93 citations · 192 across the 11 of their papers we have counts for
12 papers
Neural mass modeling of slow-fast dynamics of seizure initiation and abortion
Elif Köksal Ersöz, Julien Modolo, Fabrice Bartolomei +1
Epilepsy is a dynamic and complex neurological disease affecting about 1% of the worldwide population, among which 30% of the patients are drug-resistant. Epilepsy is characterized…
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…
Decoding the circuitry of consciousness: from local microcircuits to brain-scale networks
Julien Modolo, Mahmoud Hassan, Fabrice Wendling +1
Identifying the physiological processes underlying the emergence and maintenance of consciousness is one of the most fundamental problems of neuroscience, with implications ranging…
Dynamic reshaping of functional brain networks during visual object recognition
J. Rizkallah, P. Benquet, A. Kabbara +3
Emerging evidence shows that the modular organization of the human brain allows for better and efficient cognitive performance. Many of these cognitive functions are very fast and…
Reduced integration and improved segregation of functional brain networks in Alzheimer's disease
A. Kabbara, H. Eid, EL W. Falou +3
Emerging evidence shows that cognitive deficits in Alzheimer disease (AD) are associated with disruptions in brain functional connectivity. Thus, the identification of alterations…
Electroencephalography source connectivity: toward high time/space resolution brain networks
M. Hassan, F. Wendling
The human brain is a large-scale network which function depends on dynamic interactions between spatially-distributed regions. In the rapidly-evolving field of network neuroscience…
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…
Graph analysis of spontaneous brain network using EEG source connectivity
Aya Kabbara, Wassim El Falou, Mohamad Khalil +2
Exploring the human brain networks during rest is a topic of great interest. Several structural and functional studies have previously been conducted to study the intrinsic brain n…
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…