- Physiological Neuroimaging Group Research Group
My research aims to further our understanding of the neural signatures of movement execution and movement imagination to facilitate human motor plasticity. To this end I use a suit of neuroimaging techniques. My key method is mobile and high-density EEG, but I also use MEG, f/MRI, fNIRS, and simultaneous EEG-fMRI and EEG-fNIRS recordings. Moreover, I applied EEG-based neurofeedback, fMRI-based neurofeedback and tDCS to modulate neural activity.
High-Intensity Chronic Stroke Motor Imagery Neurofeedback Training at Home: Three Case Reports.
Zich C. et al, (2017), Clin EEG Neurosci
Motor Imagery Impairment in Postacute Stroke Patients
Braun N. et al, (2017), Neural Plasticity, 2017, 1 - 13
Simultaneous EEG-fNIRS reveals how age and feedback affects motor imagery signatures
Zich C. et al, (2017), Neurobiology of Aging, 49, 183 - 197
Lateralization patterns of covert but not overt movements change with age: An EEG neurofeedback study.
Zich C. et al, (2015), Neuroimage, 116, 80 - 91
Real-time EEG feedback during simultaneous EEG-fMRI identifies the cortical signature of motor imagery.
Zich C. et al, (2015), Neuroimage, 114, 438 - 447