Sample sizes and population differences in brain template construction

Yang, Guoyuan; Zhou, Sizhong; Božek, Jelena; Dong, Hao-Ming; Han, Meizhen; Zuo, Xi‐Nian; Liu, Hesheng; Gao, Jia‐Hong

doi:10.1016/j.neuroimage.2019.116318

Cited by 53 publications

(51 citation statements)

References 40 publications

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“…Previous studies have reported significant cortical surface morphology differences (e.g., gray matter cortical volume, cortical surface area, and cortical thickness) between Chinese and Caucasian brains (Chee, Zheng, Goh, Park, & Sutton, ; Kochunov et al, ; Tang et al, ). Visual assessment of our results showed that the sCN200 cortical surface templates are shorter in length and slightly greater in height than the sUS200 cortical surface templates, which is consistent with previous studies that reported differences between Chinese and Caucasian volumetric measures (Tang et al, ; Yang et al, ). Furthermore, the default network exhibited the greatest differences in the absolute areal distortion in both test sets when the CHCP and HCP test sets were respectively registered to the population‐matched and population‐mismatched brain templates.…”

Section: Discussionsupporting

confidence: 92%

“…Prior volumetric template studies note the template variability across populations (Yang et al, ; Zhao et al, ). In our previous volumetric templates study (Yang et al, ), the volumes from all subjects that were used to construct the Chinese template were rigidly aligned to the ICBM152 space. Using only rigid alignment for the initialization retained the Chinese global shape in the final template and removed the bias toward the ICBM152 space.…”

Section: Discussionmentioning

confidence: 99%

“…Volumetric templates of different populations, namely, Chinese and Caucasian, were constructed, and the differences between them were well studied (Evans, Janke, Collins, & Baillet, ; Lancaster et al, ; Luo et al, ; Richards, Sanchez, Phillips‐Meek, & Xie, ; Shi et al, ; Tang et al, ; Zhao et al, ). Furthermore, previous studies have shown that adopting a population‐matched volumetric brain template can reduce the variability of spatial deformation during image registration and help retain more characteristics of an individual brain (Xie, Richards, Lei, Lee, & Gong, ; Yang et al, ; Yoon, Fonov, Perusse, Evans, & the Brain Development Cooperative, ). Indeed, several previous studies on the cross‐cultural analysis of brain mapping have illustrated significant differences in brain functions across populations (Ge et al, ; Jacob et al, ; Zhang et al, ).…”

Section: Introductionmentioning

confidence: 99%

“…However, these studies analyzed Asian participants based on the Caucasian brain template, inducing registration bias. Thus, to reduce this bias, population‐matched volumetric templates have been proposed and constructed (Tang et al, ; Yang et al, ; Zhao et al, ).…”

Section: Introductionmentioning

confidence: 99%

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Constructing and evaluating a cortical surface atlas and analyzing cortical sex differences in young Chinese adults

Yang

Božek

Han

et al. 2020

Human Brain Mapping

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Cortical surface templates are an important standardized coordinate frame for cortical structure and function analysis in magnetic resonance (MR) imaging studies. The widely used adult cortical surface templates (e.g., fsaverage, Conte69, and the HCP-MMP atlas) are based on the Caucasian population. Neuroanatomical differences related to environmental and genetic factors between Chinese and Caucasian populations make these templates unideal for analysis of the cortex in the Chinese population. We used a multimodal surface matching algorithm in an iterative procedure to create Chinese (sCN200) and Caucasian (sUS200) cortical surface atlases based on 200 demographically matched high-quality T1-and T2-weighted (T1w and T2w, respectively) MR images from the Chinese Human Connectome Project (CHCP) and the Human Connectome Project (HCP), respectively. Templates for anatomical cortical surfaces (white matter, pial, midthickness) and cortical feature maps of sulcal depth, curvature, thickness, T1w/T2w myelin, and cortical labels were generated.Using independent subsets from the CHCP and the HCP, we quantified the accuracy of cortical registration when using population-matched and mismatched atlases. The performance of the cortical registration and accuracy of curvature alignment when using population-matched atlases was significantly improved, thereby demonstrating the importance of using the sCN200 cortical surface atlas for Chinese adult population studies. Finally, we analyzed female and male cortical differences within the Chinese and Caucasian populations. We identified significant between-sex differences in cortical curvature, sulcal depth, thickness, and T1w/T2w myelin maps in the frontal, temporal, parietal, occipital, and insular lobes as well as the cingulate cortices. K E Y W O R D S CHCP, Chinese adult, cortical surface templates, HCP, MRI, MSM

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Constructing and evaluating a cortical surface atlas and analyzing cortical sex differences in young Chinese adults

Yang

Božek

Han

et al. 2020

Human Brain Mapping

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“…The wide variety of brain structural patterns in any group, even in an apparently homogeneous one, is also worth commenting on. This inherent variability affects both the creation and utilization of brain templates [Yang et al, 2020]. In any population brain structures can vary to the degree of having different numbers of sulci in the same region (e.g., [Thompson et al, 1996] and op cit ); this is true even in a group of controls who are highly localized, genetically related, similar age and background, etc.…”

Section: Discussionmentioning

confidence: 99%

A series of five population-specific Indian brain templates and atlases spanning ages 6 to 60 years

Holla

Taylor

Glen

et al. 2020

Preprint

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24Anatomical brain templates are commonly used as references in neurological MRI studies, for 25 bringing data into a common space for group level statistics and coordinate reporting. Having 26 a group representative template increases the accuracy of alignment, improves statistics and 27 decreases distortions (as well as potential biases) in final coordinate reports. Given the inherent 28 variability in brain morphology across age and geography, it is important to have templates 29 that are as representative as possible for both age and population. In this study, we developed 30 and validated a new set of T1w Indian brain templates (IBT) from a large number of subjects 31 (total n=466) across different Indian states and acquired at multiple 3T MRI sites. A new 32 tool in AFNI, make_template_dask.py, which uses the Dask python parallelization library, was 33 created to efficiently make a template from a group of subjects. A total of five age-specific 34 1 categories of IBTs [ages 6-11 yrs (C1), 12-18 yrs (C2), 19-25 yrs (C3), 26-40 yrs (C4), and 35 41-60 yrs (C5)], as well as maximum probability map (MPM) atlases for each template were 36 generated; for each age group's template-atlas pair, there is both a "population average" and a 37 "typical" version. Validation experiments on an independent Indian structural and functional 38 MRI dataset show the appropriateness of IBTs for spatial normalization of Indian brains. The 39 results indicate significant structural differences when comparing the IBTs and MNI template, 40 with these differences being maximal along the Anterior-Posterior and Inferior-Superior axes, 41 but minimal Left-Right. For each age group, the MPM brain atlases provide reasonably good 42 representation of the native-space volumes in the IBT space, except in a few regions with high 43 inter-subject variability as indicated by high mean deformation value. These findings provide 44 evidence to support the use of age and population-specific templates in human brain mapping 45 studies. These templates, with corresponding atlases and tools, are publicly available on the 46 NIMHANS and AFNI websites. 47Keywords: MRI, brain template, brain atlases, maximum probability map 48 1 Introduction 49The shape, size and volume of the human brain is highly variable across individuals, as well as across 50 age, gender and geographical location or ethnicity. This fact is of prime importance in neuroimaging 51 group studies, where the brains of all subjects are typically aligned to a single template space for 52 data analysis and for the reporting of findings where analogous anatomical structures are mapped 53 on to the same coordinate location across the subjects. A brain template provides a standard 54 3D coordinate frame to combine and/or compare data from many subjects, across different imaging 55 modalities, structural or functional and even different laboratories around the world. The properties 56 of the template (size, shape, tissue contrast, etc.) directly affect the quality of alignment. 57An early brai...

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A series of five population‐specific Indian brain templates and atlases spanning ages 6–60 years

Holla

Taylor²,

Glen³

et al. 2020

Human Brain Mapping

View full text Add to dashboard Cite

Anatomical brain templates are commonly used as references in neurological MRI studies, for bringing data into a common space for group-level statistics and coordinate reporting. Given the inherent variability in brain morphology across age and geography, it is important to have templates that are as representative as possible for both age and population. A representative-template increases the accuracy of alignment, decreases distortions as well as potential biases in final coordinate reports. In this study, we developed and validated a new set of T1w Indian brain templates (IBT) from a large number of brain scans (total n = 466) acquired across different locations and multiple 3T MRI scanners in India. A new tool in AFNI, make_template_dask.py, was created to efficiently make five age-specific IBTs (ages 6-60 years) as well as maximum probability map (MPM) atlases for each template; for each age-group's template-atlas pair, there is both a "population-average" and a "typical" version. Validation experiments on an independent Indian structural and functional-MRI Bharath Holla and Paul A. Taylor are the equally contributing authors.

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Sample sizes and population differences in brain template construction

Cited by 53 publications

References 40 publications

Constructing and evaluating a cortical surface atlas and analyzing cortical sex differences in young Chinese adults

Constructing and evaluating a cortical surface atlas and analyzing cortical sex differences in young Chinese adults

A series of five population-specific Indian brain templates and atlases spanning ages 6 to 60 years

A series of five population‐specific Indian brain templates and atlases spanning ages 6–60 years

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