| Keyword search (4,164 papers available) | ![]() |
"Lewis LB" Authored Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | 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 |
| 2 | A Simulation Toolkit for Testing the Sensitivity and Accuracy of Corticometry Pipelines | OmidYeganeh M; Khalili-Mahani N; Bermudez P; Ross A; Lepage C; Vincent RD; Jeon S; Lewis LB; Das S; Zijdenbos AP; Rioux P; Adalat R; Van Eede MC; Evans AC; | 34381348 PERFORM |
| 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. |



