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Quantile rank maps: A new tool for understanding individual brain development
Chen, Huaihou1; Kelly, Clare2; Castellanos, F. Xavier2,3; He, Ye4,5,6,7; Zuo, Xi-Nian5,6,7; Reiss, Philip T.2,3,8; Philip T. Reiss
2015-05-01
Source PublicationNEUROIMAGE
Correspondent Emailphil.reiss@nyumc.org
ISSN1053-8119
SubtypeArticle
Volume111Issue:1Pages:454-463
Contribution Rank4
Abstract

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.

KeywordBox-Cox transformation Generalized additive models for location scale and shape Quantile rank map MRI Resting-state fMRI Penalized B-splines
Subject Area认知神经科学
DOI10.1016/j.neuroimage.2014.12.082
URL查看原文
Indexed BySCI
Language英语
Funding OrganizationNational Institutes of Health; Chinese Academy of Sciences; National Natural Science Foundation
Funding ProjectNational Institutes of Health grant 1R01MH095836- 01A1;National Institutes of Health grant R33MH086952; Hundred Talents Program and the Key Research Program (KSZD-EW-TZ- 002) of the Chinese Academy of Sciences; Major Joint Fund for International Cooperation and Exchange of the National Natural Science Foundation (81220108014, XNZ)
WOS IDWOS:000352224100040
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/10190
Collection认知与发展心理学研究室
Corresponding AuthorPhilip T. Reiss
Affiliation1.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
Recommended Citation
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.,...&Philip T. Reiss.(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.
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