Themen für Masterarbeiten
Übersicht der Masterarbeitsthemen dieser Professur
Durch Klick auf die einzelnen Themen werden die Detail-Informationen angezeigt.
Falls Sie bei uns eine Masterarbeit machen möchten, erstellen Sie bitte eine Anfrage.
- Informationen zur Masterarbeit
Betreuungsperson der Masterarbeit: Prof. Dr. N. LangerBitte fügen Sie Ihrer Bewerbung für eine Masterarbeit am Lehrstuhl Methoden der Plastizitätsforschung neben einem kurzen Lebenslauf auch ein ca. einseitiges Motivationsschreiben bei, in welchem Sie erklären, warum Sie sich für das Forschungsprojekt bewerben. Für Informationen in Bezug auf konkrete und aktuelle Masterarbeiten wenden Sie sich bitte an eine der genannten Kontaktpersonen.
Pro Bereich können jeweils ca. 2 bis 4 Masterarbeiten vergeben werden.
offen:
Unraveling the Role of the Aperiodic EEG Signal in Age-Related Decline of Visual Working Memory
Beschreibung: Recent EEG literature has highlighted the functional significance of a so far largely neglected EEG signal component - the aperiodic signal. While robust evidence shows that this component undergoes age-related changes during resting-state recordings, emerging studies have demonstrated that it also modulates dynamically during visual working memory tasks.
This master thesis project aims to replicate these findings in young adults and to investigate how accounting for the aperiodic modulations affects established observations of occipital alpha and frontal theta oscillations. Furthermore, the project seeks to extend current knowledge by exploring whether incorporating the aperiodic signal can provide deeper insights into the mechanisms underlying age-related decline in visual working memory function.
Literature:
- Donoghue, T., Haller, M., Peterson, E. J., Varma, P., Sebastian, P., Gao, R., ... & Voytek, B. (2020). Parameterizing neural power spectra into periodic and aperiodic components. Nature neuroscience, 23(12), 1655-1665.
- van Engen, Q., Chau, G., Smith, A., Adam, K. C., Donoghue, T., & Voytek, B. (2024). Dissociating Contributions of Theta and Alpha Oscillations from Aperiodic Neural Activity in Human Visual Working Memory. bioRxiv, 2024-12.
- Adam, K. C., Robison, M. K., & Vogel, E. K. (2018). Contralateral delay activity tracks fluctuations in working memory performance. Journal of Cognitive Neuroscience, 30(9), 1229-1240.
Fukuda, K., Kang, M. S., & Woodman, G. F. (2016). Distinct neural mechanisms for spatially lateralized and spatially global visual working memory representations. Journal of neurophysiology, 116(4), 1715-1727.
Kontakt: Dr. Marius Troendle, E-MailStatus: offen (erfasst / geändert: 17.03.2025)Multiverse Analysis on Task-Induced Changes in Alpha Power in the Sternberg Paradigm
Beschreibung: A multiverse analysis is a statistical approach that explores multiple analytical pathways for the same research question, making the variability of results across different analytical choices transparent. This method addresses the challenge of researcher degrees of freedom by systematically varying key assumptions and parameters to assess the robustness of findings. For EEG data sets, which are complex and sensitive to various preprocessing and analysis decisions, a multiverse analysis is particularly beneficial. It allows researchers to demonstrate how conclusions about brain activity might vary with different analytical strategies. This approach not only enhances the credibility and reproducibility of the findings but also helps to prevent publication of p-hacked results. The multiverse analysis will be performed on an EEG data set of a commonly used working memory task: the Sternberg task.
Literature
Master's Thesis Arne Hansen
Gelman, A., & Loken, E. (2013). The garden of forking paths: Why multiple comparisons can be a problem, even when there is no "fishing expedition" or "p-hacking" and the research hypothesis was posited ahead of time. Department of Statistics, Columbia University, 348(1-17), 3.
Sarma, A., Kale, A., Moon, M., Taback, N., Chevalier, F., Hullman, J., & Kay, M. (2021). multiverse: Multiplexing Alternative Data Analyses in R Notebooks [Preprint]. Open Science Framework. https://doi.org/10.31219/osf.io/yfbwm
Sternberg, S. (1966). High-Speed Scanning in Human Memory. Science, 153(3736):652-654
Kontakt: MSc Arne Hansen, E-MailStatus: offen (erfasst / geändert: 16.01.2025)
vergeben:
Investigating Heterogeneity of Hippocampal Subfields in Alzheimer's Disease: A Normative Modeling Approach
Linking different aspects of neuroanatomy / brain function to characterize ADHD / autism
Transdiagnostic Approaches to Childhood Psychopathology
Falls Sie bei uns eine Masterarbeit machen möchten, erstellen Sie bitte eine Anfrage.