45 citations · 47 across the 5 of their papers we have counts for
6 papers · 1 filter
Brain network similarity:Methods and applications
Ahmad Mheich, Fabrice Wendling, Mahmoud Hassan
Graph theoretical approach has proved an effective tool to understand, characterize and quantify the complex brain network. However, much less attention has been paid to methods th…
SimiNet: a Novel Method for Quantifying Brain Network Similarity
Ahmad Mheich, Mahmoud Hassan, Mohamad Khalil +3
Quantifying the similarity between two networks is critical in many applications. A number of algorithms have been proposed to compute graph similarity, mainly based on the propert…
Classification of meaningful and meaningless visual objects: a graph similarity approach
Ahmad Mheich, Mahmoud Hassan, Fabrice Wendling
Cognition involves dynamic reconfiguration of functional brain networks at sub-second time scale. A precise tracking of these reconfigurations to categorize visual objects remains…
Identification of interictal epileptic networks from dense-EEG
Mahmoud Hassan, Isabelle Merlet, Ahmad Mheich +4
Epilepsy is a network disease. The epileptic network usually involves spatially distributed brain regions. In this context, noninvasive M/EEG source connectivity is an emerging tec…
Brain network modules of meaningful and meaningless objects
J. Rizkallah, P. Benquet, F. Wendling +4
Network modularity is a key feature for efficient information processing in the human brain. This information processing is however dynamic and networks can reconfigure at very sho…
Combining EEG source connectivity and network similarity: Application to object categorization in the human brain
Ahmad Mheich, Mahmoud Hassan, Olivier Dufor +2
A major challenge in cognitive neuroscience is to evaluate the ability of the human brain to categorize or group visual stimuli based on common features. This categorization proces…