• Human confidence judgments reflect reliability-based hierarchical integration of contextual information

  Schustek, Philipp; Hyafil, Alexandre; Moreno-Bote, Rubén (Nature Research, 2019)

  Our immediate observations must be supplemented with contextual information to resolve ambiguities. However, the context is often ambiguous too, and thus it should be inferred itself to guide behavior. Here, we introduce ...
• Disrupted brain structural connectivity in pediatric bipolar disorder with psychosis

  Fernandes, Henrique M.; Cabral, Joana; van Hartevelt, Tim J.; Lord, Louis-David; Gleesborg, Carsten; Møller, Arne; Deco, Gustavo; Whybro, Peter C.; Petrovic, Predrag; James, Anthony C.; Kringelbach, Morten L. (Nature Research, 2019)

  Bipolar disorder (BD) has been linked to disrupted structural and functional connectivity between prefrontal networks and limbic brain regions. Studies of patients with pediatric bipolar disorder (PBD) can help elucidate ...
• Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep

  Stevner, Angus B.A.; Vidaurre, Diego; Cabral, Joana; Rapuano, Kristina M.; Nielsen, Søren Føns Vind; Tagliazucchi, Enzo; Laufs, Helmut; Vuust, Peter; Deco, Gustavo; Woolrich, Mark W.; van Someren, Eus; Kringelbach, Morten L. (Nature Research, 2019)

  The modern understanding of sleep is based on the classification of sleep into stages defined by their electroencephalography (EEG) signatures, but the underlying brain dynamics remain unclear. Here we aimed to move ...
• Characterizing the dynamical complexity underlying meditation

  Escrichs, Anira; Sanjuán, Ana; Atasoy, Selen; López-González, Ane; Garrido, César; Càmara, Estela; Deco, Gustavo (Frontiers, 2019)

  Over the past 2,500 years, contemplative traditions have explored the nature of the mind using meditation. More recently, neuroimaging research on meditation has revealed differences in brain function and structure in ...
• Detecting determinism with improved sensitivity in time series: rank-based nonlinear predictability score

  Naro, Daniel; Rummel, Christian; Schindler, Kaspar A.; Andrzejak, Ralph Gregor (American Physical Society, 2014)

  The rank-based nonlinear predictability score was recently introduced as a test for determinism in point processes. We here adapt this measure to time series sampled from time-continuous flows. We use noisy Lorenz signals ...
• Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state

  Andrzejak, Ralph Gregor; Lehnertz, Klaus; Mormann, Florian; Rieke, Christoph; David, Peter; Elger, Christian E. (American Physical Society, 2001)

  We compare dynamical properties of brain electrical activity from different recording regions and from different physiological and pathological brain states. Using the nonlinear prediction error and an estimate of ...
• Measuring nonstationarity by analyzing the loss of recurrence in dynamical systems

  Rieke, Christoph; Sternickel, Karsten; Andrzejak, Ralph Gregor; Elger, Christian E.; David, Peter; Lehnertz, Klaus (American Physical Society, 2002)

  We propose a measure for nonstationarity which is based on the analysis of distributions of temporal distances of neighboring vectors in state space. As an extension of previous techniques our method does not require a ...
• Testing the null hypothesis of the nonexistence of a preseizure state

  Andrzejak, Ralph Gregor; Mormann, Florian; Kreuz, Thomas; Rieke, Christoph; Kraskov, Alexander; Elger, Christian E.; Lehnertz, Klaus (American Physical Society, 2003)

  A rapidly growing number of studies deals with the prediction of epileptic seizures. For this purpose, various techniques derived from linear and nonlinear time series analysis have been applied to the electroencephalogram of ...
• Bivariate surrogate techniques: necessity, strengths, and caveats

  Andrzejak, Ralph Gregor; Kraskov, Alexander; Stögbauer, Harald; Mormann, Florian; Kreuz, Thomas (American Physical Society, 2003)

  The concept of surrogates allows testing results from time series analysis against specified null hypotheses. In application to bivariate model dynamics we here compare different types of surrogates, each designed to ...
• Automated detection of a preseizure state based on a decrease in synchronization in intracranial electroencephalogram recordings from epilepsy patients

  Mormann, Florian; Andrzejak, Ralph Gregor; Kreuz, Thomas; Rieke, Christoph; David, Peter; Elger, Christian E.; Lehnertz, Klaus (American Physical Society, 2003)

  The question whether information extracted from the electroencephalogram ~EEG! of epilepsy patients can be used for the prediction of seizures has recently attracted much attention. Several studies have reported evidence ...
• Model cortical responses for the detection of perceptual onsets and beat tracking in singing

  Coath, Martin; Denham, Susan L.; Smith, Leigh M.; Honing, Henkjan; Hazan, Amaury; Holonowicz, Piotr; Purwins, Hendrick (Taylor & Francis, 2009)

  We describe a biophysically motivated model of auditory salience based on a model of cortical responses and present results that show that the derived measure of salience can be used to identify the position of perceptual ...
• On the interrelation between listener characteristics and the perception of emotion in classical orchestra music

  Schedl, Markus; Gómez Gutiérrez, Emilia, 1975-; Trent, Erika S.; Tkalčič, Marko; Eghbal-Zadeh, Hamid; Martorell Domínguez, Agustín (Institute of Electrical and Electronics Engineers (IEEE), 2017)

  This study deals with the strong relationship between emotions and music, investigating three main research questions: (RQ1) Are there differences in human music perception (e.g., emotions, tempo, instrumentation, and ...
• Trends and perspectives in music cognition research and technology

  Purwins, Hendrick; Hardoon, David R. (Taylor & Francis, 2009)
• Characteristic sounds facilitate object search in real-life scenes

  Kvasova, Daria; Garcia-Vernet, Laia; Soto Faraco, Salvador (Frontiers, 2019)

  Real-world events do not only provide temporally and spatially correlated information across the senses, but also semantic correspondences about object identity. Prior research has shown that object sounds can enhance ...
• Awakening: Predicting external stimulation to force transitions between different brain states

  Deco, Gustavo; Cruzat, Josephine; Cabral, Joana; Tagliazucchi, Enzo; Laufs, Helmut; Logothetis, Nikos K.; Kringelbach, Morten L. (National Academy of Sciences, 2019)

  A fundamental problem in systems neuroscience is how to force a transition from one brain state to another by external driven stimulation in, for example, wakefulness, sleep, coma, or neuropsychiatric diseases. This requires ...
• A new computational approach to estimate whole-brain effective connectivity from functional and structural MRI, applied to language development

  Hahn, Gerald; Skeide, Michael A.; Mantini, Dante; Ganzetti, Marco; Destexhe, Alain; Friederici, Angela D.; Deco, Gustavo (Nature Research, 2019)

  Recently introduced effective connectivity methods allow for the in-vivo investigation of large-scale functional interactions between brain regions. However, dynamic causal modeling, the most widely used technique to date, ...
• Altered ability to access a clinically relevant control network in patients remitted from major depressive disorder

  Figueroa, Caroline A.; Cabral, Joana; Mocking, Roeal J.T.; Rapuano, Kristina M.; van Hartevelt, Tim J.; Deco, Gustavo; Expert, Paul; Schene, Aart H.; Kringelback, Morten L.; Ruhé, Henricus G. (Wiley, 2019)

  Neurobiological models to explain vulnerability of major depressive disorder (MDD) are scarce and previous functional magnetic resonance imaging studies mostly examined “static” functional connectivity (FC). Knowing that ...
• Measure profile surrogates: a method to validate the performance of epileptic seizure prediction algorithms

  Kreuz, Thomas; Andrzejak, Ralph Gregor; Mormann, Florian; Kraskov, Alexander; Stögbauer, Harald; Elger, Christian E.; Lehnertz, Klaus; Grassberger, Peter (American Physical Society, 2004)

  In a growing number of publications it is claimed that epileptic seizures can be predicted by analyzing the electroencephalogram (EEG) with different characterizing measures. However, many of these studies suffer from a ...
• Improved statistical test for nonstationarity using recurrence time statistics

  Rieke, Christoph; Andrzejak, Ralph Gregor; Mormann, Florian; Lehnertz, Klaus (American Physical Society, 2003)

  We have recently introduced a measure for nonstationarity using a recurrence time statistic to assess stationarity. In this paper we propose an extension of this method based on a detailed study of the statistics for ...
• Detection of weak directional coupling: phase-dynamics approach versus state-space approach

  Smirnov, Dmitry A.; Andrzejak, Ralph Gregor (American Physical Society, 2005)

  We compare two conceptually different approaches to the detection of weak directional couplings between two oscillatory systems from bivariate time series. The first approach is based on the analysis of the systems’ phase ...

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