OptiNIV, PI/Consortium Leadership Prof. Dr. Andreas Bender, 2021-2025, G-BA/Innovationsfonds

OptiNIV (www.optiniv.de) is about optimizing the post-hospital intensive care of neurological rehabilitation patients. Unfortunately, around 30% of neurological early rehabilitation patients (e.g. after a stroke or traumatic brain injury) are unable to be weaned off ventilation and/or tracheostomy tubes. After completing rehabilitation treatment, patients are discharged to out-of-hospital intensive care (OHIC), which focuses more on maintaining their condition than improving it. As part of the Bavaria-wide OptiNIV project, mobile teams of experts from neurological rehabilitation clinics continue to care for OHIC patients after discharge and aim to wean them off tracheostomy tubes and/or ventilation within a year through a combination of outpatient and inpatient diagnostics and therapy.

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PerBrain (ERAPer伟德国际_伟德国际1946$娱乐app游戏 2019), PI: Jacobo Sitt (Paris), 2020-2025, BMBF

“A Multimodal Approach to Personalized Tracking of Evolving State-Of Consciousness in Brain-lnjured Patients” is a multicentre prospective cohort study of patients who have suffered a severe Disorder of Consciousness (DoC) after an acute brain injury. These patients are misdiagnosed in up to 40% of cases, partly due to the difficulty of making a reliable clinical diagnosis of DoC. In the PerBrain project with partners in Paris, Milan and Tel Aviv, DoC patients are therefore not only examined clinically (CRS-R) but also multimodally with MRI, PET, HD-EEG, quantification of the reaction to odors and TMS/EEG.

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DOC-BOX, PI: Aurore Thibaut (Liège), 2024-2027, EU: HORIZON-MSCA-2022-SE-01-01

This European project entitled “Development of a multimodal toolbox to ensure a fast and reliable diagnosis of consciousness disorders” is being carried out by 16 European partner institutions. The aim is to improve the clinical and technical (e.g. electrophysiology) diagnosis of patients with severe disorders of consciousness (DoC) by developing and evaluating new clinical assessments and automated analysis pipelines for multimodal diagnostics, such as high-resolution EEG (HD-EEG) or fMRI.