Evaluation of surface-based hippocampal registration using ground-truth subfield definitions.
MRI
hippocampal subfields
histology
human
image registration
neuroscience
visualization
Journal
eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614
Informations de publication
Date de publication:
13 11 2023
13 11 2023
Historique:
medline:
15
11
2023
pubmed:
13
11
2023
entrez:
13
11
2023
Statut:
epublish
Résumé
The hippocampus is an archicortical structure, consisting of subfields with unique circuits. Understanding its microstructure, as proxied by these subfields, can improve our mechanistic understanding of learning and memory and has clinical potential for several neurological disorders. One prominent issue is how to parcellate, register, or retrieve homologous points between two hippocampi with grossly different morphologies. Here, we present a surface-based registration method that solves this issue in a contrast-agnostic, topology-preserving manner. Specifically, the entire hippocampus is first analytically unfolded, and then samples are registered in 2D unfolded space based on thickness, curvature, and gyrification. We demonstrate this method in seven 3D histology samples and show superior alignment with respect to subfields using this method over more conventional registration approaches.
Identifiants
pubmed: 37956092
doi: 10.7554/eLife.88404
pii: 88404
pmc: PMC10642966
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 : PJT-174995
Pays : Canada
Informations de copyright
© 2023, DeKraker et al.
Déclaration de conflit d'intérêts
JD, NP, OK, NL, SM, MA, KA, AK, BB, AE No competing interests declared
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