Laura Päeske

Publications

Journal / Periodical: Scientific Reports
Authors: Uudeberg, Tuuli; Päeske, Laura; Hinrikus, Hiie; Lass, Jaanus; Põld, Toomas; Bachmann, Maie
Year: 2025
Journal / Periodical: 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Authors: Masoumirad, Safoora; Päeske, Laura; Lass, Jaanus; Bachmann, Maie
Year: 2025
Journal / Periodical: Biomedical Signal Processing and Control
Authors: Uudeberg, Tuuli; Belikov, Juri; Päeske, Laura; Hinrikus, Hiie; Liiv, Innar; Bachmann, Maie
Year: 2024

Projects

Year: 2024 - 2030
HTTK toob kokku juhtivad psüühika, keha, sotsiaalse konteksti ja ruumilise konteksti uurijad, et luua distsipliinide ülene arusaam komplekssüsteemidest, mis mõjutavad heaolu: elu kvaliteeti erinevates valdkondades objektiivses ja eriti subjektiivses mõttes. Me käsitleme 4 uurimisvaldkonda. 1) KORRELAADID: Millised bio-psühholoogilised ja sotsiaal-ruumilised omadused on seotud heaolu püsivamate komponentidega nagu eluga rahulolu? 2) MEHHANISMID: Kuidas rulluvad inimestes lahti heaolu dünaamilised komponendid, näiteks emotsioonid? 3) ENESEHOOL: Kuidas inimesed ise oma heaolu enesehoole ökosüsteemides mõistavad ja juhivad? 4) SEKKUMISED: Kuidas heaolu isikustatud ja kohandatud sekkumistega edendada? HTTK rahastab interdistsiplinaarseid ametikohti; registriandmetega lõimitud longituud-uuring; doktorikooli; tippsündmusi; ja rändluse ja koostöö toetusmeedet. HTTK tõstab osalevate rühmade, asutuste ja Eesti heaoluteaduste tulemuslikkust ja mõjukust.
Year: 2026 - 2030
The functioning of the brain is based on neuronal cooperation and communication between different brain regions. Electroencephalography (EEG) functional connectivity (FC) analysis contributes to neuroscience and holds great potential for developing novel biomarkers to objectively assess signs of brain disorders. The project proposes a novel approach to the study of functional network analysis, focusing on the interactions between EEG FC and small-world (SW) organization. The project tests the hypothesis that interactions between FC and SW are related to Default Mode Network (DMN) activity, thereby linking electrode-level EEG features to underlying neurophysiological processes. The project uses biophysical modeling for EEG source-level analysis and machine learning to uncover complex patterns and relationships between FC and SW measures. The FC-SW interaction could lead to the development of a prospective biomarker that may be more specific for differentiating between disorders.
Year: 2016 - 2023
Goal of the CoE in ICT, EXCITE, is to bring together the Estonian research competences in the areas of modern robotics, Internet of things, and cyberphysical systems; securiy and dependability; software engineering and foundations of computing; and biomedical application areas. The alignment of research areas strengthens the mutual collaboration and cross the field joint activities, allows to create the capacity and critical mass of next generation ICT researchers. Linking the hardware (robotics, systems design, internet of things, biomedical devices), software and services, developing the security and dependability, working with massive data, and applying these competences to biomedical applications among others, will create a significant impact on society and economy.

Recognitions

Diploma of Estonian National Contest for University Students
2016
Rotalia Foundation scholarship
2015
Scholarship in memory of Ole Golubjatnikov
2015