Keyword search (3,619 papers available)


Functional PVDF ultrafiltration membrane for Tetrabromobisphenol-A (TBBPA) removal with high water recovery.

Author(s): Chen X, Huang G, Li Y, An C, Feng R, Wu Y, Shen J

Water Res. 2020 May 18;181:115952 Authors: Chen X, Huang G, Li Y, An C, Feng R, Wu Y, Shen J

Article GUID: 32497754

Effect of dissolved oxygen on simultaneous removal of ammonia, nitrate and phosphorus via biological aerated filter with sulfur and pyrite as composite fillers.

Author(s): Li Y, Guo J, Li H, Song Y, Chen Z, Lu C, Han Y, Hou Y

Bioresour Technol. 2019 Oct 28;296:122340 Authors: Li Y, Guo J, Li H, Song Y, Chen Z, Lu C, Han Y, Hou Y

Article GUID: 31704601

Resting-state and Vocabulary Tasks Distinctively Inform On Age-Related Differences in the Functional Brain Connectome.

Author(s): Ferré P, Benhajali Y, Steffener J, Stern Y, Joanette Y, Bellec P

Resting-state and Vocabulary Tasks Distinctively Inform On Age-Related Differences in the Functional Brain Connectome.
Lang Cogn Neurosci. 2019;34(8):949-972
Authors: Ferré P, Benhajali Y, Steffener J, Stern Y, Joanette Y, Bellec P
Abstract
...

Article GUID: 31457069

Chemogenomic Profiling of the Fungal Pathogen Candida albicans.

Author(s): Chen Y, Mallick J, Maqnas A, Sun Y, Choudhury BI, Côte P, Yan L, Ni TJ, Li Y, Zhang D, Rodríguez-Ortiz R, Lv QZ, Jiang YY, Whiteway M

Antimicrob Agents Chemother. 2018 02;62(2): Authors: Chen Y, Mallick J, Maqnas A, Sun Y, Choudhury BI, Côte P, Yan L, Ni TJ, Li Y, Zhang D, Rodríguez-Ortiz R, Lv QZ, Jiang YY, Whiteway M

Article GUID: 29203491

Erratum for Chen et al., "Chemogenomic Profiling of the Fungal Pathogen Candida albicans".

Author(s): Chen Y, Mallick J, Maqnas A, Sun Y, Choudhury BI, Côte P, Yan L, Ni TJ, Li Y, Zhang D, Rodríguez-Ortiz R, Lv QZ, Jiang YY, Whiteway M...

Antimicrob Agents Chemother. 2018 04;62(4): Authors: Chen Y, Mallick J, Maqnas A, Sun Y, Choudhury BI, Côte P, Yan L, Ni TJ, Li Y, Zhang D, Rodríguez-Ortiz R, Lv QZ, Jiang YY, Whiteway M...

Article GUID: 29588354

A Highly Effective Component Vaccine against Nontyphoidal Salmonella enterica Infections.

Author(s): Ferreira RB, Valdez Y, Coombes BK, Sad S, Gouw JW, Brown EM, Li Y, Grassl GA, Antunes LC, Gill N, Truong M, Scholz R, Reynolds LA, Krishnan ...

MBio. 2015 Sep 22;6(5):e01421-15 Authors: Ferreira RB, Valdez Y, Coombes BK, Sad S, Gouw JW, Brown EM, Li Y, Grassl GA, Antunes LC, Gill N, Truong M, Scholz R, Reynolds LA, Krishnan L, Zafer AA, S...

Article GUID: 26396246

MEG-EEG Information Fusion and Electromagnetic Source Imaging: From Theory to Clinical Application in Epilepsy.

Author(s): Chowdhury RA, Zerouali Y, Hedrich T, Heers M, Kobayashi E, Lina JM, Grova C

Brain Topogr. 2015 Nov;28(6):785-812 Authors: Chowdhury RA, Zerouali Y, Hedrich T, Heers M, Kobayashi E, Lina JM, Grova C

Article GUID: 26016950

The role of change in self-criticism across young adulthood in explaining developmental outcomes and psychological wellbeing.

Author(s): Michaeli Y, Kalfon Hakhmigari M, Dickson DJ, Scharf M, Shulman S

J Pers. 2018 Sep 27;: Authors: Michaeli Y, Kalfon Hakhmigari M, Dickson DJ, Scharf M, Shulman S

Article GUID: 30260502

Intracellular Delivery of Colloidally Stable Core-Cross-Linked Triblock Copolymer Micelles with Glutathione-Responsive Enhanced Drug Release for Cancer Therapy.

Author(s): Biswas D, An SY, Li Y, Wang X, Oh JK

Mol Pharm. 2017 08 07;14(8):2518-2528 Authors: Biswas D, An SY, Li Y, Wang X, Oh JK

Article GUID: 28207270


Title:MEG-EEG Information Fusion and Electromagnetic Source Imaging: From Theory to Clinical Application in Epilepsy.
Authors:Chowdhury RAZerouali YHedrich THeers MKobayashi ELina JMGrova C
Link:https://www.ncbi.nlm.nih.gov/pubmed/26016950?dopt=Abstract
DOI:10.1007/s10548-015-0437-3
Category:Brain Topogr
PMID:26016950
Dept Affiliation: PERFORM
1 Multimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Duff Medical Building, 3775, rue University, Room 316, Montreal, QC, H3A 2B4, Canada. rasheda.chowdhury@mail.mcgill.ca.
2 Ecole de Technologie Supérieure, Montreal, Canada.
3 Multimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Duff Medical Building, 3775, rue University, Room 316, Montreal, QC, H3A 2B4, Canada.
4 Neurology and Neurosurgery Department, Montreal Neurological Institute, McGill University, Montreal, Canada.
5 Epilepsy Center, University Hospital Freiburg, Freiburg, Germany.
6 Centre de Recherches Mathématiques, Université de Montréal, Montreal, Canada.
7 Physics Department and PERFORM Centre, Concordia University, Montreal, Canada.

Description:

MEG-EEG Information Fusion and Electromagnetic Source Imaging: From Theory to Clinical Application in Epilepsy.

Brain Topogr. 2015 Nov;28(6):785-812

Authors: Chowdhury RA, Zerouali Y, Hedrich T, Heers M, Kobayashi E, Lina JM, Grova C

Abstract

The purpose of this study is to develop and quantitatively assess whether fusion of EEG and MEG (MEEG) data within the maximum entropy on the mean (MEM) framework increases the spatial accuracy of source localization, by yielding better recovery of the spatial extent and propagation pathway of the underlying generators of inter-ictal epileptic discharges (IEDs). The key element in this study is the integration of the complementary information from EEG and MEG data within the MEM framework. MEEG was compared with EEG and MEG when localizing single transient IEDs. The fusion approach was evaluated using realistic simulation models involving one or two spatially extended sources mimicking propagation patterns of IEDs. We also assessed the impact of the number of EEG electrodes required for an efficient EEG-MEG fusion. MEM was compared with minimum norm estimate, dynamic statistical parametric mapping, and standardized low-resolution electromagnetic tomography. The fusion approach was finally assessed on real epileptic data recorded from two patients showing IEDs simultaneously in EEG and MEG. Overall the localization of MEEG data using MEM provided better recovery of the source spatial extent, more sensitivity to the source depth and more accurate detection of the onset and propagation of IEDs than EEG or MEG alone. MEM was more accurate than the other methods. MEEG proved more robust than EEG and MEG for single IED localization in low signal-to-noise ratio conditions. We also showed that only few EEG electrodes are required to bring additional relevant information to MEG during MEM fusion.

PMID: 26016950 [PubMed - indexed for MEDLINE]