中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Quantile rank maps: A new tool for understanding individual brain development

文献类型:期刊论文

作者Chen, Huaihou1; Kelly, Clare2; Castellanos, F. Xavier2,3; He, Ye4,5,6,7; Zuo, Xi-Nian5,6,7; Reiss, Philip T.2,3,8
刊名NEUROIMAGE
出版日期2015-05-01
卷号111期号:1页码:454-463
通讯作者邮箱phil.reiss@nyumc.org
关键词Box-Cox transformation Generalized additive models for location scale and shape Quantile rank map MRI Resting-state fMRI Penalized B-splines
ISSN号1053-8119
产权排序4
通讯作者Philip T. Reiss
合作状况国际
中文摘要We propose a novel method for neurodevelopmental brain mapping that displays how an individual’s values for a quantity of interest compare with age-specific norms. By estimating smoothly age-varying distributions at a set of brain regions of interest, we derive age-dependent region-wise quantile ranks for a given individual, which can be presented in the form of a brain map. Such quantile rank maps could potentially be used for clinical screening. Bootstrap-based confidence intervals are proposed for the quantile rank estimates. We also propose a recalibrated Kolmogorov-Smirnov test for detecting group differences in the age-varying distribution. This test is shown to be more robust to model misspecification than a linear regression-based t-test. The proposed methods are applied to brain imaging data from the Nathan Kline Institute Rockland Sample and from the Autism Brain Imaging Data Exchange (ABIDE) sample.
英文摘要We propose a novel method for neurodevelopmental brain mapping that displays how an individual's values for a quantity of interest compare with age-specific norms. By estimating smoothly age-varying distributions at a set of brain regions of interest, we derive age-dependent region-wise quantile ranks for a given individual, which can be presented in the form of a brain map. Such quantile rank maps could potentially be used for clinical screening. Bootstrap-based confidence intervals are proposed for the quantile rank estimates. We also propose a recalibrated Kolmogorov-Smirnov test for detecting group differences in the age-varying distribution. This test is shown to be more robust to model misspecification than a linear regression-based test. The proposed methods are applied to brain imaging data from the Nathan Kline Institute Rockland Sample and from the Autism Brain Imaging Data Exchange (ABIDE) sample. (C) 2015 Elsevier Inc. All rights reserved.
学科主题认知神经科学
收录类别SCI
资助信息National Institutes of Health; Chinese Academy of Sciences; National Natural Science Foundation
原文出处http://www.sciencedirect.com/science/article/pii/S1053811915000130
语种英语
WOS记录号WOS:000352224100040
公开日期2015-01-23
源URL[http://ir.psych.ac.cn/handle/311026/10190]  
专题心理研究所_认知与发展心理学研究室
作者单位1.Univ Florida, Coll Med, Coll Publ Hlth & Hlth Profess, Dept Biostat, Gainesville, FL USA
2.NYU, Sch Med, Dept Child & Adolescent Psychiat, New York, NY 10016 USA
3.Nathan S Kline Inst Psychiat Res, Orangeburg, NY 10962 USA
4.Univ Chinese Acad Sci, Beijing, Peoples R China
5.Chinese Acad Sci, Key Lab Behav Sci, Beijing 100101, Peoples R China
6.Chinese Acad Sci, Inst Psychol, Magnet Resonance Imaging Res Ctr, Beijing 100101, Peoples R China
7.Chinese Acad Sci, Inst Psychol, Lab Funct Connectome & Dev, Beijing 100101, Peoples R China
8.NYU, Sch Med, Dept Populat Hlth, New York, NY USA
推荐引用方式
GB/T 7714
Chen, Huaihou,Kelly, Clare,Castellanos, F. Xavier,et al. Quantile rank maps: A new tool for understanding individual brain development[J]. NEUROIMAGE,2015,111(1):454-463.
APA Chen, Huaihou,Kelly, Clare,Castellanos, F. Xavier,He, Ye,Zuo, Xi-Nian,&Reiss, Philip T..(2015).Quantile rank maps: A new tool for understanding individual brain development.NEUROIMAGE,111(1),454-463.
MLA Chen, Huaihou,et al."Quantile rank maps: A new tool for understanding individual brain development".NEUROIMAGE 111.1(2015):454-463.

入库方式: OAI收割

来源:心理研究所

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