… , we show that a multimodal approach combining FDG-PET and EEG provide complementary
information on DoC physiopathology improving both their diagnosis and prognostication. …

… evaluation is to monitor the cognitive decline over time and eliminate other possible disorders.
… The images used in this study were FDG-PET images, where scanning began 30 minutes …

… assessments could not suffice to provide accurate diagnostic … We classified EEG background
activity on the basis of … for the FDG-PET of the patient in UWS (FDG-PET values region by …

… We further identified the prediction accuracy of multiple-kernel SVM by … -FDG-PET in two
groups. However, when we conduct a two-sample t-test to compare the mean value of EEG and …

… brain connectomic data from multimodal acquisitions by means of … the evaluation of dementia,
epilepsy and psychiatric disorders. … FDG–PET imaging, EEG and sleep phenotypes as …

… the tumour suggesting a favourable prognosis. MRS (chemical … , psychological and
technical conditions. Neuroscientific … of brain metabolism via 18-FDG-PET, the striatal D2-receptors …

… technical assessment employing fMRI, FDG-PET, and EEG of … can improve the diagnosis
of the current state and prognosis … of a multimodal technical assessment for the diagnosis and …

… recorded under different physiological conditions. For clinical … ii) the metabolic activity
assessed via FDG PET in the DMN. … form of the multimodal fingerprint for individual prognosis and …

… of pre-surgical multimodality evaluation in predicting the freedom of … FDG-PET correlates
with the distribution of ictal EEG discharges. The combination of multimodal imaging and v-EEG …

… , utilizing brain 18F-FDG PET images to surmount the … in PET images pertinent to AD
prediction. They implement a data … a multi-modal feature fusion method that integrates EEG with …