

被动螺旋耳蜗力学模型