Brain bioelectrical signals research group
TalTech prioriteetne teadussuund
Medical engineering 2.6
The research group is experienced in the interdisciplinary area of information technology and brain physiology. The studies are aimed to detect and interpret the features in the brain electroencephalography (EEG) signal characteristic for mental disorder, occupational and/or environmental stressors comprising the advanced methods of signal analysis and the knowledge about brain neuronal activity. An original Spectral Asymmetry Index (SASI) has been developed and proved as a promising method in various applications.
By applying EEG-based objective measures it is feasible to indicate early symptoms of depression; Decreased small-world organization of a brain network is compensated with increased alpha connectivity; Long-term temporal variability of SASI for a person is much lower than inter-individual variability, supporting the possibility of using SASI for evaluation of depression symptoms for an individual.
Päeske, L.; Hinrikus, H.; Lass, J.; Raik, J.; Bachmann, M. (2020). Negative Correlation Between Functional Connectivity and Small-Worldness in the Alpha Frequency Band of a Healthy Brain. Frontiers in Physiology, 11 (910). DOI: 10.3389/fphys.2020.00910
Hinrikus, H. et al. (2022) Limiting exposure to radiofrequency radiation: the principles and possible criteria for health protection, International Journal of Radiation Biology, DOI: 10.1080/09553002.2023.2159567
Uudeberg, T. et al. (2022) Changes in EEG Measures of a Recipient of the mRNA COVID-19 Vaccine - A Case Study. 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Glasgow, Scotland, United Kingdom, 2022, pp. 3702-3705, doi: 10.1109/EMBC48229.2022.9871524.
Pépin, M. et al. (2022). Cognitive disorders in patients with chronic kidney disease: specificities of clinical assessment. Nephrology Dialysis Transplantation. DOI: 10.1093/ndt/gfab262.
Põld, T.; Päeske, L.; Hinrikus, H.; Lass, J.; Bachmann, M. (2021). Long-term stability of resting state EEG-based linear and nonlinear measures. International Journal of Psychophysiology, 159, 83−87.
Hinrikus, H.; Lass, J.; Bachmann, M. (2021). Threshold of radiofrequency electromagnetic field effect on human brain. International Journal of Radiation Biology, 97 (11), 1505−1515
https://www.etis.ee/Portal/Projects/Display/fd0aeffa-a7d3-4191-b468-0f44aa2847af Estonian Centre of Excellence in ICT Research