É«É«À²

Welcome to our ABC Seminars! This seminar series is open for everyone. The talk will take place in . After the talks, coffee and pulla will be served.

The event will be also streamed via Zoom at: 

Talks: 

Speaker: Amir Omidvarnia (Research Center Juelich)

Title: Navigating General Challenges in Machine Learning Analysis of Neuroimaging Data: A Focus on rs-fMRI in Adults as a Case Study

Abstract: 

This presentation explores some overarching challenges encountered in machine learning analysis and predictive modeling within the context of neuroimaging data. Although I use resting-state functional MRI (rs-fMRI) as a well-known example and case study, my main objective is to draw attention to the general challenges in this field. In particular, I highlight the critical role that demographic variables like age, gender, and population size, besides anatomical features such as brain size, can play in influencing the results of neuroimaging analyses. With an examination of the predictive modeling of cognitive and behavioral phenotypes in two sizeable databases (UK Biobank and Human Connectome Project), my goal is to highlight the importance of tackling these issues in rs-fMRI as well as other neuroimaging modalities. The insights are intended to increase awareness regarding the need to develop crucial strategies for improving the reliability, reproducibility, and resilience of neuroimaging research.

Speaker: Fabrice Wallois (University of Picardie Jules Verne)

Title: The initial functional neurodevelopment in preterm infants

Abstract: 

This talk will delve into the different dynamics and putative functionalities of EEG features in preterm neonates and their eventual relationship with neurodevelopment. The talk will also introduce the strategies developed by the premature brain to code for different auditory stimulations.