Keyword search (4,163 papers available)

"localization" Keyword-tagged Publications:

Title Authors PubMed ID
1 Human short-term memory learning based on dynamic glutamate levels and oscillatory activities: concurrent metabolic and electrophysiological studies using event-related functional-MRS and EEG modalities Mohammadi H; Zargaran SJ; Khajehpour H; Adibi I; Rahimiforoushani A; Karimi S; Serej ND; Alam NR; 41171530
PERFORM
2 Deformable detection transformers for domain adaptable ultrasound localization microscopy with robustness to point spread function variations Gharamaleki SK; Helfield B; Rivaz H; 40640235
PHYSICS
3 PARPAL: PARalog Protein Redistribution using Abundance and Localization in Yeast Database Greco BM; Zapata G; Dandage R; Papkov M; Pereira V; Lefebvre F; Bourque G; Parts L; Kuzmin E; 40580499
BIOLOGY
4 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
5 Otilonium Bromide Exhibits Potent Antifungal Effects by Blocking Ergosterol Plasma Membrane Localization and Triggering Cytotoxic Autophagy in Candida Albicans Zhen C; Wang L; Feng Y; Whiteway M; Hang S; Yu J; Lu H; Jiang Y; 38995235
BIOLOGY
6 The MyLo CRISPR-Cas9 Toolkit: A Markerless Yeast Localization and Overexpression CRISPR-Cas9 Toolkit Bean BDM; Whiteway M; Martin VJJ; 35708612
BIOLOGY
7 Optical Fiber Array Sensor for Force Estimation and Localization in TAVI Procedure: Design, Modeling, Analysis and Validation Bandari N; Dargahi J; Packirisamy M; 34450813
ENCS
8 Fast oscillations >40 Hz localize the epileptogenic zone: An electrical source imaging study using high-density electroencephalography. Avigdor T, Abdallah C, von Ellenrieder N, Hedrich T, Rubino A, Lo Russo G, Bernhardt B, Nobili L, Grova C, Frauscher B 33450578
PERFORM
9 Effects of Independent Component Analysis on Magnetoencephalography Source Localization in Pre-surgical Frontal Lobe Epilepsy Patients Pellegrino G, Xu M, Alkuwaiti A, Porras-Bettancourt M, Abbas G, Lina JM, Grova C, Kobayashi E, 32582009
PERFORM
10 Editorial: RNA Regulation in Development and Disease. Chartrand P, Jaramillo M, Gamberi C 32411184
BIOLOGY
11 Accuracy and spatial properties of distributed magnetic source imaging techniques in the investigation of focal epilepsy patients. Pellegrino G, Hedrich T, Porras-Bettancourt M, Lina JM, Aydin Ü, Hall J, Grova C, Kobayashi E 32386115
PERFORM
12 W361R mutation in GaaR, the regulator of D-galacturonic acid-responsive genes, leads to constitutive production of pectinases in Aspergillus niger. Alazi E, Niu J, Otto SB, Arentshorst M, Pham TTM, Tsang A, Ram AFJ 30298571
CSFG
13 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
14 Intracranial EEG potentials estimated from MEG sources: A new approach to correlate MEG and iEEG data in epilepsy. Grova C, Aiguabella M, Zelmann R, Lina JM, Hall JA, Kobayashi E 26931511
PERFORM
15 Source localization of the seizure onset zone from ictal EEG/MEG data. Pellegrino G, Hedrich T, Chowdhury R, Hall JA, Lina JM, Dubeau F, Kobayashi E, Grova C 27059157
PERFORM
16 Clinical yield of magnetoencephalography distributed source imaging in epilepsy: A comparison with equivalent current dipole method. Pellegrino G, Hedrich T, Chowdhury RA, Hall JA, Dubeau F, Lina JM, Kobayashi E, Grova C 29024165
PERFORM
17 Reproducibility of EEG-MEG fusion source analysis of interictal spikes: Relevance in presurgical evaluation of epilepsy. Chowdhury RA, Pellegrino G, Aydin Ü, Lina JM, Dubeau F, Kobayashi E, Grova C 29164737
PERFORM

 

Title:Clinical yield of magnetoencephalography distributed source imaging in epilepsy: A comparison with equivalent current dipole method.
Authors:Pellegrino GHedrich TChowdhury RAHall JADubeau FLina JMKobayashi EGrova C
Link:https://www.ncbi.nlm.nih.gov/pubmed/29024165?dopt=Abstract
DOI:10.1002/hbm.23837
Publication:Human brain mapping
Keywords:MEGdipoledistributed sourceinterictal epileptiform dischargesmagnetic source imagingpresurgical evaluationsource localizationspikesurgery
PMID:29024165 Category:Hum Brain Mapp Date Added:2019-06-04
Dept Affiliation: PERFORM
1 Multimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Montreal, Quebec, Canada.
2 Neurology and Neurosurgery Department, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
3 IRCCS Fondazione San Camillo Hospital, Venice, Italy.
4 Departement de Génie Electrique, Ecole de Technologie Supérieure, Montreal, Quebec, Canada.
5 Centre De Recherches En Mathématiques, Montreal, Quebec, Canada.
6 Centre D'études Avancées En Médecine Du Sommeil, Centre De Recherche De L'hôpital Sacré-Coeur De Montréal, Montreal, Quebec, Canada.
7 Physics Department and PERFORM Centre, Concordia University, Montreal, Quebec, Canada.

Description:

Clinical yield of magnetoencephalography distributed source imaging in epilepsy: A comparison with equivalent current dipole method.

Hum Brain Mapp. 2018 01;39(1):218-231

Authors: Pellegrino G, Hedrich T, Chowdhury RA, Hall JA, Dubeau F, Lina JM, Kobayashi E, Grova C

Abstract

OBJECTIVE: Source localization of interictal epileptic discharges (IEDs) is clinically useful in the presurgical workup of epilepsy patients. It is usually obtained by equivalent current dipole (ECD) which localizes a point source and is the only inverse solution approved by clinical guidelines. In contrast, magnetic source imaging using distributed methods (dMSI) provides maps of the location and the extent of the generators, but its yield has not been clinically validated. We systematically compared ECD versus dMSI performed using coherent Maximum Entropy on the Mean (cMEM), a method sensitive to the spatial extent of the generators.

METHODS: 340 source localizations of IEDs derived from 49 focal epilepsy patients with foci well-defined through intracranial EEG, MRI lesions, and surgery were analyzed. The comparison was based on the assessment of the sublobar concordance with the focus and of the distance between the source and the focus.

RESULTS: dMSI sublobar concordance was significantly higher than ECD (81% vs 69%, P?<?0.001), especially for extratemporal lobe sources (dMSI?=?84%; ECD?=?67%, P?<?0.001) and for seizure free patients (dMSI?=?83%; ECD?=?70%, P?<?0.001). The median distance from the focus was 4.88 mm for ECD and 3.44 mm for dMSI (P?<?0.001). ECD dipoles were often wrongly localized in deep brain regions.

CONCLUSIONS: dMSI using cMEM exhibited better accuracy. dMSI also offered the advantage of recovering more realistic maps of the generator, which could be exploited for neuronavigation aimed at targeting invasive EEG and surgical resection. Therefore, dMSI may be preferred to ECD in clinical practice. Hum Brain Mapp 39:218-231, 2018. © 2017 Wiley Periodicals, Inc.

PMID: 29024165 [PubMed - indexed for MEDLINE]





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