Wavelet analysis reveals dynamics of rat oscillatory potentials

Forte, Jason D.; Bui, Bang V.

doi:10.1016/j.jneumeth.2007.12.007

Cited by 28 publications

(26 citation statements)

References 30 publications

(30 reference statements)

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“…Data analysis for the oscillatory potentials was obtained using MatLab software with a digital band-pass filter set for 60-300 Hz and the peak wavelets of the 4 wavelets were measured from trough to peak. (Forte et al 2007; Weymouth and Vingrys 2008). Statistics were done on the mean ± SD amplitudes of the a- and b-wave of each treatment group at 2-, 6- and 8-months.…”

Section: Methodsmentioning

confidence: 99%

Application of isoproterenol inhibits diabetic-like changes in the rat retina

Jiang

Walker

Kern

et al. 2010

Experimental Eye Research

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Diabetic retinopathy is the leading cause of blindness to working-age adults. We have recently shown that surgical removal or genetic manipulations to eliminate sympathetic neurotransmission produces many of the retinal changes similar to rodent diabetic retinopathy with normal glucose levels. We hypothesized that application of a beta-adrenergic receptor agonist, isoproterenol, could reach the retina to elicit normal cellular signaling and inhibit the functional and morphological markers of early stage diabetic retinopathy in the rat. Rats were made diabetic by injection of 60mg/kg streptozotocin. Within 3 days of diabetes-induction, rats were placed into 1 of 3 groups (control, diabetes, or diabetic + isoproterenol). Dose and time course studies were done for isoproterenol using a PKA ELISA and CREB analyses. Once the optimal dose and time course were established, electrical activity of the retina was analyzed by electroretinogram each month for the 8-month study. Western blotting was done for insulin receptor signaling and Akt and ELISA analyses for TNFα concentration and cleavage of caspase 3 at 2- and 8-months of diabetes. Diabetes-induced degeneration of neural cells and retinal thickness were assessed at 2 months, while degenerate capillaries were quantitated at 8 months of treatment. Daily application of 50mM isoproterenol was effective in inhibiting the diabetes-induced loss of a- and b-wave and oscillatory potential amplitudes in the electroretinogram. Isoproterenol blocked the increase in TNFα and apoptosis in the diabetic retina. The numbers of degenerate capillaries were also reduced in the treated + diabetes retina. These data strongly suggest that loss of beta-adrenergic receptor signaling may be a key factors in early stage diabetic retinopathy. Resolution of this loss of adrenergic receptor signaling can inhibit some of the hallmarks of diabetic retinopathy in the retina.

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Section: Methodsmentioning

confidence: 99%

Application of isoproterenol inhibits diabetic-like changes in the rat retina

Jiang

Walker

Kern

et al. 2010

Experimental Eye Research

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“…The correlation magnitudes are expressed as a pink-scale in terms of a scalogram with relative magnitude normalized to the peak value for each luminance value. The WA of the traces shows the correlation existing with the MHW through the existence of clusters in the corresponding scalogram (Forte et al 2008;Durka 2003;Jedrzejczak et al 2005). Figure 2 shows the outcome of the WA performed on the waveforms depicted in Fig.…”

Section: Graphical Presentationmentioning

confidence: 99%

“…There exist different methods of displaying the results: we, here, calculate the absolute value of WT(r, s) and then normalize it to the maximum value for each luminance value (Forte et al 2008;Durka 2003;Jedrzejczak et al 2005). Thus, Eq.…”

Section: Graphical Presentationmentioning

confidence: 99%

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ERG signal analysis using wavelet transform

2011

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The wavelet analysis is a powerful tool for analyzing and detecting features of signals characterized by time-dependent statistical properties, as biomedical signals. The identification and the analysis of the components of these signals in the time-frequency domain, give meaningful information about the physiological mechanisms that govern them. This article presents the results of the wavelet analysis applied to the a-wave component of the human electroretinogram. In order to deepen and improve our knowledge about the behavior of the early photoreceptoral response, including the possible activation of interactions and correlations among the photoreceptors, we have detected and identified the stable time-frequency components of the a-wave, using six representative values of luminance. The results indicate the occurrence of three frequencies lying in the range 20-200 Hz. The lowest one is attributed to the summed activities of the photoreceptors. The others are weaker and at low luminance one of them does not occur. We relate them to the response of the rods and the cones whose aggregate activities are non-linear and typically exhibit self-organization under selective stimuli. The identification of the stable frequency components and of their times of occurrence helps us to shine light about the complex mechanisms governing the a-wave. The present results are promising toward the assessment of more refined model concerning the photoreceptoral activities.

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“…Would the use of such an approach significantly improve analysis of the ERG beyond what is accomplished when using time and amplitude measures of the ERG only? Although advanced analytical approaches are now frequently used when studying biopotentials, such as the electroencephalogram [13], the electrocardiogram [14], and the electromyogram [15], to date they have only been sporadically applied to the ERG [8, 16, 17]. The purpose of this study was therefore to compare peak time and amplitude measurements of human photopic ERGs with measures obtained in the frequency domain using the Fourier analysis as well as in the time-frequency domain using the continuous (CWT) and discrete (DWT) wavelet transforms.…”

Section: Introductionmentioning

confidence: 99%

Advance in ERG Analysis: From Peak Time and Amplitude to Frequency, Power, and Energy

Gauvin

Lina

Lachapelle

2014

BioMed Research International

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Purpose. To compare time domain (TD: peak time and amplitude) analysis of the human photopic electroretinogram (ERG) with measures obtained in the frequency domain (Fourier analysis: FA) and in the time-frequency domain (continuous (CWT) and discrete (DWT) wavelet transforms). Methods. Normal ERGs (n = 40) were analyzed using traditional peak time and amplitude measurements of the a- and b-waves in the TD and descriptors extracted from FA, CWT, and DWT. Selected descriptors were also compared in their ability to monitor the long-term consequences of disease process. Results. Each method extracted relevant information but had distinct limitations (i.e., temporal and frequency resolutions). The DWT offered the best compromise by allowing us to extract more relevant descriptors of the ERG signal at the cost of lesser temporal and frequency resolutions. Follow-ups of disease progression were more prolonged with the DWT (max 29 years compared to 13 with TD). Conclusions. Standardized time domain analysis of retinal function should be complemented with advanced DWT descriptors of the ERG. This method should allow more sensitive/specific quantifications of ERG responses, facilitate follow-up of disease progression, and identify diagnostically significant changes of ERG waveforms that are not resolved when the analysis is only limited to time domain measurements.

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Wavelet analysis reveals dynamics of rat oscillatory potentials

Cited by 28 publications

References 30 publications

Application of isoproterenol inhibits diabetic-like changes in the rat retina

Application of isoproterenol inhibits diabetic-like changes in the rat retina

ERG signal analysis using wavelet transform

Advance in ERG Analysis: From Peak Time and Amplitude to Frequency, Power, and Energy

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