Literature DB >> 29578031

The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development.

Brittany R Howell1, Martin A Styner2, Wei Gao3, Pew-Thian Yap4, Li Wang4, Kristine Baluyot4, Essa Yacoub5, Geng Chen4, Taylor Potts4, Andrew Salzwedel6, Gang Li4, John H Gilmore2, Joseph Piven7, J Keith Smith8, Dinggang Shen4, Kamil Ugurbil5, Hongtu Zhu9, Weili Lin10, Jed T Elison11.   

Abstract

The human brain undergoes extensive and dynamic growth during the first years of life. The UNC/UMN Baby Connectome Project (BCP), one of the Lifespan Connectome Projects funded by NIH, is an ongoing study jointly conducted by investigators at the University of North Carolina at Chapel Hill and the University of Minnesota. The primary objective of the BCP is to characterize brain and behavioral development in typically developing infants across the first 5 years of life. The ultimate goals are to chart emerging patterns of structural and functional connectivity during this period, map brain-behavior associations, and establish a foundation from which to further explore trajectories of health and disease. To accomplish these goals, we are combining state of the art MRI acquisition and analysis techniques, including high-resolution structural MRI (T1-and T2-weighted images), diffusion imaging (dMRI), and resting state functional connectivity MRI (rfMRI). While the overall design of the BCP largely is built on the protocol developed by the Lifespan Human Connectome Project (HCP), given the unique age range of the BCP cohort, additional optimization of imaging parameters and consideration of an age appropriate battery of behavioral assessments were needed. Here we provide the overall study protocol, including approaches for subject recruitment, strategies for imaging typically developing children 0-5 years of age without sedation, imaging protocol and optimization, a description of the battery of behavioral assessments, and QA/QC procedures. Combining HCP inspired neuroimaging data with well-established behavioral assessments during this time period will yield an invaluable resource for the scientific community.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Baby connectome project; Behavior; DTI; Infancy; Lifespan connectome project; MRI; Neurodevelopment; dMRI; rfMRI

Mesh:

Year:  2018        PMID: 29578031      PMCID: PMC6151176          DOI: 10.1016/j.neuroimage.2018.03.049

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


  124 in total

1.  The Children's Social Understanding Scale: construction and validation of a parent-report measure for assessing individual differences in children's theories of mind.

Authors:  Deniz Tahiroglu; Louis J Moses; Stephanie M Carlson; Caitlin E V Mahy; Eric L Olofson; Mark A Sabbagh
Journal:  Dev Psychol       Date:  2014-09-29

2.  Quantitative magnetic resonance imaging of brain development in premature and mature newborns.

Authors:  P S Hüppi; S Warfield; R Kikinis; P D Barnes; G P Zientara; F A Jolesz; M K Tsuji; J J Volpe
Journal:  Ann Neurol       Date:  1998-02       Impact factor: 10.422

3.  Unbiased average age-appropriate atlases for pediatric studies.

Authors:  Vladimir Fonov; Alan C Evans; Kelly Botteron; C Robert Almli; Robert C McKinstry; D Louis Collins
Journal:  Neuroimage       Date:  2010-07-23       Impact factor: 6.556

4.  Associations between white matter microstructure and infants' working memory.

Authors:  Sarah J Short; Jed T Elison; Barbara Davis Goldman; Martin Styner; Hongbin Gu; Mark Connelly; Eric Maltbie; Sandra Woolson; Weili Lin; Guido Gerig; J Steven Reznick; John H Gilmore
Journal:  Neuroimage       Date:  2012-09-16       Impact factor: 6.556

5.  Dynamic Development of Regional Cortical Thickness and Surface Area in Early Childhood.

Authors:  Amanda E Lyall; Feng Shi; Xiujuan Geng; Sandra Woolson; Gang Li; Li Wang; Robert M Hamer; Dinggang Shen; John H Gilmore
Journal:  Cereb Cortex       Date:  2014-03-02       Impact factor: 5.357

6.  T(2) relaxometry of normal pediatric brain development.

Authors:  Ilana R Leppert; C Robert Almli; Robert C McKinstry; Robert V Mulkern; Carlo Pierpaoli; Michael J Rivkin; G Bruce Pike
Journal:  J Magn Reson Imaging       Date:  2009-02       Impact factor: 4.813

7.  Infant brain atlases from neonates to 1- and 2-year-olds.

Authors:  Feng Shi; Pew-Thian Yap; Guorong Wu; Hongjun Jia; John H Gilmore; Weili Lin; Dinggang Shen
Journal:  PLoS One       Date:  2011-04-14       Impact factor: 3.240

8.  An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging.

Authors:  Jesper L R Andersson; Stamatios N Sotiropoulos
Journal:  Neuroimage       Date:  2015-10-20       Impact factor: 6.556

9.  Thalamocortical Connectivity Predicts Cognition in Children Born Preterm.

Authors:  Gareth Ball; Libuse Pazderova; Andrew Chew; Nora Tusor; Nazakat Merchant; Tomoki Arichi; Joanna M Allsop; Frances M Cowan; A David Edwards; Serena J Counsell
Journal:  Cereb Cortex       Date:  2015-01-16       Impact factor: 5.357

10.  Joint Attention and Brain Functional Connectivity in Infants and Toddlers.

Authors:  Adam T Eggebrecht; Jed T Elison; Eric Feczko; Alexandre Todorov; Jason J Wolff; Sridhar Kandala; Chloe M Adams; Abraham Z Snyder; John D Lewis; Annette M Estes; Lonnie Zwaigenbaum; Kelly N Botteron; Robert C McKinstry; John N Constantino; Alan Evans; Heather C Hazlett; Stephen Dager; Sarah J Paterson; Robert T Schultz; Martin A Styner; Guido Gerig; Samir Das; Penelope Kostopoulos; Bradley L Schlaggar; Steven E Petersen; Joseph Piven; John R Pruett
Journal:  Cereb Cortex       Date:  2017-03-01       Impact factor: 5.357

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  86 in total

1.  TRActs constrained by UnderLying INfant anatomy (TRACULInA): An automated probabilistic tractography tool with anatomical priors for use in the newborn brain.

Authors:  Lilla Zöllei; Camilo Jaimes; Elie Saliba; P Ellen Grant; Anastasia Yendiki
Journal:  Neuroimage       Date:  2019-05-24       Impact factor: 6.556

Review 2.  Role of deep learning in infant brain MRI analysis.

Authors:  Mahmoud Mostapha; Martin Styner
Journal:  Magn Reson Imaging       Date:  2019-06-20       Impact factor: 2.546

3.  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

4.  Safety and Feasibility of Transcranial Magnetic Stimulation as an Exploratory Assessment of Corticospinal Connectivity in Infants After Perinatal Brain Injury: An Observational Study.

Authors:  Samuel T Nemanich; Chao-Ying Chen; Mo Chen; Elizabeth Zorn; Bryon Mueller; Colleen Peyton; Jed T Elison; James Stinear; Raghu Rao; Michael Georgieff; Jeremiah Menk; Kyle Rudser; Bernadette Gillick
Journal:  Phys Ther       Date:  2019-06-01

5.  Associations of gestational age and birth anthropometric indicators with brain white matter maturation in full-term neonates.

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Journal:  Hum Brain Mapp       Date:  2019-05-06       Impact factor: 5.038

6.  Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.

Authors:  Li Wang; Dong Nie; Guannan Li; Elodie Puybareau; Jose Dolz; Qian Zhang; Fan Wang; Jing Xia; Zhengwang Wu; Jiawei Chen; Kim-Han Thung; Toan Duc Bui; Jitae Shin; Guodong Zeng; Guoyan Zheng; Vladimir S Fonov; Andrew Doyle; Yongchao Xu; Pim Moeskops; Josien P W Pluim; Christian Desrosiers; Ismail Ben Ayed; Gerard Sanroma; Oualid M Benkarim; Adria Casamitjana; Veronica Vilaplana; Weili Lin; Gang Li; Dinggang Shen
Journal:  IEEE Trans Med Imaging       Date:  2019-02-27       Impact factor: 10.048

Review 7.  The Heterogeneity Problem: Approaches to Identify Psychiatric Subtypes.

Authors:  Eric Feczko; Oscar Miranda-Dominguez; Mollie Marr; Alice M Graham; Joel T Nigg; Damien A Fair
Journal:  Trends Cogn Sci       Date:  2019-05-29       Impact factor: 20.229

8.  Multi-Site Harmonization of Diffusion MRI Data via Method of Moments.

Authors:  Khoi Minh Huynh; Geng Chen; Ye Wu; Dinggang Shen; Pew-Thian Yap
Journal:  IEEE Trans Med Imaging       Date:  2019-01-24       Impact factor: 10.048

9.  In vivo magnetic resonance imaging and spectroscopy. Technological advances and opportunities for applications continue to abound.

Authors:  Peter van Zijl; Linda Knutsson
Journal:  J Magn Reson       Date:  2019-07-09       Impact factor: 2.229

10.  Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks.

Authors:  Geng Chen; Yoonmi Hong; Yongqin Zhang; Jaeil Kim; Khoi Minh Huynh; Jiquan Ma; Weili Lin; Dinggang Shen; Pew-Thian Yap
Journal:  Med Image Comput Comput Assist Interv       Date:  2020-09-29
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