Literature DB >> 25937488

The Pediatric Imaging, Neurocognition, and Genetics (PING) Data Repository.

Terry L Jernigan1, Timothy T Brown2, Donald J Hagler3, Natacha Akshoomoff4, Hauke Bartsch5, Erik Newman4, Wesley K Thompson6, Cinnamon S Bloss7, Sarah S Murray8, Nicholas Schork9, David N Kennedy10, Joshua M Kuperman3, Connor McCabe11, Yoonho Chung12, Ondrej Libiger7, Melanie Maddox13, B J Casey14, Linda Chang15, Thomas M Ernst15, Jean A Frazier10, Jeffrey R Gruen16, Elizabeth R Sowell17, Tal Kenet18, Walter E Kaufmann19, Stewart Mostofsky20, David G Amaral21, Anders M Dale22.   

Abstract

The main objective of the multi-site Pediatric Imaging, Neurocognition, and Genetics (PING) study was to create a large repository of standardized measurements of behavioral and imaging phenotypes accompanied by whole genome genotyping acquired from typically-developing children varying widely in age (3 to 20 years). This cross-sectional study produced sharable data from 1493 children, and these data have been described in several publications focusing on brain and cognitive development. Researchers may gain access to these data by applying for an account on the PING portal and filing a data use agreement. Here we describe the recruiting and screening of the children and give a brief overview of the assessments performed, the imaging methods applied, the genetic data produced, and the numbers of cases for whom different data types are available. We also cite sources of more detailed information about the methods and data. Finally we describe the procedures for accessing the data and for using the PING data exploration portal.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 25937488      PMCID: PMC4628902          DOI: 10.1016/j.neuroimage.2015.04.057

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  44 in total

1.  A human genome diversity cell line panel.

Authors:  Howard M Cann; Claudia de Toma; Lucien Cazes; Marie-Fernande Legrand; Valerie Morel; Laurence Piouffre; Julia Bodmer; Walter F Bodmer; Batsheva Bonne-Tamir; Anne Cambon-Thomsen; Zhu Chen; J Chu; Carlo Carcassi; Licinio Contu; Ruofu Du; Laurent Excoffier; G B Ferrara; Jonathan S Friedlaender; Helena Groot; David Gurwitz; Trefor Jenkins; Rene J Herrera; Xiaoyi Huang; Judith Kidd; Kenneth K Kidd; Andre Langaney; Alice A Lin; S Qasim Mehdi; Peter Parham; Alberto Piazza; Maria Pia Pistillo; Yaping Qian; Qunfang Shu; Jiujin Xu; S Zhu; James L Weber; Henry T Greely; Marcus W Feldman; Gilles Thomas; Jean Dausset; L Luca Cavalli-Sforza
Journal:  Science       Date:  2002-04-12       Impact factor: 47.728

2.  Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

Authors:  Bruce Fischl; David H Salat; Evelina Busa; Marilyn Albert; Megan Dieterich; Christian Haselgrove; Andre van der Kouwe; Ron Killiany; David Kennedy; Shuna Klaveness; Albert Montillo; Nikos Makris; Bruce Rosen; Anders M Dale
Journal:  Neuron       Date:  2002-01-31       Impact factor: 17.173

3.  Geometrically accurate topology-correction of cortical surfaces using nonseparating loops.

Authors:  Florent Ségonne; Jenni Pacheco; Bruce Fischl
Journal:  IEEE Trans Med Imaging       Date:  2007-04       Impact factor: 10.048

4.  Genetic topography of brain morphology.

Authors:  Chi-Hua Chen; Mark Fiecas; E D Gutiérrez; Matthew S Panizzon; Lisa T Eyler; Eero Vuoksimaa; Wesley K Thompson; Christine Fennema-Notestine; Donald J Hagler; Terry L Jernigan; Michael C Neale; Carol E Franz; Michael J Lyons; Bruce Fischl; Ming T Tsuang; Anders M Dale; William S Kremen
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-30       Impact factor: 11.205

5.  A nonparametric method for automatic correction of intensity nonuniformity in MRI data.

Authors:  J G Sled; A P Zijdenbos; A C Evans
Journal:  IEEE Trans Med Imaging       Date:  1998-02       Impact factor: 10.048

6.  Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system.

Authors:  B Fischl; M I Sereno; A M Dale
Journal:  Neuroimage       Date:  1999-02       Impact factor: 6.556

7.  Correlation analysis of genetic admixture and social identification with body mass index in a Native American community.

Authors:  Trina M Norden-Krichmar; Ian R Gizer; Ondrej Libiger; Kirk C Wilhelmsen; Cindy L Ehlers; Nicholas J Schork
Journal:  Am J Hum Biol       Date:  2014-02-17       Impact factor: 1.937

Review 8.  Admixture and clinical phenotypic variation.

Authors:  Laura H Goetz; Liliana Uribe-Bruce; Danjuma Quarless; Ondrej Libiger; Nicholas J Schork
Journal:  Hum Hered       Date:  2014-07-29       Impact factor: 0.444

9.  Neuroanatomical assessment of biological maturity.

Authors:  Timothy T Brown; Joshua M Kuperman; Yoonho Chung; Matthew Erhart; Connor McCabe; Donald J Hagler; Vijay K Venkatraman; Natacha Akshoomoff; David G Amaral; Cinnamon S Bloss; B J Casey; Linda Chang; Thomas M Ernst; Jean A Frazier; Jeffrey R Gruen; Walter E Kaufmann; Tal Kenet; David N Kennedy; Sarah S Murray; Elizabeth R Sowell; Terry L Jernigan; Anders M Dale
Journal:  Curr Biol       Date:  2012-08-16       Impact factor: 10.834

10.  Efficient correction of inhomogeneous static magnetic field-induced distortion in Echo Planar Imaging.

Authors:  Dominic Holland; Joshua M Kuperman; Anders M Dale
Journal:  Neuroimage       Date:  2009-11-26       Impact factor: 6.556

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  112 in total

1.  Lower total and regional grey matter brain volumes in youth with perinatally-acquired HIV infection: Associations with HIV disease severity, substance use, and cognition.

Authors:  C Paula Lewis-de Los Angeles; Paige L Williams; Yanling Huo; Shirlene D Wang; Kristina A Uban; Megan M Herting; Kathleen Malee; Ram Yogev; John G Csernansky; Sharon Nichols; Russell B Van Dyke; Elizabeth R Sowell; Lei Wang
Journal:  Brain Behav Immun       Date:  2017-01-10       Impact factor: 7.217

2.  Developmental trajectories of the human embryologic brain regions.

Authors:  Kumiko Oishi; Jill Chotiyanonta; Dan Wu; Michael I Miller; Susumu Mori; Kenichi Oishi
Journal:  Neurosci Lett       Date:  2019-06-19       Impact factor: 3.046

3.  Charting shared developmental trajectories of cortical thickness and structural connectivity in childhood and adolescence.

Authors:  Gareth Ball; Richard Beare; Marc L Seal
Journal:  Hum Brain Mapp       Date:  2019-07-16       Impact factor: 5.038

Review 4.  Through Thick and Thin: a Need to Reconcile Contradictory Results on Trajectories in Human Cortical Development.

Authors:  Kristine B Walhovd; Anders M Fjell; Jay Giedd; Anders M Dale; Timothy T Brown
Journal:  Cereb Cortex       Date:  2017-02-01       Impact factor: 5.357

5.  Heritability of Regional Brain Volumes in Large-Scale Neuroimaging and Genetic Studies.

Authors:  Bingxin Zhao; Joseph G Ibrahim; Yun Li; Tengfei Li; Yue Wang; Yue Shan; Ziliang Zhu; Fan Zhou; Jingwen Zhang; Chao Huang; Huiling Liao; Liuqing Yang; Paul M Thompson; Hongtu Zhu
Journal:  Cereb Cortex       Date:  2019-07-05       Impact factor: 5.357

6.  Age-Normative Pathways of Striatal Connectivity Related to Clinical Symptoms in the General Population.

Authors:  Anita D Barber; Deepak K Sarpal; Majnu John; Christina L Fales; Stewart H Mostofsky; Anil K Malhotra; Katherine H Karlsgodt; Todd Lencz
Journal:  Biol Psychiatry       Date:  2019-02-06       Impact factor: 13.382

7.  Brain Development Includes Linear and Multiple Nonlinear Trajectories: A Cross-Sectional Resting-State Functional Magnetic Resonance Imaging Study.

Authors:  Ashkan Faghiri; Julia M Stephen; Yu-Ping Wang; Tony W Wilson; Vince D Calhoun
Journal:  Brain Connect       Date:  2019-12

8.  Developmental score of the infant brain: characterizing diffusion MRI in term- and preterm-born infants.

Authors:  Dan Wu; Linda Chang; Thomas M Ernst; Brian S Caffo; Kenichi Oishi
Journal:  Brain Struct Funct       Date:  2020-08-17       Impact factor: 3.270

9.  Brain structure mediates the association between socioeconomic status and attention-deficit/hyperactivity disorder.

Authors:  Laura Machlin; Katie A McLaughlin; Margaret A Sheridan
Journal:  Dev Sci       Date:  2019-05-27

10.  Global Visual Motion Sensitivity: Associations with Parietal Area and Children's Mathematical Cognition.

Authors:  Oliver Braddick; Janette Atkinson; Erik Newman; Natacha Akshoomoff; Joshua M Kuperman; Hauke Bartsch; Chi-Hua Chen; Anders M Dale; Terry L Jernigan
Journal:  J Cogn Neurosci       Date:  2016-07-26       Impact factor: 3.225

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