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Quantile rank maps: a new tool for understanding individual brain development.

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.

journal_name

Neuroimage

journal_title

NeuroImage

authors

Chen H,Kelly C,Castellanos FX,He Y,Zuo XN,Reiss PT

doi

10.1016/j.neuroimage.2014.12.082

subject

Has Abstract

pub_date

2015-05-01 00:00:00

pages

454-63

eissn

1053-8119

issn

1095-9572

pii

S1053-8119(15)00013-0

journal_volume

111

pub_type

杂志文章

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