Malformations of cortical development: new surgical advances
P Bourdillon, S Rheims, H Catenoix, A Montavont… - Revue …, 2019 - Elsevier
Epilepsy related to malformations of cortical development is frequently drug resistant or
requires heavy medication, therefore surgery is key in their management. The role of …
requires heavy medication, therefore surgery is key in their management. The role of …
Similarities and differences in neuroplasticity mechanisms between brain gliomas and nonlesional epilepsy
P Bourdillon, C Apra, M Guénot, H Duffau - Epilepsia, 2017 - Wiley Online Library
Objective To analyze the conceptual and practical implications of a hodotopic approach in
neurosurgery, and to compare the similarities and the differences in neuroplasticity …
neurosurgery, and to compare the similarities and the differences in neuroplasticity …
Changes in white matter microstructure impact cognition by disrupting the ability of neural assemblies to synchronize
S Bells, J Lefebvre, SA Prescott… - Journal of …, 2017 - Soc Neuroscience
Cognition is compromised by white matter (WM) injury but the neurophysiological alterations
linking them remain unclear. We hypothesized that reduced neural synchronization caused …
linking them remain unclear. We hypothesized that reduced neural synchronization caused …
Dynamic functional connectivity in temporal lobe epilepsy: a graph theoretical and machine learning approach
Purpose Functional magnetic resonance imaging (fMRI) in resting state can be used to
evaluate the functional organization of the human brain in the absence of any task or …
evaluate the functional organization of the human brain in the absence of any task or …
Increased functional MEG connectivity as a hallmark of MRI-negative focal and generalized epilepsy
Y Li Hegner, J Marquetand, A Elshahabi, S Klamer… - Brain topography, 2018 - Springer
Epilepsy is one of the most prevalent neurological diseases with a high morbidity.
Accumulating evidence has shown that epilepsy is an archetypical neural network disorder …
Accumulating evidence has shown that epilepsy is an archetypical neural network disorder …
Interictal dynamic network transitions in mesial temporal lobe epilepsy
Objective To reveal the possible routine of brain network dynamic alterations in patients with
mesial temporal lobe epilepsy (mTLE) and to establish a predicted model of seizure …
mesial temporal lobe epilepsy (mTLE) and to establish a predicted model of seizure …
Graph theory application with functional connectivity to distinguish left from right temporal lobe epilepsy
S Amiri, J Mehvari-Habibabadi… - Epilepsy research, 2020 - Elsevier
Objective To investigate the application of graph theory with functional connectivity to
distinguish left from right temporal lobe epilepsy (TLE). Methods Alterations in functional …
distinguish left from right temporal lobe epilepsy (TLE). Methods Alterations in functional …
The temporal instability of resting state network connectivity in intractable epilepsy
Objective Focal epilepsies, such as temporal lobe epilepsy (TLE), are known to disrupt
network activity in areas outside the epileptogenic zone [Tracy et al., 2015]. We devised a …
network activity in areas outside the epileptogenic zone [Tracy et al., 2015]. We devised a …
Distinct patterns of hippocampal subfield volume loss in left and right mesial temporal lobe epilepsy
HS Moghaddam, MH Aarabi… - Neurological …, 2021 - Springer
Objective To investigate the pattern and severity of hippocampal subfield volume loss in
patients with left and right mesial temporal lobe epilepsy (mTLE) using quantitative MRI …
patients with left and right mesial temporal lobe epilepsy (mTLE) using quantitative MRI …
A combination of particle swarm optimization and minkowski weighted k-means clustering: application in lateralization of temporal lobe epilepsy
SS Jamali-Dinan, H Soltanian-Zadeh, SM Bowyer… - Brain topography, 2020 - Springer
K-Means is one of the most popular clustering algorithms that partitions observations into
nonoverlapping subgroups based on a predefined similarity metric. Its drawbacks include a …
nonoverlapping subgroups based on a predefined similarity metric. Its drawbacks include a …