In vivo localization of cortical areas using a 3D computerized atlas of the marmoset brain

被引:6
|
作者
Risser, Laurent [1 ]
Sadoun, Amirouche [2 ]
Mescam, Muriel [2 ]
Strelnikov, Kuzma [2 ]
Lebreton, Sandra [1 ]
Boucher, Samuel [2 ,3 ]
Girard, Pascal [2 ]
Vayssiere, Nathalie [2 ]
Rosa, Marcello G. P. [4 ,5 ]
Fonta, Caroline [2 ]
机构
[1] Univ Toulouse, UMR5219, IMT, UPS, F-31062 Toulouse, France
[2] Univ Toulouse, Ctr Rech Cerveau & Cognit CerCo, CHU Purpan, UPS,CNRS,UMR 5549, Pavillon Baudot,BP 25202, F-31052 Toulouse, France
[3] INSERM, Toulouse, France
[4] Monash Univ, Biomed Discovery Inst, Dept Physiol, 26 Innovat Walk, Clayton, Vic 3800, Australia
[5] Monash Univ Node, Australian Res Council, Ctr Excellence Integrat Brain Funct, Clayton, Vic 3800, Australia
来源
BRAIN STRUCTURE & FUNCTION | 2019年 / 224卷 / 05期
基金
澳大利亚研究理事会;
关键词
MRI; New world monkey; Mapping; Template; Cortex; POSITRON-EMISSION-TOMOGRAPHY; MONKEY CALLITHRIX-JACCHUS; PRIMARY VISUAL-CORTEX; COMMON MARMOSET; FRONTAL-CORTEX; POSTNATAL-DEVELOPMENT; PREFRONTAL CORTEX; PERFORMANCE; PROJECTIONS; BIOLOGY;
D O I
10.1007/s00429-019-01869-x
中图分类号
R602 [外科病理学、解剖学]; R32 [人体形态学];
学科分类号
100101 ;
摘要
We created a volumetric template of the marmoset (Callithrix jacchus) brain, which enables localization of the cortical areas defined in the Paxinos et al. (The marmoset brain in stereotaxic coordinates. Elsevier Academic Press, Cambridge, 2012) marmoset brain atlas, as well as seven broader cortical regions (occipital, temporal, parietal, prefrontal, motor, limbic, insular), different brain compartments (white matter, gray matter, cerebro-spinal fluid including ventricular spaces), and various other structures (brain stem, cerebellum, olfactory bulb, hippocampus). The template was designed from T-1-weighted MR images acquired using a 3 T MRI scanner. It was based on a single fully segmented marmoset brain image, which was transported onto the mean of 13 adult marmoset brain images using a diffeomorphic strategy that fully preserves the brain topology. In addition, we offer an automatic segmentation pipeline which fully exploits the proposed template. The segmentation pipeline was quantitatively assessed by comparing the results of manual and automated segmentations. An associated program, written in Python, can be used from a command-line interface, or used interactively as a module of the 3DSlicer software. This program can be applied to the analysis of multimodal images, to map specific cortical areas in lesions or to define the seeds for further tractography analyses.
引用
收藏
页码:1957 / 1969
页数:13
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