TNSRE serves the community of biomedical engineers and clinical researchers who work at the intersection of neuroscience and physical medicine. We publish novel approaches and technologies for better understanding neural systems, human movement, and the relationships between them, with a focus on assistive devices that improve life for patients, for practicing clinicians, and for everyday use.
Vahab Youssofzadeh received the Ph.D. degree in computer science from Ulster University, U.K., in 2016. During his Ph.D., he worked on computational analysis and modelling of dynamic brain connectivity. Since December 2015, he has been a Research Associate at Intelligent Systems Research Centre, Ulster University. His research interests include effective connectivity analysis of brain responses using M/EEG data and machine learning analysis of cohort imaging (MRI and PET) data to classify Alzheimer’s disease.
TNSRE, Featured ArticlesDirected Functional Connectivity in Fronto-Centroparietal Circuit Correlates With Motor Adaptation in Gait Training
Lower-extremity robotic exoskeletons are used in gait rehabilitation to achieve functional motor recovery. To date, little is known about how gait training and post-training are characterized in brain signals and their causal connectivity. In this work, we used time-domain partial... Read more
Posted on 30 NOV 2016