Somatosensory and visual evoked potentials and brainstem auditory evoked responses in osteoarthritic cats with chronic pain - a comparative study

骨关节炎慢性疼痛猫的体感和视觉诱发电位以及脑干听觉诱发电位的比较研究

阅读:1

Abstract

Although chronic pain in feline osteoarthritis involves neuro-sensitization, the associated sensory changes have not been studied. Cats with osteoarthritis (n = 20) and healthy controls (n = 6) were assessed for peripheral (paw withdrawal threshold, PWT) and spinal (response to mechanical temporal summation, RMTS) sensitization, with lower values indicating higher neuro-sensitization. Functional impairment was assessed using the Montreal Instrument for Cat Arthritis Testing, for Use by Veterinarians [MI-CAT(V)], with higher scores indicating greater impairment. Cerebral sensory integration was evaluated using cortical somatosensory evoked potential (CSEP), brainstem auditory evoked response (BAER), and visual evoked potential (VEP) under dexmedetomidine sedation. The amplitude and latency of action potentials were recorded. The Mann-Whitney U test and Spearman's rank correlation (coefficient = ρ) were applied (α = 0.05). Cats with pain showed increased CSEP and BAER latency and amplitude (p < 0.032) but decreased VEP latency and increased amplitude (p < 0.038) compared to healthy cats. The PWT was negatively correlated with CSEP latency and amplitude (ρ = -0.51 to -0.43, p < 0.037) and BAER latency (ρ = -0.80 to -0.60, p < 0.039), while the RMTS was negatively correlated with CSEP latency (ρ = -0.48, p = 0.017). In contrast, the PWT (ρ = 0.71 to 0.76, p < 0.010) was positively correlated with VEP latency. The MI-CAT(V) score correlated with CSEP amplitude (ρ = 0.62, p = 0.006), BAER latency (ρ = 0.72 to 0.90, p < 0.008), and VEP latency (ρ = -0.73 to -0.65, p = 0.023). Sensory processing is altered in cats with osteoarthritis-associated chronic pain, suggesting differential inhibitory control mechanisms.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。