Speakers
Andrea Alamia
(CerCo, CNRS)
Andrea will present a predictive coding model of alpha rhythms (8-13 Hz), showing how predictive mechanisms in the visual cortex may generate alpha-band traveling waves, and how these mechanisms might differ in psychedelic states and schizophrenia.
Isotta Rigoni
(UNIGE)
Isotta will present a novel EEG network analyses approach in epilepsy, using graph signal processing to integrate structural and functional connectivity for clinical biomarkers.
Edoardo Passarotto
(University of Padova)
Edoardo will discuss sensorimotor adaptation, focusing on how visual and proprioceptive information integration supports posture maintenance. He will present findings from behavioral and EEG studies, highlighting alpha-band oscillations as biomarkers of postural demand and adaptability.
Dario Gordillo
(Charité – Universitätsmedizin Berlin)
Dario will assess EEG features as potential endophenotypes in schizophrenia. His study of a large cohort of patients and controls reveals surprisingly low correlations among EEG features, even among those typically associated with the disorder. This suggests that different EEG features may capture distinct and highly heterogeneous aspects of the disease rather than a unified characteristic.
Melissa Faggella
(EPFL)
Melissa will illustrate the high inter-individual variability and high intra-individual stability of subject-level event-related potential (ERP) waveforms using results from a 10 year long longitudinal study. These results question the validity of group-level ERP and raise the question of the meaning of individual differences in ERP.
Maëlan Menétrey
(UNIL/CHUV/TheSense)
Maëlan will discuss the role of alpha oscillations in perception, using EEG recordings during tasks that involve the long-lasting integration of visual stimuli. His findings suggest that alpha oscillations affect visual processing beyond the temporal resolution of a single alpha cycle, contributing to the ongoing efforts to understand the functions of alpha rhythms in perception.
Mattia Pagnotta
(UC Berkeley)
Mattia will investigate the role of alpha oscillations in working memory (WM), particularly within the frontal-parietal network. His neuroimaging and TMS studies demonstrate the dual function of alpha activity in suppressing irrelevant information and maintaining WM through phase-coding mechanisms.
Martin Seeber
(UCLA)
Martin will present his results on theta (3-9 Hz) dynamics during real and imagined navigation using intracranial EEG in freely moving individuals. His results suggest that theta oscillations encode spatial and temporal transitions, with EEG source imaging revealing functional connectivity between the medial temporal lobe and prefrontal cortex.
