Anatomical variability, multi-modal coordinate systems, and precision targeting in the marmoset brain.
Anatomic Landmarks
Animals
Brain
/ anatomy & histology
Brain Mapping
/ methods
Callithrix
/ anatomy & histology
Equipment Design
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
/ instrumentation
Reproducibility of Results
Surgery, Computer-Assisted
Tomography, X-Ray Computed
/ instrumentation
Marmoset
brain
coordinates
cranium
neurosurgery
subject variability
Journal
NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515
Informations de publication
Date de publication:
15 04 2022
15 04 2022
Historique:
received:
13
09
2021
revised:
31
01
2022
accepted:
01
02
2022
pubmed:
6
2
2022
medline:
18
3
2022
entrez:
5
2
2022
Statut:
ppublish
Résumé
Localising accurate brain regions needs careful evaluation in each experimental species due to their individual variability. However, the function and connectivity of brain areas is commonly studied using a single-subject cranial landmark-based stereotactic atlas in animal neuroscience. Here, we address this issue in a small primate, the common marmoset, which is increasingly widely used in systems neuroscience. We developed a non-invasive multi-modal neuroimaging-based targeting pipeline, which accounts for intersubject anatomical variability in cranial and cortical landmarks in marmosets. This methodology allowed creation of multi-modal templates (MarmosetRIKEN20) including head CT and brain MR images, embedded in coordinate systems of anterior and posterior commissures (AC-PC) and CIFTI grayordinates. We found that the horizontal plane of the stereotactic coordinate was significantly rotated in pitch relative to the AC-PC coordinate system (10 degrees, frontal downwards), and had a significant bias and uncertainty due to positioning procedures. We also found that many common cranial and brain landmarks (e.g., bregma, intraparietal sulcus) vary in location across subjects and are substantial relative to average marmoset cortical area dimensions. Combining the neuroimaging-based targeting pipeline with robot-guided surgery enabled proof-of-concept targeting of deep brain structures with an accuracy of 0.2 mm. Altogether, our findings demonstrate substantial intersubject variability in marmoset brain and cranial landmarks, implying that subject-specific neuroimaging-based localization is needed for precision targeting in marmosets. The population-based templates and atlases in grayordinates, created for the first time in marmoset monkeys, should help bridging between macroscale and microscale analyses.
Identifiants
pubmed: 35122965
pii: S1053-8119(22)00094-5
doi: 10.1016/j.neuroimage.2022.118965
pmc: PMC8948178
mid: NIHMS1785795
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
118965Subventions
Organisme : NIMH NIH HHS
ID : R01 MH060974
Pays : United States
Informations de copyright
Copyright © 2022. Published by Elsevier Inc.
Déclaration de conflit d'intérêts
Declaration of Competing Interest Stephen Frey is employed by Rogue Research Inc. All the other authors declare no competing financial interests.
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