The last talk of this series was held on September 2nd, 2022! You can find the topics of the talks below.
If you would like to suggest new ideas for future webinar-series, please contact regional manager Sari Karppinen: Contact us – Tampere (neurocenterfinland.fi)
This webinar-series focuses on topics of neuroscientific modelling and experimentation.
The topics can range from easy examples to advanced clinical applications.
The series is organised by the Inverse Problems -research group led by tenure-track professor Sampsa Pursiainen.
Time: Friday afternoons, from 4 pm to 6 pm, Helsinki-time.
Past talks
May 6th, 2022: Associate Professor Alberto Sorrentino, Universita di Genova
Title: Source and connectivity analysis from M/EEG data: mathematics matters
Abstract: Magnetoencephalography (MEG) and Electroencephalogrphy (EEG) are powerful instruments for investigating brain activity non-invasively: from their recordings, it is possible to localize brain activity underlying specific tasks and characterize networks of spatially distinct brain regions. However, their full potential can only be exploited if the data analysis is carried out using proper mathematical models and related computational algorithms, allowing accurate and reliable results to be obtained.
In this talk, I will provide examples of recent developments that allow to improve over standard methods.
I will present recent advances in the development of a Bayesian framework for source imaging that allows to reconstruct the neural sources of the measured signals with minimal user intervention; I will show how this approach provides increased accuracy in source localization, including an application to data recorded from epileptic subjects.
Then I will discuss how estimates of source space connectivity from MEG/EEG time series are impacted unexpectedly by the choice of the regularization parameter, and what can be done about it.
May 20th 2022: Fernando Galaz Prieto, Inverse Problems-group, Tampere University
Title: MC-tES in Zeffiro Interface: Sparse Optimized and Regularized Stimulus
17.6.2022 Postdoctoral Fellow Narayan P Subramaniyam, Computational Biophysics and Imaging Group, Tampere University
Title: Causal inference from neural time series data
19.8.2022 Medical Physicist Teija Sainio, PhD, Turku University Hospital
Title: Transcranial high-intensity focused ultrasound and its applications
2.9.2022 Herkko Mattila, Tampere University Hospital
Title: Deep Brain Stimulation (DBS): Challenges and possibilities in probing the human brain