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Concordia Publications:

Title Authors PubMed ID
1 Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data Thölke P; Mantilla-Ramos YJ; Abdelhedi H; Maschke C; Dehgan A; Harel Y; Kemtur A; Mekki Berrada L; Sahraoui M; Young T; Bellemare Pépin A; El Khantour C; Landry M; Pascarella A; Hadid V; Combrisson E; O' Byrne J; Jerbi K; 37385392
IMAGING
2 A dataset of multi-contrast unbiased average MRI templates of a Parkinson's disease population Madge V; Fonov VS; Xiao Y; Zou L; Jackson C; Postuma RB; Dagher A; Fon EA; Collins DL; 37213552
IMAGING
3 Primary and Secondary Progressive Aphasia in Posterior Cortical Atrophy Brodeur C; Belley É; Deschênes LM; Enriquez-Rosas A; Hubert M; Guimond A; Bilodeau J; Soucy JP; Macoir J; 35629330
IMAGING
4 Associations of the BDNF Val66Met Polymorphism With Body Composition, Cardiometabolic Risk Factors, and Energy Intake in Youth With Obesity: Findings From the HEARTY Study Goldfield GS; Walsh J; Sigal RJ; Kenny GP; Hadjiyannakis S; De Lisio M; Ngu M; Prud' homme D; Alberga AS; Doucette S; Goldfield DB; Cameron JD; 34867148
IMAGING
5 The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging Paquola C; Royer J; Lewis LB; Lepage C; Glatard T; Wagstyl K; DeKraker J; Toussaint PJ; Valk SL; Collins DL; Khan A; Amunts K; Evans AC; Dickscheid T; Bernhardt BC; 34431476
IMAGING
6 Lateral Position-Dependent Velocity Estimation Error in Plane-Wave Doppler Ultrasound Systems Wei L; Williams R; Loupas T; Helfield B; Burns PN; 34006440
IMAGING
7 Tools and Techniques for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)/COVID-19 Detection Safiabadi Tali SH; LeBlanc JJ; Sadiq Z; Oyewunmi OD; Camargo C; Nikpour B; Armanfard N; Sagan SM; Jahanshahi-Anbuhi S; 33980687
IMAGING
8 Comparing perturbation models for evaluating stability of neuroimaging pipelines. Kiar G, de Oliveira Castro P, Rioux P, Petit E, Brown ST, Evans AC, Glatard T 32831546
IMAGING
9 Two-stage ultrasound image segmentation using U-Net and test time augmentation. Amiri M; Brooks R; Behboodi B; Rivaz H; 32350786
IMAGING
10 BOLD signal physiology: Models and applications. Gauthier CJ, Fan AP 29544818
IMAGING
11 Exploring the alpha desynchronization hypothesis in resting state networks with intracranial electroencephalography and wiring cost estimates. Gómez-Ramírez J, Freedman S, Mateos D, Pérez Velázquez JL, Valiante TA 29142213
IMAGING
12 Dance and music share gray matter structural correlates. Karpati FJ, Giacosa C, Foster NEV, Penhune VB, Hyde KL 27923638
IMAGING
13 Cyberinfrastructure for Open Science at the Montreal Neurological Institute. Das S, Glatard T, Rogers C, Saigle J, Paiva S, MacIntyre L, Safi-Harab M, Rousseau ME, Stirling J, Khalili-Mahani N, MacFarlane D, Kostopoulos P, Rioux P, Madjar C, Lecours-Boucher X, Vanamala S, Adalat R, Mohaddes Z, Fonov VS, Milot S, Leppert I, Degroot C, Durcan TM, Campbell T, Moreau J, Dagher A, Collins DL, Karamchandani J, Bar-Or A, Fon EA, Hoge R, Baillet S, Rouleau G, Evans AC 28111547
IMAGING
14 Best practices in data analysis and sharing in neuroimaging using MRI. Nichols TE, Das S, Eickhoff SB, Evans AC, Glatard T, Hanke M, Kriegeskorte N, Milham MP, Poldrack RA, Poline JB, Proal E, Thirion B, Van Essen DC, White T, Yeo BT 28230846
IMAGING
15 Neuroimaging tests for clinical psychiatry: Are we there yet? Leyton M, Kennedy SH 28639935
IMAGING
16 Experimental Investigation of Left Ventricular Flow Patterns After Percutaneous Edge-to-Edge Mitral Valve Repair. Jeyhani M, Shahriari S, Labrosse M 29168199
IMAGING
17 The first MICCAI challenge on PET tumor segmentation. Hatt M, Laurent B, Ouahabi A, Fayad H, Tan S, Li L, Lu W, Jaouen V, Tauber C, Czakon J, Drapejkowski F, Dyrka W, Camarasu-Pop S, Cervenansky F, Girard P, Glatard T, Kain M, Yao Y, Barillot C, Kirov A, Visvikis D 29268169
IMAGING
18 Cluster based statistical feature extraction method for automatic bleeding detection in wireless capsule endoscopy video. Ghosh T, Fattah SA, Wahid KA, Zhu WP, Ahmad MO 29407997
IMAGING
19 Muscle Mass and Mortality After Cardiac Transplantation. Bibas L, Saleh E, Al-Kharji S, Chetrit J, Mullie L, Cantarovich M, Cecere R, Giannetti N, Afilalo J 29877924
IMAGING
20 Efficacy of Auditory versus Motor Learning for Skilled and Novice Performers. Brown RM, Penhune VB 30156505
IMAGING

 

Title:Exploring the alpha desynchronization hypothesis in resting state networks with intracranial electroencephalography and wiring cost estimates.
Authors:Gómez-Ramírez JFreedman SMateos DPérez Velázquez JLValiante TA
Link:https://www.ncbi.nlm.nih.gov/pubmed/29142213?dopt=Abstract
DOI:10.1038/s41598-017-15659-0
Publication:Scientific reports
Keywords:
PMID:29142213 Category:Sci Rep Date Added:2019-07-04
Dept Affiliation: IMAGING
1 The Hospital for Sick Children, Neurosciences and Mental Health program, Toronto, Canada. jd.gomezramirez@gmail.com.
2 Concordia University, Montreal, Canada.
3 The Hospital for Sick Children, Neurosciences and Mental Health program, Toronto, Canada.
4 Toronto Western Hospital, Krembil Research Institute, Toronto, Canada.

Description:

Exploring the alpha desynchronization hypothesis in resting state networks with intracranial electroencephalography and wiring cost estimates.

Sci Rep. 2017 Nov 15;7(1):15670

Authors: Gómez-Ramírez J, Freedman S, Mateos D, Pérez Velázquez JL, Valiante TA

Abstract

This paper addresses a fundamental question, are eyes closed and eyes open resting states equivalent baseline conditions, or do they have consistently different electrophysiological signatures? We compare the functional connectivity patterns in an eyes closed resting state with an eyes open resting state to investigate the alpha desynchronization hypothesis. The change in functional connectivity from eyes closed to eyes open, is here, for the first time, studied with intracranial recordings. We perform network connectivity analysis in iEEG and we find that phase-based connectivity is sensitive to the transition from eyes closed to eyes open only in interhemispheral and frontal electrodes. Power based connectivity, on the other hand, consistently discriminates between the two conditions in temporal and interhemispheral electrodes. Additionally, we provide a calculation for the wiring cost, defined in terms of the connectivity between electrodes weighted by distance. We find that the wiring cost variation from eyes closed to eyes open is sensitive to the eyes closed and eyes open conditions. We extend the standard network-based approach using the filtration method from algebraic topology which does not rely on the threshold selection problem. Both the wiring cost measure defined here and this novel methodology provide a new avenue for understanding the electrophysiology of resting state.

PMID: 29142213 [PubMed - indexed for MEDLINE]





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