Lutz Leistritz

Summary

Affiliation: Friedrich Schiller University
Country: Germany

Publications

  1. ncbi request reprint Coupled oscillators for modeling and analysis of EEG/MEG oscillations
    Lutz Leistritz
    Institute of Medical Statistics, Computer Sciences and Documentation, Medical Faculty, Friedrich Schiller University Jena, Jena, Germany
    Biomed Tech (Berl) 52:83-9. 2007
  2. ncbi request reprint Improving generalization capabilities of dynamic neural networks
    Miroslaw Galicki
    Institute of Medical Statistics, Computer Sciences and Documentation, Friedrich Schiller University, Jena, Germany
    Neural Comput 16:1253-82. 2004
  3. ncbi request reprint Application of generalized dynamic neural networks to biomedical data
    Lutz Leistritz
    Institute of Medical Statistics, Computer Sciences, and Documentation, Friedrich Schiller University Jena, Jena 07740, Germany
    IEEE Trans Biomed Eng 53:2289-99. 2006
  4. doi request reprint Time-variant partial directed coherence for analysing connectivity: a methodological study
    L Leistritz
    Institute of Medical Statistics, Computer Sciences and Documentation, Bernstein Group for Computational Neuroscience, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany
    Philos Trans A Math Phys Eng Sci 371:20110616. 2013
  5. pmc Network redundancy analysis of effective brain networks: a comparison of healthy controls and patients with major depression
    Lutz Leistritz
    Institute of Medical Statistics, Computer Sciences and Documentation, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany
    PLoS ONE 8:e60956. 2013
  6. doi request reprint Connectivity analysis of somatosensory evoked potentials in patients with major depression. Analysis of connectivity
    L Leistritz
    Institute of Medical Statistics, Computer Sciences and Documentation, Friedrich Schiller University of Jena, Bachstr 18, 07743 Jena, Germany
    Methods Inf Med 49:484-91. 2010
  7. doi request reprint A new Kalman filter approach for the estimation of high-dimensional time-variant multivariate AR models and its application in analysis of laser-evoked brain potentials
    Thomas Milde
    Institute of Medical Statistics, Computer Sciences and Documentation, Friedrich Schiller University Jena, Jena, Germany
    Neuroimage 50:960-9. 2010
  8. doi request reprint Modelling of cortical and thalamic 600 Hz activity by means of oscillatory networks
    Thomas Milde
    Institute of Medical Statistics, Computer Sciences and Documentation, Friedrich Schiller University Jena, Bachstr 18, D 07740 Jena, Germany
    J Physiol Paris 103:342-7. 2009
  9. pmc Extracting labeled topological patterns from samples of networks
    Christoph Schmidt
    Bernstein Group for Computational Neuroscience Jena, Institute of Medical Statistics, Computer Sciences and Documentation, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany
    PLoS ONE 8:e70497. 2013
  10. doi request reprint Analysis and modeling of time-variant amplitude-frequency couplings of and between oscillations of EEG bursts
    Herbert Witte
    Institute of Medical Statistics, Computer Sciences and Documentation, Medical Faculty of the Friedrich Schiller University Jena, 07740, Jena, Germany
    Biol Cybern 99:139-57. 2008

Detail Information

Publications21

  1. ncbi request reprint Coupled oscillators for modeling and analysis of EEG/MEG oscillations
    Lutz Leistritz
    Institute of Medical Statistics, Computer Sciences and Documentation, Medical Faculty, Friedrich Schiller University Jena, Jena, Germany
    Biomed Tech (Berl) 52:83-9. 2007
    ....
  2. ncbi request reprint Improving generalization capabilities of dynamic neural networks
    Miroslaw Galicki
    Institute of Medical Statistics, Computer Sciences and Documentation, Friedrich Schiller University, Jena, Germany
    Neural Comput 16:1253-82. 2004
    ..Under reasonable assumptions, its convergence is discussed. Numerical examples are given that demonstrate an essential improvement of generalization capabilities after the learning process of a dynamic network...
  3. ncbi request reprint Application of generalized dynamic neural networks to biomedical data
    Lutz Leistritz
    Institute of Medical Statistics, Computer Sciences, and Documentation, Friedrich Schiller University Jena, Jena 07740, Germany
    IEEE Trans Biomed Eng 53:2289-99. 2006
    ..The effectiveness of the methods is demonstrated by three different real-world examples taken from the fields of anesthesiology, orthopedics, and radiology...
  4. doi request reprint Time-variant partial directed coherence for analysing connectivity: a methodological study
    L Leistritz
    Institute of Medical Statistics, Computer Sciences and Documentation, Bernstein Group for Computational Neuroscience, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany
    Philos Trans A Math Phys Eng Sci 371:20110616. 2013
    ..For artefact rejection, independent component analysis was used. The study provides rules to correctly apply particular methods that will aid users to achieve more reliable interpretations of the results. ..
  5. pmc Network redundancy analysis of effective brain networks: a comparison of healthy controls and patients with major depression
    Lutz Leistritz
    Institute of Medical Statistics, Computer Sciences and Documentation, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany
    PLoS ONE 8:e60956. 2013
    ..This might then lead to a reduction in network redundancy during stimulus processing...
  6. doi request reprint Connectivity analysis of somatosensory evoked potentials in patients with major depression. Analysis of connectivity
    L Leistritz
    Institute of Medical Statistics, Computer Sciences and Documentation, Friedrich Schiller University of Jena, Bachstr 18, 07743 Jena, Germany
    Methods Inf Med 49:484-91. 2010
    ....
  7. doi request reprint A new Kalman filter approach for the estimation of high-dimensional time-variant multivariate AR models and its application in analysis of laser-evoked brain potentials
    Thomas Milde
    Institute of Medical Statistics, Computer Sciences and Documentation, Friedrich Schiller University Jena, Jena, Germany
    Neuroimage 50:960-9. 2010
    ..It can be demonstrated that the application of high-dimensional tvMVAR modelling will contribute to a better understanding of the relationship between structure and function...
  8. doi request reprint Modelling of cortical and thalamic 600 Hz activity by means of oscillatory networks
    Thomas Milde
    Institute of Medical Statistics, Computer Sciences and Documentation, Friedrich Schiller University Jena, Bachstr 18, D 07740 Jena, Germany
    J Physiol Paris 103:342-7. 2009
    ..Our finding in humans is supported by earlier animal studies. We conclude that this type of rhythmic brain activity can be modelled by oscillatory networks in order to disentangle feed forward and feedback information transfer...
  9. pmc Extracting labeled topological patterns from samples of networks
    Christoph Schmidt
    Bernstein Group for Computational Neuroscience Jena, Institute of Medical Statistics, Computer Sciences and Documentation, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany
    PLoS ONE 8:e70497. 2013
    ..The accomplished reduction of topological information enables a cautious functional interpretation of the altered neuronal processing of pain in both groups. ..
  10. doi request reprint Analysis and modeling of time-variant amplitude-frequency couplings of and between oscillations of EEG bursts
    Herbert Witte
    Institute of Medical Statistics, Computer Sciences and Documentation, Medical Faculty of the Friedrich Schiller University Jena, 07740, Jena, Germany
    Biol Cybern 99:139-57. 2008
    ..All amplitude-frequency dependencies and phase locking/coupling properties described here are known from and can be discussed using coupled Duffing oscillators which are characterized by autoresonance properties...
  11. doi request reprint Identification of neural activity based on fMRI data: a simulation study
    Dirk Hemmelmann
    Institute of Medical Statistics, Computer Sciences and Documentation, Friedrich Schiller University Jena, Bachstr 18, D 07740 Jena, Germany
    J Physiol Paris 103:353-60. 2009
    ..e. an estimation of generalization error, known from the theory of neural networks. Computer simulations also confirm the validity of our techniques...
  12. doi request reprint How do brain areas communicate during the processing of noxious stimuli? An analysis of laser-evoked event-related potentials using the Granger causality index
    Thomas Weiss
    Institute of Psychology, Department of Biological and Clinical Psychology, Friedrich Schiller University Jena, Jena, Germany
    J Neurophysiol 99:2220-31. 2008
    ..This result was interpreted as a directed interaction between the anterior cingulate cortex and the secondary somatosensory cortex and the insula, structures that are significantly involved in the constitution of pain...
  13. ncbi request reprint Development of interaction measures based on adaptive non-linear time series analysis of biomedical signals
    Lutz Leistritz
    Institute of Medical Statistics, Computer Sciences and Documentation, Friedrich Schiller University Jena, Jena, Germany
    Biomed Tech (Berl) 51:64-9. 2006
    ..An approach for the definition of a state-dependent Granger causality is given and applied to simulated data...
  14. pmc An analytical approach to network motif detection in samples of networks with pairwise different vertex labels
    Christoph Schmidt
    Institute of Medical Statistics, Computer Sciences and Documentation, Jena University Hospital, Friedrich Schiller University Jena, Bachstrasse 18, 07743 Jena, Germany
    Comput Math Methods Med 2012:910380. 2012
    ..We demonstrate that the presented approach yields characteristic patterns of directed interactions while preserving their important topological information and omitting less relevant interactions...
  15. pmc A Multivariate Granger Causality Concept towards Full Brain Functional Connectivity
    Christoph Schmidt
    Institute of Medical Statistics, Computer Sciences and Documentation, Jena University Hospital, Friedrich Schiller University, Jena, Germany
    PLoS ONE 11:e0153105. 2016
    ....
  16. ncbi request reprint EMG analysis of the thenar muscles as a model for EMG-triggered larynx stimulation
    Beatrice Reinhardt
    HNO Klinik, Universitätsklinikum der Friedrich Schiller Universität Jena, Jena, Germany
    Biomed Tech (Berl) 52:122-5. 2007
    ..The EMG data analysis described in this work is one possible approach for regulating pacemaker triggering. In this study we used EMG data from the thenar muscles as a model to calculate a trigger point...
  17. pmc Advanced Insights into Functional Brain Connectivity by Combining Tensor Decomposition and Partial Directed Coherence
    Britta Pester
    Bernstein Group for Computational Neuroscience Jena, Institute of Medical Statistics, Computer Sciences and Documentation, Jena University Hospital, Friedrich Schiller University Jena, Bachstraße 18, Jena, Germany
    PLoS ONE 10:e0129293. 2015
    ..A proof-of-principle of the approach is provided by means of simulated data; EEG data of an experiment concerning visual evoked potentials are used to demonstrate the applicability to real data. ..
  18. ncbi request reprint Identifying mutual information transfer in the brain with differential-algebraic modeling: Evidence for fast oscillatory coupling between cortical somatosensory areas 3b and 1
    Jens Haueisen
    Institute of Biomedical Engineering and Informatics, Technical University Ilmenau, Germany
    Neuroimage 37:130-6. 2007
    ..We exemplify the technique with fast oscillatory activity found in both cortical areas 3b and 1 after peripheral nerve stimulation...
  19. ncbi request reprint Detection of directed information flow in biosignals
    Matthias Winterhalder
    Freiburg Center for Data Analysis and Modeling FDM, University of Freiburg, Freiburg, Germany
    Biomed Tech (Berl) 51:281-7. 2006
    ..The performance of these tools is demonstrated by application to linear dynamic systems...
  20. ncbi request reprint Analysis of time-variant quadratic phase couplings in the tracé alternant EEG by recursive estimation of 3rd-order time-frequency distributions
    Marko Helbig
    Institute of Biomedical Engineering and Informatics, Ilmenau Technical University, PF 100 565, 98684 Ilmenau, Germany
    J Neurosci Methods 157:168-77. 2006
    ..The methods are applied to signal simulations and EEG signals, and it can be shown that the new time-variant bispectral analysis results in a reliable quantification of QPC in the tracé alternant EEG of healthy neonates...
  21. ncbi request reprint Classification of equinus in ambulatory children with cerebral palsy-discrimination between dynamic tightness and fixed contracture
    Ernst B Zwick
    Department of Paediatric Surgery, Paediatric Orthopaedic Unit, Karl Franzens University, Auenbruggerplatz 34, A 8036 Graz, Austria
    Gait Posture 20:273-9. 2004
    ..63. The results indicate that dynamic calf muscle tightness can be differentiated from fixed calf muscle contracture with considerable precision that might facilitate clinical decision-making...