摘要
背景振荡电位(OPs)是评估视网膜缺血缺氧性疾病视网膜功能变化的重要工具,利用视网膜退行性病变动物模型对视锥、视杆通路起源的OPs特点进行研究非常重要。目的在两种自发性视网膜退行性病变模型大鼠中分离视锥、视杆通路,对比分析视杆、视锥通路起源的OPs波的特点。方法采用雄性SD大鼠、锥体细胞失功能(RCD)大鼠、先天性静止性夜盲(CSNB)大鼠各6只,以RETI—scan视觉生理记录系统分别在暗适应(12h)和明适应(10min)条件下,用不同强度的刺激光(-35、-25、-15、-5、0、5db)进行刺激,记录各组大鼠的闪光视网膜电图(FERG),通过Matlab7.0的Butterworth滤波提取OPs,采用快速傅里叶变换(FFT)对所得OPs进行频谱分析。结果暗适应条件下SD大鼠和RCD大鼠的ERG均可见a波和b波,但CSNB大鼠b波阙如;明适应条件下,sD大鼠和CSNB大鼠可见b波,但RCD大鼠各波阙如。暗适应较高刺激光强度下,SD大鼠和RCD大鼠均有低频(主频)和高频(次频)两个明显的频峰,分别为75~110Hz、90~120Hz和90—120Hz、110~135Hz;不同刺激光强度下,CSNB大鼠只有一个频峰,为70~100Hz。而明适应不同刺激光强度下,sD大鼠和CSNB大鼠均只有一个频峰,分别为75~95Hz和70~85Hz。明适应条件下与sD大鼠比较,CSNB大鼠b波隐含时延长,b波振幅明显下降,差异均有统计学意义(P〈O.05);暗适应条件下,RCD大鼠b波隐含时和振幅与sD大鼠比较,差异无统计学意义(P〉0.05);与sD大鼠比较,RCD和CSNB大鼠OPs波振幅下降,隐含时延长,差异均有统计学意义(P〈0.05);明适应条件下不同刺激光强度下CSNB大鼠OPs波的隐含时明显长于sD大鼠,振幅明显低于SD大鼠,差异均有统计学意义(P〈0.05)。结论视锥、视杆通路起源的OPs有不同特性,自发性视网膜退行性改变大鼠的视杆OPs有两个频峰,正常情况下,视杆通路对OPs的贡献比视锥通路大。
Background Oscillatory potentials (OPs) has been used extensively in experimental research and clinical diagnosis, but it is well known that OPs are the summating potentials originated from retinal rod and cone. To separate the rod and cone OPs is helpful for us to diagnose some retinal diseases. Objective This study was to analyze the characteristics of cone-and rod-driven OPs. Methods The retinal cone degeneration (RCD) and congenital stationary night blindness(CSNB) rats were used in this study and SD rats served as control,and 6 rats for each kinds of animals. Scotopic and photopic OPs were recorded in each rat under the dark adaptation for 12 hours and light adaptation for 10 minutes at the stimulate light intensities of -35,-25,-15,-5,0,5 db respectively with RETI- scan Visual Electrophysical System. The seotopic and photopic OPs were extracted from flash electroretinogram (FERG) with MatlabT. 0 Butterworth filtering waves, and the frequency spectrum of the OPs was analyzed by fastFourier transform. The characteristics of OPs from RCD rats and CSNB rats were assessed and compared. Results The a wave and b wave of ERG were showed under the dark adaptation condition in both SD and RCD rats,but the b wave was absent in CSNB rat. Under the light adaptation condition,b wave was seen in both SD and CSNB rats,but a wave and b wave of RCD rat were absent. Two peaks were exhibited in both SD and RCD rats under the dark- adaptation condition and high intensity of stimulate light at the lower frequency( domain frequency) of 75-110 Hz, 90-120 Hz and high frequency (minor frequency) 90-120 Hz, 110-135 Hz respectively. In various intensities of stimulate light, CSNB rats appeared a peak at 70-100 Hz. But in light-adaptation and various intensities of stimulate light,the frequency peaks were seen at 75-95 Hz and 70-85 Hz from both SD and CSNB rats respectively. However, under the light adaptation condition,only one peak was seen in SD and CSNB rats at the 75-95 Hz and 70-85 Hz respectively. Compared with SD rats,the mean implied time of b wave was delayed and the amplitude was lowed under the light adaptation(P〈0. 05) ,however, no significant differences were found in the implied time and amplitude of b wave of scotopic ERG between SD rats and RCD rats (P〉0. 05). The scotopic OPs showed the prolong implied time and depressed amplitudes in RCD rats and CSNB rats compared with SD rats ( P 〈 O. 05 ) , and the photopic OPs presented the prolong implied time and lowed amplitude in CSNB rat in comparison with SD rats (P〈0.05). Conclusions Cone- and rod-driven OPs appear very different characteristics. The results of this study imply that rod pathway gives more contribution to OPs than cone pathway. Analysis of these results will be helpful for the exploration of the origin of OPs and the diagnosis of the related disease.
出处
《中华实验眼科杂志》
CAS
CSCD
北大核心
2012年第3期246-252,共7页
Chinese Journal Of Experimental Ophthalmology
基金
国家自然科学基金项目(30872838/H1206)
关键词
视觉电生理/视网膜电图
振荡电位
视网膜变性动物模型/视网膜锥体失能大鼠
先天性
静止性夜盲大鼠
傅里叶变换
频谱分析
Visual electrophysiology/electroretinopathy, oscillatory potential
Retinal degeneration animalmodel/ retinal cone degeneration rat, congenital stationary night blindness rat
Fourier transform
Frequencyspectrum analysis