Publikationen von Petra Ritter

Zimmermann, J.; Griffiths, J.; Schirner, M.; Ritter, P.; McIntosh, A. R.: Subject specificity of the correlation between large-scale structural and functional connectivity. Network Neuroscience 3 (1), S. 90 - 106 (2018)

Schirner, M.; McIntosh, A. R.; Jirsa, V.; Deco, G.; Ritter, P.: Inferring multi-scale neural mechanisms with brain network modelling. eLife 7, e28927 (2018)

Deco, G.; Kringelbach, M. L.; Jirsa , V. K.; Ritter, P.: The dynamics of resting fluctuations in the brain: Metastability and its dynamical cortical core. Scientific Reports 7, 3095 (2017)

Bezgin, G.; Solodkin, A.; Bakker, R.; Ritter, P.; McIntosh, A. R.: Mapping complementary features of cross-species structural connectivity to construct realistic “virtual brains”. Human Brain Mapping 38 (4), S. 2080 - 2093 (2017)

Proix, T.; Spiegler, A.; Schirner, M.; Rothmeier, S.; Ritter, P.; Jirsa, V. K.: How do parcellation size and short-range connectivity affect dynamics in large-scale brain network models? NeuroImage 142, S. 135 - 149 (2016)

Saggio, M. L.; Ritter, P.; Jirsa, V. K.: Analytical operations relate structural and functional connectivity in the brain. PLoS One 11 (8), e0157292 (2016)

Demirtaş, M.; Tornador, C.; Falcon, C.; Lõpez-Solà, M.; Hernández-ribas, R.; Pújol, J.; Menchón, J. M.; Ritter, P.; Cardoner, N.; Soriano-Mas, C. et al.; Deco, G.: Dynamic functional connectivity reveals altered variability in functional connectivity among patients with major depressive disorder. Human Brain Mapping 37 (8), S. 2918 - 2930 (2016)

Zimmermann, J.; Ritter, P.; Shen, K.; Rothmeier, S.; Schirner, M.; McIntosh, A. R.: Structural architecture supports functional organization in the human aging brain at a regionwise and network level. Human Brain Mapping 37 (7), S. 2645 - 2661 (2016)

Gilson, M.; Moreno-Bote, R.; Ponce-Alvarez, A.; Ritter, P.; Deco, G.: Estimation of directed effective connectivity from fMRI functional connectivity hints at asymmetries of cortical connectome. PLoS Computational Biology 12 (3), e1004762 (2016)

Matzke, H.; Schirner, M.; Vollbrecht, D.; Rothmeier, S.; Llarena, A.; Rojas, R.; Triebkorn, P.; Domide, L.; Mersmann, J.; Solodkin, A. et al.; Jirsa, V. K.; McIntosh, A. R.; Ritter, P.: TVB-EduPack: An interactive learning and scripting platform for The Virtual Brain. Frontiers in Neuroinformatics 9, 27 (2015)

Kringelbach, M. L.; McIntosh, A. R.; Ritter, P.; Jirsa, V. K.; Deco, G.: The rediscovery of slowness: Exploring the timing of cognition. Trends in Cognitive Sciences 19 (10), S. 616 - 628 (2015)

Becker, R.; Knock, S.; Ritter, P.; Jirsa, V.: Relating alpha power and phase to population firing and hemodynamic activity using a thalamo-cortical neural mass model. PLoS Computational Biology 11 (9), e1004352 (2015)

Schirner, M.; Rothmeier, S.; Jirsa, V. K.; McIntosh, A. R.; Ritter, P.: An automated pipeline for constructing personalized virtual brains from multimodal neuroimaging data. NeuroImage 117, S. 343 - 357 (2015)

Kovacevic, N.; Ritter, P.; Tays, W.; Moreno, S.; McIntosh, A. R.: My Virtual Dream: Collective neurofeedback in an immersive art environment. PLoS One 10 (7), e0130129 (2015)

Ritter, P.; Jirsa, V.; McIntosh, A. R.; Breakspear, M.: Editorial: State-dependent brain computation. Frontiers in Computational Neuroscience 9, 77 (2015)

Ritter, P.; Born, J.; Brecht, M.; Dinse, H.; Heinemann, U.; Pleger, B.; Schmitz, D.; Schreiber, S.; Villringer, A.; Kempter, R.: State-dependencies of learning across brain scales. Frontiers in Computational Neuroscience 9, 1 (2015)

Roy, D.; Sigala, R.; Breakspear, M.; McIntosh, A. R.; Jirsa, V. K.; Deco, G.; Ritter, P.: Using The Virtual Brain to reveal the role of oscillations and plasticity in shaping the brain's dynamical landscape. Brain Connectivity 4 (10), S. 791 - 811 (2014)

Sigala, R.; Haufe, S.; Roy, D.; Dinse, H. R.; Ritter, P.: The role of alpha-rhythm states in perceptual learning: Insights from experiments and computational models. Frontiers in Computational Neuroscience 8, 36 (2014)

Ritter, P.; Schirner, M.; McIntosh, A. R.; Jirsa, V. K.: The Virtual Brain integrates computational modeling and multimodal neuroimaging. Brain Connectivity 3 (2), S. 121 - 145 (2013)

Freyer, F.; Becker, R.; Dinse, H.; Ritter, P.: State-dependent perceptual learning. The Journal of Neuroscience 33 (7), S. 2900 - 2907 (2013)