Morphometricity as a measure of the neuroanatomical signature of a trait

Sabuncu Mert R.; Ge Tian; Holmes Avram J.Smoller Jordan W.Buckner Randy L.Fischl Bruce

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Morphometricity as a measure of the neuroanatomical signature of a trait

机译：Morphometricity as a measure of the neuroanatomical signature of a trait

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摘要

Complex physiological and behavioral traits, including neurological and psychiatric disorders, often associate with distributed anatomical variation. This paper introduces a global metric, called morphometricity, as a measure of the anatomical signature of different traits. Morphometricity is defined as the proportion of phenotypic variation that can be explained by macroscopic brain morphology. We estimate morphometricity via a linear mixed-effects model that uses an anatomical similarity matrix computed based on measurements derived from structural brain MRI scans. We examined over 3,800 unique MRI scans from nine large-scale studies to estimate the morphometricity of a range of phenotypes, including clinical diagnoses such as Alzheimer's disease, and non-clinical traits such as measures of cognition. Our results demonstrate that morphometricity can provide novel insights about the neuroanatomical correlates of a diverse set of traits, revealing associations that might not be detectable through traditional statistical techniques.

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《Proceedings of the National Academy of Sciences of the United States of America.》 |2016年第39期|E5749-E5756|共8页
作者
Sabuncu Mert R.; Ge Tian; Holmes Avram J.Smoller Jordan W.Buckner Randy L.Fischl Bruce;
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作者单位

Massachusetts Gen Hosp, Dept Radiol, Athinoula A Martinos Ctr Biomed Imaging, Charlestown, MA 02129 USA;

Massachusetts Gen Hosp, Psychiat & Neurodev Genet Unit, Ctr Human Genet Res, Boston, MA 02114 USA;

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收录信息美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
原文格式 PDF
正文语种英语
中图分类自然科学总论;
关键词
neuroimaging; brain morphology; statistical association;

Morphometricity as a measure of the neuroanatomical signature of a trait

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