Former Minerva Research Group Brain Modes

Background and objective

The brain is a highly adaptive, self-organizing complex system, which has evolved such that neuronal responses and related behavior are continuously optimized with respect to the external and internal context. This capability is achieved by the modulation of neuronal interactions depending on the history of previously processed information. Such meaningful connectivity changes, together with stochastic processes (e.g. thermal noise) influence ongoing neuronal dynamics. The role of such state-dependent fluctuations may be one of the fundamental computational properties of the brain, being pervasively present in human behavior and leaving a distinctive fingerprint in neuroscience data.
By combining advanced multimodal neuroimaging and computational modeling we aim to identify generative mechanisms of ongoing neuronal dynamics and to elucidate principles of interaction between ongoing dynamics and incoming events or tasks.

Methodological developments:

  • My Virtual Dream (myvirtualdream.ca/)
  • The Virtual Brain (thevirtualbrain.org/tvb/zwei)
  • Ultrafast EEG-fMRI
  • EEG-neurofeedback during fMRI
  • Combined 3D-spatial and temporal wavelet analysis

Office:

Department of Neurology, Charité, University Medicine Berlin

10117 Berlin, Charitéplatz 1
Job openings
If you are interested in working in our group please send an e-mail to

Current members:

PD Dr. Petra Ritter - Head of Group
 
Boillet, Camille – Student Assistant
Chettauf, Sabrina – PhD student
Ghani, Amna – PhD student
Komissarov, Anton – Student Assistant
Laubisch, Hans – Student Assistant
Llarena, Adalberto – PhD – Post Doc
Schirner,Michael – PhD student
Palmer, Jessica – Media Artist
Rothmeier, Simon – PhD student
Stosio, Karolina – Master student
Sigala, Rodrigo – PhD- postdoc
Stefanovski, Leon – Master student
Triebkorn, Paul – MD student
Vollbrecht, Daniel – Master student

Links

Bernstein Focus State Dependencies of Learning (www.bfnl-state-dependencies.de/)
Brain Network Recovery Group (www.brainnrg.org/index.php?section=795)
BrainModes Workshop (www.brainmodes.org/)
Brain Connectivity Workshop (www.brain-connectivity-workshop.org/)
BrainModes Group at the Department of Neurology Charité University Medicine Berlin (neurologie.charite.de/forschung/arbeitsgruppen/brainmodes_group_petra_ritter/)

Selected Publications

  • 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(10), 616-628. doi
  • Becker, R., Knock, S., Ritter, P., & Jirsa, V. (in press). Relating alpha power and phase to population firing and hemodynamic activity using a thalamo-cortical neural mass model. PLoS Computational Biology.
  • Kovacevic, N., Ritter, P., Tays, W., Moreno, S., & McIntosh, A. R. (in press). My Virtual Dream: Collective neurofeedback in an immersive art environment. PLoS One.
  • Schirner, M., Rothmeier, S., Jirsa, V. K., McIntosh, A. R., & Ritter, P. (in press). An automated pipeline for constructing personalised virtual brains from multimodal neuroimaging data. NeuroImage.
  • Ritter, P., Born, J., Brecht, M., Dinse, H., Heinemann, U., Pleger, B., Schmitz, D., Schreiber, S., Villringer, A., & Kempter, R. (2015). State-dependencies of learning across brain scales. Frontiers in Computational Neuroscience, 9: 1.
  • Roy D, Sigala, R., Breakspear, M., McIntosh, A.R., Jirsa, V., Deco, G., Ritter, P. (2014). The Virtual Brain reveals how local plasticity shapes the brain´s dynamical landscape and the role of oscillations in this. Brain Connectivity
  • Front Comput Neurosci. 2014 Apr 4;8:36. doi: 10.3389/fncom.2014.00036.
  • eCollection 2014. The role of alpha-rhythm states in perceptual learning: insights from experiments and computational models. Sigala R 1 , Haufe S 1 , Roy D 1 , Dinse HR 2 , Ritter P 3 .
  • Ritter, P., Schirner, M., McIntosh, A. R., & Jirsa, V. K. (2013). The Virtual Brain integrates computational modeling and multimodal neuroimaging. Brain Connectivity, 3(2), 121-145. doi:10.1089/brain.2012.0120.
  • Frank Freyer, Robert Becker, Hubert Dinse, and Petra Ritter. State-dependent perceptual learning. Journal of Neuroscience. 2013 Feb 13;33(7):2900-7. doi: 10.1523/JNEUROSCI.4039-12.2013.
  • Freyer, F., Reinacher, M., Nolte, G., Dinse, H. R., & Ritter, P. (2012). Repetitive tactile stimulation changes resting-state functional connectivity – implications for treatment of sensorimotor decline. Frontiers in Human Neuroscience, 6:144.
  • Freyer, F., Roberts, J. A., Ritter, P., & Breakspear, M. (2012). A canonical model of multistability and scale-invariance in biological systems. PLoS Computational Biology, 8(8): e1002634.
  • Becker R, Reinacher M, Freyer F, Villringer A, Ritter P, (2011) How ongoing neuronal oscillations account for variability of evoked fMRI responses Journal of Neuroscience 32(30):11016-27
  • Freyer F, Roberts JA, Becker R, Robinson P, Ritter P, Breakspear M, (2011) Biophysical mechanisms of multistability in resting-state cortical rhythms Journal of Neuroscience 31(17):6353-61
  • Schultze-Kraft M, Becker F, Breakspear M, Ritter P, (2011) Exploiting the potential of three dimensional spatial wavelet analysis to explore the nesting of oscillations and spatial variance in simultaneous EEG-fMRI data. Progress in Biophysics and Molecular Biology. 105(1-2):67-79
  • Freyer F, Aquino K, Robinson P, Ritter P, Breakspear M. (2009) Non-Gaussian statistics in temporal fluctuations of spontaneous cortical activity. Journal of Neuroscience 29(26): 8512-24
  • Freyer F, Becker R, Anami K, Curio G, Villringer A, Ritter P. (2009) Ultrahigh-frequency EEG during fMRI: Pushing the limits of imaging-artifact correction. Neuroimage 48(1):94-108
  • Ritter P, Moosmann M, Villringer A. (2009) Rolandic Alpha and Beta EEG Rhythms’ Strengths are Inversely Related to fMRI-BOLD Signal in Primary Somatosensory and Motor Cortex. Human Brain Mapping. 30(4):1168-87
  • Ritter P, Freyer F, Curio G, Villringer A. (2008) High frequency (600Hz) population spikes in human EEG delineate thalamic and cortical fMRI activation sites. Neuroimage, 8/2008, 483-90 42(2)
  • Schubert R, Ritter P, Wüstenberg T, Preuschhof C, Curio G, Sommer W, Villringer A. (2008) Simultaneous EEG-fMRI reveals correlation of SEPs with BOLD signal in S1 during spatial attention. Cerebral Cortex 18(11):2686-700.
  • Becker R, Ritter P°, Villringer A° (2008) Influence of Ongoing Alpha Rhythm on the Visual Evoked Potential. Neuroimage. 39(2):707-16 ° Shared senior authorship
  • Selected Reviews, Editorials, Controversies
  • Terry, JR, Ritter P, Daffertshofer A, (2010) Progress in Biophysics and Molecular Biology. Editorial. BrainModes: The role of neuronal oscillations in health and disease. 105(1-2):1-4
  • Breakspear M., Daffertshofer A, Ritter P, (2009) Editorial. Brain Modes: A principled approach to modelling and measuring large-scale neuronal activity. J. Neurosci Methods. 183(1):1-4
  • Ritter P & Becker R, (2009) Detecting Alpha Rhythm Phase Reset by Phase Sorting: Caveats to Consider, Neuroimage 47(1):1-4
  • Ritter P, Villringer A (2006) Simultaneous EEG-fMRI, Neuroscience Biobehav R 30(6):823-38

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