In this dissertation, I have addressed the question of how resting-state EEG markers primarily in the alpha frequency range are linked to general cognitive performance and age. In the three studies presented in the work, I show that alpha power, frequency, and temporal dynamics, have distinct contributions to cognitive control functions in different age groups. Moreover, individual alpha peak frequency as well as the slope of 1/f decay of the PSD shows consistent age-related alterations, while alpha power is linked to structural alterations in the white matter. Our research extends further existing literature by specifying relevant neural networks as well as important methodological considerations that should be taken into account when analysing properties of oscillations.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:92132 |
| Date | 19 June 2024 |
| Creators | Cesnaite, Elena |
| Contributors | Max-Planck-Institut für Kognitions- und Neurowissenschaften, Universität Leipzig |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | 10.1016/j.neuroimage.2018.12.001, 10.1016/j.neurobiolaging.2021.10.006, 10.1016/j.neuroimage.2022.119810, https://doi.org/10.1038/sdata.2018.308 |
Page generated in 0.0019 seconds