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

Yang, Guoyuan; Božek, Jelena; Han, Meizhen; Gao, Jia‐Hong

doi:10.1002/hbm.24960

Cited by 21 publications

(9 citation statements)

References 68 publications

(100 reference statements)

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“…In young adults (ages 20-34 years), VBM has revealed larger total normalized gray matter volume (total gray matter volume/total ICV) but also a faster rate of age-related decline in normalized gray matter volume in females (n = 71) than males (n = 71) (Farokhian, Yang, Beheshti, Matsuda, & Wu, 2017). Yang, Bozek, Han, and Gao (2020) revealed sex differences in several different cortical gray matter features, including sulcal depth and cortical thickness, in young adults (ages 19-37) from the Chinese and U.S. Human Connectome Project (HCP) cohorts using sample-specific surface templates based on FreeSurfer segmentations from 35 Desikan-Killiany (DK) and 75 Destrieux atlas structures in each hemisphere. In the Chinese HCP, males (n = 100) exhibited greater cortical thickness than females (n = 100) in the frontal, temporal, and parietal lobes after correcting for age and ICV, whereas in the U.S. HCP, males (n = 100) exhibited lower thickness than females in the caudal anterior cingulate cortex (ACC), but greater thickness in the insula, lateral orbitofrontal cortex (OFC), and the isthmus of the cingulate than females (n = 100).…”

Section: Brain Size Metrics and Gray Mattermentioning

confidence: 99%

Sex is a defining feature of neuroimaging phenotypes in major brain disorders

Salminen

Tubi

Bright

et al. 2021

Human Brain Mapping

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Sex is a biological variable that contributes to individual variability in brain structure and behavior. Neuroimaging studies of population-based samples have identified normative differences in brain structure between males and females, many of which are exacerbated in psychiatric and neurological conditions. Still, sex differences in MRI outcomes are understudied, particularly in clinical samples with known sex differences in disease risk, prevalence, and expression of clinical symptoms. Here we review the existing literature on sex differences in adult brain structure in normative samples and in 14 distinct psychiatric and neurological disorders. We discuss commonalities and sources of variance in study designs, analysis procedures, disease subtype effects, and the impact of these factors on MRI interpretation. Lastly, we identify key problems in the neuroimaging literature on sex differences and offer potential recommendations to address current barriers and optimize rigor and reproducibility. In particular, we emphasize the importance of large-scale neuroimaging initiatives such as the Enhancing NeuroImaging Genetics through Meta-Analyses consortium, the UK Biobank, Human Connectome Project, and others to provide unprecedented power to evaluate sex-specific phenotypes in major brain diseases.

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Section: Brain Size Metrics and Gray Mattermentioning

confidence: 99%

Sex is a defining feature of neuroimaging phenotypes in major brain disorders

Salminen

Tubi

Bright

et al. 2021

Human Brain Mapping

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show abstract

“…In young adults, voxel-based morphometry (VBM) has revealed larger total gray matter volume in females than males after adjusting for intracranial volume (ICV), but a faster rate of age-related decline in gray matter volume in females than males [Farokhian et al, 2017]. Yang et al [2020] revealed sex differences in cortical gray matter in 500 young adults (aged 19-37) from the Chinese and US HCP cohorts (N=250 each).…”

Section: Normative Sex Differences In Human Brain Structurementioning

confidence: 99%

Sex is a defining feature of neuroimaging phenotypes in major brain disorders

Salminen¹,

Tubi²,

Bright³

et al. 2020

Preprint

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Sex differences are found in the incidence and expression of psychiatric and neurodegenerative conditions, and many studies suggest these differences are influenced by innate biological differences between males and females and risk factors that interact with these differences. However, few studies have used neuroimaging to examine brain signatures of disease separately by sex, and many studies of sex differences have been based on small samples and their findings have not been replicated in larger cohorts. Large-scale neuroimaging initiatives such as the Enhancing NeuroImaging Genetics through Meta-Analyses (ENIGMA) consortium, the UK Biobank, Human Connectome Project, and others offer an unprecedented source of power to address important questions about the role of sex as a risk or protective factor for suboptimal brain health, as well as sex-specific neuroimaging phenotypes in brain-related illnesses. Here we review the existing neuroimaging literature on sex differences in the human brain in healthy adults and those with the most common and debilitating psychiatric and age-related neurodegenerative conditions. Finally, we discuss key gaps in this literature and opportunities of large-scale collaborative efforts to identify, characterize, and explain how biological sex influences the humanbrain in health and disease.

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“…Sulcal depth is also known to have high test-retest reliability across the brain ( 11 , 12 ). The few studies using this measure have provided evidence of regional differences between men and women ( 13 ) and have shown that sulci become more shallow with aging ( 14 , 15 ), yet this remains to be fully characterized.…”

Section: Introductionmentioning

confidence: 99%