Development of a technological platform for simultaneous EEG-fMRI data integration (seminář)

Multimodal imaging based on simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is a viable approach for investigating human brain function. The integration of EEG and fMRI allows the visualization of the same phenomenon, the brain activation, through two different spatial-temporal windows of analysis, each of them able to show peculiar features. Though, their integration presents highly undesirable issues that can compromise data quality. In fact, the EEG signals recorded during simultaneous fMRI scanning are still contaminated by strong artifacts, induced by the interactions between MR environment, acquisition process, EEG equipment and subject’s physiology. Their presence complicates the characterization of the measured brain signals, and they should therefore be removed before any further analysis.

In this talk, I present a technological platform developed for simultaneous EEG-fMRI data integration. More specifically, special attention has been dedicated to specific aspects that can improve EEG data quality. In fact, artifacts contamination of EEG recordings and inaccurate brain source reconstruction can compromise a reliable coupling between hemodynamic and electrophysiological measurements. Accordingly, the first part of the presentation focuses on EEG artifacts arising from the combination with fMRI, with special attention to the ballistocardiographic (BCG) artifact. The BCG artifact is first characterized and, then, removed by means of an efficient method that relies on BCG artifact features extracted from the data of interest. The second part of the presentation proposes an innovative approach for localizing EEG electrodes position from structural MR images, which is relevant for the generation of the realistic head model to be used for EEG source localization.

The methodological advancements achieved with the development of this platform improve the tools available for the processing of EEG data simultaneously acquired with fMRI scanning. Hence, this work offers relevant tools that might contribute to the investigation of brain function, especially, by reliably coupling EEG and fMRI measurements and allowing the comprehensive characterization of transient brain activity in the same area over time.




<< předchozídalší >>
květen 2022
po út st čt so ne
2 3 4 5 6 7 8
9 10 11 12 13 14 15
16 17 18 19 20 21 22
23 24 25 26 27 28 29
30 31

O NUDZ Aktuality Kalendář Základní dokumenty Řídící a poradní orgány Sponzoring Výroční zprávy Fotogalerie Veřejné zakázky Protikorupční program Historie
O NUDZ Výzkumné programy Léčebná péče Výuka Informační středisko Média Kariéra Kontakty