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PubMed Publications| Keyword search (4,163 papers available) |  |
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: | The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging | ||||
| Authors: | 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 | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/34431476/ | ||||
| DOI: | 10.7554/eLife.70119 | ||||
| Publication: | eLife | ||||
| Keywords: | anatomy; histology; human; multi-modal; neuroimaging; neuroscience; | ||||
| PMID: | 34431476 | Category: | Date Added: | 2021-08-25 | |
| Dept Affiliation: |
IMAGING
1 Neurology and Neurosurgery, McGill University, Montréal, Canada. 2 Neurology and Neurosurgery, McGill University, Montreal, Canada. 3 Concordia University, Montreal, Canada. 4 Wellcome Centre for Human Neuroimaging, UCL, London, United Kingdom. 5 Brain and Mind Institute, University of Western Ontario, London, Canada. 6 Cognitive Neurogenetics, Max Planck Institute Leipzig, Leipzig, Germany. 7 McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal Neurological Institute and Hospital, Montreal, Canada. 8 Heinrich Heine University, Düsseldorf, Germany. 9 Forschungszentrum Jülich, Jülich, Germany. |
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Description: |
Neuroimaging stands to benefit from emerging ultrahigh-resolution 3D histological atlases of the human brain; the first of which is 'BigBrain'. Here, we review recent methodological advances for the integration of BigBrain with multi-modal neuroimaging and introduce a toolbox, 'BigBrainWarp', that combines these developments. The aim of BigBrainWarp is to simplify workflows and support the adoption of best practices. This is accomplished with a simple wrapper function that allows users to easily map data between BigBrain and standard MRI spaces. The function automatically pulls specialised transformation procedures, based on ongoing research from a wide collaborative network of researchers. Additionally, the toolbox improves accessibility of histological information through dissemination of ready-to-use cytoarchitectural features. Finally, we demonstrate the utility of BigBrainWarp with three tutorials and discuss the potential of the toolbox to support multi-scale investigations of brain organisation. |
