Publications of the group and previous publications of its head Ralph G. Andrzejak
Surrogate time series improve the capability of nonlinear measures to characterize the epileptic process. SIMPLICITY BEHIND COMPLEXITY. 3:360-366.
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2004. Nonlinear time series analysis in a nutshell. Osorio et al. (eds.) Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, Engineering and Physics. :125.
AndrzejakEpilepsyBook2011.pdf (1.47 MB)
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2011. 
All together now: Analogies between chimera state collapses and epileptic seizures. Scientific Reports. 6:23000.
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2016. Using bivariate signal analysis to characterize the epileptic focus: The benefit of surrogates. PHYSICAL REVIEW E. 83:046203.
Andrzejak-PhysicalReviewE2011.pdf (1.32 MB)
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2011. 
Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state. PHYSICAL REVIEW E. 64:061907.
Andrzejak-PhysicalReviewE2001.pdf (306.45 KB)
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2001. 
Generalized synchronization between chimera states. Chaos. 27(5):053114.
Andrzejak_etal_Chaos2017.pdf (1.98 MB)
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2017. 
Bivariate surrogate techniques: Necessity, strengths, and caveats. PHYSICAL REVIEW E. 68:066202.
Andrzejak-PhysicalReviewE2003B.pdf (527.43 KB)
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2003. 
Impact of Biases in the False-Positive Rate on Null Hypothesis Testing. Osorio el al. (eds.) Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, Engineering and Physics. :241.
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2011. Detecting determinism from point processes. Phys. Rev. E. 90:062906.
Andrzejak_PRE_2014.pdf (182.69 KB)
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2014. 
Characterizing unidirectional couplings between point processes and flows. EPL. 96:50012.
AndrzejakEPL2011.pdf (753.04 KB)
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2011. 
The epileptic process as nonlinear deterministic dynamics in a stochastic environment: an evaluation on mesial temporal lobe epilepsy. EPILEPSY RESEARCH. 44:129-140.
Andrzejak-EpilepsyResearch2001.pdf (297.53 KB)
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2001. 
Localization of epileptogenic zone on pre-surgical intracranial EEG recordings: toward a validation of quantitative signal analysis approaches. Brain Topography. 28(6):832-837.
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2015. Nonrandomness, nonlinear dependence, and nonstationarity of electroencephalographic recordings from epilepsy patients. PHYSICAL REVIEW E. 86:046206.
Andrzejak-PhysicalReviewE2012.pdf (1.07 MB)
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2012. 
Improved spatial characterization of the epileptic brain by focusing on nonlinearity. EPILEPSY RESEARCH. 69:30-44.
Andrzejak-EpilepsyResearch2006.pdf (565.74 KB)
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2006. 
Seizure prediction: Any better than chance? CLINICAL NEUROPHYSIOLOGY. 120:1465-1478.
Andrzejak-ClinNeurophysiol2009.pdf (713.2 KB)
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2009. 
Detecting event-related time-dependent directional couplings. NEW JOURNAL OF PHYSICS. 8:6.
Andrzejak-NewJPhysics2006.pdf (240.21 KB)
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2006. 
Nonlinear deterministic dynamics in seizure free EEG epochs as an indicator of the epileptogenic process. A comparison of three surrogate methods. Chaos in brain. :340–343.
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2000. Testing the null hypothesis of the nonexistence of a preseizure state. PHYSICAL REVIEW E. 67:010901.
Andrzejak-PhysicalReviewE2003.pdf (115.14 KB)
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2003. 
Reliable detection of directional couplings using rank statistics. PHYSICAL REVIEW E. 80:026217.
Chicharro-PhysicalReviewE2009.pdf (870.14 KB)
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2009. 
On the spectral formulation of Granger causality. Biological Cybernetics. 105:331-347.
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2011. What can spike train distances tell us about the neural code? JOURNAL OF NEUROSCIENCE METHODS. 199:146-165.
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2011. Nonlinear EEG analysis and its potential role in epileptology. EPILEPSIA. 41:S34-S38.
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2000. Value of nonlinear time series analysis of the EEG in neocortical epilepsies. NEOCORTICAL EPILEPSIES. 84:317-330.
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2000. Characterizing the spatio-temporal dynamics of the epileptogenic process with nonlinear EEG analyses. CELLULAR NEURAL NETWORKS AND THEIR APPLICATIONS. :228-242.
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2002. Methodological Advances in Brain Connectivity. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE.
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2012. Hierarchical clustering using mutual information. EUROPHYSICS LETTERS. 70:278-284.
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2005. Measuring multiple spike train synchrony. JOURNAL OF NEUROSCIENCE METHODS. 183:287-299.
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2009. Measure profile surrogates: A method to validate the performance of epileptic seizure prediction algorithms. PHYSICAL REVIEW E. 69:061915.
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2004. Time-resolved and time-scale adaptive measures of spike train synchrony. JOURNAL OF NEUROSCIENCE METHODS. 195:92-106.
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2011. Monitoring spike train synchrony. Journal of Neurophysiology. 109:1457-1472.
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2013. Measuring synchronization in coupled model systems: A comparison of different approaches. PHYSICA D-NONLINEAR PHENOMENA. 225:29-42.
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2007. Coupling strength versus coupling impact in nonidentical bidirectionally coupled dynamics. Phys. Rev. E. 95(1):012210.
LaiouAndrzejakPRE2017.pdf (470.23 KB)
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2017. 
Evaluation of causality measures based on non-uniform embedding schemes with application to the cardiovascular system. Cardiovascular Oscillations (ESGCO), 2014 8th Conference of the European Study Group on. :225-226.
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2014. Evolutionary optimization of network reconstruction from derivative-variable correlations. J. Phys. A: Math. Theor.. 50:334001.
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2017. Possible clinical and research applications of nonlinear EEG analysis in humans. Chaos in brain. :134–155.
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2000. Seizure prediction by nonlinear EEG analysis. IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE. 22:57-63.
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2003. Is it possible to anticipate seizure onset by non-linear analysis of intracerebral EEG in human partial epilepsies? REVUE NEUROLOGIQUE. 155:454-456.
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1999. Nonlinear EEG analysis in epilepsy: Its possible use for interictal focus localization, seizure anticipation, and prevention. JOURNAL OF CLINICAL NEUROPHYSIOLOGY. 18:209-222.
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2001. Analysis of EEG in epilepsy. MODELLING BIOMEDICAL SIGNALS. :17-27.
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2002. Robustness and versatility of a nonlinear interdependence method for directional coupling detection from spike trains. Phys. Rev. E. 96:022203.
Malvestioetal2017.pdf (1.51 MB)
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2017. 
Epileptic seizures are preceded by a decrease in synchronization. EPILEPSY RESEARCH. 53:173-185.
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2003. Independent delta/theta rhythms in the human hippocampus and entorhinal cortex. FRONTIERS IN HUMAN NEUROSCIENCE. 2:3.
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2008. Automated detection of a preseizure state based on a decrease in synchronization in intracranial electroencephalogram recordings from epilepsy patients. PHYSICAL REVIEW E. 67:021912.
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2003. Seizure prediction: making mileage on the long and winding road. Brain. :1625–1627.
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2016. On the predictability of epileptic seizures. CLINICAL NEUROPHYSIOLOGY. 116:569-587.
Mormann-ClinicalNeurophysiol2005.pdf (637.21 KB)
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2005. 
Seizure prediction: the long and winding road. BRAIN. 130:314-333.
Mormann-Brain2007.pdf (261.02 KB)
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2007. 
Automated Prediction and Assessment of Seizure Prediction Algorithms. Osorio el al. (eds.) Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, Engineering and Physics. :165.
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2011. A distributed computing system for multivariate time series analyses of multichannel neurophysiological data. JOURNAL OF NEUROSCIENCE METHODS. 152:190-201.
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2006. Detecting determinism with improved sensitivity in time series: Rank-based nonlinear predictability score. Phys. Rev. E. 90:032913.
NaroEtAlPhysRevE2014.pdf (350.87 KB)
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2014. 
Measuring nonstationarity by analyzing the loss of recurrence in dynamical systems. PHYSICAL REVIEW LETTERS. 88:244102.
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2002. Improved statistical test for nonstationarity using recurrence time statistics. PHYSICAL REVIEW E. 69:046111.
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2004. Discerning nonstationarity from nonlinearity in seizure-free and preseizure EEG recordings from epilepsy patients. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. 50:634-639.
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2003. Sleep modulation of epileptic activity in mesial and neocortical temporal lobe epilepsy: a study with depth and subdural electrodes. Epilepsy & Behavior. 28(2):185--190.
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2013. Resected Brain Tissue, Seizure Onset Zone and Quantitative EEG Measures: Towards Prediction of Post-Surgical Seizure Control. PLOS ONE. 10(10):e0141023.
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2015. Quantitative Analysis of Peri-Ictal Multi-Channel EEG. Epileptologie. 29:99–113.
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2012. Measures of spike train synchrony for data with multiple time scales. Journal of Neuroscience Methods. 287:25-38.
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2017. Can Your Prediction Algorithm Beat a Random Predictor? Seizure Prediction in Epilepsy: From Basic Mechanisms to Clinical Applications. :237–248.
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2008. Ictal time-irreversible intracranial EEG signals as markers of the epileptogenic zone. Clinical neurophysiology. 127:3051–3058.
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2016. Model-based cover song detection via threshold autoregressive forecasts. Proceedings of 3rd international workshop on Machine learning and music. :13–16.
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2010. Cross recurrence quantification for cover song identification. NEW JOURNAL OF PHYSICS. 11:093017.
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2009. Nonlinear audio recurrence analysis with application to genre classification. 2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING. :169-172.
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2011. Predictability of Music Descriptor Time Series and its Application to Cover Song Detection. IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING. 20:514-525.
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2012. Detection of weak directional coupling: Phase-dynamics approach versus state-space approach. PHYSICAL REVIEW E. 71:036207.
Smirnov-PhysicalReviewE2005.pdf (262.17 KB)
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2005. 
Reliability of ICA estimates with mutual information. INDEPENDENT COMPONENT ANALYSIS AND BLIND SIGNAL SEPARATION. 3195:209-216.
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2004.