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Event ANT Neuromeeting 2027 - Berlin starts on Jan 14, 2027, 8:00:00 AM (Europe/Berlin)
Andrea Biondi
(30 minutes)
Andrea Biondi
Dr. Andrea Biondi
MND Project Manager, Psychologist, Neuroscientist at Kings College London
Dr. Andrea Biondi
MND Project Manager, Psychologist, Neuroscientist at Kings College London
Dr Andrea Biondi is a neuroscientist and psychologist with a background in clinical neuroscience and a strong interest in neurophysiology, psychopathology, and the application of digital technologies in neurological research.
He is currently the Project Manager of the UK Motor Neurone Disease (MND) Register at King's College London, one of the largest MND research registries globally. In this role, he oversees the operational and strategic coordination of the register, including research ethics and governance, NHS site recruitment, data management, and collaboration with multidisciplinary research teams. His work aims to facilitate high-quality research, advance understanding of MND, and support patient-centred research outcomes.
Previously, Andrea worked as a Research Associate and completed a PhD in Clinical Neuroscience, contributing to the EEG@HOME and IMPARTS projects. His research focused on integrating patient-reported outcomes, wearable sensor data, and EEG-derived biomarkers to investigate the relationship between clinical events and physiological measures. This included exploring associations between seizures, mood, stress, sleep, and medication adherence, alongside digital measures such as sleep patterns, heart rate, and physical activity.

He also worked as a Research Assistant on the RADAR-Epilepsy project, where he contributed to developing and implementing protocols for wearable-device monitoring in both hospital and home settings, with a particular focus on seizure detection and remote patient monitoring. His research has contributed to several publications in the field of wearable technologies and digital health for epilepsy monitoring and management.

Andrea is particularly interested in bridging neuroscience, clinical research, and digital innovation to develop new approaches to monitoring neurological conditions, improving disease understanding, and ultimately enhancing patients' quality of life.
Long-term monitoring in naturalistic settings may reveal individual seizure patterns. EEG@HOME evaluated the feasibility and potential clinical value of combining self-administered home electroencephalography (EEG), wearable devices and digital diaries over six months in people with epilepsy.
Twelve participants took part. Mean adherence was 68% for EEG, 66% for questionnaires and 92% for wearable devices; most evaluated the procedure acceptable. Good or moderate EEG signal quality was achieved by 8/12 participants and remained broadly stable. Interictal epileptiform discharges were identified in four participants and matched previous hospital EEG recordings.

For seizure-risk prediction, patient-specific analyses showed above-chance discrimination in 3/9 participants; however, none met predefined criteria for a risk-informative model. The most informative signals varied between individuals, and multimodal integration did not consistently improve performance.

These findings support home-based multimodal monitoring and its potential to characterise seizure dynamics. Future work will explore advanced EEG analysis and personalised seizure detection and prediction.