Lectures and seminars Seminar: Guest lectures in the field of EEG/MEG - Professors Fernando Maetsu and Ricardo Bruna

18-10-2023 9:00 am Add to iCal
Campus Solna Petrensalen, Nobels väg 12B, 17165, Solna

Professor Fernando Maestu, Director of the Center for Cognitive and Computational Neuroscience, Madrid, Spain, and his colleague, Associate Professor Ricardo Bruna, are invited to present their extensive work in EEG/MEG and discuss and inspire collaboration with departments at KI (CNS, Neuro, NVS).

Fernando Maestu and his colleagues have made significant advances in AD and MCI research using EEG and MEG methods. Fernando and Ricardo will each give a lecture on Wednesday October 18, starting at 09.00 (Ricardo) and 10.00 (Fernando) - both in Petrensalen, Solna.

Ricardo's talk: "How to estimate brain synchronization from neurophysiological data" will appeal to a more specialized audience interested in practical analysis of MEG/EEG data analysis of synchronization.

Fernando's talk: "Hypersynchronization as a MEG biomarker for tracking AD continuum" will appeal to a wider audience interested in brain imaging, MEG, cognitive function, and neurodegenerative disorders - those with an interest in MEEG and AD/MCI in particular.

A large number of audiences and stakeholders in the research field consider Prof. Fernando Maestu a highly skilled researcher and an excellent and inspiring speaker. For those potentially interested in cognitive function and MEG/EEG data recording and analysis in neurodegenerative diseases, the two lectures are an excellent combination.


Abstract "How to estimate brain synchronization from neurophysiological data":
Brain synchronization, or functional connectivity, has shifted in the last years towards the preferred method to study brain activity, especially when working with pathological states such as AD. This increased popularity has been favored, to a large extent, by the increased computational power. Nevertheless, the estimation of source-space activity and the corresponding functional connectivity can easily exhaust the computational resources of a lab, especially when working with large datasets. In this talk we will present the choices taken, from the raw data to the final comparison of functional connectivity matrices, to achieve consistent results in a fast and efficient way.

Abstract "Hypersynchronization as a MEG biomarker for tracking AD continuum":
In recent years, the study of brain functional networks derived from EEG/MEG as a biomarker to track the changes across the Alzheimer's disease (AD) continuum, has received increasing attention. This is mainly because the method is non-invasive, it is possible to perform multiple recordings on each patient, it is reliable and it is effective in evaluating the impact of different types of interventions. In this talk, we will show specifically how hypersynchrony of the functional networks can be a robust biomarker to track the different stages of the disease, to predict which of the MCI patients will develop dementia, how it is correlated with classical protein biomarkers and how it is modulated by lifestyle and cognitive interventions. Potential pathophysiological bases for hypersynchrony will also be discussed.