Thesis supervisor: Zoltán Juhász
co-supervisor: Zoltán Nagy
Location of studies (in Hungarian): University of Pannonia, H-8200 Veszprém, Egyetem u. 10. Hungary Abbreviation of location of studies: PE
Description of the research topic:
Brain oscillations registered by scalp EEG play an important role in advancing our knowledge about the different processes of the human brain. The precise localisation of these oscillations in time, frequency and spatial domains and understanding their properties are crucial to our better understanding of planned task executions (e.g. finger tap, word recognition, decision, etc.) and can contribute to better diagnosis and treatment of brain injuries and diseases (e.g. stroke, Parkinson’s disease, dementia). In this research, a series of resting-state and task-related EEG measurements will be analysed in different frequency bands with high temporal and spatial resolution. Using the instantaneous phase of the oscillations, phase coherence and functional connectivity networks will be computed and analysed for clustering and network dynamics. The medical support for this research will be provided by researchers in the National Institute of Clinical Neurosciences and the Semmelweis University.
Preliminary results can be found in the following publications:
1. Buzsáki, György, and Andreas Draguhn. "Neuronal oscillations in cortical networks." science 304, no. 5679 (2004): 1926-1929.
2. Lin, Fa-Hsuan, et al. "Spectral spatiotemporal imaging of cortical oscillations and interactions in the human brain." Neuroimage 23.2 (2004): 582-595.
3. Mohamed F. Issa, Gyorgy Kozmann and Zoltan Juhasz, Increasing the Temporal Resolution of Dynamic Functional Connectivity with Ensemble Empirical Mode Decomposition, in Proc. EMBEC2020, 8th European Medical and Biological Engineering Conference, Portoroz, Slovenia, Dec 3 2020. in press
Required language skills: english Further requirements: Besides a solid foundation in computer science, the applicant should be fluent in English, and have a strong knowledge of advanced mathematics, physics, signal processing methods as well as an interest in biology and neuroscience.
Number of students who can be accepted: 1
Deadline for application: 2021-02-28
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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