Department of Physiology, Northwestern University, Chicago, IL 60611, USA.
J Neurophysiol. 2010 Jun;103(6):3219-37. doi: 10.1152/jn.00904.2009. Epub 2010 Apr 7.
Responses of vestibular-only translation sensitive (VOTS) neurons in vestibular nuclei of two squirrel monkeys were studied at multiple frequencies to three-dimensional translations and rotations. A novel frequency-dependent spatiotemporal analysis examined in each neuron whether complex models, with unrestricted response dynamics in three-dimensional (3D) space, provided significantly better fits than restricted models following simple, cosine rule. Subsequently, the statistically selected optimal model was used to predict the maximum translation direction, expressed as a unitary vector, Vt(max), and its associated sensitivity and phase across frequencies. Simple models were sufficient to quantify the 3D translational responses of 66% of neurons. Most VOTS neurons, complex or simple, exhibited flat-gain or low-pass response dynamics. The Vt(max) of simple neurons was fixed, whereas that of complex neurons changed with frequency. The spatial distribution of Vt(max) in simple neurons, which fell within 30 degrees of either the horizontal plane or/and the sagittal plane, was closely aligned with Vt(max) of vestibular afferents. In contrast, the frequency-dependent Vt(max) of most complex neurons migrated from the dorsoventral axis at higher frequency toward the horizontal plane, especially the interaural axis, at lower frequency. When the maximum rotation direction was estimated from responses of the same VOTS neurons to 1.2 Hz yaw, pitch, and roll rotations, complex neurons were more likely to respond to rotations activating vertical canals. Responses to 0.15-0.3 Hz linear accelerations produced by inertial or gravitational forces were indistinguishable in most complex neurons but significantly different in most simple neurons. These observations suggest that simple and complex VOTS neurons constitute distinctive vestibular pathways where complex neurons, exhibiting a novel spatiotemporal filtering mechanism in processing otolith-related signals, are well suited to drive tilt-related responses, whereas simple neurons probably mediate pure translation related responses.
研究了两只松鼠猴前庭核中仅对平移敏感的(VOTS)神经元对三维平移和旋转的反应,这些神经元在多个频率下进行了研究。在每个神经元中,一种新颖的频率相关时空分析检查了复杂模型是否比简单的、基于余弦规则的受限模型提供了更好的拟合,这些复杂模型在三维(3D)空间中具有不受限制的反应动力学。随后,使用统计上选择的最佳模型来预测最大平移方向,以单位向量 Vt(max)表示,以及其在整个频率范围内的相关敏感性和相位。简单模型足以量化 66%的神经元的 3D 平移反应。大多数 VOTS 神经元,无论是复杂的还是简单的,都表现出平坦增益或低通响应动力学。简单神经元的 Vt(max)是固定的,而复杂神经元的 Vt(max)随频率变化。简单神经元的 Vt(max)的空间分布在水平平面或/和矢状面的 30 度以内,与前庭传入的 Vt(max)密切对齐。相比之下,大多数复杂神经元的频率相关 Vt(max)从较高频率的背腹轴向较低频率的水平平面,特别是耳间轴迁移。当从相同的 VOTS 神经元对 1.2 Hz 偏航、俯仰和滚动旋转的反应中估计最大旋转方向时,复杂神经元更有可能对激活垂直管的旋转做出反应。大多数复杂神经元对惯性或重力产生的 0.15-0.3 Hz 线性加速度的反应无法区分,但大多数简单神经元的反应明显不同。这些观察结果表明,简单和复杂的 VOTS 神经元构成了独特的前庭途径,其中复杂神经元在处理耳石相关信号时表现出新颖的时空滤波机制,非常适合驱动倾斜相关反应,而简单神经元可能介导纯平移相关反应。