C Papageorgiou

National Technical University of Athens, Athínai, Attica, Greece

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Publications (86)198.76 Total impact

  • Article: PP.32.01
    C. Papageorgiou · E. Koroboki · E. Manios · F. Michas · N. Zakopoulos ·
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    ABSTRACT: Objective: An increasing body of evidence indicates the implication of psychological variables in the development of hypertension. However the exact nature of this implication, is poorly understood. Since the SCL-90 is a 90-item self-report symptom inventory designed primarily to reflect the psychological symptom patterns of medical patients, the present study was designed to screen psychiatric symptoms in newly diagnosed hypertension in primary care patients. Design and method: The study population consisted of 101 newly diagnosed hypertensive patients and 53 normontesive subjects matched for age, body mass index (BMI) and gender. The participants completed the Symptom Checklist 90 (SCL-90), which provides information on the following psychological symptomatology: somatization, obsessive-compulsive, interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, paranoid ideation, psychoticism. All subjects underwent 24-hour ambulatory blood pressure monitoring (ABPM) (Spacelabs 90207) in order to establish the diagnosis of hypertension. Results: The analysis revealed that hypertensive individuals comparing to normotensive ones demonstrated higher obsessive-compulsive symptomatoology (p < 0.022), interpersonal sensitivity (p < 0.016), hostility (p < 0.001), paranoid symptomatology (p < 0.040) and psychoticism (p < 0.005). Conclusions: The present findings indicate an involvement of psychiatric symptomatology in the development of hypertension, as it is reflected by the self-rated inventory. Prospective studies are needed in order to clarify the role of this phenomenon in the pathophysiology of newly diagnosed hypertension. Copyright
    Journal of Hypertension 06/2015; 33:e420. DOI:10.1097/01.hjh.0000468695.81837.0a · 4.72 Impact Factor
  • Article: PP.18.15
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    ABSTRACT: Objective: Subjects with white-coat hypertension (WCH) present target organ damage development and cardiovascular risk similar to normotensives. However, recent studies have demonstrated that WCH may not be an entirely benign condition. The heterogeneity of WCH, regarding the type of abnormal office blood pressure (BP) (systolic, diastolic and systolic/diastolic), may be associated with increased risk of target organ damage involvement and cardiovascular risk. Aim of our study was to evaluate the associations of isolated systolic, diastolic and systolic/diastolic WCH with common carotid artery intima-media thickness (CCA-IMT). Design and method: A total of 1399 consecutive never treated individuals referred for evaluation at the Hypertension Unit of our department, underwent 24-h ambulatory BP monitoring and CCA-IMT ultrasonographic measurements. Subjects with elevated office BP (systolic BP >= 140mmHg and/or diastolic BP >= 90mmHg) and normal ambulatory BP values (24-h systolic BP <130mmHg and 24-h diastolic BP<80mmHg) were defined as WCH. Subjects with WCH were divided into three groups according to the type of the abnormal office BP: isolated systolic WCH, isolated diastolic WCH and systolic/diastolic WCH. Statistical analysis was performed by means of ANOVA and ANCOVA. Results: Our study population consisted of normotensives (19%), isolated systolic WCHs (9%), isolated diastolic WCHs (5%), systolic/diastolic WCHs (18%) and sustained hypertensives (49%). Subjects with isolated systolic WCH (0.805 mm) presented significantly higher CCA-IMT values than those with isolated diastolic (0.678 mm) and systolic/diastolic WCH (0.708 mm) and normotension (0.710 mm). CCA-IMT did not differ significantly between subjects with isolated WCH and sustained hypertension (0.759 mm). There were not statistically significant differences among subjects with normotension, isolated diastolic WCH and systolic/diastolic WCH in terms of CCA-IMT values. Conclusions: Isolated systolic WCH is associated with increased CCA-IMT values compared to isolated diastolic WCH, systolic/diastolic WCH and normotension. In contrast, CCA-IMT does not differ between subjects with isolated systolic WCH and sustained hypertension. The identification of the type of WCH may have valuable implication on the risk stratification in subjects with WCH. Copyright
    Journal of Hypertension 06/2015; 33:e294-e295. DOI:10.1097/01.hjh.0000468269.77062.eb · 4.72 Impact Factor
  • Article: PP.18.13

    Journal of Hypertension 06/2015; 33:e294. DOI:10.1097/01.hjh.0000468267.99933.f5 · 4.72 Impact Factor
  • Article: PP.18.14
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    ABSTRACT: Objective: Recent studies have demonstrated that nocturnal hypertension is better associated with target organ damage development and cardiovascular morbidity and mortality than non-dipping pattern in hypertensive patients. However, the role of nocturnal hypertension and non-dipping pattern, in terms of target organ damage involvement, in masked hypertensives (MH) is unclear. Aim of our study was to evaluate the impact of nocturnal hypertension and non-dipping on left ventricular mass index (LVMI) in untreated MH patients. Design and method: A total of 926 consecutive never treated subjects referred for evaluation at the Hypertension Unit of our department, underwent 24-h ambulatory (BP) monitoring and LVMI echocardiographic measurements. Patients with normal office BP (<140/90mmHg) and elevated daytime BP values (systolic BP >= 135mmHg and/or diastolic BP >= 85mmHg) were defined as masked hypertensives. Masked hypertension was diagnosed in 93 subjects. The degree of nocturnal systolic BP (SBP) dipping (%) was calculated as 100[1 - nighttime SBP/daytime SBP]. Dippers were defined as subjects with nocturnal SBP fall >10% and non-dippers as patients with nocturnal SBP fall <10%. Nocturnal hypertension was defined as nighttime SBP >= 120mmHg or DBP >= 70mmHg. Statistical analysis was performed by means of independent-samples T test and ANCOVA. Results: Our study population consisted of 93 MH patients. The percentage of patients with nocturnal hypertension was 70%, whereas the percentage of non-dippers was 43%. LVMI did not differ significantly between non-dippers (112 g/m2) and dippers (116 g/m2). In contrast, patients with nocturnal hypertension presented significantly (p = 0.028) higher LVMI (118 g/m2) than patients with nocturnal normotension (106 g/m2), even after adjustment for demographic characteristics and baseline risk factors. Conclusions: Nocturnal hypertension but not non-dipping pattern is associated with increased LVMI in MH patients. Copyright
    Journal of Hypertension 06/2015; 33:e294. DOI:10.1097/01.hjh.0000468268.77062.a2 · 4.72 Impact Factor
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    E Ventouras · C Papageorgiou · N Uzunoglu · S Koulouridis · A Rabavilas · C Stefanis ·
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    ABSTRACT: In order to solve the inverse electroencephalographic (EEG) problem, the unknown intracranial current sources must be calculated. The solution provides a tomographical representation of the brain activity. In the present work the quality of the solutions given by the optimized Tikhonov Regularization Technique (TRT) is assessed, in comparison to the Algebraic Reconstruction Techniques (ART). Results show that ART algorithms specifically designed to compensate for noisy data perform similarly with TRT, but require the prior knowledge of the characteristic of the noise affecting the data. This is not a prerequisite for the TRT method. Therefore, when TRT optimization criteria are successful, this method may be used in real EEG data inversions providing tomographic solutions in a wider context than ART.
    Biotechnology & Biotechnological Equipment 04/2014; 14(1). DOI:10.1080/13102818.2000.10819071 · 0.30 Impact Factor

  • European Psychiatry 12/2011; 26:594-594. DOI:10.1016/S0924-9338(11)72301-X · 3.44 Impact Factor
  • F Kapsali · A D Rabavilas · A Michopoulou · G N Papadimitriou · C Papageorgiou ·
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    ABSTRACT: This retrospective study examined the demographic, clinical and pharmacological factors associated with aggressive behaviour after abrupt discontinuation of medication in schizophrenic patients. The study reports on a survey of 402 schizophrenic patients, who had abruptly discontinued their medication and had been involuntarily hospitalized to Psychiatric Hospital of Attika. The survey utilized the Discontinuation-Emergent Signs and Symptoms Checklist (DESS) to assess the signs and symptoms that patients exhibited (Rosenbaum et al., Biol Psychiatry 1998;44:77), as well the Aggression Scale (Delgado-Escueta et al., New England J Med 1981;305:711) to estimate the aggressive behaviour. Demographic and clinical variables as well as variables related to pharmacological treatment have been also investigated. Analyses revealed that the presence of aggressive behaviour after abrupt drug discontinuation was associated positively with previous history of aggression, male gender , abrupt discontinuation of anticholinergics, delusions, nervousness or anxiety, elevated mood, irritability and negatively with negative symptoms. These predictors can correctly classify 76.3% of patients with aggressive behaviour and 64.0% of patients without aggressive behaviour. These findings suggest that abrupt discontinuation of medication in schizophrenic patients may lead to aggressive behaviour, being connected at least in the acute phase with particular demographic, clinical and pharmacological parameters.
    International Journal of Psychiatry in Clinical Practice 11/2011; 15(4):296-302. DOI:10.3109/13651501.2011.589517 · 1.39 Impact Factor

  • Journal of Hypertension 06/2010; 28. DOI:10.1097/01.hjh.0000379220.86185.79 · 4.72 Impact Factor
  • E Koroboki · E Manios · C Papageorgiou · F Michas · E Alexaki · G Papadimitriou · K Vemmos · N Zakopoulos ·

    Journal of Hypertension 06/2010; 28. DOI:10.1097/01.hjh.0000379215.63314.f9 · 4.72 Impact Factor
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    ABSTRACT: Due to their non-stationarity, ERP signals are difficult to study. The concept of cointegration might overcome this problem and allow for the study of the co-variability between whole ERP signals. In this context cointegration factor is defined as the ability of an ERP signal to co-vary with other ERP signals. The aim of the present study was to investigate whether the cointegra- tion factor is dependent on different EMF condi- tions and gender, as well as the locations of the electrodes on the scalp. The findings revealed that women have a significantly higher cointe- gration factor than men, while all subjects have increased cointegration factors in the presence of EMF. The cointegration factor is location de- pendent, creating a distinct cluster of high coin- tegration capacity at the central and lateral electrodes of the scalp, in contrast to clusters of low cointegration capacity at the anterior and posterior electrodes There seem to be distinct similarities of the present findings with those from standard methodologies of the ERPs. In conclusion cointegration is a promising tool towards the study of functional interactions bet- ween different brain locations.
  • Source
    G.A. Giannakakis · N.N. Tsiaparas · C. Papageorgiou · K.S. Nikita ·
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    ABSTRACT: In this paper, subband spectral entropy (SSE) and its relative form was used for the analysis of rest electroencephalogram (EEG) and event related potentials (ERP). The recorded signals were taken from control children and children with dyslexia. Adaptive-optimal-kernel (AOK) time-frequency representation was used to produce high resolution spectrogram. Then, SSE and relative subband spectral entropy (RSSE) were calculated. The entropic patterns of both controls and dyslexics were investigated showing differences in specific electrode recordings.
    Digital Signal Processing, 2009 16th International Conference on; 08/2009
  • A. Spyropoulou · C. Markopoulos · I. Zervas · G. Christodoulou · C. Papageorgiou ·

    Maturitas 05/2009; 63. DOI:10.1016/S0378-5122(09)70200-2 · 2.94 Impact Factor
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    G A Giannakakis · M Vavatsioula · C Papageorgiou · K S Nikita ·
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    ABSTRACT: The main purpose of this paper is to study energy differentiations of electroencephalogram (EEG) and event related potentials (ERP) of normal subjects and subjects with dyslexia. As ERP is considered to be nonstationary signal, traditional spectral analysis is not recommended. A most appropriate approach is time-frequency representation (TFR) which reveals temporal evolution of frequency components. In this study a non-orthogonal, iterative method for adaptive time-frequency approximation of signals called matching pursuit is used. This method decomposes the signal piece by piece using a dictionary of basis functions. At each step the best fitting analyzing function is adapted to an intrinsic structure of the signal, thus providing flexible signal representation. The major advantages of the matching pursuit are the good localization of transients, the robust universal estimate of the time-frequency energy density which is resistant to the existence of noise and the fact that the dictionary set of waveforms is not limited to a single basis. Time frequency statistics reveal statistical differences on energy distribution of specific time intervals and frequency components over time-frequency plane. Possible non-normal distributions of the energy values are taken into account and a normalization transform is used in order to be able to use robust parametric tests. According to this analysis, dyslexics appear to have statistically reduced energy compared to controls for frequency regions 5-20Hz and for time around the ERP component N100. Introduction In the present paper, the matching pursuit algorithm, which was first proposed by Mallat and Zhang [1] is applied in order to estimate the energy of EEG signals in time-frequency plane. The use of matching pursuit algorithm leads to a decomposition of each EEG signal into a linear expansion of Gabor atoms. The time-frequency estimation of EEG signal energy is the result of pseudo Wigner-Ville distribution of Hilbert transform of these Gabor atoms. In previous works have been used some other methods in estimation of EEG signal energy in time-frequency plane like spectrogram [2], scalogram [3], bandpass filtering in overlapping bands [4].The approximation of a signal using nonorthogonal functions is a "nonpolynomial" problem (computational complexity grows exponentially with the dimension of signal). The matching pursuit algorithm is a sub-optimal solution but as the heuristic give relatively small error this can't be considered as drawback. The major advantages of matching pursuit in contrary to the other time-frequency methods is that provides an optimal non-orthogonal selection of basis atoms and full parametrization of these atoms. The above features of matching pursuit is very important in time-frequency analysis of non-stationary signal like EEG/ERP, whose temporal changes in energy are significant as they are associated with functional brain activation. No other methods possess these properties. For example, the Fourier analysis which used in spectrogram localization in time and frequency depends on epoch length (the STFT spectrogram divides the analyzed signal into overlapping epochs). Continuous wavelet transform or Cohen's class transforms do not provide parametric description. Moreover Cohen's class transforms are biased by cross-terms. Discrete wavelet transforms, which used in scalogram give parametric descriptions, but their time-frequency resolution is severely limited as it has high temporal resolution and low frequency resolution at high frequencies, and low temporal resolution and high frequency resolution at low frequencies [5]. According to earlier works the matching pursuit algorithm provides a unified parametrization of EEG, applicable in a variety of several standard research and clinical problems, encountered in analysis of evoked potentials [6], automatic detection and analysis of sleep spindles in overnight EEG recordings [7], ERD/ERS [6][8], pharmaco-EEG [9] and epileptic seizures [10][11].
    6th European Symposium on Biomedical Engineering; 06/2008
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    ABSTRACT: We evaluated cross-sectionally the associations of depression and anxiety with age, sex, duration of illness, educational level, degree of disability and treatment with interferon-beta in outpatients with relapsing-remitting multiple sclerosis (RRMS) during a clinically stable phase of their illness. The depression status scored on the Beck Depression Inventory (BDI), the symptoms of anxiety assessed using the State Trait Anxiety Inventory (STAI) and the level of disability measured by the Expanded Disability Status Scale (EDSS) were quantified in 86 consecutive RRMS patients. Linear regression analyses indicated that EDSS was independently (P < 0.001) associated with BDI and STAI and accounted for 15.7% and 18.5% of the variance in BDI and STAI respectively. The former association retained its statistical significance in multiple regression models adjusting for demographic and clinical characteristics. Disability status is an independent but moderate determinant of depression and anxiety in MS patients.
    Acta Neurologica Scandinavica 01/2007; 115(1):67-72. DOI:10.1111/j.1600-0404.2006.00736.x · 2.40 Impact Factor
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    ABSTRACT: Twenty-two patients with major depressive disorder, 11 of them with melancholic features, and 11 controls were investigated with CANTAB subtests focusing in visual memory/learning and executive functions. Melancholic patients performed worse than the other groups in all tasks and manifested a significant impairment in set shifting. The results are discussed in association with prefrontal dysfunction.
    European Psychiatry 10/2006; 21(6):361-3. DOI:10.1016/j.eurpsy.2006.03.008 · 3.44 Impact Factor
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    Annals of General Psychiatry 01/2006; 5(Suppl 1). DOI:10.1186/1744-859X-5-S1-S135 · 1.40 Impact Factor
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    ABSTRACT: In the present paper, a new methodological approach, for the classification of first episode schizophrenic patients (FES) against normal controls, is proposed. The first step of the methodology applied is the feature extraction, which is based on the combination of the multivariate autoregressive model with the simulated annealing technique, in order to extract optimum features, in terms of classification rate. The classification, as the second step of the methodology, is implemented by means of an artificial neural network (ANN) trained with the back-propagation algorithm under "leave-one-out cross-validation". The ANN is a multi-layer perceptron, the architecture of which, is selected after a detailed search. The proposed methodology has been applied for the classification of FES patients and normal controls using as input signals the Intracranial current sources obtained by the inversion of ERPs using an algebraic reconstruction technique. Results by implementing the proposed methodology provide classification rates of up to 93.1%
    Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on; 04/2005
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    ABSTRACT: In the present study an attempt was made to focus in the differences between Obsessive-Compulsive Disorder (OCD) patients and healthy controls, as reflected by the P600 component of event-related potential (ERP) signals, to locate brain areas that may be related to Working Memory (WM) deficits. Neuropsychological research has yielded contradicting results regarding WM in OCD. Eighteen patients with OCD symptomatology and 20 normal controls (age and sex matched) were subjected to a computerized version of the digit span Wechsler test. EEG activity was recorded from 15 scalp electrodes (leads). A dedicated computer software was developed to read the ERP signals and to calculate features related to the ERP P600 component (500-800 ms). Nineteen features were generated, from each ERP-signal and each lead, and were employed in the design of the Probabilistic Neural Network (PNN) classifier. Highest single-lead precision (86.8%) was found at the Fp2 and C6 leads. When the output from all single-lead PNN classifiers fed a Majority Vote Engine (MVE), the system classified correctly all subjects, providing a powerful classification scheme. Findings indicated that OCD patients differed from normal controls at the prefrontal and temporo-central brain regions.
    Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 02/2005; 4:3994-7. DOI:10.1109/IEMBS.2005.1615337
  • C Papageorgiou · L Lykouras · K Kontoangelos · GN Christodoulou ·

    Journal of Psychosomatic Research 06/2004; 56(6):658-658. DOI:10.1016/j.jpsychores.2004.04.314 · 2.74 Impact Factor

  • Journal of Psychosomatic Research 06/2004; 56(6):658-658. DOI:10.1016/j.jpsychores.2004.04.315 · 2.74 Impact Factor

Publication Stats

698 Citations
198.76 Total Impact Points


  • 2002-2014
    • National Technical University of Athens
      • School of Electrical and Computer Engineering
      Athínai, Attica, Greece
  • 1990-2010
    • Eginition Hospital Athens
      Athínai, Attica, Greece
  • 1994
    • National Center for Scientific Research Demokritos
      • Insititute of Informatics and Telecommunications
      Athínai, Attica, Greece
    • Harokopion University of Athens
      Athínai, Attica, Greece

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