93 citations · 163 across the 13 of their papers we have counts for
14 papers
An Electroencephalography connectome predictive model of major depressive disorder severity
Aya Kabbara, Gabriel Robert, Mohamad Khalil +3
Emerging evidence showed that major depressive disorder (MDD) is associated with disruptions of brain structural and functional networks, rather than impairment of isolated brain r…
Postural control adaptation and habituation during vibratory proprioceptive stimulation: an HD-EEG investigation of cortical recruitment and kinematics
Fabio Barollo, Rún Friðriksdóttir, Kyle J. Edmunds +6
The objective of the present work is to measure postural kinematics and power spectral variation from HD-EEG to assess changes in cortical activity during adaptation and habituatio…
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…
Reconstruction of brain networks involved in magnetophosphene perception using dense electroencephalography
Julien Modolo, Mahmoud Hassan, Alexandre Legros
Characterizing functional brain networks in humans during magnetophosphene perception. Dense electroencephalography (EEG, 128 channels) was performed in N=3 volunteers during high-…
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…
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…
A scalp-EEG network-based analysis of Alzheimer's disease patients at rest
Aya Kabbara, Mahmoud Hassan, Mohamad Khalil +2
Most brain disorders including Alzheimer's disease (AD) are related to alterations in the normal brain network organization and function. Exploring these network alterations using…
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…
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…
A node-wise analysis of the uterine muscle networks for pregnancy monitoring
N. Nader, M. Hassan, W. Falou +2
The recent past years have seen a noticeable increase of interest in the correlation analysis of electrohysterographic (EHG) signals in the perspective of improving the pregnancy m…