Vahab Youssofzadeh

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.

Associated articles

TNSRE, Featured Articles
Directed 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