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Collection Summary Collection Charts
Collection Title Collection Investigators Collection Description
Fetal Programming of the Newborn and Infant Human Brain
Claudia Buss and Pathik D. Wadhwa 
We propose to conduct a prospective, longitudinal, follow-up study in a population-based cohort of children born to mothers who will participate in an NIH-funded study of biological and behavioral processes in pregnancy. We will have extensive characterization in this child cohort over the course of their intrauterine life and birth with all the prenatal measures required to address the above questions, including serial measures of the maternal-placental fetal endocrine and immune/inflammatory milieu, clinical measures of obstetric complications, laboratory results of clinical/diagnostic tests, measures of maternal sociodemographic, behavioral, and psychosocial characteristics, measures of the birth phenotype, and banked samples of maternal biologic tissue and extracted maternal and child DNA samples. We will recruit a sample of 120-140 children from this cohort at birth and follow them up until 12months age. We propose two major study assessments at T1= 2-4 weeks and T2= 12 months age. Our primary study outcomes, brain morphology (size of the hippocampus, amygdala and prefrontal cortex) will be derived from serial MRI scans, and white matter integrity (fractional anisotropy along major white matter tracts: corpus callosum genu and splenium tracts and uncinate fasciculus) will be derived from serial DTI scans. For all predictor variables (CRH, cortisol, IL-6 and TNF-alpha), the area under the curve (AUC) will be estimated using General Additive Models(GAM) via cubic B-splines, which will be used as the predictors for measures of brain morphology and white matter integrity. In order to determine if there are particular time points during pregnancy that represent sensitive periods in predicting size of HC, AG and PFC, polynomial distributed lag models will be employed. Infants mental and motor development will be assessed at concurrent time points (at T1 and T2) with the Bayley Scales of Infant Development. Mediation models will be applied to test whether alterations in the brain associated with MPF parameters account for the association between the same MPF parameters and BSID performance.demographics, DTI, T1, and T2 brain images for healthy 0 to 4 week old infants.
Enrollment Completed
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NIH - Extramural None


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To create a new Omics, eye tracking, fMRI, or EEG experiment, press the "+ New Experiment" button. Once an experiment is created, then raw files for these types of experiments should be provided, associating the experiment – through Experiment_ID – with the metadata defined in the experiments interface.

IDNameCreated DateStatusType
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Collection Owners and those with Collection Administrator permission, may edit a collection. The following is currently available for Edit on this page:

Shared Data

Data structures with the number of subjects submitted and shared are provided.

Image Imaging 111
Research Subject Clinical Assessments 65

Collection Owners and those with Collection Administrator permission, may edit a collection. The following is currently available for Edit on this page:


Publications relevant to NDAR data are listed below. Most displayed publications have been associated with the grant within Pubmed. Use the "+ New Publication" button to add new publications. Publications relevant/not relevant to data expected are categorized. Relevant publications are then linked to the underlying data by selecting the Create Study link. Study provides the ability to define cohorts, assign subjects, define outcome measures and lists the study type, data analysis and results. Analyzed data and results are expected in this way.

PubMed IDStudyTitleJournalAuthorsDateStatus
28433086Create StudyIntergenerational Transmission of Maternal Childhood Maltreatment Exposure: Implications for Fetal Brain Development.Journal of the American Academy of Child and Adolescent PsychiatryBuss C, Entringer S, Moog NK, Toepfer P, Fair DA, Simhan HN, Heim CM, Wadhwa PDMay 2017Not Relevant
28135691Create StudyAssessment of acculturation in minority health research.Social science & medicine (1982)Fox M, Thayer Z, Wadhwa PDMarch 2017Not Relevant
28027955Create StudyOxytocin pathways in the intergenerational transmission of maternal early life stress.Neuroscience and biobehavioral reviewsToepfer P, Heim C, Entringer S, Binder E, Wadhwa P, Buss CFebruary 2017Not Relevant
27988340Create StudyA novel maturation index based on neonatal diffusion tensor imaging reflects typical perinatal white matter development in humans.International journal of developmental neuroscience : the official journal of the International Society for Developmental NeuroscienceRasmussen JM, Kruggel F, Gilmore JH, Styner M, Entringer S, Consing KN, Potkin SG, Wadhwa PD, Buss CDecember 2016Not Determined
27900852Create StudyAssociation of ultrasound-based measures of fetal body composition with newborn adiposity.Pediatric obesityIkenoue S, Waffarn F, Sumiyoshi K, Ohashi M, Ikenoue C, Buss C, Gillen DL, Simhan HN, Entringer S, Wadhwa PDNovember 2016Not Determined
27235635Create StudyCorrespondence between hair cortisol concentrations and 30-day integrated daily salivary and weekly urinary cortisol measures.PsychoneuroendocrinologyShort SJ, Stalder T, Marceau K, Entringer S, Moog NK, Shirtcliff EA, Wadhwa PD, Buss CSeptember 2016Not Determined
27065227Create StudyAutotract: Automatic cleaning and tracking of fibers.Proceedings of SPIE--the International Society for Optical EngineeringPrieto JC, Yang JY, Budin F, Styner MFebruary 27, 2016Not Relevant
26716698Create StudyLongitudinal Metabolomic Profiling of Amino Acids and Lipids across Healthy Pregnancy.PloS oneLindsay KL, Hellmuth C, Uhl O, Buss C, Wadhwa PD, Koletzko B, Entringer S2015Not Determined
26612964Create StudyEarly Postnatal Myelin Content Estimate of White Matter via T1w/T2w Ratio.Proceedings of SPIE--the International Society for Optical EngineeringLee K, Cherel M, Budin F, Gilmore J, Consing KZ, Rasmussen J, Wadhwa PD, Entringer S, Glasser MF, Van Essen DC, Buss C, Styner M2015Not Determined
26499255Create StudyImplications of newborn amygdala connectivity for fear and cognitive development at 6-months-of-age.Developmental cognitive neuroscienceGraham AM, Buss C, Rasmussen JM, Rudolph MD, Demeter DV, Gilmore JH, Styner M, Entringer S, Wadhwa PD, Fair DAOctober 3, 2015Not Determined
26434624Create StudyInfluence of maternal thyroid hormones during gestation on fetal brain development.NeuroscienceMoog NK, Entringer S, Heim C, Wadhwa PD, Kathmann N, Buss COctober 3, 2015Not Determined
26372770Create StudyPrenatal stress, development, health and disease risk: A psychobiological perspective-2015 Curt Richter Award Paper.PsychoneuroendocrinologyEntringer S, Buss C, Wadhwa PDDecember 2015Not Determined
26089584Create StudyAutomatic Tissue Segmentation of Neonate Brain MR Images with Subject-specific Atlases.Proceedings of SPIE--the International Society for Optical EngineeringCherel, Marie; Budin, Francois; Prastawa, Marcel; Gerig, Guido; Lee, Kevin; Buss, Claudia; Lyall, Amanda; Consing, Kirsten Zaldarriaga; Styner, MartinFebruary 21, 2015Not Determined
25905831Create StudyIntergenerational transmission of the effects of acculturation on health in Hispanic Americans: a fetal programming perspective.American journal of public healthFox M, Entringer S, Buss C, DeHaene J, Wadhwa PDJuly 2015Not Determined
24205024Create StudyBrown adipose tissue quantification in human neonates using water-fat separated MRI.PloS oneRasmussen JM, Entringer S, Nguyen A, van Erp TG, Burns J, Guijarro A, Oveisi F, Swanson JM, Piomelli D, Wadhwa PD, Buss C, Potkin SG2013Not Determined
24119939Create StudyMaternal positive affect over the course of pregnancy is associated with the length of gestation and reduced risk of preterm delivery.Journal of psychosomatic researchVoellmin A, Entringer S, Moog N, Wadhwa PD, Buss COctober 2013Not Determined
23047922Create StudyFetal programming of brain development: intrauterine stress and susceptibility to psychopathology.Science signalingBuss C, Entringer S, Wadhwa PDOctober 9, 2012Not Determined
22719848Create StudyImpaired executive function mediates the association between maternal pre-pregnancy body mass index and child ADHD symptoms.PloS oneBuss C, Entringer S, Davis EP, Hobel CJ, Swanson JM, Wadhwa PD, Sandman CA2012Not Determined
22529357Create StudyMaternal cortisol over the course of pregnancy and subsequent child amygdala and hippocampus volumes and affective problems.Proceedings of the National Academy of Sciences of the United States of AmericaBuss C, Davis EP, Shahbaba B, Pruessner JC, Head K, Sandman CAMay 15, 2012Not Determined
21995526Create StudyMaternal pregnancy-specific anxiety is associated with child executive function at 6-9 years age.Stress (Amsterdam, Netherlands)Buss C, Davis EP, Hobel CJ, Sandman CANovember 2011Not Determined
21890014Create StudyThe contribution of maternal stress to preterm birth: issues and considerations.Clinics in perinatologyWadhwa PD, Entringer S, Buss C, Lu MCSeptember 2011Not Determined

Relevant Publications
PubMed IDStudyTitleJournalAuthorsDate
No records found.
Data Expected
Data ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
Research Subject and Pedigree info iconApproved
Imaging (Structural, fMRI, DTI, PET, microscopy) info iconApproved
Wechsler Adult Intelligence Scale info iconApproved
Test of Infant Motor Performance (TIMP) info iconApproved
Home Observation for Measurement of the Environment Inventory (HOME) info iconApproved
Bayley Scales of Infant and Toddler Development, Third Edition (BSID) info iconApproved
genomics/omics info iconApproved
Structure not yet defined

Collection Owners and those with Collection Administrator permission, may edit a collection. The following is currently available for Edit on this page:

Associated Studies

Studies that have been defined using data from a Collection are important criteria to determine the value of data shared. The number of subjects column displays the counts from this Collection that are included in a Study, out of the total number of subjects in that study. The Data Use column represents whether or not the study is a primary analysis of the data or a secondary analysis. State indicates whether the study is private or shared with the research community.

Study Name Description Number of Subjects
Collection / Total
Data Use State
Derivation of Quality Measures for Structural Images by Neuroimaging Pipelines Using the National Database for Autism Research cloud platform, MRI data were analyzed using neuroimaging pipelines that included packages available as part of the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) Computational Environment to derive standardized measures of MR image quality. Structural QA was performed according to Haselgrove, et al (http://journal.frontiersin.org/Journal/10.3389/fninf.2014.00052/abstract) to provide values for Signal to Noise (SNR) and Contrast to Noise (CNR) Ratios that can be compared between subjects within NDAR and between other public data releases. 10 / 425 Secondary Analysis Shared
Derivation of Brain Structure Volumes from MRI Neuroimages hosted by NDAR using C-PAC pipeline and ANTs An automated pipeline was developed to reference Neuroimages hosted by the National Database for Autism Research (NDAR) and derive volumes for distinct brain structures using Advanced Normalization Tools (ANTs) and the Configurable-Pipeline for the Analysis of Connectomes (C-PAC) platform. This pipeline utilized the ANTs cortical thickness methodology discuessed in "Large-Scale Evaluation of ANTs and Freesurfer Cortical Tchickness Measurements" [http://www.ncbi.nlm.nih.gov/pubmed/24879923] to extract a cortical thickness volume from T1-weighted anatomical MRI data gathered from the NDAR database. This volume was then registered to an stereotaxic-space anatomical template (OASIS-30 Atropos Template) which was acquired from the Mindboggle Project webpage [http://mindboggle.info/data.html]. After registration, the mean cortical thickness was calculated at 31 ROIs on each hemisphere of the cortex and using the Desikan-Killiany-Tourville (DKT-31) cortical labelling protocol [http://mindboggle.info/faq/labels.html] over the OASIS-30 template. **NOTE: This study is ongoing; additional data my be available in the future.** As a result, each subject that was processed has a cortical thickness volume image and a text file with the mean thickness ROIs (in mm) stored in Amazon Web Services (AWS) Simple Storage Service (S3). Additionally, these results were tabulated in an AWS-hosted database (through NDAR) to enable simple, efficient querying and data access. All of the code used to perform this analysis is publicly available on Github [https://github.com/FCP-INDI/ndar-dev]. Additionally, as a computing platform, we developed an Amazon Machine Image (AMI) that comes fully equipped to run this pipeline on any dataset. Using AWS Elastic Cloud Computing (EC2), users can launch our publicly available AMI ("C-PAC with benchmark", AMI ID: "ami-fee34296", N. Virginia region) and run the ANTs cortical thickness pipeline. The AMI is fully compatible with Sun Grid Engine as well; this enables users to perform many pipeline runs in parallel over a cluster-computing framework. 6 / 1540 Secondary Analysis Shared
Derivation of Brain Structure Volumes from MRI Neuroimages hosted by NDAR using NITRC-CE A draft publication is in progress. GitHub repository with code for working with NDAR Data is available here: https://github.com/chaselgrove/ndar **Note this study is ongoing; additional may be added.** 6 / 356 Secondary Analysis Shared
* Data not on individual level