The Clinical Neurophysiology AI lab led by Dr. Van den Berg focuses on using electrophysiological and clinical data to develop diagnostic and prognostic models for neurological disorders. We use large clinical datasets available in the Erasmus MC and data acquired through (inter)national consortia to develop, improve, and validate methods for signal analysis and machine learning, together with partners from TU Delft. In collaboration with other clinical departments within the Erasmus MC, such as Neurology, Neurosurgery, Cardiology, and Intensive Care, we use the acquired insights to improve the outcome for our patients.
Current research lines include:
- Developing machine learning models predicting neurological outcome in conditions like pediatric cardiac arrest, and autoimmune encephalitis, based on EEG background patterns and ECG-derived markers for autonomic function.
- Improving the neuromonitoring of patients on the intensive care unit by development and testing of new EEG electrode systems, and through automated analysis of the resulting signals.
- Reducing neurological deficits and increasing total resection rates in neurosurgical procedures through improved intraoperative neuromonitoring.
- Identifying new biomarkers and generating reference values for brain development in healthy children and patients with neurodevelopment disorders, using high-density EEG within the Child Brain Lab at Sophia Children's Hospital.
Within our research group, clinicians and technical experts collaborate to use state-of-the-art technologies in answering critical clinical questions. We believe that the combination of high-quality electrophysiological data, clinical observations, and signal analysis and machine learning knowledge is a powerful tool to improve the lives of our patients, while gaining new insights into the function of the human nervous system. We are always open to new collaborations or ideas. For more information, contact Dr. Van den Berg at r.vandenberg@erasmusmc.n
Contact Person
Dr. Van den Berg
r.vandenberg@erasmusmc.n
