%0 Journal Article
%A Amiri, Moshgan
%A Raimondo, Federico
%A Fisher, Patrick M.
%A Cacic Hribljan, Melita
%A Sidaros, Annette
%A Othman, Marwan H.
%A Zibrandtsen, Ivan
%A Bergdal, Ove
%A Fabritius, Maria Louise
%A Hansen, Adam Espe
%A Hassager, Christian
%A Højgaard, Joan Lilja S.
%A Jensen, Helene Ravnholt
%A Knudsen, Niels Vendelbo
%A Laursen, Emilie Lund
%A Møller, Jacob E.
%A Nersesjan, Vardan
%A Nicolic, Miki
%A Sigurdsson, Sigurdur Thor
%A Sitt, Jacobo D.
%A Sølling, Christine
%A Welling, Karen Lise
%A Willumsen, Lisette M.
%A Hauerberg, John
%A Larsen, Vibeke Andrée
%A Fabricius, Martin Ejler
%A Knudsen, Gitte Moos
%A Kjærgaard, Jesper
%A Møller, Kirsten
%A Kondziella, Daniel
%T Multimodal Prediction of 3- and 12-Month Outcomes in ICU Patients with Acute Disorders of Consciousness
%J Neurocritical care
%V 40
%N 2
%@ 1541-6933
%C New York, NY
%I Springer
%M FZJ-2024-02502
%P 718 - 733
%D 2024
%X In intensive care unit (ICU) patients with coma and other disorders of consciousness (DoC), outcome prediction is key to decision-making regarding prognostication, neurorehabilitation, and management of family expectations. Current prediction algorithms are largely based on chronic DoC, whereas multimodal data from acute DoC are scarce. Therefore, the Consciousness in Neurocritical Care Cohort Study Using Electroencephalography and Functional Magnetic Resonance Imaging (i.e. CONNECT-ME; ClinicalTrials.gov identifier: NCT02644265) investigates ICU patients with acute DoC due to traumatic and nontraumatic brain injuries, using electroencephalography (EEG) (resting-state and passive paradigms), functional magnetic resonance imaging (fMRI) (resting-state) and systematic clinical examinations.
%F PUB:(DE-HGF)16
%9 Journal Article
%$ 37697124
%U <Go to ISI:>//WOS:001068255700007
%R 10.1007/s12028-023-01816-z
%U https://juser.fz-juelich.de/record/1024836