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PubMed2000

[Distribution in normal subjects of performance in Token test: a basic study for the diagnosis of learning disabilities].

For the diagnosis of specific reading disorder (SRD) we studied the distribution in 187 elementary school children of the scores of Token test. Token test was performed under two conditions: listening and reading by presenting the same sentences. The diagnosis required a normal score under the listening condition, an abnormally low score under the reading condition and significantly large discrepancy between them. This test is valid and convenient for the diagnosis of SRD.

Acoustic Stimulation↗

PubMed1990

Fast and slow isoforms of troponin I and troponin C. Distribution in normal rabbit muscles and effects of chronic stimulation.

Polyclonal antibodies were raised against troponin I (TnI) and troponin C (TnC) purified from fast-twitch and slow-twitch rabbit muscles. These antibodies were used to elucidate the distribution of fast and slow isoforms of TnI and TnC in normal and chronically stimulated rabbit hind limb muscles by immunoblots of one-dimensional and two-dimensional electrophoreses. In contrast to the multiplicity of fast and slow troponin T (TnT) isoforms, TnI and TnC were present as unique fast and slow isoforms. Whereas no charge variants were detected for slow TnI, fast TnI was present in at least three charge variants. As judged from the results of alkaline phosphatase digestion, these charge variants represent differently phosphorylated forms. Fast and slow TnC both exist as two charge variants which, however, were unaffected by alkaline phosphatase treatment. Chronic low-frequency stimulation of fast-twitch muscles induced progressive increases in the slow isoforms of TnC and TnI at the expense of their fast isoforms. The extent of the fast-to-slow transition was more pronounced in the case of TnC than in that of TnI. Long-term stimulated muscles with a complete fast-to-slow transition, at the level of the TnT isoforms, still contained fast and slow isoforms of both TnI and TnC. The coexistence of fast and slow isoforms of the three troponin subunits in the transforming muscle was interpreted as indicating the presence of hybrid troponin molecules composed of fast and slow isoforms. Studies at the mRNA level showed changes similar to those at the protein level. However, in long-term stimulated muscles, the fast-to-slow transition of TnI was more pronounced at the mRNA level than at the protein level.

Animals↗

PubMed2000

Robust estimation of the probabilities of 3-D clusters in functional brain images: application to PET data.

Recently, we presented a method (the CS method) for estimating the probability distributions of the sizes of supra threshold clusters in functional brain images [Ledberg A, Akerman S, Roland PE. 1998. Estimating the significance of 3D clusters in functional brain images. NeuroImage 8:113-128]. In that method, the significance of the observed test statistic (cluster size) is assessed by comparing it with a sample of the test statistic obtained from simulated statistical images (SSIs). These images are generated to have the same spatial autocorrelation as the observed statistical image (t-image) would have under the null hypothesis. The CS method relies on the assumptions that the t-images are stationary and that they can be transformed to have a normal distribution. These assumptions are not always valid, and thus limit the applicability of the method. The purpose of this paper is to present a modification of the previous method, that does not depend on these assumptions. This modified CS method (MCS) uses the residuals in the linear model as a model of a dataset obtained under the null hypothesis. Subsequently, datasets with the same distribution as the residuals are generated, and from these datasets the SSIs are derived. These SSIs are t-distributed. Thus, a conversion to normal distribution is no longer needed. Furthermore, no assumptions concerning the stationarity of the statistical images are needed. The MCS method is validated on both synthetical images and PET images and is shown to give accurate estimates of the probability distribution of the cluster size statistic.

Brain↗

PubMed1988

Color imaging of the human middle latency response.

Color imaging brain mapping techniques were applied to the middle latency response in 40 normal-hearing, neurologically intact adults. Stimuli included 9/sec and 41/sec clicks and 500 and 2000 Hz tone bursts. Wave Na had no specific focus of activity while wave Pa was largest in amplitude over the vertex and frontal lobes. Variables such as the baseline from which amplitude measures are made (prestimulus versus preceding wave) and reference electrode (ipsilateral mastoid versus C7) were assessed. The preceding trough (Na) yielded a more precise measure of Pa amplitude than the prestimulus baseline. The reference electrode location did not influence the topography of wave Pa, although response amplitudes were significantly larger with the noncephalic reference. Two averaging strategies were assessed: (1) averaging the entire pre- and poststimulus epoch point for point across individuals and (2) averaging the voltage of Pa at the latency of Pa for each individual. The z statistic was evaluated as a means for identifying clinically encountered abnormalities. The use of this measure was found to be problematic because such an analysis assumes normally distributed data while Pa amplitude approximates a gamma distribution. The z statistic may be more appropriate for the analysis of interhemispheric differences, which have a normal distribution with a mean close to zero. Responses obtained to 500 Hz stimuli tended to be larger than 2000 Hz-elicited responses. Of interest clinically, is that Pa amplitude was largest at electrode location Fz. The scalp topography and subsequent conclusions regarding 9 versus 41/sec responses differed depending on the data analysis strategy used, emphasizing the importance of these strategies. Future directions for this technology were discussed.

Adult↗

PubMed1996

Directional dominance and a developmental model for the expression of the Tda testis-determining autosomal trait of the mouse.

The POSCH-2 Y chromosome from the poschiavinus variety of Mus musculus domesticus causes incomplete testis development in the recessive autosomal background of the C57BL/6J laboratory mouse strain. Testis development is normal with the POSCH-2 Y in its native strain background as well as in some strains of the laboratory mouse such as DBA/2J. The phenotype or expression of XY gonadal hermaphroditism in a C57BL/6J strain, which was constructed to be consomic for the POSCH-2 Y, is a threshold trait in which liability is normally distributed and thresholds in the development of the testis define the probability of observing XY embryos with different combinations of ovaries, ovotestes, and testes. The difference in this testis-determining autosomal or Tda trait between the C57BL/6J and DBA/2J strain pair has been demonstrated to be multigenic. We conducted a survey among different strains of the laboratory mouse by test mating females with C57BL/6J.Y-POS males that are consomic for the POSCH-2 Y. We identified five groups of strains with significantly different response of XY gonadal hermaphroditism in their XY-POS F1 test embryos. In test embryos, four groups of strains produced gonadal hermaphroditism with different distributions of the types of gonad that appear to have the same variance or shape of a normally distributed liability, but the means of the distributions are at different locations on a scale of gonadal development. The fifth group of strains produced only tests in the test embryos. Several additional matings produced results suggesting that a model of dominance, in the direction of more complete testis development, could interpret the strain differences. The differences in response to the POSCH-2 Y chromosome among the five groups of strains may represent the phenotypes of the genetic recombinants in the Tda trait that were suggested previously by a segregation analysis between C57BL/6J and DBA/2J. The strains may also provide the tools to further dissect the allelic differences and locus determinants of the Tda trait.

Animals↗

PubMed1983

Twenty-four-hour pattern of ventricular excitation rhythm in resting normal human subjects.

Using a biotelemetry system, the electrocardiogram (ECG) was continuously measured over 24 hr in a given environmental condition in 8 normal human subjects. The frequency of ventricular excitation rhythm (VER) was obtained from inverse of R-R interval of ECG. This study was undertaken to be informed of the variation of VER over 24 hr in resting normal subjects with different ages. The averaged frequency of VER per day (VERd) and its relative coefficient of variation (CV) ranged from 1.44 to 1.01 Hz (mean: 1.24 Hz) and 26 to 10% (mean: 20%) with age of 10 to 73 years (mean: 42 years). VERd and CV showed a tendency to decrease with age. The VERd histogram showed not a normal distribution but a multimodal distribution. Two or three large positive deviations, denoted as L, N, and H modal components, from the normal distribution curve were detected. The mode of L and H modal components was 1.01 and 1.37 Hz, respectively. The frequency distribution of L and H modal components changed with relation to a circadian rhythm and sleep-wakefulness cycles. An hourly histogram of ventricular excitation rhythm (VERh) frequently showed an unimodal distribution and the relative coefficient of variation of VERh ranged from 7.9 to 13.3% which was smaller than that of CV. The mode of VERh histogram changed in association with the circadian rhythm, the sleep-wakefulness cycles and a fluctuation period of 2 to 3 hr.

Adolescent↗

PubMed1997

Erythrocyte magnesium in elderly patients: not a reliable guide to magnesium status.

To assess body magnesium status in various illness states in older people by measurement of serum magnesium (S Mg) and erythrocyte magnesium (E Mg) and to explore the limitations of E Mg measurement. S Mg and E Mg were measured in 150 consecutive out-patients, mean age 77 years, and in 100 consecutive in-patient admissions, mean age 80 years. Results were analysed for different diagnostic groups S Mg was normally distributed for both in-patients and out-patients, mean values 0.79 mmol/l and 0.77 mmol/l respectively. In-patient E Mg concentrations were often higher but the distribution was considerably skewed, median 2.28 mmol/l, mean 2.35 mmol/l. Out-patient E Mg concentration followed a near normal distribution, median 2.32 mmol/l, mean 2.30 mmol/l. There was a significant correlation between E Mg and S Mg for out-patients, R = 0.29 (p < 0.001). In-patients with infections and pressure sores had significantly raised E Mg concentrations but normal or low S Mg. High E Mg concentrations in illness are likely to be due to alterations in characteristics of the erythrocytes themselves rather than an indication of body magnesium excess. E Mg concentrations in illness should be interpreted with caution.

Aged↗

PubMed2003

[Evaluation of lesions of malignant lymphoma using histograms of regional SUV].

We designed new evaluation method using histogram of regional standardized uptake value (SUV) of every pixels of box shape volume of interest (VOI) on 18F-FDG PET. We evaluate lung and liver of normal volunteers and also the lesions of 4 cases of patients with non Hodgikin's malignant lymphoma using this method. SUV of pixels of pretreatment lesions shows log-normal distribution, whereas SUV of lung and liver show normal shape distribution. The next day of chemotherapy, 2 cases of them showed changes of distribution pattern from long-normal to normal with decrease of component of higher SUV values. No remarkable changes of distribution pattern were observed on other 2 cases, whereas decrease of regional mean values and max values of SUV were observed. And these findings were continued to 3 weeks later. These findings suggest that regional evaluation using histograms of SUV gives additional and predictive information for tumor therapies soon after the end of course.

Adult↗

PubMed2005

Dose-incidence relationships derived from superposition of distributions of individual susceptibility on mechanism-based dose responses for biological effects.

Dose-response relationships for incidence are based on quantal response measures. A defined effect is either present or not present in an individual. The dose-incidence curve therefore reflects differences in individual susceptibility (the "tolerance distribution"). At low dose, only the more susceptible individuals manifest the effect, while higher doses are required for more resistant individuals to be recruited into the affected fraction of the group. Here, we analyze how such dose-incidence relationships are related to mechanism-based dose-response relationships for biological effects described on a continuous scale. As an example, we use the quantal effect "cell division" triggered by occupancy of growth factor receptors (R) by a hormone or mitogenic ligand (L). The biologically effective dose (BED) is receptor occupancy (RL). The dose-BED relationship is described by the hyperbolic Michaelis-Menten function, RL/Rtot = L / (L + K(D)). For the conversion of the dose-BED relationship to a dose-cell division relationship, the dose-BED curve has to be combined with a function that describes the distribution of susceptibilities among the cells to be triggered into mitosis. We assumed a symmetrical sigmoid curve for this function, approximated by a truncated normal distribution. Because of the supralinear dose-BED relationship due to the asymptotic saturation of the Michaelis-Menten function, the composite curve that describes cell division (incidence) as a function of dose becomes skewed to the right. Logarithmic transformation of the dose axis reverses this skewing and provides a nearly perfect fit to a normal distribution in the central 95% incidence range. This observation may explain why dose-incidence relationships can often be described by a cumulative normal curve using the logarithm of the administered dose. The dominant role of the tolerance distribution for dose-incidence relationships is also illustrated with the example of a linear dose-BED relationship, using adducts to protein or DNA as the BED. Superimposed by a sigmoid distribution of individual susceptibilities, a sigmoid dose-incidence curve results. Linearity is no longer observed. We conclude that differences in susceptibility should always be considered for toxicological risk assessment and extrapolation to low dose.

Disease Susceptibility↗

PubMed1997

HLA-C heavy chains free of beta2-microglobulin: distribution in normal tissues and neoplastic lesions of non-lymphoid origin and interferon-gamma responsiveness.

Lacking monospecific antibodies to HLA-C, the expression and synthesis of these molecules have been difficult to evaluate. Using biochemical and flow cytometry approaches, the present report demonstrates that the reactivity of the murine monoclonal antibody L31 is restricted to naturally occurring HLA-C (HLA-Cw1 through -Cw8), HLA-B8 and HLA-B51 heavy chains not associated with beta2-microglobin (beta2m). This is due to two properties of HLA-C heavy chains: (a) they share the L31 epitope which distinguishes them from all the HLA-A and most HLA-B molecules; (b) they accumulate intracellularly, in a beta2m-free form, in much greater amounts than most L31-reacting HLA-B heavy chains. On the basis of this restricted reactivity, a representative panel of normal and neoplastic human tissues and cells derived from HLA-B8- B51- individuals was selected and employed to assess the tissue distribution, surface expression and IFN-gamma responsiveness of beta2m-free HLA-C heavy chains. At variance from antibody W6/32 to beta2m-associated heavy chains, L31 stains normal and neoplastic tissues with a ground-glass pattern and weakly binds to the surface of viable cells, even after treatment with interferon gamma (IFN-gamma). Thus, beta2m-free HLA-C heavy chains are, for the most part, located intracellularly. In spite of their distinct cellular localization, L31- and W6/32-reacting molecules have an overlapping tissue distribution, undergo concordant changes upon transformation and are upregulated in their synthesis by IFN-gamma to a similar extent. These observations demonstrate a coordinate regulation of HLA-C with HLA-A and -B molecules. In addition, they indicate that the assembly of HLA-C is impaired in most body districts and IFN-gamma is unable to completely reverse this impairment. The present results are consistent with a low surface expression of HLA-C and with a privileged role of these molecules in signaling class I loss to cytotoxic effectors in pathological conditions.

Adult↗

PubMedDate not supplied

A method for normalizing drug responses to enhance reliability of parametric statistical tests.

Experimental constraints often require that pharmacologists study the effects of treatments upon responses elicited with a single concentration of agonist. The choice of statistical analysis, nonparametric or parametric, will depend upon whether or not the responses are normally distributed. This study uses both Monte Carlo and theoretical approaches to examine the normality assumption as it applies to drug responses. Responses measured in systems where drug sensitivities follow a lognormal distribution are generally not normally distributed. A simple transformation of responses, however, can restore normality. Researchers may find it beneficial to transform response data prior to performing t tests, analysis of variance or other parametric statistics in order to preserve the power and confidence level of the test.

Dose-Response Relationship, Drug↗

PubMed2001

CXCR3 chemokine receptor distribution in normal and inflamed tissues: expression on activated lymphocytes, endothelial cells, and dendritic cells.

Using new human CXCR3 chemokine receptor-specific monoclonal antibodies, we studied human CXCR3 tissue distribution in lymphoid and nonlymphoid organs, as well as in inflammatory conditions, including rheumatoid arthritis, Hashimoto's thyroiditis, and dermal vasculitis. CXCR3 was expressed by certain dendritic cell subsets, specifically myeloid-derived CD11c positive cells, not only in those present in normal lymphoid organs, but also in germinal centers generated in inflammatory conditions. CXCR3 expression was also detected in some lymphocyte subsets such as intraepithelial lymphocytes of secondary lymphoid organs and infiltrating lymphocytes in inflammatory conditions. In addition, CXCR3 was constitutively expressed by endothelial cells (EC) of vessels of medium and large caliber but not in small vessels from different organs. Finally, enhanced CXCR3 expression was found in EC and in infiltrating lymphocytes with an activated phenotype in inflammatory diseases. The CXCR3 chemokine receptor may play a role in the regulation of leukocyte migration to inflammatory sites.

Animals↗

PubMed2001

Sampling optimization, at site scale, in contamination monitoring with moss, pine and oak.

With the aim of optimizing protocols for sampling moss, pine and oak for biomonitoring of atmospheric contamination and also for inclusion in an Environmental Specimen Bank, 50 sampling units of each species were collected from the study area for individual analysis. Levels of Ca, Cu, Fe, Hg, Ni, and Zn in the plants were determined and the distributions of the concentrations studied. In moss samples, the concentrations of Cu, Ni and Zn, considered to be trace pollutants in this species, showed highly variable long-normal distributions; in pine and oak samples only Ni concentrations were log-normally distributed. In addition to analytical error, the two main source of error found to be associated with making a collective sample were: (1) not carrying out measurements on individual sampling units; and (2) the number of sampling units collected and the corresponding sources of variation (microspatial, age and interindividual). We recommend that a minimum of 30 sampling units are collected when contamination is suspected.

Air Pollutants↗

PubMed2006

Cerebrovascular segmentation from TOF using stochastic models.

In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the dataset are classified as either blood vessels or background noise. The observed volume data is modeled by two stochastic processes. The low level process characterizes the intensity distribution of the data, while the high level process characterizes their statistical dependence among neighboring voxels. The low level process of the background signal is modeled by a finite mixture of one Rayleigh and two normal distributions, while the blood vessels are modeled by one normal distribution. The parameters of the low level process are estimated using the expectation maximization (EM) algorithm. Since the convergence of the EM is sensitive to the initial estimate of the model parameters, an automatic method for parameter initialization, based on histogram analysis, is provided. To improve the quality of segmentation achieved by the proposed low level model especially in the regions of significantly vascular signal loss, the high level process is modeled as a Markov random field (MRF). Since MRF is sensitive to edges and the intracranial vessels represent roughly 5% of the intracranial volume, 2D MRF will destroy most of the small and medium sized vessels. Therefore, to reduce this limitation, we employed 3D MRF, whose parameters are estimated using the maximum pseudo likelihood estimator (MPLE), which converges to the true likelihood under large lattice. Our proposed model exhibits a good fit to the clinical data and is extensively tested on different synthetic vessel phantoms and several 2D/3D TOF datasets acquired from two different MRI scanners. Experimental results showed that the proposed model provides good quality of segmentation and is capable of delineating vessels down to 3 voxel diameters.

Algorithms↗

PubMed1989

The multiplicity of troponin T isoforms. Distribution in normal rabbit muscles and effects of chronic stimulation.

Polyclonal antibodies were raised in guinea pigs against troponin-T (TnT) isoforms purified from fast- and slow-twitch rabbit muscles. With the use of these antibodies and immunoblots of one- and two-dimensional electrophoreses, the distribution of fast and slow TnT isoforms was investigated in normal and chronically stimulated hindlimb muscles of the rabbit. According to differences in their apparent molecular masses, six fast TnT isoforms (TnTcf, TnT1f, TnT2f, TnT3f, TnT4f, TnT5f) were distinguished in normal tibialis anterior and extensor digitorum longus muscles. These muscles also contained low amounts of TnT1s and TnT2s which were the predominant TnT isoforms in slow-twitch soleus muscle. Fast and slow TnT isoforms were found to exist in several charge variants, i.e. one for TnTcf, three different charge forms for TnT1f, seven for TnT2f, four for TnT3f, three for TnT4f, one for TnT5f, four for TnT1s, and three for TnT2s. Some charge variants were phosphorylated isoforms because treatment with alkaline phosphatase reduced the number of the 19 fast and 7 slow variants to 12 and 3, respectively. The stimulation-induced fast-to-slow transition caused progressive decreases in fast and increases in slow isoforms. The decrease and the disappearance of the major fast isoforms followed a sequence of TnT2f, TnTcf, TnT4f, TnT1f, and TnT3f. This decrease in fast isoforms fits well with the reduction of fast TnT mRNAs assessed by Northern blot analysis. Prolonged stimulation ultimately created a TnT isoform pattern similar to that found in normal slow-twitch muscle. Stimulation also induced changes in the tropomyosin subunit pattern with a decrease in the fast and an increase in the slow alpha-tropomyosin subunit without altering the alpha/beta-tropomyosin subunit ratio. Similar to slow-twitch soleus muscle, long-term stimulated muscles contained appreciable amounts of the fast alpha-tropomyosin subunit, but only traces of fast TnT isoforms. This combination indicated that the predominant slow TnT isoforms may be capable of interacting with fast tropomyosin in these muscles.

Animals↗

PubMed2005

Sequence variation in the tRNA genes of human mitochondrial DNA.

Recent analyses have shown that nonsynonymous variation in human mitochondrial DNA (mtDNA) contains nonneutral variants, suggesting the presence of mildly deleterious mutations. Many of the disease-causing mutations in mtDNA occur in the genes encoding the tRNAs. Nucleotide sequence variation in these genes has not been studied in human populations, nor have the structural consequences of nucleotide substitutions in tRNA molecules been examined. We therefore determined the nucleotide sequences of the 22 tRNA genes in the mtDNA of 477 Finns and, also, obtained 435 European sequences from the MitoKor database. No differences in population polymorphism indices were found between the two data sets. We assessed selective constraints against various tRNA domains by comparing allele frequencies between these domains and the synonymous and nonsynonymous sites, respectively. All tRNA domains except the variable loop were more conserved than synonymous sites, and T stem and D stem were more conserved than the respective loops. We also analyzed the energetic consequences of the 96 polymorphisms recovered in the two data sets or in the Mitomap database. The minimum free energy (DeltaG) was calculated using the free energy rules as implemented in mfold version 3.1. The DeltaG's were normally distributed among the 22 wild-type tRNA genes, whereas the 96 polymorphic tRNAs departed significantly from a normal distribution. The largest differences in DeltaG between the wild-type and the polymorphic tRNAs in the Finnish population tended to be in the polymorphisms that were present at low frequencies. Allele frequency distributions and minimum free energy calculations both suggested that some polymorphisms in tRNA genes are nonneutral.

Analysis of Variance↗

PubMed2001

The importance of the normality assumption in large public health data sets.

It is widely but incorrectly believed that the t-test and linear regression are valid only for Normally distributed outcomes. The t-test and linear regression compare the mean of an outcome variable for different subjects. While these are valid even in very small samples if the outcome variable is Normally distributed, their major usefulness comes from the fact that in large samples they are valid for any distribution. We demonstrate this validity by simulation in extremely non-Normal data. We discuss situations in which in other methods such as the Wilcoxon rank sum test and ordinal logistic regression (proportional odds model) have been recommended, and conclude that the t-test and linear regression often provide a convenient and practical alternative. The major limitation on the t-test and linear regression for inference about associations is not a distributional one, but whether detecting and estimating a difference in the mean of the outcome answers the scientific question at hand.

Data Collection↗

PubMed1990

[Spontaneous variability of ventricular arrhythmias in follow-up of anti-arrhythmia therapy].

The question of the reliability of ambulatory Holter monitoring for assessment of antiarrhythmic treatment has not been adequately resolved. Even though treatment efficacy had been individually assessed with Holter monitoring in the CAST study, during long-term treatment with class IC antiarrhythmic drugs, there were more deaths among patients receiving active drug than in those in the placebo group. Basic biostatistical considerations: Due to the spontaneous variability of frequency and complexity of ventricular arrhythmias, parametric models were developed with the aid of which normal ranges for spontaneous variability of singular ventricular premature complexes (VPC), couplets and salvos can be calculated. We designed a model which enables rapid visual analysis of the results: spontaneous variability = log (EE Day 2 + 0.01/EE Day 1 + 0.01) where EE is the number of ectopic events. For both days, the mean values per hour are applied. The use of parametric models prerequisites normal distribution of the data which can be achieved with logarithmic transformation. A constant is added to all mean values to preclude the mathematically-inadmissible form of log 0. The magnitude of the constant results in some degree of underestimation of the spontaneous variability. We chose the smallest constant, c = 0.01, consistent with a normal distribution of data. Figure 1 shows the normal range of the variability quotients for VPC in patients with cardiac disease and complex ventricular arrhythmias. The contiguous regions above and below the normal range designate active areas indicative of reduction or aggravation. Determinants of spontaneous variability: Frequency of arrhythmias: The number of VPC per unit of time exerts considerable influence on the spontaneous variability. The more infrequent an arrhythmia, the greater is the fluctuation to be anticipated. The differences in the variability of VPC, couplets and salvos are almost exclusively due to their differing frequencies since, in the presence of comparable frequency, they cannot be distinguished statistically from each other (Figure 2). Type and extent of underlying cardiac disease: In our patient population, there were no differences in spontaneous variability of arrhythmias between patients with coronary artery disease and those with dilated cardiomyopathy (Figure 3). Although in patients with coronary artery disease, as compared to those with noncoronary disease, a higher degree of spontaneous variability has been reported for VPC but, due to the inhomogeneity of the latter group, valid comparison is encumbered. The ejection fraction, the left ventricular filling pressure and the end-diastolic volume do not exert meaningful influence on the spontaneous variability (Figures 4 to 6).(ABSTRACT TRUNCATED AT 400 WORDS)

Anti-Arrhythmia Agents↗