The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging.
anatomy
histology
human
multi-modal
neuroimaging
neuroscience
Journal
eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614
Informations de publication
Date de publication:
25 08 2021
25 08 2021
Historique:
received:
06
05
2021
accepted:
23
08
2021
pubmed:
26
8
2021
medline:
16
11
2021
entrez:
25
8
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34431476
doi: 10.7554/eLife.70119
pii: 70119
pmc: PMC8445620
doi:
pii:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : CIHR
ID : FDN-154298
Pays : Canada
Organisme : CIHR
ID : PRJ-174995
Pays : Canada
Organisme : CIHR
ID : 366062
Pays : Canada
Informations de copyright
© 2021, Paquola et al.
Déclaration de conflit d'intérêts
CP, JR, LL, CL, TG, KW, JD, SV, LC, AK, KA, AE, TD, BB none, PT None
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