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.
Does Fractional Anisotropy Predict Motor Imagery Neurofeedback Performance in Healthy Older Adults?
Meekes J. et al, (2019), FRONTIERS IN HUMAN NEUROSCIENCE, 13
High-Intensity Chronic Stroke Motor Imagery Neurofeedback Training at Home: Three Case Reports
Zich C. et al, (2017), Clinical EEG and Neuroscience
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
Multimodal Evaluation of Motor Imagery Training Supported by Mobile EEG at Home: A Case Report
Zich C. et al, (2016), Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015, 3181 - 3186