Publications of Petra Ritter

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

Schirner, M., McIntosh, A. R., Jirsa, V., Deco, G., & Ritter, P. (2018). Inferring multi-scale neural mechanisms with brain network modelling. ELife, 7. doi:10.7554/eLife.28927.001

Deco, G., Kringelbach, M. L., Jirsa , V. K., & Ritter, P. (2017). The dynamics of resting fluctuations in the brain: Metastability and its dynamical cortical core. Scientific Reports, 7. doi:10.1038/s41598-017-03073-5

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

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

Saggio, M. L., Ritter, P., & Jirsa, V. K. (2016). Analytical operations relate structural and functional connectivity in the brain. PLoS One, 11. doi:10.1371/journal.pone.0157292

Demirtaş, M., Tornador, C., Falcon, C., Lõpez-Solà, M., Hernández-ribas, R., Pújol, J., … Deco, G. (2016). Dynamic functional connectivity reveals altered variability in functional connectivity among patients with major depressive disorder. Human Brain Mapping, 37, 2918–2930.

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

Gilson, M., Moreno-Bote, R., Ponce-Alvarez, A., Ritter, P., & Deco, G. (2016). Estimation of directed effective connectivity from fMRI functional connectivity hints at asymmetries of cortical connectome. PLoS Computational Biology, 12. doi:10.1371/journal.pcbi.1004762

Matzke, H., Schirner, M., Vollbrecht, D., Rothmeier, S., Llarena, A., Rojas, R., … Ritter, P. (2015). TVB-EduPack: An interactive learning and scripting platform for The Virtual Brain. Frontiers in Neuroinformatics, 9. doi:10.3389/fninf.2015.00027

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

Becker, R., Knock, S., Ritter, P., & Jirsa, V. (2015). Relating alpha power and phase to population firing and hemodynamic activity using a thalamo-cortical neural mass model. PLoS Computational Biology, 11. doi:10.1371/journal.pcbi.1004352

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

Kovacevic, N., Ritter, P., Tays, W., Moreno, S., & McIntosh, A. R. (2015). My Virtual Dream: Collective neurofeedback in an immersive art environment. PLoS One, 10. doi:10.1371/journal.pone.0130129

Ritter, P., Jirsa, V., McIntosh, A. R., & Breakspear, M. (2015). Editorial: State-dependent brain computation. Frontiers in Computational Neuroscience, 9. doi:10.3389/fncom.2015.00077

Ritter, P., Born, J., Brecht, M., Dinse, H., Heinemann, U., Pleger, B., … Kempter, R. (2015). State-dependencies of learning across brain scales. Frontiers in Computational Neuroscience, 9. doi:10.3389/fncom.2015.00001

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

Sigala, R., Haufe, S., Roy, D., Dinse, H. R., & Ritter, P. (2014). The role of alpha-rhythm states in perceptual learning: Insights from experiments and computational models. Frontiers in Computational Neuroscience, 8. doi:10.3389/fncom.2014.00036

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

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