All genres
2022
Thesis - PhD
Spatio-temporal neural dynamics at rest relate to cognitive performance and age. Dissertation, University of Leipzig, Germany (2022)
Thesis - PhD
New machine learning methods for modeling nonlinear interactions in neural data. Dissertation, TU Berlin, Germany (2022)
Thesis - PhD
On the organization of neural response variability: Probing somatosensory excitability dynamics with oscillatory brain states and stimulus-evoked potentials. Dissertation, University of Leipzig, Germany (2022)
Thesis - PhD
Non-invasive electrophysiological biomarkers of aging and Parkinson’s disease. Dissertation, Charité University Medicine Berlin, Germany (2022)
2024
Preprint
Frequency-specific changes in prefrontal activity associated with maladaptive belief updating in volatile environments in euthymic bipolar disorder. (2024)
Preprint
Linking brain-heart interactions to emotional arousal in immersive virtual reality. (2024)
2023
Preprint
Distinguishing between- from within-site phase-amplitude coupling using antisymmetrized bispectra. (2023)
Preprint
Sensorimotor brain-computer interface performance depends on signal-to-noise ratio but not connectivity of the mu rhythm in a multiverse analysis of longitudinal data. (2023)
2022
Preprint
Non-invasive multi-channel electrophysiology of the human spinal cord: Assessing somatosensory processing from periphery to cortex. (2022)
Preprint
Cortical response variability is driven by local excitability changes with somatotopic organization. (2022)
2021
Preprint
Alterations in rhythmic and non-rhythmic resting-state EEG activity and their link to cognition in older age. (2021)
2020
Preprint
Decoding subjective emotional arousal from EEG during an immersive Virtual Reality experience. (2020)
2019
Preprint
Power-law dynamics in cortical excitability as probed by early somatosensory evoked responses. (2019)
Preprint
Hemispheric asymmetries in resting-state EEG and fMRI are related to approach and avoidance behaviour, but not to eating behaviour or BMI. (2019)
Preprint
Nonlinear interaction decomposition (NID): A method for separation of cross-frequency coupled sources in human brain. (2019)