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EEG from bench to bedside: Conventional electrophysiological biomarkers and applied deep learning in Psychiatry
Sebastian OlbrichJan. 16
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Oscillatory Brain Activity and the Deployment of Attention
John J. Foxe, PhDJan. 16
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Jan. 16
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Non-Invasive Remote EEG Monitoring at Home in Epilepsy: Insights from the EEG@HOME Study
Dr. Andrea BiondiJan. 16
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To be announced
Prof. Giorgio di LorenzoJan. 16
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Contribution of new methods for combined EEG/MEG source analysis and optimized mc-TES to focal medication-resistant epilepsy
Prof. Dr. Carsten WoltersJan. 16
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Jan. 16
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Decoding Social Touch: EEG Signals Reveal Interdependent Somatosensory Pathways Relevant to Human Affect
Prof. Dr. Annett SchirmerJan. 16
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Assessing the impact of analytical choices on EEG results: Insights from the EEGManyPipelines project
Prof. Dr. Claudia Gianelli & Dr. Elena CesnaiteJan. 16
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Jan. 16
Zakaria Djebbara investigates the role of architectural affordances in cognition and behavior by using mobile EEG, VR, and computational neuroscience. He is antidisciplinary and makes use of any method relevant to the research question. He is currently investigating how sensorimotor brain dynamics modulate behavior and cognition through rhythms that take place in the environment.
Our study challenges the traditional view that cognition operates independently of the body and environment. We investigated how selective attention and neural responses change while turning various degrees of a corner, aiming to fill a gap in neuroscience research regarding human behavior in real-world settings. Specifically, we explored whether cueing paradigms in selective attention apply in naturalistic contexts. Using Mobile Brain/Body Imaging (MoBI), we examined the neural dynamics of selective attention, focusing on how environmental affordances—such as turning corners—affect attentional allocation and motor responses. We adapted a well-established stimulus-response compatibility paradigm into a virtual reality (VR) environment, where 20 participants navigated varying corner angles while responding to visual stimuli on their left or right. This selective attention task required responses either on the same or opposite side of their turning direction. Contrary to previous findings in stationary versions of the task, we observed that ipsilateral stimuli led to slower response times and more errors, especially in conditions involving larger physical effort during turns. This suggests that environmental factors may have a stronger influence on performance than neural transmission speed. Our findings underscore the importance of using naturalistic paradigms in cognitive neuroscience, revealing how embodied interactions shape attentional processes and behavior. We propose that the brain’s capacity to process information and allocate attention is closely tied to the physical environment and the embodied nature of cognition.