Skin relaxation predicts neural firing rate adaptation in SAI touch receptors.
Skin relaxation predicts neural firing rate adaptation in SAI touch receptors.
复制标题
皮肤松弛可预测 SAI 触觉感受器的神经放电率适应。
DOI：
10.1109/iembs.2010.5626264
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Lumpkin,EllenA
中科院分区：
文献类型：
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作者：
Williams,AaronL;Gerling,GregoryJ;Wellnitz,ScottA;Bourdon,SarahM;Lumpkin,EllenA
在响应斜坡和保持压痕，慢适应I型（SAI）传入表现出指数下降，其放电频率在保持阶段。这种适应可能与皮肤松弛有关，但既没有很好地理解，也没有定量建模。这项工作的具体假设是，皮肤松弛是观察到的放电率变化的主要贡献者。双指数函数拟合21个响应，从小鼠SAI传入的瞬时发射率和压头尖端力随时间的推移。然后通过使用力和发射率数据的拟合参数之间的线性变换来推广该模型，从而可以从力预测发射率。结果表明，广义模型匹配记录的放电率（R2= 0.65）同样好地拟合双指数函数直接放电率（R2= 0.67）的第二个数据集。当用两根D-头发纤维重复该过程时，与拟合的双指数函数（R2= 0.89）相比，广义模型与记录的放电率（R2 = 0.47）的匹配差得多。因此，SAI反应中的放电率适应可以通过皮肤松弛来预测，而单独的这个因素并不能充分描述D-头发中的适应。
In response to ramp-and-hold indentation, the slowly-adapting type I (SAI) afferent exhibits an exponential decrease in its firing frequency during the hold phase. Such adaptation may be tied to skin relaxation but is neither well understood nor has it been quantitatively modeled. The specific hypothesis of this work is that skin relaxation is a primary contributor to observed changes in firing rate. Double exponential functions were fit to 21 responses from a mouse SAI afferent for both instantaneous firing rate and indenter tip force over time. The model was then generalized by using a linear transformation between fit parameters for force and firing rate data, allowing prediction of firing rates from force. The results show that the generalized model matches the recorded firing rate (R2= 0.65) equally well as fitting a double-exponential function directly to firing rate (R2= 0.67) for a second dataset. When the procedure was repeated with two D-hair fibers, the generalized model matched the recorded firing rate (R2= 0.47) much more poorly compared to the fitted double-exponential function (R2= 0.89). Thus, firing rate adaptation in SAI responses can be predicted by skin relaxation, whereas this factor alone did not adequately describe adaptation in the D-hair.