Keyword search (4,163 papers available)

"surgery" Keyword-tagged Publications:

Title Authors PubMed ID
1 Surgery resident pain knowledge and perceptions: gaps and implications for medical training in Canada Burcheri AJ; Galvin CR; Piché N; Frett MJ; Alschuler K; Alberts NM; 41635476
PSYCHOLOGY
2 Statistical shape model-based estimation of registration error in computer-assisted total knee arthroplasty Gheflati B; Mirzaei M; Zuhars J; Rottoo S; Rivaz H; 41495592
ENCS
3 Surgical hyperspectral imaging: a systematic review Ali HM; Xiao Y; Kersten-Oertel M; 40824764
ENCS
4 Assessment of cognitive load in the context of neurosurgery Di Giovanni DA; Kersten-Oertel M; Drouin S; Collins DL; 40650801
PERFORM
5 Is There a Need to Reassess Protein Intake Recommendations Following Metabolic Bariatric Surgery? Ben-Porat T; Lahav Y; Cohen TR; Bacon SL; Buch A; Moizé V; Sherf-Dagan S; 39878797
HKAP
6 iSurgARy: A mobile augmented reality solution for ventriculostomy in resource-limited settings Asadi Z; Castillo JP; Asadi M; Sinclair DS; Kersten-Oertel M; 39816703
ENCS
7 Barriers to and enablers of modifying diet after metabolic bariatric surgery: A systematic review of published literature Yousefi R; Bacon SL; Boucher VG; Acosta PFC; O' Neill J; González-González M; Raymond FC; Lorencatto F; 39815453
HKAP
8 Understanding the Components of Eating Behaviour-Focused Weight Management Interventions Adjunct to Metabolic Bariatric Surgery: Systematic Review of Published Literature Yousefi R; Ben-Porat T; O' Neill J; Boucher VG; Stojanovic J; Fortin A; Lavoie KL; Bacon SL; 39753946
HKAP
9 PreVISE: an efficient virtual reality system for SEEG surgical planning Spiegler P; Abdelsalam H; Hellum O; Hadjinicolaou A; Weil AG; Xiao Y; 39735694
ENCS
10 Virtual reality-based preoperative planning for optimized trocar placement in thoracic surgery: A preliminary study Harirpoush A; Rakovich G; Kersten-Oertel M; Xiao Y; 39720764
ENCS
11 A guide to exploratory structural equation modeling (ESEM) and bifactor-ESEM in body image research Swami V; Maïano C; Morin AJS; 39492241
PSYCHOLOGY
12 Who gains the most quality-of-life benefits from metabolic and bariatric surgery: findings from the prospective REBORN cohort study Yousefi R; Ben-Porat T; Marques Vieira A; Lavoie KL; Bacon SL; 39304457
HKAP
13 Show me the evidence to guide nutrition practice: Scoping review of macronutrient dietary treatments after metabolic and bariatric surgery Parrott JM; Benson-Davies S; O' Kane M; Sherf-Dagan S; Ben-Porat T; Arcone VM; Faria SL; Parrott JS; 39262138
HKAP
14 Education in Laparoscopic Cholecystectomy: Design and Feasibility Study of the LapBot Safe Chole Mobile Game Noroozi M; St John A; Masino C; Laplante S; Hunter J; Brudno M; Madani A; Kersten-Oertel M; 39052314
ENCS
15 LapBot-Safe Chole: validation of an artificial intelligence-powered mobile game app to teach safe cholecystectomy St John A; Khalid MU; Masino C; Noroozi M; Alseidi A; Hashimoto DA; Altieri M; Serrot F; Kersten-Oertal M; Madani A; 39009730
ENCS
16 A decade of progress: bringing mixed reality image-guided surgery systems in the operating room Asadi Z; Asadi M; Kazemipour N; Léger É; Kersten-Oertel M; 38794834
ENCS
17 Systematic review of seizure-onset patterns in stereo-electroencephalography: Current state and future directions Abdallah C; Mansilla D; Minato E; Grova C; Beniczky S; Frauscher B; 38733701
PERFORM
18 A qualitative exploration on the needs of health care providers working with adolescents who are undergoing bariatric surgery Farnesi BC; Kaffash K; Cohen TR; Alberga AS; 37990654
HKAP
19 Childhood Maltreatment in Patients Undergoing Bariatric Surgery: Implications for Weight Loss, Depression and Eating Behavior Ben-Porat T; Bacon SL; Woods R; Fortin A; Lavoie KL; 37432188
HKAP
20 Assessment of electronic patient education materials for adolescent bariatric surgery candidates: An environment scan Wang YN; Heidl AJ; Angeles PM; Farnesi BC; Alberga AS; Cohen TR; 37214509
HKAP
21 Gastrointestinal reported outcomes following One Anastomosis Gastric Bypass based on a multicenter study Sherf-Dagan S; Biton R; Ribeiro R; Kessler Y; Ben-Porat T; Raziel A; Rossoni C; Kais H; Bragança R; Santos Z; Goitein D; Viveiros O; Graham Y; Mahawar K; Sakran N; 37165861
HKAP
22 Understanding the impact of radical changes in diet and the gut microbiota on brain function and structure: rationale and design of the EMBRACE study Ben-Porat T; Alberga A; Audet MC; Belleville S; Cohen TR; Garneau PY; Lavoie KL; Marion P; Mellah S; Pescarus R; Rahme E; Santosa S; Studer AS; Vuckovic D; Woods R; Yousefi R; Bacon SL; 37088645
PERFORM
23 Evolution of depressive symptoms from before to 24 months after bariatric surgery: A systematic review and meta-analysis Robbie Woods 36823768
HKAP
24 Food Addiction and Binge Eating Impact on Weight Loss Outcomes Two Years Following Sleeve Gastrectomy Surgery Ben-Porat T; Košir U; Peretz S; Sherf-Dagan S; Stojanovic J; Sakran N; 35048249
HKAP
25 Putting ATM to BED: How Adipose Tissue Macrophages Are Affected by Bariatric Surgery, Exercise, and Dietary Fatty Acids Turner L; Santosa S; 33979430
PERFORM
26 Behavioral weight management interventions in metabolic and bariatric surgery: A systematic review and meta-analysis investigating optimal delivery timing. Julien CA, Lavoie KL, Ribeiro PAB, Dragomir AI, Mercier LA, Garneau PY, Pescarus R, Bacon SL 33403754
HKAP
27 Augmented reality mastectomy surgical planning prototype using the HoloLens template for healthcare technology letters. Amini S, Kersten-Oertel M 32038868
PERFORM
28 Development and assessment of a stiffness display system for minimally invasive surgery based on smart magneto-rheological elastomers. Hooshiar A, Alkhalaf A, Dargahi J 31924050
ENCS
29 Metabolic networks of the human gut microbiota. Selber-Hnatiw S, Sultana T, Tse W, Abdollahi N, Abdullah S, Al Rahbani J, Alazar D, Alrumhein NJ, Aprikian S, Arshad R, Azuelos JD, Bernadotte D, Beswick N, Chazbey H, Church K, Ciubotaru E, D'Amato L, Del Corpo T, Deng J, Di Giulio BL, Diveeva D, Elahie E, Frank JGM, Furze E, Garner R, Gibbs V, Goldberg-Hall R, Goldman CJ, Goltsios FF, Gorjipour K, Grant T, Greco B, Guliyev N, Habrich A, Hyland H, Ibrahim N, Iozzo T, Jawaheer-Fenaoui A, Jaworski JJ, Jhajj MK, Jones J, Joyette R, Kaudeer S, Kelley S, Ki 31799915
BIOLOGY
30 Quantifying attention shifts in augmented reality image-guided neurosurgery. Léger É, Drouin S, Collins DL, Popa T, Kersten-Oertel M 29184663
PERFORM
31 Distance sonification in image-guided neurosurgery. Plazak J, Drouin S, Collins L, Kersten-Oertel M 29184665
PERFORM
32 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
33 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
34 Nonlinear deformation of tractography in ultrasound-guided low-grade gliomas resection. Xiao Y, Eikenes L, Reinertsen I, Rivaz H 29299739
PERFORM
35 Combining intraoperative ultrasound brain shift correction and augmented reality visualizations: a pilot study of eight cases. Gerard IJ, Kersten-Oertel M, Drouin S, Hall JA, Petrecca K, De Nigris D, Di Giovanni DA, Arbel T, Collins DL 29392162
PERFORM
36 Gesture-based registration correction using a mobile augmented reality image-guided neurosurgery system. Léger É, Reyes J, Drouin S, Collins DL, Popa T, Kersten-Oertel M 30800320
PERFORM

 

Title:Intracranial EEG potentials estimated from MEG sources: A new approach to correlate MEG and iEEG data in epilepsy.
Authors:Grova CAiguabella MZelmann RLina JMHall JAKobayashi E
Link:https://www.ncbi.nlm.nih.gov/pubmed/26931511?dopt=Abstract
DOI:10.1002/hbm.23127
Publication:Human brain mapping
Keywords:epilepsyepilepsy surgeryepileptic spikesintracranial EEGmagnetic resonance imagingmagnetic source imagingneurophysiologypresurgical investigationsource localization
PMID:26931511 Category:Hum Brain Mapp Date Added:2019-06-04
Dept Affiliation: PERFORM
1 Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Québec, Canada.
2 Multimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Montreal, Québec, Canada.
3 Physics Department and PERFORM Centre, Concordia University, Montreal, Québec, Canada.
4 Centre De Recherches En Mathématiques, Montreal, Québec, Canada.
5 Electrical Engineering Department, Ecole De Technologie Supérieure, Montreal, Québec, Canada.
6 Centre D'etudes Avancées En Médecine Du Sommeil, Centre De Recherche De L'hôpital Sacré-Coeur De Montréal, Montreal, Québec, Canada.

Description:

Intracranial EEG potentials estimated from MEG sources: A new approach to correlate MEG and iEEG data in epilepsy.

Hum Brain Mapp. 2016 May;37(5):1661-83

Authors: Grova C, Aiguabella M, Zelmann R, Lina JM, Hall JA, Kobayashi E

Abstract

Detection of epileptic spikes in MagnetoEncephaloGraphy (MEG) requires synchronized neuronal activity over a minimum of 4cm2. We previously validated the Maximum Entropy on the Mean (MEM) as a source localization able to recover the spatial extent of the epileptic spike generators. The purpose of this study was to evaluate quantitatively, using intracranial EEG (iEEG), the spatial extent recovered from MEG sources by estimating iEEG potentials generated by these MEG sources. We evaluated five patients with focal epilepsy who had a pre-operative MEG acquisition and iEEG with MRI-compatible electrodes. Individual MEG epileptic spikes were localized along the cortical surface segmented from a pre-operative MRI, which was co-registered with the MRI obtained with iEEG electrodes in place for identification of iEEG contacts. An iEEG forward model estimated the influence of every dipolar source of the cortical surface on each iEEG contact. This iEEG forward model was applied to MEG sources to estimate iEEG potentials that would have been generated by these sources. MEG-estimated iEEG potentials were compared with measured iEEG potentials using four source localization methods: two variants of MEM and two standard methods equivalent to minimum norm and LORETA estimates. Our results demonstrated an excellent MEG/iEEG correspondence in the presumed focus for four out of five patients. In one patient, the deep generator identified in iEEG could not be localized in MEG. MEG-estimated iEEG potentials is a promising method to evaluate which MEG sources could be retrieved and validated with iEEG data, providing accurate results especially when applied to MEM localizations. Hum Brain Mapp 37:1661-1683, 2016. © 2016 Wiley Periodicals, Inc.

PMID: 26931511 [PubMed - indexed for MEDLINE]





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