scholarly journals The entropy of chaotic transitions of EEG phase growth in bipolar disorder with lithium carbonate

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rüştü Murat Demirer ◽  
Sermin Kesebir
Keyword(s):  
Schwarzian Derivative ◽  
Lithium Carbonate ◽  
Bipolar Spectrum ◽  
Phase Growth ◽  
Eeg Signals ◽  
New Approach ◽  
Frequency Transformations ◽  
Bipolar Patients ◽  
Number Of Segments ◽  
Depressive Patients

AbstractThe application of chaos measures the association of EEG signals which allows for differentiating pre and post-medicated epochs for bipolar patients. We propose a new approach on chaos necessary for proof of EEG metastability. Shannon entropies of concealed patterns of Schwarzian derivatives from absolute instantaneous frequency transformations of EEG signals after Hilbert transform are compared and found significantly statistically different between pre and post-medication periods when fitted to von Bertalanffy’s functions. Schwarzian dynamics measures was compared at first baseline and then at the end of the first hour of one dose 300 mg lithium carbonate intake for the same subject in depressive patients. With an application of Schwarzian derivative on the prediction of von Bertalanffy’s models, integration and segregation of phase growth orbits of neural oscillations can be understood as an influence of chaos on the mixing of frequencies. A phase growth constant parameter was performed to determine the bifurcation parameter of von Bertalanffy’s model at each given non-overlapped EEG segment. Schwarzian derivative was sometimes very close positive near the origin but stayed negative for most of the number of segments. Lithium carbonate changed the chaotic invariants of the EEG Schwarzian dynamics and removed sharp boundaries in the bipolar spectrum.

scholarly journals Entropy of Chaotic Transitions of EEG Phase Growth in Bipolar Disorder With Lithium Carbonate

2021 ◽  
Author(s):  
Rüştü Demirer ◽  
Sermin Kesebir
Keyword(s):  
Power Spectrum ◽  
Schwarzian Derivative ◽  
Entropy Change ◽  
Lithium Carbonate ◽  
Phase Growth ◽  
New Approach ◽  
Eeg Power Spectrum ◽  
Eeg Power ◽  
Bipolar Patients ◽  
Depressive Patients

Abstract The application of chaos theory measures in the association of EEG signals which allows for differentiating pre and postmedicated epochs for bipolar patients. We propose a new approach on positive Schwarzian chaos necessary for a proof of EEG power spectrum of metastability. Shannon entropies of those concealed patterns of positive Schwarzian derivatives from canonical angle transformations of EEG phases from Hilbert transform are compared and found significantly statistical different between pre and post medication periods. Entropy change of chaotic transition measures were compared at first baseline and then at the end of first hour of 300 mg lithium carbonate intake for the same subject in depressive patients. With an application of Schwarzian derivative on the prediction of the von Bertalanffy’s models, integration and segregation of phase growth orbits of neural oscillations can be understood as an influence of chaos on mixing of frequencies. A first order curve-fitting function was performed to determine bifurcation parameter of von Bertalanffy’s model at each given overlapped EEG segment. Schwarzian derivative was positive near the origin which revealed robust chaos. We founded that treatment with Lithium carbonate significantly altered Schwarzian spectrum of chaotic structure and entropy change in Schwarzian amplitudes even though it was not observed in classical EEG power spectrum. Lithium carbonate reduced the strong chaos spectrum of EEG Schwarzian dynamics and removed sharp boundaries in bipolar spectrum.

Self-esteem in Recovered Bipolar and Unipolar Out-patients

1993 ◽  
Vol 163 (6) ◽  
pp. 755-762 ◽  
Author(s):  
D. Pardoen ◽  
F. Bauwens ◽  
A. Tracy ◽  
F. Martin ◽  
J. Mendlewicz
Keyword(s):  
Social Adjustment ◽  
Clinical Characteristics ◽  
Self Esteem ◽  
Normal Control Group ◽  
Basic Component ◽  
Control Group ◽  
Bipolar Patients ◽  
The Relationship ◽  
Depressive Patients

The hypothesis of a low self-esteem in depressive patients was tested using the Rosenberg Self-Esteem Scale in 24 recovered unipolar and 27 recovered bipolar patients, compared with a normal control group of 26 subjects matched for age and sex. The hypothesis was confirmed only for unipolars; bipolar patients presented a self-esteem score not significantly different from normal scores. Self-esteem was not related to clinical characteristics of the affective disorder, suggesting that low self-esteem may be a basic component of a depression-prone personality. The investigation of the relationship between self-esteem and social adjustment confirmed the presence of social conformism in bipolar patients and rigidly set low self-esteem in unipolar patients. These results should stimulate the evaluation of different psychotherapeutic treatments in the long-term psychosocial management of affectively ill patients.

Thought overactivation as a marker of bipolar disorder

2016 ◽  
Vol 33 (S1) ◽  
pp. s222-s223 ◽  
Author(s):  
M. Ferrari ◽  
P. Ossola ◽  
V. Lucarini ◽  
V. Accardi ◽  
C. De Panfilis ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Mood Disorders ◽  
Subjective Experience ◽  
Small Sample Size ◽  
Mental States ◽  
Small Sample ◽  
Bipolar Spectrum ◽  
Global Functioning ◽  
Competing Interest ◽  
Bipolar Patients

IntroductionRecent studies have underlined the importance of considering the form of thoughts, beyond their content, in order to achieve a better phenomenological comprehension of mental states in mood disorders. The subjective experience of thought overactivation is an important feature of mood disorders that could help in identifying, among patients with a depressive episode, those who belong to the bipolar spectrum.ObjectivesPatients with a diagnosis of bipolar disorder (BD) were compared with matched healthy controls (HC) on a scale that evaluates thought overactivation.AimsValidate the Italian version of a scale for thought overactivation (i.e. STOQ) in a sample of bipolar patients.MethodsThirty euthymic BD and 30 HC completed the Subjective Thought Overactivation Questionnaire (STOQ), the Ruminative Responses Scale (RRS), the Beck Depression Inventory-II (BDI-II) and global functioning (VGF).ResultsThe 9-items version of the STOQ has been back translated and its internal consistency in this sample was satisfactory (alpha = .91). Both the brooding subscore of RRS (b-RRS) (r = .706; P < .001) and STOQ (r = .664; P < .001) correlate significantly with depressive symptoms whereas only the first correlate with VGF (r = –.801; P < .001). The two groups did not differed in the b-RRS (HC = 8.41 vs BD = 9.72; P = .21), whereas BD where significantly higher in the STOQ total score (HC = 6.62 vs. BD = 14.9; P = .007).ConclusionOur results, although limited by the small sample size, confirm the validity of the STOQ and suggest that this scale could grasp a feature characteristic of BD, independently from their tendency to ruminate. The latter seems to impact more on global functioning.Disclosure of interestThe authors have not supplied their declaration of competing interest.

A new approach to eliminating EOG artifacts from the sleep EEG signals for the automatic sleep stage classification

2016 ◽  
Vol 28 (10) ◽  
pp. 3095-3112 ◽  
Author(s):  
Mehmet Dursun ◽  
Seral Özşen ◽  
Cüneyt Yücelbaş ◽  
Şule Yücelbaş ◽  
Gülay Tezel ◽  
...  
Keyword(s):  
Sleep Stage ◽  
Sleep Eeg ◽  
Eeg Signals ◽  
New Approach ◽  
Stage Classification ◽  
Sleep Stage Classification

scholarly journals EEG Signals Analysis Using Multiscale Entropy for Depth of Anesthesia Monitoring during Surgery through Artificial Neural Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Quan Liu ◽  
Yi-Feng Chen ◽  
Shou-Zen Fan ◽  
Maysam F. Abbod ◽  
Jiann-Shing Shieh
Keyword(s):  
Time Scales ◽  
Multiscale Entropy ◽  
Expert Assessment ◽  
Data Series ◽  
Depth Of Anesthesia ◽  
Eeg Signals ◽  
New Approach ◽  
Before And After ◽  
Artificial Neural ◽  
Different Time Scales

In order to build a reliable index to monitor the depth of anesthesia (DOA), many algorithms have been proposed in recent years, one of which is sample entropy (SampEn), a commonly used and important tool to measure the regularity of data series. However, SampEn only estimates the complexity of signals on one time scale. In this study, a new approach is introduced using multiscale entropy (MSE) considering the structure information over different time scales. The entropy values over different time scales calculated through MSE are applied as the input data to train an artificial neural network (ANN) model using bispectral index (BIS) or expert assessment of conscious level (EACL) as the target. To test the performance of the new index’s sensitivity to artifacts, we compared the results before and after filtration by multivariate empirical mode decomposition (MEMD). The new approach via ANN is utilized in real EEG signals collected from 26 patients before and after filtering by MEMD, respectively; the results show that is a higher correlation between index from the proposed approach and the gold standard compared with SampEn. Moreover, the proposed approach is more structurally robust to noise and artifacts which indicates that it can be used for monitoring the DOA more accurately.

Effect of Assay Methodology on the Prediction of Lithiumc Maintenance Dosage

DICP ◽  
1989 ◽  
Vol 23 (5) ◽  
pp. 372-375 ◽  
Author(s):  
Shyam D. Karki ◽  
Stanley W. Carson ◽  
J.M.C. Holden
Keyword(s):  
Spectrophotometric Method ◽  
Analytical Method ◽  
Slow Release ◽  
Test Dose ◽  
Lithium Carbonate ◽  
Test Methods ◽  
Decimal Place ◽  
Maintenance Dosage ◽  
Clinically Significant ◽  
Bipolar Patients

Test dose methods have been used to predict the maintenance dosage of lithium carbonate tablets in bipolar patients. These methods require a lithium analytical method that is accurate to the second decimal place. Successful use of these test methods has employed the atomic absorption spectrophotometric method, yet many hospitals use a flame spectrophotometric method. We evaluated a two-point method to predict lithium maintenance dosages of slow-release lithium carbonate tablets in 20 bipolar patients using both assay methodologies. No clinically significant differences were found between the two sets of predictions, suggesting that either assay methodology has requisite sensitivity and accuracy for use in test dose predictions of lithium maintenance dosages.

scholarly journals EEG data processing in ADHD diagnosis and neurofeedback

2020 ◽  
Vol 40 (3) ◽  
pp. 116-123
Author(s):  
Zoran Šverko ◽  
Ivan Markovinović ◽  
Miroslav Vrankić ◽  
Saša Vlahinić
Keyword(s):  
Data Processing ◽  
Mean Value ◽  
Adhd Group ◽  
Eeg Signal ◽  
Statistical Features ◽  
Eeg Signals ◽  
New Approach ◽  
Mean Values ◽  
Adhd Diagnosis ◽  
Eeg Data

In this paper, EEG data processing was conducted in order to define the parameters for neurofeedback. A new survey was conducted based on a brief review of previous research. Two groups of participants were chosen: ADHD (3) and nonADHD (14). The main part of this study includes EEG signal data pre-processing and processing. We have outlined statistical features of observed EEG signals such as mean value, grand-mean value and their ratios. It can be concluded that an increase in grand-mean values of power theta-low beta ratio on Cz electrode gives confirmation of previous research. The value of alpha-delta power ratio higher than 1 on C3, Cz, P3, Pz, P4 in ADHD group is proposed as a new approach to classification. Based on these conclusions we will design a neurofeedback protocol as a continuation of this work.

The Effect of Lithium Carbonate on the Electroencephalogram of Patients with Affective Disorders

1969 ◽  
Vol 115 (527) ◽  
pp. 1185-1188 ◽  
Author(s):  
S. R. Platman ◽  
R. R. Fieve
Keyword(s):  
Affective Disorders ◽  
Alpha Rhythm ◽  
Lithium Carbonate ◽  
Harmonic Mean ◽  
Common Pattern ◽  
Manic Depressive ◽  
Two Phases ◽  
Depressive Patients ◽  
Three Phases

This paper examines the degree of electroencephalogram abnormality among the three phases of manic-depressive disease and the changes brought about by lithium carbonate. The earlier investigators (Berger, 1931; Lemere, 1936) reported no abnormalities in the EEGs of manic-depressive patients. Later workers (Davis, 1941; Hurst et al., 1954; Hes, 1960) found prominent changes between the two phases. However, Harding et al. (1966) noted no common pattern in their three cases when analysed for mean abundance, harmonic mean and variability of alpha rhythm.

Postpartum Mania in Bipolar Manic-Depressive Patients Withdrawn from Lithium Carbonate

1979 ◽  
Vol 167 (9) ◽  
pp. 572-574 ◽  
Author(s):  
STEVEN D. TARGUM ◽  
YOLANDE B. DAVENPORT ◽  
MARIAN J. WEBSTER
Keyword(s):  
Lithium Carbonate ◽  
Manic Depressive ◽  
Depressive Patients
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