Time-Series Analysis of Psychoanalytic Treatment Processes: Sampling Problems and First Findings in a Single Case

Author(s):  
Hans-Joachim Grünzig
Cephalalgia ◽  
1991 ◽  
Vol 11 (1) ◽  
pp. 37-45 ◽  
Author(s):  
WD Gerber ◽  
HC Diener ◽  
E Scholz ◽  
U Niederberger

The aim of the present study was to ascertain, on the basis of single case statistics and time-series analysis, responder and non-responder rates for metoprolol, propranolol and nifedipine in migraine prophylaxis. In addition, an attempt was made to identify the dose relationship for the various drugs on headache parameters. In a double-blind dose-finding study, 58 patients were treated in five consecutive dosage steps each lasting 1-3 months. All patients kept a headache diary before, during and after treatment. Serum drug levels were also determined. The data were assessed by time-series analysis, as well as by multiple regression and analysis of variance. A significant improvement was noted in 54.4% of patients with migraine during treatment with metoprolol. The study did not confirm the high success rates in migraine prophylaxis of nifedipine and propranolol quoted in the literature. Administration of nifedipine led to an increase in migraine attacks in 71% of the patients. Nifedipine was of no value in the prophylaxis of migraine. Only 32% of patients showed a reduction in frequency of migraine attacks during administration of propranolol. The analysis of variance failed to show any significant difference between the responder rates for metoprolol and propranolol. Higher doses of propranolol and metoprolol were more effective. Multiple regression analysis explained a considerable part of variance for propranolol (but not for metoprolol) as a result of reduced intake of ergotamine preparations and analgesics. It can therefore be concluded that part of the prophylactic effect of propranolol is attributable to a reduction in the use of migraine medication.


2018 ◽  
Vol 3 (82) ◽  
Author(s):  
Eurelija Venskaitytė ◽  
Jonas Poderys ◽  
Tadas Česnaitis

Research  background  and  hypothesis.  Traditional  time  series  analysis  techniques,  which  are  also  used  for the analysis of cardiovascular signals, do not reveal the relationship between the  changes in the indices recorded associated with the multiscale and chaotic structure of the tested object, which allows establishing short-and long-term structural and functional changes.Research aim was to reveal the dynamical peculiarities of interactions of cardiovascular system indices while evaluating the functional state of track-and-field athletes and Greco-Roman wrestlers.Research methods. Twenty two subjects participated in the study, their average age of 23.5 ± 1.7 years. During the study standard 12 lead electrocardiograms (ECG) were recorded. The following ECG parameters were used in the study: duration of RR interval taken from the II standard lead, duration of QRS complex, duration of JT interval and amplitude of ST segment taken from the V standard lead.Research  results.  Significant  differences  were  found  between  inter-parametric  connections  of  ST  segment amplitude and JT interval duration at the pre and post-training testing. Observed changes at different hierarchical levels of the body systems revealed inadequate cardiac metabolic processes, leading to changes in the metabolic rate of the myocardium and reflected in the dynamics of all investigated interactions.Discussion and conclusions. It has been found that peculiarities of the interactions of ECG indices interactions show the exposure of the  functional changes in the body at the onset of the workload. The alterations of the functional state of the body and the signs of fatigue, after athletes performed two high intensity training sessions per day, can be assessed using the approach of the evaluation of interactions between functional variables. Therefore the evaluation of the interactions of physiological signals by using time series analysis methods is suitable for the observation of these processes and the functional state of the body.Keywords: electrocardiogram, time series, functional state.


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