PERFORM Publications

Keyword search (4,163 papers available)

Title		Authors	PubMed ID
1	Visual Features in Stereo-Electroencephalography to Predict Surgical Outcome: A Multicenter Study	Abdallah C; Thomas J; Aron O; Avigdor T; Jaber K; Doležalová I; Mansilla D; Nevalainen P; Parikh P; Singh J; Beniczky S; Kahane P; Minotti L; Chabardes S; Colnat-Coulbois S; Maillard L; Hall J; Dubeau F; Gotman J; Grova C; Frauscher B;	40519108 SOH
2	Metrics for evaluation of automatic epileptogenic zone localization in intracranial electrophysiology	Hrtonova V; Nejedly P; Travnicek V; Cimbalnik J; Matouskova B; Pail M; Peter-Derex L; Grova C; Gotman J; Halamek J; Jurak P; Brazdil M; Klimes P; Frauscher B;	39608298 SOH
3	EEG/MEG source imaging of deep brain activity within the maximum entropy on the mean framework: Simulations and validation in epilepsy	Afnan J; Cai Z; Lina JM; Abdallah C; Delaire E; Avigdor T; Ros V; Hedrich T; von Ellenrieder N; Kobayashi E; Frauscher B; Gotman J; Grova C;	38994740 SOH
4	A spatial perturbation framework to validate implantation of the epileptogenic zone	Jaber K; Avigdor T; Mansilla D; Ho A; Thomas J; Abdallah C; Chabardes S; Hall J; Minotti L; Kahane P; Grova C; Gotman J; Frauscher B;	38897997 SOH
5	Targeted density electrode placement achieves high concordance with traditional high-density EEG for electrical source imaging in epilepsy	Horrillo-Maysonnial A; Avigdor T; Abdallah C; Mansilla D; Thomas J; von Ellenrieder N; Royer J; Bernhardt B; Grova C; Gotman J; Frauscher B;	37704552 PERFORM
6	Validating MEG source imaging of resting state oscillatory patterns with an intracranial EEG atlas	Afnan J; von Ellenrieder N; Lina JM; Pellegrino G; Arcara G; Cai Z; Hedrich T; Abdallah C; Khajehpour H; Frauscher B; Gotman J; Grova C;	37149236 PERFORM
7	Clinical Yield of Electromagnetic Source Imaging and Hemodynamic Responses in Epilepsy: Validation With Intracerebral Data	Abdallah C; Hedrich T; Koupparis A; Afnan J; Hall JA; Gotman J; Dubeau F; von Ellenrieder N; Frauscher B; Kobayashi E; Grova C;	35473762 PERFORM
8	Detection of abnormal resting-state networks in individual patients suffering from focal epilepsy: an initial step toward individual connectivity assessment.	Dansereau CL, Bellec P, Lee K, Pittau F, Gotman J, Grova C	25565949 PERFORM
9	Detection and Magnetic Source Imaging of Fast Oscillations (40-160 Hz) Recorded with Magnetoencephalography in Focal Epilepsy Patients.	von Ellenrieder N, Pellegrino G, Hedrich T, Gotman J, Lina JM, Grova C, Kobayashi E	26830767 PERFORM
10	SPARK: Sparsity-based analysis of reliable k-hubness and overlapping network structure in brain functional connectivity.	Lee K, Lina JM, Gotman J, Grova C	27046111 PERFORM
11	Disruption, emergence and lateralization of brain network hubs in mesial temporal lobe epilepsy.	Lee K, Khoo HM, Lina JM, Dubeau F, Gotman J, Grova C	30094158 PERFORM
12	Automatic classification and removal of structured physiological noise for resting state functional connectivity MRI analysis.	Lee K, Khoo HM, Fourcade C, Gotman J, Grova C	30695721 PERFORM

Title:	Disruption, emergence and lateralization of brain network hubs in mesial temporal lobe epilepsy.
Authors:	Lee K, Khoo HM, Lina JM, Dubeau F, Gotman J, Grova C
Link:	https://www.ncbi.nlm.nih.gov/pubmed/30094158?dopt=Abstract
DOI:	10.1016/j.nicl.2018.06.029
Publication:	NeuroImage. Clinical
Keywords:	Connector hub; Mesial temporal lobe epilepsy; Network regularization; Resting state fMRI; Sparse dictionary learning;
PMID:	30094158	Category:	Neuroimage Clin	Date Added:	2019-06-04
Dept Affiliation:	PERFORM 1 Multimodal Functional Imaging Lab, Department of Biomedical Engineering, McGill University, Duff Medical Building, 3775 Rue University, Montreal, QC H3A 2B4, Canada; Montreal Neurological Institute, McGill University, 3801 Rue University, Montreal, QC H3A 2B4, Canada. Electronic address: kangjoo.lee@mail.mcgill.ca. 2 Montreal Neurological Institute, McGill University, 3801 Rue University, Montreal, QC H3A 2B4, Canada; Department of Neurosurgery, Osaka University, 2-2 Yamadaoka, Suita, Osaka Prefecture, 565-0871, Japan. 3 École de Technologie Supérieure, 1100 Rue Notre-Dame O, Montreal, QC H3C 1K3, Canada; Centre de Recherches Mathématiques, Université de Montréal, Pavillon André-Aisenstadt 2920 Chemin de la tour, Montreal, QC H3T 1J4, Canada. 4 Montreal Neurological Institute, McGill University, 3801 Rue University, Montreal, QC H3A 2B4, Canada. 5 Multimodal Functional Imaging Lab, Department of Biomedical Engineering, McGill University, Duff Medical Building, 3775 Rue University, Montreal, QC H3A 2B4, Canada; Montreal Neurological Institute, McGill University, 3801 Rue University, Montreal, QC H3A 2B4, Canada; Centre de Recherches Mathématiques, Université de Montréal, Pavillon André-Aisenstadt 2920 Chemin de la tour, Montreal, QC H3T 1J4, Canada; Department of Physics and PERFORM Centre, Concordia University, 7200 Rue Sherbrooke St. W, Montreal, QC H4B 1R6, Canada.

Description:

Disruption, emergence and lateralization of brain network hubs in mesial temporal lobe epilepsy.

Neuroimage Clin. 2018;20:71-84

Authors: Lee K, Khoo HM, Lina JM, Dubeau F, Gotman J, Grova C

Abstract

Hubs of brain networks are brain regions exhibiting denser connections than others, promoting long-range communication. Studies suggested the reorganization of hubs in epilepsy. The patterns of connector hub abnormalities specific to mesial temporal lobe epilepsy (mTLE) are unclear. We wish to quantify connector hub abnormalities in mTLE and identify epilepsy-related resting state networks involving abnormal connector hubs. A recently developed sparsity-based analysis of reliable k-hubness (SPARK) allowed us to address this question by using resting state functional MRI in 20 mTLE patients and 17 healthy controls. Handling the multicollinearity of functional networks, SPARK measures a new metric of hubness by counting the number (k) of networks involved in each voxel, and identifies which networks are actually associated to each connector hub. This measure provides new information about the network architecture involving connector hubs and a realistic range of k-hubness. We quantified the disruption and emergence of connector hubs in individual epileptic subjects and assessed the lateralization of networks involving connector hubs. In mTLE, we found pathological disruptions of normal connector hubs in the mTL and within the default mode network. Right mTLE had remarkably higher emergence of new connector hubs in the mTL than left mTLE. Different patterns of lateralization of the salience network involving the abnormal hippocampus were found in right versus left mTLE. The temporal, cerebellar, default mode, subcortical and motor networks also contributed to the lateralization of hippocampal networks. We finally observed an asymmetrical connector hub reorganization and overall regularization of epilepsy-related resting state networks in mTLE, characterized by the disruption of distant connections and the emergence of local connections.

PMID: 30094158 [PubMed - indexed for MEDLINE]

BookR: School of Health Core Facilities Booking

"Gotman J" Authored Publications:

Search Publications

No results