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NDAR provides a single access to de-identified autism research data. For permission to download data, you will need an NDAR account with approved access to NDAR or a connected repository (AGRE, IAN, or the ATP). For NDAR access, you need to be a research investigator sponsored by an NIH recognized institution with federal wide assurance. See Request Access for more information.

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The filters you have selected from various query interfaces will be stored here, in the 'Filter Cart'. The database will be queried using filters added to your 'Filter Cart', when multiple filters are defined, each will be executed using 'AND' logic, so with each filter that is applied the result set gets smaller.

From the 'Filter Cart' you can inspect each of the filters that have been defined, and you also have the option to remove filters. The 'Filter Cart' itself will display the number of filters applied along with the number of subjects that are identified by the combination of those filters. For example a GUID filter with two subjects, followed by a GUID filter for just one of those subjects would return only data for the subject that is in both GUID filters.

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1 Numbers reported are subjects by age
New Trial
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Format should be in the following format: Activity Code, Institute Abbreviation, and Serial Number. Grant Type, Support Year, and Suffix should be excluded. For example, grant 1R01MH123456-01A1 should be entered R01MH123456

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New Documentation

Please enter the name of the data structure to search or if your definition does not exist, please upload that definition so that it can be appropriately defined for submission. Multiple data structures may be associated with a single Data Expected entry. Please add only one data structure per assessment.

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Shared

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

General

Title, investigators, and Collection Description may be edited along with the Collection Phase. For Collection Phase, the options Pre-enrollment, Enrollment, and Completed can be chosen allowing the Collection Owner to indicate the stage of data collection.

Funding Source

The ability to associate the funding source for the project is provided. For NIH funded grants, linkage to Project Reporter information (e.g. R01MH123456) is supported. Projects funded by others, including the URL of the project, are listed. Non NIH funded projects will become available here to link that data with the appropriate funding agency.

Supporting Documentation

Any documents related to the project may be uploaded clarifying the data or acquisition methods used may be uploaded and made available here. The default is to share these documents to the general public. An option to share only to qualified Researchers is also an option.

Clinical Trials

For clinical trials, the option to link to the clinical trial in clinicaltrials.gov is optionally provided.

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.
NDAR
Enrollment Completed
Shared
$3,271,577.00
111
140
142

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NIH - Extramural None


R01MH091351-01 FETAL PROGRAMMING OF THE NEWBORN AND INFANT HUMAN BRAIN 12/01/2010 11/30/2015 140 142 UNIVERSITY OF CALIFORNIA-IRVINE $3,271,577.00

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

Experiments

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
No records found.

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

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
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
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

This tab provides a general status on the data expected to be shared. There are two types of data expected.

  1. By Relevant publications — Those publications that reported for the collection's grant and have a status of "relevant" for sharing are listed first. The grantee is expected to share the data specific to those publications using the NDA Study feature. If a publication is erroneously marked relevant, the PI should simply change the status. When sharing a study, only the outcome measures for the subjects/time-points are shared. Other data that have not met the share date, defined below, will remain embargoed. To initiate study creation, simply login, mark your publication as relevant and click on the link listed to begin.

  2. By Data Structure — The number of subjects expected, received and shared is provided. Investigators are expected to update the data that they are collecting, the initial submission date and initial share dates. The NIMH Data Archive shares data when those dates are met.

  3. Submission Exemption — Those with Administrative or Submission Access to the Collection may request an exemption for submission for a defined period by stating the reason and timeframe. Note that the program officer on the grant may review this request.


Relevant Publications
PubMed IDStudyTitleJournalAuthorsDate
No records found.

For those with privileges to edit the collection, it is possible to upload your data definitions using this interface. NDA support staff will then follow up with a harmonized data definition for you to use in providing additional data.

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
Home Observation for Measurement of the Environment Inventory (HOME) info iconApproved
Test of Infant Motor Performance (TIMP) info iconApproved
genomics/omics info iconApproved
Bayley Scales of Infant and Toddler Development, Third Edition (BSID) 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