Responses of rapidly adapting afferent neurons to dynamic stretch of rat hairy skin

A Multivariate Logistical Model for Identifying the Compressive Sensitivity of Single Rat Tactile Receptors as Nanobiosensors

Tactile sensation is a complex manifestation of mechanical stimuli applied to the skin. At the most fundamental level of the somatosensory system is the cutaneous mechanoreceptor. The objective here was to establish a framework for modeling afferent mechanoreceptor behavior as a nanoscale biosensor under dynamic compressive loads using multivariate regression techniques. A multivariate logistical model was chosen because the system contains continuous input variables and a singular binary-output variable corresponding to the nerve action potential. Subsequently, this method was used to quantify the sensitivity of ten rapidly adapting afferents from rat hairy skin due to the stimulus metrics of compressive stress, strain, their respective time derivatives, and interactions. In vitro experiments involving compressive stimulation of isolated afferents using pseudorandom and nonrepeating noise sequences were completed. An analysis of the data was performed using multivariate logistical regression producing odds ratios (ORs) as a metric associated with mechanotransduction. It was determined that cutaneous mechanoreceptors are preferentially sensitive to stress (mean OR(max) = 26.10), stress rate (mean OR(max) = 15.03), strain (mean OR(max) = 12.01), and strain rate (mean OR(max) = 7.29) typically occurring within 7.3 ms of the nerve response. As a novel approach to receptor characterization, this analytical framework was validated for the multiple-input, binary-output neural system.

Quantitative Analyses of Dynamic Strain Sensitivity in Human Skin Mechanoreceptors

Microneurographical recordings from 24 slowly adapting (SA) and 16 fast adapting (FA) cutaneous mechanoreceptor afferents were obtained in the human radial nerve. Most of the afferents innervated the hairy skin on the back of the hand. The afferents' receptive fields were subjected to controlled strains in a ramp-and-hold fashion with strain velocities from 1 to 64% · s−1, i.e., strain velocities within most of the physiological range. For all unit types, the mean variation in response onset approached 1 ms for strain velocities >8% · s−1. Except at the highest strain velocities, the first spike in a typical SAIII unit was evoked at strains <0.5% and a typical SAII unit began to discharge at <1% skin strain. Skin strain velocity had a profound effect on the discharge rates of all classes of afferents. The “typical” peak discharge rate at the highest strain velocity studied was 50–95 imp/s−1 depending on unit type. Excellent fits were obtained for both SA and FA units when their responses to ramp stretches were modeled by simple power functions ( r2 > 0.9 for 95% of the units). SAIII units grouped with SAII with respect to onset latency and onset variation but with SAI units with respect to dynamic strain sensitivity. Because both SA and FA skin afferents respond strongly, quickly, and accurately to skin strain changes, they all seem to be able to provide useful information about movement-related skin strain changes and therefore contribute to proprioception and kinesthesia.

Encoding of tensile stress and strain during stretch by muscle mechano-nociceptors

Groups III and IV muscle mechano-nociceptors (MNs) can be stimulated during noxious stretch, as may occur during hyperextension of a joint. However, the mechanical state (characterized by stress and strain) encoded by MNs during stretch has not previously been determined. The current study used an ex vivo gracilis muscle-nerve preparation in a rat model to apply either a uniform uniaxial or pseudo-shear-loading paradigm. Single mechanically sensitive group III or IV MNs were mechanically stimulated while plane stress and strain were measured at the location of the MN's receptive field. Linear regression was used to evaluate the relationships between neural response and mechanical stress and strain. The mean neural response (threshold, 47.2 kPa; sensitivity, 0.05 Hz/kPa) was highly correlated to tensile stress, tensile strain, and in-plane compressive strain but was significantly and substantially less correlated with shear strain. Although the overall stress and strain relationship was nonlinear, it was reasonably linear (r2 = 0.92) for levels suprathreshold for MNs. Hence, at tensile loads sufficient to stimulate MNs, the muscle was acting as a pseudo-elastic tissue. Thus, muscle MNs encode noxious stretch differently than compression and exhibit different encoding of stretch than cutaneous MNs.

Integrin α2β1 affects mechano-transduction in slowly and rapidly adapting cutaneous mechanoreceptors in rat hairy skin

The role of a transmembrane protein, integrin alpha2beta1, to modulate the neural responses of cutaneous mechanoreceptors to mechanical indentation was examined using an isolated skin-nerve preparation in a rat model. Skin and its intact innervation were harvested from the medial thigh of the hindlimb and placed in a dish containing synthetic interstitial fluid. Using a standard teased nerve preparation, the neural responses of single slowly or rapidly adapting mechanoreceptors (SA or RA, respectively) were identified and the afferents categorized according to standard protocols (i.e. response to constant stimuli). The most sensitive spot of a mechanoreceptor's receptive field was identified and then stimulated using controlled compressive stress (constant or dynamic loads between threshold and saturation load for SAs and RAs, respectively). Loads were applied before, during, and after passive diffusion into the skin of a function-blocking anti-integrin alpha2 monoclonal antibody (FBmAb) or one of two types of control antibodies (immunoglobulin G or a FBmAb conjugated with a secondary antibody). The sensitivities of both SA and RA mechanoreceptors were profoundly reduced in the presence of the FBmAb, while not changing the waveforms of their action potentials or their adaptation properties. Both control antibodies had no significant effect on mechanoreceptors' sensitivities. Following removal of the FBmAb, the effects in some neurons were partially reversible. Taken together, the data from this study support the hypothesis that integrin alpha2beta1 plays a significant role in modulating mechanoreceptive response to compressive indentation.

Stretch sensitivity of cutaneous RA mechanoreceptors in rat hairy skin

Twenty-five rapidly adapting mechanoreceptor afferents were recorded in an in vitro preparation of rat skin and nerve. Single units were recorded while the skin was subjected to dynamic uniaxial stretch using a pseudo-Gaussian noise (PGN) input waveform. Force was the controlled variable in stretch stimuli. Measured loads and displacements were used to calculate tensile stresses, strains, and their rates of change. Associations between spike responses and individual stimulus components such as tensile stress or strain were determined in a reverse correlation design using multiple logistic regression. Spikes were strongly associated with stress, at memory times from 0 to 14 ms, and with the rate of change of stress, at a memory times between 6 and 18 ms. There was a strong interaction between stress and its rate of change, with a maximum value at a memory time of 10 ms. We found no relationship between spike responses and strain.

Stretch responses of cutaneous RA afferent neurons in mouse hairy skin

Rapidly adapting (RA), stretch-sensitive neurons were recorded in vitro, using an isolated preparation of skin and nerve from mouse hindlimb. The skin was stretched uniaxially using a pseudo-Gaussian noise stimulus. Loads and displacements were recorded as were spike responses of single RA afferent neurons. The goal was to determine what components of the mechanical stimulus were associated with spike responses. The association between stimuli and spike responses was measured using multiple logistic regression. Spike responses were strongly associated with the rate of change of stress and weakly associated with the rate of change of strain and with stress. There was no association between spike responses and strain. There were significant memory effects associated with each variable, and memory effects differed for each variable. The maximal effect of the rate of change of stress was observed 8-12 ms prior to a spike.

Encoding of compressive stress during indentation by group III and IV muscle mechano-nociceptors in rat gracilis muscle

The mechanical state encoded by group III and IV muscle afferents, putative mechano-nociceptors, during indentation was examined using an isolated muscle-nerve preparation in a rat model. Gracilis muscle and its intact innervation were surgically removed from the medial thigh of the rat hindlimb and placed in a dish containing rodent synthetic interstitial fluid. The tendons of the muscle were coupled to an apparatus that could stretch and apply compression to the muscle. Using a standard teased-nerve preparation, the neural responses of single mechanically sensitive group III or IV afferents were identified. Afferents were classified as mechano-nociceptors on the basis of their graded response to noxious levels of compressive stress (or strain) as well as, in some cases, their polymodal response to noxious thermal stimuli. Mechano-nociceptors (n = 13) were stimulated using controlled compressive stress (10-30 kPa) or strain (40-80%) while simultaneously measuring displacement and force by compressing the muscle between a flat cylinder and a hard platform. Linear regression was used to evaluate the relationships between neural response and mechanical stress, force, strain, and displacement. The mean neural response (threshold: 1.1 +/- 0.4 kPa; sensitivity: 0.5 +/- 0.1 Hz/kPa; means +/- SE) was significantly and substantially more highly correlated with compressive stress than force, strain, or displacement. The data from this study support the hypothesis that muscle nociceptors stimulated by indentation encode compressive stress rather than force, strain, or displacement.

Stretch sensitivity of cutaneous afferent neurons

Experiments were done to characterize responses to stretch and to determine what stretch-related mechanical variables are most closely associated with stretch. Cutaneous afferent neurons were recorded using an in vitro preparation of rat hairy skin. SA2 afferents and mechanically sensitive C afferents were studied using static stretch stimuli in which the skin was stretched along different directions. RA afferents were studied using uniaxial, dynamic stimuli. Both applied loads and skin deformations were recorded; they were used to calculate tensile stresses and strains, respectively. SA2 afferents were highly directionally sensitive and had low thresholds for activation. Their responses to static stimuli were closely related to tissue stress and poorly related to strain. C mechanoreceptors lacked directional selectivity, and had thresholds for activation that were similar to SA2s. Their responses to static stretch were more strongly related to stress than to strain variables. The main focus of this chapter is RA afferents. It was possible to apply powerful methods for determining the relationship between RA responses and cutaneous stresses and strains. RA responses were strongly driven by rate of change of stress, with a very small contribution from the static component of stress. There were strong memory effects. The strongest influence on RA afferents was by the rate of change of stress approximately 30 msec prior to the occurrence of a spike.

Encoding of compressive stress during indentation by slowly adapting type I mechanoreceptors in rat hairy skin

The mechanical state encoded by slowly adapting type 1 mechanoreceptors (SAI) during indentation was examined using an isolated preparation in a rat model. Skin and its intact innervation were harvested from the medial thigh of the rat hindlimb and placed in a dish, with the corium side down, containing synthetic interstitial fluid. The margins of the skin were coupled to an apparatus that could stretch and apply compression to the skin. Using a standard teased nerve preparation, the neural responses of single SAIs were identified. SAIs were stimulated, using controlled compressive stress while simultaneously measuring displacement, by compressing the skin between indenters (flat cylinders) of different diameters and a hard platform. SAIs were subcategorized according to whether their neural response saturated above or below 10 kPa compressive stress (SAI-H or SAI-L, respectively). Linear regression was used to evaluate the relationships between neuron response and stress and force and displacement. For all SAIs, the mean neural response was significantly and substantially more highly correlated with compressive stress than force or displacement. For the SAI-L subcategory, the mean correlation coefficient was significantly and substantially greater for stress than for force but not significantly different for displacement. The data from this study support the hypothesis that SAI mechanoreceptors stimulated by indentation encode compressive stress rather than force, displacement, or strain.

Wavelets of excitability in sensory neurons

We have investigated variations in the excitability of mammalian cutaneous mechanoreceptor neurons. We focused on the phase dynamics of an action potential relative to a periodic stimulus, showing that the excitability of these sensory neurons has interesting nonstationary oscillations. Using a wavelet analysis, these oscillations were characterized through the depiction of their period as a function of time. It was determined that the induced oscillations are weakly dependent on the stimulus frequency, and that lower temperatures significantly reduce the frequency of the phase response. Our results reveal novel excitability properties in sensory neurons, and, more generally, could prove significant in the deduction of mechanistic attributes underlying the nonstationary excitability in neuronal systems. Since peripheral neurons feed information to the CNS, variable responses observed in higher regions may be generated in part at the site of sensory detection.

Dynamic knee stability: current theory and implications for clinicians and scientists

We will discuss the mechanisms by which dynamic knee stability may be achieved and relate this to issues that interest clinicians and scientists concerned with dynamic knee stability. Emphasis is placed on the neurophysiologic evidence and theory related to neuromuscular control. Specific topics discussed include the ensemble firing of peripheral mechanoreceptors, the potential for muscle stiffness modulation via force and length feedback, postural control synergies, motor programs, and the neural control of gait. Factors related to answering the difficult question of whether or not knee ligament injuries can be prevented during athletic activities are discussed. Prevention programs that train athletes to perform their sport skills in a safe fashion are put forth as the most promising prospect for injury prevention. Methods of assessing neuromuscular function are reviewed critically and the need for future research in this area is emphasized. We conclude with a brief review of the literature regarding neuromuscular training programs.