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1 Numbers reported are subjects by age
New Trial
New Project

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

Please select an experiment type below

Collection - Use Existing Experiment
To associate an experiment to the current collection, just select an axperiment from the table below then click the associate experiment button to persist your changes (saving the collection is not required). Note that once an experiment has been associated to two or more collections, the experiment will not longer be editable.

The table search feature is case insensitive and targets the experiment id, experiment name and experiment type columns. The experiment id is searched only when the search term entered is a number, and filtered using a startsWith comparison. When the search term is not numeric the experiment name is used to filter the results.
SelectExperiment IdExperiment NameExperiment Type
Created On
24HI-NGS_R1Omics02/16/2011
475MB1-10 (CHOP)Omics06/07/2016
490Illumina Infinium PsychArray BeadChip AssayOmics07/07/2016
501PharmacoBOLD Resting StatefMRI07/27/2016
506PVPREFOmics08/05/2016
509ABC-CT Resting v2EEG08/18/2016
13Comparison of FI expression in Autistic and Neurotypical Homo SapiensOmics12/28/2010
18AGRE/Broad Affymetrix 5.0 Genotype ExperimentOmics01/06/2011
22Stitching PCR SequencingOmics02/14/2011
26ASD_MethylationOmics03/01/2011
29Microarray family 03 (father, mother, sibling)Omics03/24/2011
37Standard paired-end sequencing of BCRsOmics04/19/2011
38Illumina Mate-Pair BCR sequencingOmics04/19/2011
39Custom Jumping LibrariesOmics04/19/2011
40Custom CapBPOmics04/19/2011
41ImmunofluorescenceOmics05/11/2011
43Autism brain sample genotyping, IlluminaOmics05/16/2011
47ARRA Autism Sequencing Collaboration at Baylor. SOLiD 4 SystemOmics08/01/2011
53AGRE Omni1-quadOmics10/11/2011
59AGP genotypingOmics04/03/2012
60Ultradeep 454 sequencing of synaptic genes from postmortem cerebella of individuals with ASD and neurotypical controlsOmics06/23/2012
63Microemulsion PCR and Targeted Resequencing for Variant Detection in ASDOmics07/20/2012
76Whole Genome Sequencing in Autism FamiliesOmics01/03/2013
519RestingfMRI11/08/2016
90Genotyped IAN SamplesOmics07/09/2013
91NJLAGS Axiom Genotyping ArrayOmics07/16/2013
93AGP genotyping (CNV)Omics09/06/2013
106Longitudinal Sleep Study. H20 200. Channel set 2EEG11/07/2013
107Longitudinal Sleep Study. H20 200. Channel set 3EEG11/07/2013
108Longitudinal Sleep Study. AURA 200EEG11/07/2013
105Longitudinal Sleep Study. H20 200. Channel set 1EEG11/07/2013
109Longitudinal Sleep Study. AURA 400EEG11/07/2013
116Gene Expression Analysis WG-6Omics01/07/2014
131Jeste Lab UCLA ACEii: Charlie Brown and Sesame Street - Project 1Eye Tracking02/27/2014
132Jeste Lab UCLA ACEii: Animacy - Project 1Eye Tracking02/27/2014
133Jeste Lab UCLA ACEii: Mom Stranger - Project 2Eye Tracking02/27/2014
134Jeste Lab UCLA ACEii: Face Emotion - Project 3Eye Tracking02/27/2014
145AGRE/FMR1_Illumina.JHUOmics04/14/2014
146AGRE/MECP2_Sanger.JHUOmics04/14/2014
147AGRE/MECP2_Junior.JHUOmics04/14/2014
151Candidate Gene Identification in familial AutismOmics06/09/2014
152NJLAGS Whole Genome SequencingOmics07/01/2014
154Math Autism Study - Vinod MenonfMRI07/15/2014
155RestingfMRI07/25/2014
156SpeechfMRI07/25/2014
159EmotionfMRI07/25/2014
160syllable contrastEEG07/29/2014
167School-age naturalistic stimuliEye Tracking09/19/2014
44AGRE/Broad Affymetrix 5.0 Genotype ExperimentOmics06/27/2011
45Exome Sequencing of 20 Sporadic Cases of Autism Spectrum DisorderOmics07/15/2011
Collection - Add Experiment
Add Supporting Documentation
Select File

To add an existing Data Structure, enter its title in the search bar. If you need to request changes, select the indicator "No, it requires changes to meet research needs" after selecting the Structure, and upload the file with the request changes specific to the selected Data Structure. Your file should follow the Request Changes Procedure. If the Data Structure does not exist, select "Request New Data Structure" and upload the appropriate zip file.

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The Data Expected list for this Collection shows some raw data as missing. Contact the NDA Help Desk with any questions.

Please confirm that you will not be enrolling any more subjects and that all raw data has been collected and submitted.

Collection Updated

Your Collection is now in Data Analysis phase and exempt from biannual submissions. Analyzed data is still expected prior to publication or no later than the project end date.

[CMS] Attention
[CMS] Please confirm that you will not be enrolling any more subjects and that all raw data has been collected and submitted.
[CMS] Error

[CMS]

Unable to change collection phase where targeted enrollment is less than 90%

Delete Submission Exemption
Are you sure you want to delete this submission exemption?
You have requested to move the sharing dates for the following assessments:
Data Expected Item Original Sharing Date New Sharing Date

Please provide a reason for this change, which will be sent to the Program Officers listed within this collection:

Explanation must be between 20 and 200 characters in length.

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New Email Address
Collection Summary Collection Charts
Collection Title Collection Investigators Collection Description
UW ACE Extended Family Study
Bryan King 
University of Washington ACE projects
NIMH Data Archive
07/15/2010
Autism Centers of Excellence (ACE)
Funding Completed
Close Out
No
$10,998,234.00
785
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NIH - Extramural None



P50HD055782-01 UW Autism Center of Excellence 08/06/2007 07/31/2013 1514 675 UNIVERSITY OF WASHINGTON $10,998,234.00

helpcenter.collection.general-tab

NDA Help Center

Collection - General Tab

Fields available for edit on the top portion of the page include:

  • Collection Title
  • Investigators
  • Collection Description
  • Collection Phase
  • Funding Source
  • Clinical Trials

Collection Phase: The current status of a research project submitting data to an NDA Collection, based on the timing of the award and/or the data that have been submitted.

  • Pre-Enrollment: The default entry made when the NDA Collection is created.
  • Enrolling: Data have been submitted to the NDA Collection or the NDA Data Expected initial submission date has been reached for at least one data structure category in the NDA Collection.
  • Data Analysis: Subject level data collection for the research project is completed and has been submitted to the NDA Collection. The NDA Collection owner or the NDA Help Desk may set this phase when they’ve confirmed data submission is complete and submitted subject counts match at least 90% of the target enrollment numbers in the NDA Data Expected. Data submission reminders will be turned off for the NDA Collection.
  • Funding Completed: The NIH grant award (or awards) associated with the NDA Collection has reached its end date. NDA Collections in Funding Completed phase are assigned a subphase to indicate the status of data submission.
    • The Data Expected Subphase indicates that NDA expects more data will be submitted
    • The Closeout Subphase indicates the data submission is complete.
    • The Sharing Not Met Subphase indicates that data submission was not completed as expected.

Blinded Clinical Trial Status:

  • This status is set by a Collection Owner and indicates the research project is a double blinded clinical trial. When selected, the public view of Data Expected will show the Data Expected items and the Submission Dates, but the targeted enrollment and subjects submitted counts will not be displayed.
  • Targeted enrollment and subjects submitted counts are visible only to NDA Administrators and to the NDA Collection or as the NDA Collection Owner.
  • When an NDA Collection that is flagged Blinded Clinical Trial reaches the maximum data sharing date for that Data Repository (see https://nda.nih.gov/nda/sharing-regimen.html), the embargo on Data Expected information is released.

Funding Source

The organization(s) responsible for providing the funding is listed here.

Supporting Documentation

Users with Submission privileges, as well as Collection Owners, Program Officers, and those with Administrator privileges, may upload and attach supporting documentation. By default, supporting documentation is shared to the general public, however, the option is also available to limit this information to qualified researchers only.

Grant Information

Identifiable details are displayed about the Project of which the Collection was derived from. You may click in the Project Number to view a full report of the Project captured by the NIH.

Clinical Trials

Any data that is collected to support or further the research of clinical studies will be available here. Collection Owners and those with Administrator privileges may add new clinical trials.

Frequently Asked Questions

  • How does the NIMH Data Archive (NDA) determine which Permission Group data are submitted into?
    During Collection creation, NDA staff determine the appropriate Permission Group based on the type of data to be submitted, the type of access that will be available to data access users, and the information provided by the Program Officer during grant award.
  • How do I know when a NDA Collection has been created?
    When a Collection is created by NDA staff, an email notification will automatically be sent to the PI(s) of the grant(s) associated with the Collection to notify them.
  • Is a single grant number ever associated with more than one Collection?
    The NDA system does not allow for a single grant to be associated with more than one Collection; therefore, a single grant will not be listed in the Grant Information section of a Collection for more than one Collection.
  • Why is there sometimes more than one grant included in a Collection?
    In general, each Collection is associated with only one grant; however, multiple grants may be associated if the grant has multiple competing segments for the same grant number or if multiple different grants are all working on the same project and it makes sense to hold the data in one Collection (e.g., Cooperative Agreements).

Glossary

  • Administrator Privilege
    A privilege provided to a user associated with an NDA Collection or NDA Study whereby that user can perform a full range of actions including providing privileges to other users.
  • Collection Owner
    Generally, the Collection Owner is the contact PI listed on a grant. Only one NDA user is listed as the Collection owner. Most automated emails are primarily sent to the Collection Owner.
  • Collection Phase
    The Collection Phase provides information on data submission as opposed to grant/project completion so while the Collection phase and grant/project phase may be closely related they are often different. Collection users with Administrative Privileges are encouraged to edit the Collection Phase. The Program Officer as listed in eRA (for NIH funded grants) may also edit this field. Changes must be saved by clicking the Save button at the bottom of the page. This field is sortable alphabetically in ascending or descending order. Collection Phase options include:
    • Pre-Enrollment: A grant/project has started, but has not yet enrolled subjects.
    • Enrolling: A grant/project has begun enrolling subjects. Data submission is likely ongoing at this point.
    • Data Analysis: A grant/project has completed enrolling subjects and has completed all data submissions.
    • Funding Completed: A grant/project has reached the project end date.
  • Collection Title
    An editable field with the title of the Collection, which is often the title of the grant associated with the Collection.
  • Grant
    Provides the grant number(s) for the grant(s) associated with the Collection. The field is a hyperlink so clicking on the Grant number will direct the user to the grant information in the NIH Research Portfolio Online Reporting Tools (RePORT) page.
  • Supporting Documentation
    Various documents and materials to enable efficient use of the data by investigators unfamiliar with the project and may include the research protocol, questionnaires, and study manuals.
  • NIH Research Initiative
    NDA Collections may be organized by scientific similarity into NIH Research Initiatives, to facilitate query tool user experience. NIH Research Initiatives map to one or multiple Funding Opportunity Announcements.
  • Permission Group
    Access to shared record-level data in NDA is provisioned at the level of a Permission Group. NDA Permission Groups consist of one or multiple NDA Collections that contain data with the same subject consents.
  • Planned Enrollment
    Number of human subject participants to be enrolled in an NIH-funded clinical research study. The data is provided in competing applications and annual progress reports.
  • Actual Enrollment
    Number of human subjects enrolled in an NIH-funded clinical research study. The data is provided in annual progress reports.
  • NDA Collection
    A virtual container and organization structure for data and associated documentation from one grant or one large project/consortium. It contains tools for tracking data submission and allows investigators to define a wide array of other elements that provide context for the data, including all general information regarding the data and source project, experimental parameters used to collect any event-based data contained in the Collection, methods, and other supporting documentation. They also allow investigators to link underlying data to an NDA Study, defining populations and subpopulations specific to research aims.
  • Data Use Limitations
    Data Use Limitations (DULs) describe the appropriate secondary use of a dataset and are based on the original informed consent of a research participant. NDA only accepts consent-based data use limitations defined by the NIH Office of Science Policy.
  • Total Subjects Shared
    The total number of unique subjects for whom data have been shared and are available for users with permission to access data.
IDNameCreated DateStatusType
73STR genome scan-111/01/2012ApprovedOmics
74SNP genome scan-111/01/2012ApprovedOmics
86STR genome scan-206/07/2013ApprovedOmics
87STR genome scan-306/07/2013ApprovedOmics
88SNP genome scan-206/07/2013ApprovedOmics
89SNP genome scan-306/07/2013ApprovedOmics
helpcenter.collection.experiments-tab

NDA Help Center

Collection - Experiments

The number of Experiments included is displayed in parentheses next to the tab name. You may download all experiments associated with the Collection via the Download button. You may view individual experiments by clicking the Experiment Name and add them to the Filter Cart via the Add to Cart button.

Collection Owners, Program Officers, and users with Submission or Administrative Privileges for the Collection may create or edit an Experiment.

Please note: The creation of an NDA Experiment does not necessarily mean that data collected, according to the defined Experiment, has been submitted or shared.

Frequently Asked Questions

  • Can an Experiment be associated with more than one Collection?

    Yes -see the “Copy” button in the bottom left when viewing an experiment. There are two actions that can be performed via this button:

    1. Copy the experiment with intent for modifications.
    2. Associate the experiment to the collection. No modifications can be made to the experiment.

Glossary

  • Experiment Status
    An Experiment must be Approved before data using the associated Experiment_ID may be uploaded.
  • Experiment ID
    The ID number automatically generated by NDA which must be included in the appropriate file when uploading data to link the Experiment Definition to the subject record.
Aberrant Behavior Checklist (ABC) - Community Clinical Assessments 136
Adolescent Symptom Inventory Clinical Assessments 101
Autism Diagnostic Interview, Revised (ADI-R) Clinical Assessments 40
Autism Diagnostic Observation Schedule (ADOS) - Module 4 Clinical Assessments 6
Autism Diagnostic Observation Schedule (ADOS)- Module 1 Clinical Assessments 20
Autism Diagnostic Observation Schedule (ADOS)- Module 2 Clinical Assessments 19
Autism Diagnostic Observation Schedule (ADOS)- Module 3 Clinical Assessments 97
Autism Diagnostic Observation Schedule (ADOS)- Module 4 Clinical Assessments 3
Brief Symptom Inventory Clinical Assessments 109
Broader Phenotype Autism Symptom Scale Clinical Assessments 143
CHARGE Medical History Clinical Assessments 115
Children's Communication Checklist - 2 Clinical Assessments 47
Communication Checklist - Adult Clinical Assessments 163
Conners 3 Clinical Assessments 97
DAS-II: Differential Ability Scales 2nd Ed. School Age Clinical Assessments 70
DAS-II:Differential Ability Scales 2nd Ed. Early Years Clinical Assessments 39
Dyadic Adjustment Scale Clinical Assessments 217
Early Childhood Behavior Questionnaire Clinical Assessments 52
Early Development Interview Clinical Assessments 84
Family History Interview Clinical Assessments 125
Genomics Sample Genomics 154
Genomics Subject Genomics 303
Life Events Survey Clinical Assessments 178
Maternal Behavior Rating Scale (MBRS) Clinical Assessments 79
Mullen Scales of Early Learning Clinical Assessments 192
NCAST Teaching Scale Clinical Assessments 76
Parent Sense of Competence Clinical Assessments 120
Pediatric Sleep Questionnaire Clinical Assessments 79
Repetitive Behavior Scale - Revised (RBS-R) Clinical Assessments 198
Sensory Experiences Questionnaire Clinical Assessments 16
Social Competence Questionnaire (ComQ) Clinical Assessments 249
Social Responsiveness Scale (SRS) Clinical Assessments 141
Social Responsiveness Scale (SRS) - Adult/Self Version Clinical Assessments 143
Teacher Report Form (Achenbach) Clinical Assessments 59
Vineland-II - Survey Form (2005) Clinical Assessments 363
WechslerIQ_ShortForm Clinical Assessments 129
helpcenter.collection.shared-data-tab

NDA Help Center

Collection - Shared Data

This tab provides a quick overview of the Data Structure title, Data Type, and Number of Subjects that are currently Shared for the Collection. The information presented in this tab is automatically generated by NDA and cannot be edited. If no information is visible on this tab, this would indicate the Collection does not have shared data or the data is private.

The shared data is available to other researchers who have permission to access data in the Collection's designated Permission Group(s). Use the Download button to get all shared data from the Collection to the Filter Cart.

Frequently Asked Questions

  • How will I know if another researcher uses data that I shared through the NIMH Data Archive (NDA)?
    To see what data your project have submitted are being used by a study, simply go the Associated Studies tab of your collection. Alternatively, you may review an NDA Study Attribution Report available on the General tab.
  • Can I get a supplement to share data from a completed research project?
    Often it becomes more difficult to organize and format data electronically after the project has been completed and the information needed to create a GUID may not be available; however, you may still contact a program staff member at the appropriate funding institution for more information.
  • Can I get a supplement to share data from a research project that is still ongoing?
    Unlike completed projects where researchers may not have the information needed to create a GUID and/or where the effort needed to organize and format data becomes prohibitive, ongoing projects have more of an opportunity to overcome these challenges. Please contact a program staff member at the appropriate funding institution for more information.

Glossary

  • Data Structure
    A defined organization and group of Data Elements to represent an electronic definition of a measure, assessment, questionnaire, or collection of data points. Data structures that have been defined in the NDA Data Dictionary are available at https://nda.nih.gov/general-query.html?q=query=data-structure
  • Data Type
    A grouping of data by similar characteristics such as Clinical Assessments, Omics, or Neurosignal data.
  • Shared
    The term 'Shared' generally means available to others; however, there are some slightly different meanings based on what is Shared. A Shared NDA Study is viewable and searchable publicly regardless of the user's role or whether the user has an NDA account. A Shared NDA Study does not necessarily mean that data used in the NDA Study have been shared as this is independently determined. Data are shared according the schedule defined in a Collection's Data Expected Tab and/or in accordance with data sharing expectations in the NDA Data Sharing Terms and Conditions. Additionally, Supporting Documentation uploaded to a Collection may be shared independent of whether data are shared.

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 NDA 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
36943905Create StudyNeural mechanisms of language development in infancy.Infancy : the official journal of the International Society on Infant StudiesHuberty, Scott; O'Reilly, Christian; Carter Leno, Virginia; Steiman, Mandy; Webb, Sara; Elsabbagh, Mayada; BASIS TeamJanuary 1, 2023Not Determined
35652157Create StudyEarly predictors of language skills at 3 years of age vary based on diagnostic outcome: A baby siblings research consortium study.Autism research : official journal of the International Society for Autism ResearchPecukonis, Meredith; Young, Gregory S; Brian, Jessica; Charman, Tony; Chawarska, Katarzyna; Elsabbagh, Mayada; Iverson, Jana M; Jeste, Shafali; Landa, Rebecca; Messinger, Daniel S; Schwichtenberg, A J; Webb, Sara Jane; Zwaigenbaum, Lonnie; Tager-Flusberg, HelenJuly 1, 2022Not Determined
33955195Create StudyAssociation between spectral electroencephalography power and autism risk and diagnosis in early development.Autism research : official journal of the International Society for Autism ResearchHuberty, Scott; Carter Leno, Virginia; van Noordt, Stefon J R; Bedford, Rachael; Pickles, Andrew; Desjardins, James A; Webb, Sara Jane; BASIS Team; Elsabbagh, MayadaJuly 1, 2021Not Determined
33714056Create Study12-Month peak alpha frequency is a correlate but not a longitudinal predictor of non-verbal cognitive abilities in infants at low and high risk for autism spectrum disorder.Developmental cognitive neuroscienceCarter Leno, Virginia; Pickles, Andrew; van Noordt, Stefon; Huberty, Scott; Desjardins, James; Webb, Sara Jane; Elsabbagh, Mayada; BASIS TeamApril 1, 2021Not Determined
32641754Create StudyInfant EEG theta modulation predicts childhood intelligence.Scientific reportsJones, E J H; Goodwin, A; Orekhova, E; Charman, T; Dawson, G; Webb, S J; Johnson, M HJuly 2020Not Determined
32380941Create StudyEEG-IP: an international infant EEG data integration platform for the study of risk and resilience in autism and related conditions.Molecular medicine (Cambridge, Mass.)van Noordt, Stefon; Desjardins, James A; Huberty, Scott; Abou-Abbas, Lina; Webb, Sara Jane; Levin, April R; Segalowitz, Sidney J; Evans, Alan C; Elsabbagh, MayadaMay 7, 2020Not Determined
31589284Create StudyDevelopmental Trajectories of Infants With Multiplex Family Risk for Autism: A Baby Siblings Research Consortium Study.JAMA neurologyMcDonald, Nicole M; Senturk, Damla; Scheffler, Aaron; Brian, Jessica A; Carver, Leslie J; Charman, Tony; Chawarska, Katarzyna; Curtin, Suzanne; Hertz-Piccioto, Irva; Jones, Emily J H; Klin, Ami; Landa, Rebecca; Messinger, Daniel S; Ozonoff, Sally; Stone, Wendy L; Tager-Flusberg, Helen; Webb, Sara Jane; Young, Gregory; Zwaigenbaum, Lonnie; Jeste, Shafali SJanuary 2020Not Determined
28457745Create StudySensory hypersensitivity predicts enhanced attention capture by faces in the early development of ASD.Developmental cognitive neuroscienceJones, E J H; Dawson, G; Webb, S JJanuary 2018Not Determined
28244271Create StudyParent-delivered early intervention in infants at risk for ASD: Effects on electrophysiological and habituation measures of social attention.Autism research : official journal of the International Society for Autism ResearchJones, Emily J H; Dawson, Geraldine; Kelly, Jean; Estes, Annette; Webb, Sara JaneMay 2017Not Determined
27940149Create StudyClose genetic relationships between a spousal pair with autism-affected children and high minor allele content in cases in autism-associated SNPs.GenomicsZhu Z, Lu X, Yuan D, Huang SJanuary 2017Not Determined
27861851Create StudyInfant social attention: an endophenotype of ASD-related traits?Journal of child psychology and psychiatry, and allied disciplinesJones, Emily J H; Venema, Kaitlin; Earl, Rachel K; Lowy, Rachel; Webb, Sara JMarch 2017Not Determined
27582229Create StudySeverity of ASD symptoms and their correlation with the presence of copy number variations and exposure to first trimester ultrasound.Autism research : official journal of the International Society for Autism ResearchWebb, Sara Jane; Garrison, Michelle M; Bernier, Raphael; McClintic, Abbi M; King, Bryan H; Mourad, Pierre DMarch 2017Not Determined
27417857Create StudyNon-ASD outcomes at 36 months in siblings at familial risk for autism spectrum disorder (ASD): A baby siblings research consortium (BSRC) study.Autism research : official journal of the International Society for Autism ResearchCharman, Tony; Young, Gregory S; Brian, Jessica; Carter, Alice; Carver, Leslie J; Chawarska, Katarzyna; Curtin, Suzanne; Dobkins, Karen; Elsabbagh, Mayada; Georgiades, Stelios; Hertz-Picciotto, Irva; Hutman, Ted; Iverson, Jana M; Jones, Emily J; Landa, Rebecca; Macari, Suzanne; Messinger, Daniel S; Nelson, Charles A; Ozonoff, Sally; Saulnier, Celine; Stone, Wendy L; Tager-Flusberg, Helen; Webb, Sara Jane; Yirmiya, Nurit; Zwaigenbaum, LonnieJanuary 2017Not Determined
27358719Create StudyCommentary: sex difference differences? A reply to Constantino.Molecular autismMessinger, Daniel S; Young, Gregory S; Webb, Sara Jane; Ozonoff, Sally; Bryson, Susan E; Carter, Alice; Carver, Leslie; Charman, Tony; Chawarska, Katarzyna; Curtin, Suzanne; Dobkins, Karen; Hertz-Picciotto, Irva; Hutman, Ted; Iverson, Jana M; Landa, Rebecca; Nelson, Charles A; Stone, Wendy L; Tager-Flusberg, Helen; Zwaigenbaum, Lonnie2016Not Relevant
27178863Create StudyEarly event-related potentials to emotional faces differ for adults with autism spectrum disorder and by serotonin transporter genotype.Clinical neurophysiology : official journal of the International Federation of Clinical NeurophysiologyFaja, Susan; Dawson, Geraldine; Aylward, Elizabeth; Wijsman, Ellen M; Webb, Sara JaneJune 2016Not Determined
27055415Create StudyThe Relationship Between Early Neural Responses to Emotional Faces at Age 3 and Later Autism and Anxiety Symptoms in Adolescents with Autism.Journal of autism and developmental disordersNeuhaus, Emily; Jones, Emily J H; Barnes, Karen; Sterling, Lindsey; Estes, Annette; Munson, Jeff; Dawson, Geraldine; Webb, Sara JJuly 2016Not Determined
26981158Create StudyReduced engagement with social stimuli in 6-month-old infants with later autism spectrum disorder: a longitudinal prospective study of infants at high familial risk.Journal of neurodevelopmental disordersJones, E J H; Venema, K; Earl, R; Lowy, R; Barnes, K; Estes, A; Dawson, G; Webb, S J2016Not Determined
26666502Create StudySubregional differences in intrinsic amygdala hyperconnectivity and hypoconnectivity in autism spectrum disorder.Autism research : official journal of the International Society for Autism ResearchKleinhans, Natalia M; Reiter, Maya A; Neuhaus, Emily; Pauley, Greg; Martin, Nathalie; Dager, Stephen; Estes, AnnetteJuly 1, 2016Not Determined
26219834Create StudyDevelopmental changes in infant brain activity during naturalistic social experiences.Developmental psychobiologyJones, Emily J H; Venema, Kaitlin; Lowy, Rachel; Earl, Rachel K; Webb, Sara JaneNovember 2015Not Determined
26045943Create StudyEarly sex differences are not autism-specific: A Baby Siblings Research Consortium (BSRC) study.Molecular autismMessinger, Daniel S; Young, Gregory S; Webb, Sara Jane; Ozonoff, Sally; Bryson, Susan E; Carter, Alice; Carver, Leslie; Charman, Tony; Chawarska, Katarzyna; Curtin, Suzanne; Dobkins, Karen; Hertz-Picciotto, Irva; Hutman, Ted; Iverson, Jana M; Landa, Rebecca; Nelson, Charles A; Stone, Wendy L; Tager-Flusberg, Helen; Zwaigenbaum, LonnieJanuary 2015Not Determined
25409314Create StudyProtein interaction networks reveal novel autism risk genes within GWAS statistical noise.PloS oneCorreia, Catarina; Oliveira, Guiomar; Vicente, Astrid M2014Not Determined
25038753Study (346)Most genetic risk for autism resides with common variation.Nature geneticsGaugler, Trent; Klei, Lambertus; Sanders, Stephan J; Bodea, Corneliu A; Goldberg, Arthur P; Lee, Ann B; Mahajan, Milind; Manaa, Dina; Pawitan, Yudi; Reichert, Jennifer; Ripke, Stephan; Sandin, Sven; Sklar, Pamela; Svantesson, Oscar; Reichenberg, Abraham; Hultman, Christina M; Devlin, Bernie; Roeder, Kathryn; Buxbaum, Joseph DAugust 2014Relevant
24600472Create StudyA scoring strategy combining statistics and functional genomics supports a possible role for common polygenic variation in autism.Frontiers in geneticsCarayol, Jérôme; Schellenberg, Gerard D; Dombroski, Beth; Amiet, Claire; Génin, Bérengère; Fontaine, Karine; Rousseau, Francis; Vazart, Céline; Cohen, David; Frazier, Thomas W; Hardan, Antonio Y; Dawson, Geraldine; Rio Frio, ThomasJanuary 2014Not Determined
24441420Create StudyUpdate on diagnostic classification in autism.Current opinion in psychiatryKing, Bryan H; Navot, Noa; Bernier, Raphael; Webb, Sara JaneMarch 2014Not Determined
24410019Create StudyThe motivation for very early intervention for infants at high risk for autism spectrum disorders.International journal of speech-language pathologyWebb, Sara Jane; Jones, Emily J H; Kelly, Jean; Dawson, GeraldineFebruary 2014Not Relevant
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20663923Study (325)A genome-wide scan for common alleles affecting risk for autism.Human molecular geneticsAnney, Richard; Klei, Lambertus; Pinto, Dalila; Regan, Regina; Conroy, Judith; Magalhaes, Tiago R; Correia, Catarina; Abrahams, Brett S; Sykes, Nuala; Pagnamenta, Alistair T; Almeida, Joana; Bacchelli, Elena; Bailey, Anthony J; Baird, Gillian; Battaglia, Agatino; Berney, Tom; Bolshakova, Nadia; Bölte, Sven; Bolton, Patrick F; Bourgeron, Thomas; Brennan, Sean; Brian, Jessica; Carson, Andrew R; Casallo, Guillermo; Casey, Jillian; Chu, Su H; Cochrane, Lynne; Corsello, Christina; Crawford, Emily L; Crossett, Andrew; Dawson, Geraldine; de Jonge, Maretha; Delorme, Richard; Drmic, Irene; Duketis, Eftichia; Duque, Frederico; Estes, Annette; Farrar, Penny; Fernandez, Bridget A; Folstein, Susan E; Fombonne, Eric; Freitag, Christine M; Gilbert, John; Gillberg, Christopher; Glessner, Joseph T; Goldberg, Jeremy; Green, Jonathan; Guter, Stephen J; Hakonarson, Hakon; Heron, Elizabeth A; Hill, Matthew; Holt, Richard; Howe, Jennifer L; Hughes, Gillian; Hus, Vanessa; Igliozzi, Roberta; Kim, Cecilia; Klauck, Sabine M; Kolevzon, Alexander; Korvatska, Olena; Kustanovich, Vlad; Lajonchere, Clara M; Lamb, Janine A; Laskawiec, Magdalena; Leboyer, Marion; Le Couteur, Ann; Leventhal, Bennett L; Lionel, Anath C; Liu, Xiao-Qing; Lord, Catherine; Lotspeich, Linda; Lund, Sabata C; Maestrini, Elena; Mahoney, William; Mantoulan, Carine; Marshall, Christian R; McConachie, Helen; McDougle, Christopher J; McGrath, Jane; McMahon, William M; Melhem, Nadine M; Merikangas, Alison; Migita, Ohsuke; Minshew, Nancy J; Mirza, Ghazala K; Munson, Jeff; Nelson, Stanley F; Noakes, Carolyn; Noor, Abdul; Nygren, Gudrun; Oliveira, Guiomar; Papanikolaou, Katerina; Parr, Jeremy R; Parrini, Barbara; Paton, Tara; Pickles, Andrew; Piven, Joseph; Posey, David J; Poustka, Annemarie; Poustka, Fritz; Prasad, Aparna; Ragoussis, Jiannis; Renshaw, Katy; Rickaby, Jessica; Roberts, Wendy; Roeder, Kathryn; Roge, Bernadette; Rutter, Michael L; Bierut, Laura J; Rice, John P; Salt, Jeff; Sansom, Katherine; Sato, Daisuke; Segurado, Ricardo; Senman, Lili; Shah, Naisha; Sheffield, Val C; Soorya, Latha; Sousa, Inês; Stoppioni, Vera; Strawbridge, Christina; Tancredi, Raffaella; Tansey, Katherine; Thiruvahindrapduram, Bhooma; Thompson, Ann P; Thomson, Susanne; Tryfon, Ana; Tsiantis, John; Van Engeland, Herman; Vincent, John B; Volkmar, Fred; Wallace, Simon; Wang, Kai; Wang, Zhouzhi; Wassink, Thomas H; Wing, Kirsty; Wittemeyer, Kerstin; Wood, Shawn; Yaspan, Brian L; Zurawiecki, Danielle; Zwaigenbaum, Lonnie; Betancur, Catalina; Buxbaum, Joseph D; Cantor, Rita M; Cook, Edwin H; Coon, Hilary; Cuccaro, Michael L; Gallagher, Louise; Geschwind, Daniel H; Gill, Michael; Haines, Jonathan L; Miller, Judith; Monaco, Anthony P; Nurnberger Jr, John I; Paterson, Andrew D; Pericak-Vance, Margaret A; Schellenberg, Gerard D; Scherer, Stephen W; Sutcliffe, James S; Szatmari, Peter; Vicente, Astrid M; Vieland, Veronica J; Wijsman, Ellen M; Devlin, Bernie; Ennis, Sean; Hallmayer, JoachimOctober 15, 2010Relevant
20531469Study (327)Functional impact of global rare copy number variation in autism spectrum disorders.NaturePinto, Dalila; Pagnamenta, Alistair T; Klei, Lambertus; Anney, Richard; Merico, Daniele; Regan, Regina; Conroy, Judith; Magalhaes, Tiago R; Correia, Catarina; Abrahams, Brett S; Almeida, Joana; Bacchelli, Elena; Bader, Gary D; Bailey, Anthony J; Baird, Gillian; Battaglia, Agatino; Berney, Tom; Bolshakova, Nadia; Bölte, Sven; Bolton, Patrick F; Bourgeron, Thomas; Brennan, Sean; Brian, Jessica; Bryson, Susan E; Carson, Andrew R; Casallo, Guillermo; Casey, Jillian; Chung, Brian H Y; Cochrane, Lynne; Corsello, Christina; Crawford, Emily L; Crossett, Andrew; Cytrynbaum, Cheryl; Dawson, Geraldine; de Jonge, Maretha; Delorme, Richard; Drmic, Irene; Duketis, Eftichia; Duque, Frederico; Estes, Annette; Farrar, Penny; Fernandez, Bridget A; Folstein, Susan E; Fombonne, Eric; Freitag, Christine M; Gilbert, John; Gillberg, Christopher; Glessner, Joseph T; Goldberg, Jeremy; Green, Andrew; Green, Jonathan; Guter, Stephen J; Hakonarson, Hakon; Heron, Elizabeth A; Hill, Matthew; Holt, Richard; Howe, Jennifer L; Hughes, Gillian; Hus, Vanessa; Igliozzi, Roberta; Kim, Cecilia; Klauck, Sabine M; Kolevzon, Alexander; Korvatska, Olena; Kustanovich, Vlad; Lajonchere, Clara M; Lamb, Janine A; Laskawiec, Magdalena; Leboyer, Marion; Le Couteur, Ann; Leventhal, Bennett L; Lionel, Anath C; Liu, Xiao-Qing; Lord, Catherine; Lotspeich, Linda; Lund, Sabata C; Maestrini, Elena; Mahoney, William; Mantoulan, Carine; Marshall, Christian R; McConachie, Helen; McDougle, Christopher J; McGrath, Jane; McMahon, William M; Merikangas, Alison; Migita, Ohsuke; Minshew, Nancy J; Mirza, Ghazala K; Munson, Jeff; Nelson, Stanley F; Noakes, Carolyn; Noor, Abdul; Nygren, Gudrun; Oliveira, Guiomar; Papanikolaou, Katerina; Parr, Jeremy R; Parrini, Barbara; Paton, Tara; Pickles, Andrew; Pilorge, Marion; Piven, Joseph; Ponting, Chris P; Posey, David J; Poustka, Annemarie; Poustka, Fritz; Prasad, Aparna; Ragoussis, Jiannis; Renshaw, Katy; Rickaby, Jessica; Roberts, Wendy; Roeder, Kathryn; Roge, Bernadette; Rutter, Michael L; Bierut, Laura J; Rice, John P; Salt, Jeff; Sansom, Katherine; Sato, Daisuke; Segurado, Ricardo; Sequeira, Ana F; Senman, Lili; Shah, Naisha; Sheffield, Val C; Soorya, Latha; Sousa, Inês; Stein, Olaf; Sykes, Nuala; Stoppioni, Vera; Strawbridge, Christina; Tancredi, Raffaella; Tansey, Katherine; Thiruvahindrapduram, Bhooma; Thompson, Ann P; Thomson, Susanne; Tryfon, Ana; Tsiantis, John; Van Engeland, Herman; Vincent, John B; Volkmar, Fred; Wallace, Simon; Wang, Kai; Wang, Zhouzhi; Wassink, Thomas H; Webber, Caleb; Weksberg, Rosanna; Wing, Kirsty; Wittemeyer, Kerstin; Wood, Shawn; Wu, Jing; Yaspan, Brian L; Zurawiecki, Danielle; Zwaigenbaum, Lonnie; Buxbaum, Joseph D; Cantor, Rita M; Cook, Edwin H; Coon, Hilary; Cuccaro, Michael L; Devlin, Bernie; Ennis, Sean; Gallagher, Louise; Geschwind, Daniel H; Gill, Michael; Haines, Jonathan L; Hallmayer, Joachim; Miller, Judith; Monaco, Anthony P; Nurnberger Jr, John I; Paterson, Andrew D; Pericak-Vance, Margaret A; Schellenberg, Gerard D; Szatmari, Peter; Vicente, Astrid M; Vieland, Veronica J; Wijsman, Ellen M; Scherer, Stephen W; Sutcliffe, James S; Betancur, CatalinaJuly 15, 2010Relevant
20301009Create StudyToddlers with elevated autism symptoms show slowed habituation to faces.Child neuropsychology : a journal on normal and abnormal development in childhood and adolescenceWebb, Sara Jane; Jones, Emily J H; Merkle, Kristen; Namkung, Jessica; Toth, Karen; Greenson, Jessica; Murias, Michael; Dawson, Geraldine2010Not Relevant
20236806Create StudyImproving 1H MRSI measurement of cerebral lactate for clinical applications.Psychiatry researchCorrigan, Neva M; Richards, Todd L; Friedman, Seth D; Petropoulos, Helen; Dager, Stephen RApril 2010Not Relevant
20017966Create StudyContrasting identity-by-descent estimators, association studies, and linkage analyses using the Framingham Heart Study data.BMC proceedingsMarchani, Elizabeth E; Di, Yanming; Choi, Yoonha; Cheung, Charles; Su, Ming; Boehm, Frederick; Thompson, Elizabeth A; Wijsman, Ellen M2009Not Relevant
19924706Create StudyCombining information from linkage and association methods.Genetic epidemiologyMarchani, Elizabeth E; Callegaro, Andrea; Daw, E Warwick; Wijsman, Ellen M2009Not Relevant
19812673Create StudyA genome-wide linkage and association scan reveals novel loci for autism.NatureWeiss, Lauren A; Arking, Dan E; Gene Discovery Project of Johns Hopkins & the Autism Consortium; Daly, Mark J; Chakravarti, AravindaOctober 8, 2009Not Determined
19535467Create StudyParenting stress and psychological functioning among mothers of preschool children with autism and developmental delay.Autism : the international journal of research and practiceEstes, Annette; Munson, Jeffrey; Dawson, Geraldine; Koehler, Elizabeth; Zhou, Xiao-Hua; Abbott, RobertJuly 2009Not Relevant
19404257Create StudyAutism genome-wide copy number variation reveals ubiquitin and neuronal genes.NatureGlessner, Joseph T; Wang, Kai; Cai, Guiqing; Korvatska, Olena; Kim, Cecilia E; Wood, Shawn; Zhang, Haitao; Estes, Annette; Brune, Camille W; Bradfield, Jonathan P; Imielinski, Marcin; Frackelton, Edward C; Reichert, Jennifer; Crawford, Emily L; Munson, Jeffrey; Sleiman, Patrick M A; Chiavacci, Rosetta; Annaiah, Kiran; Thomas, Kelly; Hou, Cuiping; Glaberson, Wendy; Flory, James; Otieno, Frederick; Garris, Maria; Soorya, Latha; Klei, Lambertus; Piven, Joseph; Meyer, Kacie J; Anagnostou, Evdokia; Sakurai, Takeshi; Game, Rachel M; Rudd, Danielle S; Zurawiecki, Danielle; McDougle, Christopher J; Davis, Lea K; Miller, Judith; Posey, David J; Michaels, Shana; Kolevzon, Alexander; Silverman, Jeremy M; Bernier, Raphael; Levy, Susan E; Schultz, Robert T; Dawson, Geraldine; Owley, Thomas; McMahon, William M; Wassink, Thomas H; Sweeney, John A; Nurnberger, John I; Coon, Hilary; Sutcliffe, James S; Minshew, Nancy J; Grant, Struan F A; Bucan, Maja; Cook, Edwin H; Buxbaum, Joseph D; Devlin, Bernie; Schellenberg, Gerard D; Hakonarson, HakonMay 28, 2009Not Determined
19404256Create StudyCommon genetic variants on 5p14.1 associate with autism spectrum disorders.NatureWang, Kai; Zhang, Haitao; Ma, Deqiong; Bucan, Maja; Glessner, Joseph T; Abrahams, Brett S; Salyakina, Daria; Imielinski, Marcin; Bradfield, Jonathan P; Sleiman, Patrick M A; Kim, Cecilia E; Hou, Cuiping; Frackelton, Edward; Chiavacci, Rosetta; Takahashi, Nagahide; Sakurai, Takeshi; Rappaport, Eric; Lajonchere, Clara M; Munson, Jeffrey; Estes, Annette; Korvatska, Olena; Piven, Joseph; Sonnenblick, Lisa I; Alvarez Retuerto, Ana I; Herman, Edward I; Dong, Hongmei; Hutman, Ted; Sigman, Marian; Ozonoff, Sally; Klin, Ami; Owley, Thomas; Sweeney, John A; Brune, Camille W; Cantor, Rita M; Bernier, Raphael; Gilbert, John R; Cuccaro, Michael L; McMahon, William M; Miller, Judith; State, Matthew W; Wassink, Thomas H; Coon, Hilary; Levy, Susan E; Schultz, Robert T; Nurnberger, John I; Haines, Jonathan L; Sutcliffe, James S; Cook, Edwin H; Minshew, Nancy J; Buxbaum, Joseph D; Dawson, Geraldine; Grant, Struan F A; Geschwind, Daniel H; Pericak-Vance, Margaret A; Schellenberg, Gerard D; Hakonarson, HakonMay 28, 2009Not Determined
19363431Create StudyResearch applications of magnetic resonance spectroscopy to investigate psychiatric disorders.Topics in magnetic resonance imaging : TMRIDager, Stephen R; Corrigan, Neva M; Richards, Todd L; Posse, StefanApril 2008Not Relevant
19243924Create StudyCerebellar vermal volumes and behavioral correlates in children with autism spectrum disorder.Psychiatry researchWebb, Sara Jane; Sparks, Bobbi-Faun; Friedman, Seth D; Shaw, Dennis W W; Giedd, Jay; Dawson, Geraldine; Dager, Stephen RApril 30, 2009Not Relevant
18954476Create StudyNeurocognitive predictors of social and communicative developmental trajectories in preschoolers with autism spectrum disorders.Journal of the International Neuropsychological Society : JINSMunson, Jeffrey; Faja, Susan; Meltzoff, Andrew; Abbott, Robert; Dawson, GeraldineNovember 2008Not Relevant
18632090Create StudyGenome-wide linkage analyses of quantitative and categorical autism subphenotypes.Biological psychiatryLiu, Xiao-Qing; Paterson, Andrew D; Szatmari, Peter; Autism Genome Project ConsortiumOctober 1, 2008Not Determined
18558865Create StudyNeural substrates of language acquisition.Annual review of neuroscienceKuhl P, Rivera-Gaxiola M2008Not Relevant
helpcenter.collection.publications-tab

NDA Help Center

Collection - Publications

The number of Publications is displayed in parentheses next to the tab name. Clicking on any of the Publication Titles will open the Publication in a new internet browsing tab.

Collection Owners, Program Officers, and users with Submission or Administrative Privileges for the Collection may mark a publication as either Relevant or Not Relevant in the Status column.

Frequently Asked Questions

  • How can I determine if a publication is relevant?
    Publications are considered relevant to a collection when the data shared is directly related to the project or collection.
  • Where does the NDA get the publications?
    PubMed, an online library containing journals, articles, and medical research. Sponsored by NiH and National Library of Medicine (NLM).

Glossary

  • Create Study
    A link to the Create an NDA Study page that can be clicked to start creating an NDA Study with information such as the title, journal and authors automatically populated.
  • Not Determined Publication
    Indicates that the publication has not yet been reviewed and/or marked as Relevant or Not Relevant so it has not been determined whether an NDA Study is expected.
  • Not Relevant Publication
    A publication that is not based on data related to the aims of the grant/project associated with the Collection or not based on any data such as a review article and, therefore, an NDA Study is not expected to be created.
  • PubMed
    PubMed provides citation information for biomedical and life sciences publications and is managed by the U.S. National Institutes of Health's National Library of Medicine.
  • PubMed ID
    The PUBMed ID is the unique ID number for the publication as recorded in the PubMed database.
  • Relevant Publication
    A publication that is based on data related to the aims of the grant/project associated with the Collection and, therefore, an NDA Study is expected to be created.
Data Expected List: Mandatory Data Structures

These data structures are mandatory for your NDA Collection. Please update the Targeted Enrollment number to accurately represent the number of subjects you expect to submit for the entire study.

For NIMH HIV-related research that involves human research participants: Select the dictionary or dictionaries most appropriate for your research. If your research does not require all three data dictionaries, just ignore the ones you do not need. There is no need to delete extra data dictionaries from your NDA Collection. You can adjust the Targeted Enrollment column in the Data Expected tab to “0” for those unnecessary data dictionaries. At least one of the three data dictionaries must have a non-zero value.

Data ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
Research Subject and Pedigree info icon
28007/15/2008
303
Approved
To create your project's Data Expected list, use the "+New Data Expected" to add or request existing structures and to request new Data Structures that are not in the NDA Data Dictionary.

If the Structure you need already exists, locate it and specify your dates and enrollment when adding it to your Data Expected list. If you require changes to the Structure you need, select the indicator stating "No, it requires changes to meet research needs," and upload a file containing your requested changes.

If the structure you need is not yet defined in the Data Dictionary, you can select "Upload Definition" and attach the necessary materials to request its creation.

When selecting the expected dates for your data, make sure to follow the standard Data Sharing Regimen and choose dates within the date ranges that correspond to your project start and end dates.

Please visit the Completing Your Data Expected Tutorial for more information.
Data Expected List: Data Structures per Research Aims

These data structures are specific to your research aims and should list all data structures in which data will be collected and submitted for this NDA Collection. Please update the Targeted Enrollment number to accurately represent the number of subjects you expect to submit for the entire study.

Data ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
Mullen Scales of Early Learning info icon
58807/15/2008
192
Approved
Genomics/omics info icon
9307/31/2012
154
Approved
ABC Community info icon
33807/15/2008
136
Approved
Childrens Memory Scale (CMS) info icon
31207/15/2008
0
Approved
ADOS info icon
32607/15/2008
142
Approved
Life Events Checklist info icon
41307/15/2008
178
Approved
Early Development Inventory (EDI) info icon
25607/15/2008
84
Approved
Pediatric Sleep Evaluation Questionnaire info icon
9907/15/2008
79
Approved
Parenting Sense of Competence Scale (PSOCS) info icon
14207/15/2008
120
Approved
Woodcock-Johnson Tests of Cognitive Abilities and Achievement info icon
31207/15/2008
0
Approved
Dyadic Adjustment Scale info icon
62107/15/2008
217
Approved
PDD Behavior Inventory (PDDBI) info icon
18207/15/2008
0
Approved
Brief Symptom Inventory (BSI) info icon
68107/15/2008
109
Approved
Medical History info icon
1807/15/2008
222
Approved
Maternal Behavior Rating Scale (MBRS) info icon
35807/15/2008
79
Approved
NCAST info icon
6507/31/2012
76
Approved
Broader Phenotype Autism Symptom Scale (BPASS) info icon
27007/15/2008
143
Approved
Sensory Processing and Motor Control Questionnaire info icon
3207/15/2008
0
Approved
Social Responsiveness Scale (SRS) info icon
33207/15/2008
284
Approved
Wechsler Abbreviated Scale of Intelligence (WASI) info icon
26307/15/2008
0
Approved
Sensory Experiences Questionnaire (SEQ) info icon
15907/15/2008
16
Approved
Comprehensive Test of Phonological Processing (CTOPP) info icon
13507/15/2008
0
Approved
Parenting Practices Inventory info icon
13007/15/2008
0
Approved
Social Competence Inventory info icon
39707/15/2008
249
Approved
Infant Behavior Questionnaire (IBQ) info icon
18307/15/2008
0
Approved
Child Behavior Checklist (CBCL) info icon
10907/15/2008
0
Approved
Childrens Communication Checklist-2 (CCC-2) info icon
9107/15/2008
47
Approved
Autism Observation Scale for Infants (AOSI) info icon
18607/15/2008
0
Approved
Spectroscopy info icon
6507/31/2012
0
Approved
Sleep and Settle Questionnaire (SSQ) info icon
17907/15/2008
0
Approved
Childs Sleep Habits Questionnaire (CSHQ) info icon
3607/15/2008
0
Approved
Questionnaire on Resources and Stress (QRS-F) info icon
1,01807/15/2008
0
Approved
SF36 Health QoL info icon
16507/15/2008
0
Approved
Adolescent Symptom Inventory-4 (ASI-4) info icon
10607/15/2008
101
Approved
Conners info icon
31207/15/2008
97
Approved
Teacher Report Form (Achenbach) info icon
6507/15/2008
59
Approved
DAS-II: Differential Ability Scales info icon
19907/15/2008
109
Approved
MacArthur Bates Communicative Development Inventory info icon
17507/15/2008
0
Approved
Wechsler IQ Short Form info icon
11307/15/2008
129
Approved
Repetitive Behavior Scale - Revised (RBS-R) info icon
49207/15/2008
198
Approved
Social Skills Rating System (SSRS) info icon
10207/15/2008
0
Approved
Communication Checklist - Adult info icon
27007/15/2008
163
Approved
Early Childhood Behavioral Questionnaire (ECBQ) info icon
6507/15/2008
52
Approved
Vineland (Parent and Caregiver) info icon
98407/15/2008
363
Approved
Imaging (Structural, fMRI, DTI, PET, microscopy) info icon
6507/15/2008
0
Approved
EEG info icon
31207/15/2014
0
Approved
Structure not yet defined
No Status history for this Data Expected has been recorded yet
helpcenter.collection.data-expected-tab

NDA Help Center

Collection - Data Expected

The Data Expected tab displays the list of all data that NDA expects to receive in association with the Collection as defined by the contributing researcher, as well as the dates for the expected initial upload of the data, and when it is first expected to be shared, or with the research community. Above the primary table of Data Expected, any publications determined to be relevant to the data within the Collection are also displayed - members of the contributing research group can use these to define NDA Studies, connecting those papers to underlying data in NDA.

The tab is used both as a reference for those accessing shared data, providing information on what is expected and when it will be shared, and as the primary tracking mechanism for contributing projects. It is used by both contributing primary researchers, secondary researchers, and NIH Program and Grants Management staff.

Researchers who are starting their project need to update their Data Expected list to include all the Data Structures they are collecting under their grant and set their initial submission and sharing schedule according to the NDA Data Sharing Regimen.

To add existing Data Structures from the Data Dictionary, to request new Data Structure that are not in the Dictionary, or to request changes to existing Data Structures, click "+New Data Expected".

For step-by-step instructions on how to add existing Data Structures, request changes to an existing Structure, or request a new Data Structure, please visit the Completing Your Data Expected Tutorial.

If you are a contributing researcher creating this list for the first time, or making changes to the list as your project progress, please note the following:

  • Although items you add to the list and changes you make are displayed, they are not committed to the system until you Save the entire page using the "Save" button at the bottom of your screen. Please Save after every change to ensure none of your work is lost.
  • If you attempt to add a new structure, the title you provide must be unique - if another structure exists with the same name your change will fail.
  • Adding a new structure to this list is the only way to request the creation of a new Data Dictionary definition.

Frequently Asked Questions

  • What is an NDA Data Structure?
    An NDA Data Structure is comprised of multiple Data Elements to make up an electronic definition of an assessment, measure, questionnaire, etc will have a corresponding Data Structure.
  • What is the NDA Data Dictionary?
    The NDA Data Dictionary is comprised of electronic definitions known as Data Structures.

Glossary

  • Analyzed Data
    Data specific to the primary aims of the research being conducted (e.g. outcome measures, other dependent variables, observations, laboratory results, analyzed images, volumetric data, etc.) including processed images.
  • Data Item
    Items listed on the Data Expected list in the Collection which may be an individual and discrete Data Structure, Data Structure Category, or Data Structure Group.
  • Data Structure
    A defined organization and group of Data Elements to represent an electronic definition of a measure, assessment, questionnaire, or collection of data points. Data structures that have been defined in the NDA Data Dictionary are available at https://nda.nih.gov/general-query.html?q=query=data-structure
  • Data Structure Category
    An NDA term describing the affiliation of a Data Structure to a Category, which may be disease/disorder or diagnosis related (Depression, ADHD, Psychosis), specific to data type (MRI, eye tracking, omics), or type of data (physical exam, IQ).
  • Data Structure Group
    A Data Item listed on the Data Expected tab of a Collection that indicates a group of Data Structures (e.g., ADOS or SCID) for which data may be submitted instead of a specific Data Structure identified by version, module, edition, etc. For example, the ADOS Data Structure Category includes every ADOS Data Structure such as ADOS Module 1, ADOS Module 2, ADOS Module 1 - 2nd Edition, etc. The SCID Data Structure Group includes every SCID Data Structure such as SCID Mania, SCID V Mania, SCID PTSD, SCID-V Diagnosis, and more.
  • Evaluated Data
    A new Data Structure category, Evaluated Data is analyzed data resulting from the use of computational pipelines in the Cloud and can be uploaded directly back to a miNDAR database. Evaluated Data is expected to be listed as a Data Item in the Collection's Data Expected Tab.
  • Imaging Data
    Imaging+ is an NDA term which encompasses all imaging related data including, but not limited to, images (DTI, MRI, PET, Structural, Spectroscopy, etc.) as well as neurosignal data (EEG, fMRI, MEG, EGG, eye tracking, etc.) and Evaluated Data.
  • Initial Share Date
    Initial Submission and Initial Share dates should be populated according to the NDA Data Sharing Terms and Conditions. Any modifications to these will go through the approval processes outlined above. Data will be shared with authorized users upon publication (via an NDA Study) or 1-2 years after the grant end date specified on the first Notice of Award, as defined in the applicable Data Sharing Terms and Conditions.
  • Initial Submission Date
    Initial Submission and Initial Share dates should be populated according to these NDA Data Sharing Terms and Conditions. Any modifications to these will go through the approval processes outlined above. Data for all subjects is not expected on the Initial Submission Date and modifications may be made as necessary based on the project's conduct.
  • Research Subject and Pedigree
    An NDA created Data Structure used to convey basic information about the subject such as demographics, pedigree (links family GUIDs), diagnosis/phenotype, and sample location that are critical to allow for easier querying of shared data.
  • Submission Cycle
    The NDA has two Submission Cycles per year - January 15 and July 15.
  • Submission Exemption
    An interface to notify NDA that data may not be submitted during the upcoming/current submission cycle.

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 NameAbstractCollection/Study SubjectsData UsageState
Examining the validity of the use of ratio IQs in psychological assessments IQ tests are amongst the most used psychological assessments, both in research and clinical settings. For participants who cannot complete IQ tests normed for their age, ratio IQ scores (RIQ) are routinely computed and used as a proxy of IQ, especially in large research databases to avoid missing data points. However, because it has never been scientifically validated, this practice is questionable. In the era of big data, it is important to examine the validity of this widely used practice. In this paper, we use the case of autism to examine the differences between standard full-scale IQ (FSIQ) and RIQ. Data was extracted from four databases in which ages, FSIQ scores and subtests raw scores were available for autistic participants between 2 and 17 years old. The IQ tests included were the MSEL (N=12033), DAS-II early years (N=1270), DAS-II school age (N=2848), WISC-IV (N=471) and WISC-V (N=129). RIQs were computed for each participant as well as the discrepancy (DSC) between RIQ and FSIQ. We performed two linear regressions to respectively assess the effect of FSIQ and of age on the DSC for each IQ test, followed by additional analyses comparing age subgroups as well as FSIQ subgroups on DSC. Participants at the extremes of the FSIQ distribution tended to have a greater DSC than participants with average FSIQ. Furthermore, age significantly predicted the DSC, with RIQ superior to FSIQ for younger participants while the opposite was found for older participants. These results question the validity of this widely used alternative scoring method, especially for individuals at the extremes of the normal distribution, with whom RIQs are most often employed.300/17423Secondary AnalysisShared
The importance of low IQ to early diagnosis of autismSome individuals can flexibly adapt to life’s changing demands while others, in particular those with Autism Spectrum Disorder (ASD), find it challenging. The origin of early individual differences in cognitive abilities, the putative tools with which to navigate novel information in life, including in infants later diagnosed with ASD remains unexplored. Moreover, the role of intelligence quotient (IQ) vis-à-vis core features of autism remains debated. We systematically investigate the contribution of early IQ in future autism outcomes in an extremely large, population-based study of 8,000 newborns, infants, and toddlers from the US between 2 and 68 months with over 15,000 cross-sectional and longitudinal assessments, and for whom autism outcomes are ascertained or ruled out by about 2-4 years. This population is representative of subjects involved in the National Institutes of Health (NIH)-funded research, mainly on atypical development, in the US. Analyses using predetermined age bins showed that IQ scores are consistently lower in ASD relative to TD at all ages (p<0.001), and IQ significantly correlates with calibrated severity scores (total CSS, as well as non-verbal and verbal CSS) on the ADOS. Note, VIQ is no better than the full-scale IQ to predict ASD cases. These findings raise new, compelling questions about potential atypical brain circuitry affecting performance in both verbal and nonverbal abilities and that precede an ASD diagnosis. This study is the first to establish prospectively that low early IQ is a major feature of ASD in early childhood. 190/6323Secondary AnalysisShared
Prognostic early snapshot stratification of autism based on adaptive functioningA major goal of precision medicine is to predict prognosis based on individualized information at the earliest possible points in development. Using early snapshots of adaptive functioning and unsupervised data- driven discovery methods, we uncover highly stable early autism subtypes that yield information relevant to later prognosis. Data from the National Institute of Mental Health Data Archive (NDA) (n = 1,098) was used to uncover three early subtypes (<72 months) that generalize with 96% accuracy. Outcome data from NDA (n = 2,561; mean age, 13 years) also reproducibly clusters into three subtypes with 99% generalization accuracy. Early snapshot subtypes predict developmental trajectories in non-verbal cognitive, language and motor domains and are predictive of membership in different adaptive functioning outcome subtypes. Robust and prognosis- relevant subtyping of autism based on early snapshots of adaptive functioning may aid future research work via prediction of these subtypes with our reproducible stratification model.3/3517Secondary AnalysisShared
Unravelling the Collective Diagnostic Power Behind the Features in the Autism Diagnostic Observation ScheduleBackground: Autism is a group of heterogeneous disorders defined by deficits in social interaction and communication. Typically, diagnosis depends on the results of a behavioural examination called the Autism Diagnostic Observation Schedule (ADOS). Unfortunately, administration of the ADOS exam is time-consuming and requires a significant amount of expert intervention, leading to delays in diagnosis and access to early intervention programs. The diagnostic power of each feature in the ADOS exam is currently unknown. Our hypothesis is that certain features could be removed from the exam without a significant reduction in diagnostic accuracy, sensitivity or specificity. Objective: Determine the smallest subset of predictive features in ADOS module-1 (an exam variant for patients with minimal verbal skills). Methodology: ADOS module-1 datasets were acquired from the Autism Genetic Resource Exchange and the National Database for Autism Research. The datasets contained 2572 samples with the following labels: autism (1763), autism spectrum (513), and non-autism (296). The datasets were used as input to 4 different cost-sensitive classifiers in Weka (functional trees, LADTree, logistic model trees, and PART). For each classifier, a 10-fold cross validation was preformed and the number of predictive features, accuracy, sensitivity, and specificity was recorded. Results & Conclusion: Each classifier resulted in a reduction of the number of ADOS features required for autism diagnosis. The LADtree classifier was able to obtain the largest reduction, utilizing only 10 of 29 ADOS module-1 features (96.8% accuracy, 96.9% sensitivity, and 95.9% specificity). Overall, these results are a step towards a more efficient behavioural exam for autism diagnosis. 20/1832Secondary AnalysisShared
Imbalanced social-communicative and restricted repetitive behavior subtypes in autism spectrum disorder exhibit different neural circuitrySocial-communication (SC) and restricted repetitive behaviors (RRB) are autism diagnostic symptom domains. SC and RRB severity can markedly differ within and between individuals and may be underpinned by different neural circuitry and genetic mechanisms. Modeling SC-RRB balance could help identify how neural circuitry and genetic mechanisms map onto such phenotypic heterogeneity. Here, we developed a phenotypic stratification model that makes highly accurate (97–99%) out-of-sample SC = RRB, SC > RRB, and RRB > SC subtype predictions. Applying this model to resting state fMRI data from the EU-AIMS LEAP dataset (n = 509), we find that while the phenotypic subtypes share many commonalities in terms of intrinsic functional connectivity, they also show replicable differences within some networks compared to a typically-developing group (TD). Specifically, the somatomotor network is hypoconnected with perisylvian circuitry in SC > RRB and visual association circuitry in SC = RRB. The SC = RRB subtype show hyperconnectivity between medial motor and anterior salience circuitry. Genes that are highly expressed within these networks show a differential enrichment pattern with known autism-associated genes, indicating that such circuits are affected by differing autism-associated genomic mechanisms. These results suggest that SC-RRB imbalance subtypes share many commonalities, but also express subtle differences in functional neural circuitry and the genomic underpinnings behind such circuitry.1/1708Secondary AnalysisShared
Automated Autism Diagnosis using Phenotypic and Genotypic Attributes: Phase IThe ultimate goal of this project is to develop a predictive system that can automate the diagnosis process for autism using phenotypic and genotypic attributes for classification. At this time, only a first phase is being pursued: starting with scores from Autism Diagnostic Observation Schedule (ADOS) reports, use data-mining techniques to select the smallest set of the most informative evaluation points that can lead to similar behavioral diagnoses as using all report features. The effort began in March, 2016 after data access to NDAR was granted. This report describes the results from that date through the end of December 2016.18/1045Secondary AnalysisShared
Predictors of self-injurious behaviour exhibited by individuals with autism spectrum disorderPresence of an autism spectrum disorder is a risk factor for development of self-injurious behaviour (SIB) exhibited by individuals with developmental disorders. The most salient SIB risk factors historically studied within developmental disorders are level of intellectual disability, communication deficits and presence of specific genetic disorders. Recent SIB research has expanded the search for risk factors to include less commonly studied variables for people with developmental disorders: negative affect, hyperactivity and impulsivity.45/589Secondary AnalysisShared
The Sensitivity and Specificity of the Social Communication Questionnaire for Autism Spectrum Disorder with Respect to AgeScientific Abstract The Social Communication Questionnaire (SCQ) assesses communication skills and social functioning in screening for symptoms of autism-spectrum disorder (ASD). The SCQ is recommended for individuals between 4 to 40 years with a cutoff score of 15 for referral. Mixed findings have been reported regarding the recommended cutoff score’s ability to accurately classify an individual as at-risk for ASD (sensitivity) versus an individual as not at-risk for ASD (specificity). Based on a sample from the National Database for Autism Research (n=344; age: 1.58 to 25.92 years old), the present study examined the SCQ’s sensitivity versus specificity across a range of ages. We recommend that the cutoff scores for the SCQ be re-evaluated with age as a consideration. Lay Abstract The age neutrality of the Social Communication Questionnaire (SCQ) was examined as a common screener for ASD. Mixed findings have been reported regarding the recommended cutoff score’s ability to accurately classify an individual as at-risk for ASD (sensitivity) versus accurately classifying an individual as not at-risk for ASD (specificity). With a sample from the National Database for Autism Research, the present study examined the SCQ’s sensitivity versus specificity. Analyses indicated that the actual sensitivity and specificity scores were lower than initially reported by the creators of the SCQ.1/339Secondary AnalysisShared
comparing EEG metrics during eyes closed versus eyes open rest in autismUnderstanding the complex relationship between brain dynamics and mental disorders has proved difficult. Sample sizes have often been small, and brain dynamics have often been evaluated in only one state. Here, data obtained from the NIMH data archive were used to create a sample of 395 individuals with both eyes open and eyes closed resting state EEG data. All data were submitted to a standard pipeline to extract power spectra, peak alpha frequency, the slope of the 1/f curve, multi scale sample entropy, phase amplitude coupling, and intersite phase clustering. These data along with the survey data collected at the time of data collection form a valuable resource for interogating the relationship between brain state changes and autism diagnosis.2/336Secondary AnalysisShared
Word Learning and Word FeaturesVocabulary composition and word-learning biases are closely interrelated in typical development. Learning new words involves attending to certain properties to facilitate word learning. Such word-learning biases are influenced by perceptually and conceptually salient word features, including high imageability, concreteness, and iconicity. This study examined the association of vocabulary knowledge and word features in young children with ASD (n = 280) and typically developing (TD) toddlers (n = 1,054). Secondary analyses were conducted using data from the National Database for Autism Research and the Wordbank database. Expressive vocabulary was measured using the MacArthur-Bates Communicative Development Inventory. Although the trajectories for concreteness, iconicity, and imageability are similar between children with ASD and TD toddlers, divergences were observed. Differences in imageability are seen early but resolve to a common trajectory; differences in iconicity are small but consistent; and differences in concreteness only emerge after both groups reach a simultaneous peak, before converging again. This study reports unique information about the nonlinear growth patterns associated with each word feature for and distinctions in these growth patterns between the groups.6/280Primary AnalysisShared
Semantic modeling 2023Although it is well documented that children with ASD are slower to develop their lexicons, we still have a limited understanding of the structure of early lexical knowledge in children with ASD. The current study uses network analysis and differential item functioning anlaysis to examine the structure of semantic knowledge, which may provide insight into the learning processes that influence early word learning.6/208Secondary AnalysisShared
* Data not on individual level
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Collection - Associated Studies

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