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To be announced
Prof. Giorgio di Lorenzo
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Deep brain ultrasound stimulation : state of the art transcranial focusing and clinical applications
Prof. Jean-Francois Aubry
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Decoding Social Touch: EEG Signals Reveal Interdependent Somatosensory Pathways Relevant to Human Affect
Prof. Dr. Annett Schirmer
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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 Wolters
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The pull of environmental affordances on selective attention
Dr. Zakaria Djebbara
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To be announced
Prof. John Rothwell
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To be announced
Reinhold Scherer
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Repetitive transcranial magnetic stimulation improves postoperative functional recovery in glioma patients: insights from Beijing Tiantan Hospital
Dr. Fan Xing on behalf of Prof. Jiang Tao
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EEG from bench to bedside: Conventional electrophysiological biomarkers and applied deep learning in Psychiatry
Sebastian Olbrich
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Performance monitoring, post-error adjustments, and acetylcholine
Prof. Dr. med. habil. Markus Ullsperger
Andrea is a neuroscientist and psychologist with expertise in wearable technology, digital health, and psychophysiology. He currently manages the UK MND Register and King's MND Biobank, focusing on administrative operations, NHS site recruitment, research ethics, and data collection governance.
Previously, Andrea was a research associate at King’s College London on the IMPARTS project, supervised by Prof Mark Richardson and Prof Deb Pal. The project aimed to bridge the gap between mental and physical health care in epilepsy management. During his PhD in Clinical Neuroscience, Andrea led the EEG@HOME project, which developed a wearable EEG cap for epilepsy patients to collect daily data at home. This data, combined with smartwatches and smartphone apps, aims to model periods of heightened seizure risk. Andrea’s research focuses on integrating digital mental health interventions in epilepsy care and creating innovative digital solutions for monitoring physiological and behavioral variables. His goal is to advance remote health monitoring and improve symptom management for patients with epilepsy and other neurological disorders.
To be announced