Marius Tröndle

Research interests:

Developmental trajectories of resting state electroencephalographic (EEG) parameters across the lifespan
Working memory task induced modulation of spectral EEG components
Enhancement of EEG analysis using Eye Tracking
Application of machine learning algorithms on neurophysiological data

Google Scholar:
https://scholar.google.ch/citations?user=1wbrueYAAAAJ&hl=de

ZORA Publication List

Format for Download Link

Tröndle, M., & Langer, N. (2024). Decomposing neurophysiological underpinnings of age-related decline in visual working memory Neurobiology of Aging, 139, 30–43. https://doi.org/10.1016/j.neurobiolaging.2024.03.004
Popov, T., Tröndle, M., Barańczuk-Turska, Z., Pfeiffer, C., Haufe, S., & Langer, N. (2023). Test-retest reliability of resting-state EEG in young and older adults Psychophysiology, 60, e14268. https://doi.org/10.1111/psyp.14268
Tröndle, M., Popov, T., Pedroni, A., Pfeiffer, C., Barańczuk-Turska, Z., & Langer, N. (2023). Decomposing age effects in EEG alpha power Cortex, 161, 116–144. https://doi.org/10.1016/j.cortex.2023.02.002
Hollenstein, N., Tröndle, M., Plomecka, M., Kiegeland, S., Özyurt, Y., Jäger, L. A., & Langer, N. (2023). The ZuCo benchmark on cross-subject reading task classification with EEG and eye-tracking data Frontiers in Psychology, 13, 1028824. https://doi.org/10.3389/fpsyg.2022.1028824
Langer, N., Plomecka, M. B., Tröndle, M., Negi, A., Popov, T., Milham, M., & Haufe, S. (2022). A benchmark for prediction of psychiatric multimorbidity from resting EEG data in a large pediatric sample NeuroImage, 258, 119348. https://doi.org/10.1016/j.neuroimage.2022.119348
Tröndle, M., Popov, T., Dziemian, S., & Langer, N. (2022). Decomposing the role of alpha oscillations during brain maturation ELife, 11, 77571. https://doi.org/10.7554/elife.77571