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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%

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You have requested to move the sharing dates for the following assessments:
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Collection Summary Collection Charts
Collection Title Collection Investigators Collection Description
Biological and Information Processing Mechanisms Underlying Autism
Nancy Minshew, M.D., Mark Strauss, Ph.D., Kevin Pelphrey, Ph.D., Marcel Just, Ph.D., Thomas Mitchell, Ph.D., and Diane Williams, Ph.D. 
This center focuses on elucidating fundamental information processing and neurobiological mechanisms causing autism with studies of infant siblings, first-diagnosed toddlers, and groups of children, adolescents, and adults with and without autism. Project I: Development of Categorization Knowledge in Low Functioning Autism focuses on the earliest manifestations of autism and information processing mechanisms underlying social and cognitive symptoms. Project II: Disturbances of Affective Contact: Development of Brain Mechanisms for Emotion Processing focuses on how individuals with autism experience, understand and regulate emotion; genetic influences are also considered; Project III: Systems Connectivity Activation: Imaging Studies of Language focuses on delineating disturbances in functional brain connectivity underlying the impaired processing of information and innovative machine-learning studies of how the brain identifies and categorizes words.
NIMH Data Archive
04/01/2008
Autism Centers of Excellence (ACE), NIMH Repository & Genomics Resource (NRGR)
Funding Completed
Close Out
No
$6,010,058.00
1,064
Loading Chart...
NIH - Extramural None



P50HD055748-01 Biological and Information Processing Mechanisms Underlying Autism 08/06/2007 07/31/2012 1345 692 UNIVERSITY OF PITTSBURGH AT PITTSBURGH $6,010,058.00

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
No records found.
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.
Autism Diagnostic Interview, Revised (ADI-R) Clinical Assessments 237
Autism Diagnostic Observation Schedule (ADOS) - Module 4 Clinical Assessments 219
Autism Diagnostic Observation Schedule (ADOS)- Module 1 Clinical Assessments 102
Autism Diagnostic Observation Schedule (ADOS)- Module 2 Clinical Assessments 76
Autism Diagnostic Observation Schedule (ADOS)- Module 3 Clinical Assessments 110
Benton Facial Recognition Test Clinical Assessments 354
CELF-4 Clinical Eval of Lang Fundamentals, 4th ed Clinical Assessments 33
CHARGE Family Characteristics Questionnaire Clinical Assessments 415
CHARGE Medical History Clinical Assessments 315
CHARGE Physical Exam Clinical Assessments 299
Child Behavior Checklist (CBCL) 6-18 Clinical Assessments 128
Children's Communication Checklist - 2 Clinical Assessments 102
Children's Memory Scale (CMS) - Ages 5 to 8 Clinical Assessments 34
Children's Memory Scale (CMS) - Ages 9 to 16 Clinical Assessments 126
Demographics - Pittsburgh Clinical Assessments 1035
Finger Tapping Test Clinical Assessments 366
Grooved Pegboard Test Clinical Assessments 361
Image Imaging 75
Laterality Dominance Clinical Assessments 458
M-CHAT Clinical Assessments 94
MacArthur-Bates CDI - Words and Gestures Form Clinical Assessments 88
MacArthur-Bates CDI - Words and Sentences Form Clinical Assessments 67
Modified CHARGE Family Medical History (2007) Clinical Assessments 415
Mullen Scales of Early Learning Clinical Assessments 141
NEO Five-Factor Inventory Form S Adult Clinical Assessments 61
Reading the Mind in the Eyes Task (RMET) Clinical Assessments 380
Research Subject Clinical Assessments 813
Social Communication Questionnaire (SCQ) - Lifetime Clinical Assessments 325
Social Responsiveness Scale (SRS) Clinical Assessments 175
Test of Language Competence Expanded Edition Clinical Assessments 349
Theory of Mind John and Mary Clinical Assessments 220
Theory of Mind Peter and Jane Clinical Assessments 220
Theory of Mind Sally and Anne Clinical Assessments 220
Twenty Questions Task Clinical Assessments 37
Vineland-II - Parent and Caregiver Rating Form (2005) Clinical Assessments 406
Wechsler Abbreviated Scale of Intelligence (WASI) Clinical Assessments 463
Wide Range Achievement Test 4 (WRAT4) Clinical Assessments 459
Woodcock Johnson Tests of Cognitive Abilities and Tests of Achievement Clinical Assessments 37
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
36254470Create StudyBidding on the go: Links between walking, social actions, and caregiver responses in infant siblings of children with autism spectrum disorder.Autism research : official journal of the International Society for Autism ResearchCalabretta, Bianca T; Schneider, Joshua L; Iverson, Jana MDecember 1, 2022Not Determined
35338994Create StudyObject label and category knowledge among toddlers at risk for autism spectrum disorder: An application of the visual array task.Infant behavior & developmentHauschild, Kathryn M; Pomales-Ramos, Anamiguel; Strauss, Mark SMay 1, 2022Not Determined
34539812Create StudyThe Impact of Sleep Quality on Quality of Life for Autistic Adults.Research in autism spectrum disordersMcLean, Kiley J; Eack, Shaun M; Bishop, LaurenOctober 1, 2021Not Determined
33200351Create StudyObserved Social Emotional Behavior at 22 Months Predicts a Later ASD Diagnosis in High-Risk Siblings.Journal of autism and developmental disordersNorthrup, Jessie B; Leezenbaum, Nina B; Campbell, Susan BSeptember 1, 2021Not Determined
32640086Create StudyThe visual array task: A novel gaze-based measure of object label and category knowledge.Developmental scienceHauschild, Kathryn M; Pomales-Ramos, Anamiguel; Strauss, Mark SMarch 1, 2021Not Determined
32106690Create StudyNeural features of sustained emotional information processing in autism spectrum disorder.Autism : the international journal of research and practiceMazefsky, Carla A; Collier, Amanda; Golt, Josh; Siegle, Greg JMay 2020Not Determined
32073209Create StudyReduced White Matter Integrity and Deficits in Neuropsychological Functioning in Adults With Autism Spectrum Disorder.Autism research : official journal of the International Society for Autism ResearchHaigh, Sarah M; Keller, Timothy A; Minshew, Nancy J; Eack, Shaun MMay 2020Not Determined
31655160Create StudyWhite matter structure in schizophrenia and autism: Abnormal diffusion across the brain in schizophrenia.NeuropsychologiaHaigh, Sarah M; Eack, Shaun M; Keller, Timothy; Minshew, Nancy J; Behrmann, MarleneDecember 2019Not Determined
31602179Create StudyLook at Mommy: An Exploratory Study of Attention-Related Communication in Mothers of Toddlers at Risk for Autism.Language learning and development : the official journal of the Society for Language DevelopmentJakubowski, Karen P; Iverson, Jana MJanuary 2019Not Determined
31136606Create StudyMotor performance in a shape sorter task: A longitudinal study from 14 to 36 months of age in children with an older sibling ASD.PloS oneTaffoni, Fabrizio; Focaroli, Valentina; Keller, Flavio; Iverson, Jana MarieJanuary 2019Not Determined
30833582Create StudyAtypical functional connectome hierarchy in autism.Nature communicationsHong, Seok-Jun; Vos de Wael, Reinder; Bethlehem, Richard A I; Lariviere, Sara; Paquola, Casey; Valk, Sofie L; Milham, Michael P; Di Martino, Adriana; Margulies, Daniel S; Smallwood, Jonathan; Bernhardt, Boris CMarch 2019Not Determined
30488152Create StudyParents'' Use of Internal State Language with Toddlers at High and Low Genetic Risk for Autism Spectrum Disorder.Journal of autism and developmental disordersCampbell, Susan B; Mahoney, Amanda S; Brownell, Celia A; Moore, Elizabeth L; Tavares, Amy BApril 2019Not Determined
30350906Create StudyWord comprehension mediates the link between gesture and word production: Examining language development in infant siblings of children with autism spectrum disorder.Developmental scienceRoemer, Emily J; West, Kelsey L; Northrup, Jessie B; Iverson, Jana MMay 2019Not Determined
30165745Create StudyResistance to temptation in toddlers at genetic risk for autism spectrum disorder.Autism : the international journal of research and practiceCampbell SB, Northrup JB, Tavares ABMay 2019Not Determined
30079576Create StudyCoordination is key: Joint attention and vocalisation in infant siblings of children with Autism Spectrum Disorder.International journal of language & communication disordersHeymann, Perrine; Northrup, Jessie B; West, Kelsey L; Parladé, Meaghan V; Leezenbaum, Nina B; Iverson, Jana MSeptember 2018Not Determined
29703592Create StudyPersonalized Intrinsic Network Topography Mapping and Functional Connectivity Deficits in Autism Spectrum Disorder.Biological psychiatryDickie, Erin W; Ameis, Stephanie H; Shahab, Saba; Calarco, Navona; Smith, Dawn E; Miranda, Dayton; Viviano, Joseph D; Voineskos, Aristotle NAugust 2018Not Determined
29500756Create StudyProcessing Speed is Impaired in Adults with Autism Spectrum Disorder, and Relates to Social Communication Abilities.Journal of autism and developmental disordersHaigh, Sarah M; Walsh, Jennifer A; Mazefsky, Carla A; Minshew, Nancy J; Eack, Shaun MAugust 2018Not Determined
29286586Create StudyCognitive enhancement therapy for adult autism spectrum disorder: Results of an 18-month randomized clinical trial.Autism research : official journal of the International Society for Autism ResearchEack, Shaun M; Hogarty, Susan S; Greenwald, Deborah P; Litschge, Maralee Y; Porton, Shannondora A; Mazefsky, Carla A; Minshew, Nancy JMarch 2018Not Determined
29058782Create StudyThe Relation Between Walking and Language in Infant Siblings of Children With Autism Spectrum Disorder.Child developmentWest, Kelsey L; Leezenbaum, Nina B; Northrup, Jessie B; Iverson, Jana MMay 2019Not Determined
28968847Create StudyMultidimensional Neuroanatomical Subtyping of Autism Spectrum Disorder.Cerebral cortex (New York, N.Y. : 1991)Hong SJ, Valk SL, Di Martino A, Milham MP, Bernhardt BCOctober 2018Not Determined
28900778Create StudyEarly Gesture and Vocabulary Development in Infant Siblings of Children with Autism Spectrum Disorder.Journal of autism and developmental disordersIverson, Jana M; Northrup, Jessie B; Leezenbaum, Nina B; Parladé, Meaghan V; Koterba, Erin A; West, Kelsey LJanuary 2018Not Determined
28839456Create StudyCorrelates of Social Functioning in Autism Spectrum Disorder: The Role of Social Cognition.Research in autism spectrum disordersBishop-Fitzpatrick, Lauren; Mazefsky, Carla A; Eack, Shaun M; Minshew, Nancy JMarch 2017Not Determined
28685398Create StudyDevelopmental Changes in Pretend Play from 22- to 34-Months in Younger Siblings of Children with Autism Spectrum Disorder.Journal of abnormal child psychologyCampbell, Susan B; Mahoney, Amanda S; Northrup, Jessie; Moore, Elizabeth L; Leezenbaum, Nina B; Brownell, Celia AApril 2018Not Determined
28593600Create StudyDevelopmental Changes in Empathic Concern and Self-Understanding in Toddlers at Genetic Risk for Autism Spectrum Disorder.Journal of autism and developmental disordersCampbell, Susan B; Moore, Elizabeth L; Northrup, Jessie; Brownell, Celia ASeptember 1, 2017Not Determined
28291247Create StudyEnhancing studies of the connectome in autism using the autism brain imaging data exchange II.Scientific dataDi Martino, Adriana; O'Connor, David; Chen, Bosi; Alaerts, Kaat; Anderson, Jeffrey S; Assaf, Michal; Balsters, Joshua H; Baxter, Leslie; Beggiato, Anita; Bernaerts, Sylvie; Blanken, Laura M E; Bookheimer, Susan Y; Braden, B Blair; Byrge, Lisa; Castellanos, F Xavier; Dapretto, Mirella; Delorme, Richard; Fair, Damien A; Fishman, Inna; Fitzgerald, Jacqueline; Gallagher, Louise; Keehn, R Joanne Jao; Kennedy, Daniel P; Lainhart, Janet E; Luna, Beatriz; Mostofsky, Stewart H; Müller, Ralph-Axel; Nebel, Mary Beth; Nigg, Joel T; O'Hearn, Kirsten; Solomon, Marjorie; Toro, Roberto; Vaidya, Chandan J; Wenderoth, Nicole; White, Tonya; Craddock, R Cameron; Lord, Catherine; Leventhal, Bennett; Milham, Michael PMarch 2017Not Relevant
27748031Create StudyFunctional connectivity differences in autism during face and car recognition: underconnectivity and atypical age-related changes.Developmental scienceLynn, Andrew C; Padmanabhan, Aarthi; Simmonds, Daniel; Foran, William; Hallquist, Michael N; Luna, Beatriz; O'Hearn, KirstenJanuary 2018Not Determined
27696184Create StudyPerception of Life as Stressful, Not Biological Response to Stress, is Associated with Greater Social Disability in Adults with Autism Spectrum Disorder.Journal of autism and developmental disordersBishop-Fitzpatrick, Lauren; Minshew, Nancy J; Mazefsky, Carla A; Eack, Shaun MJanuary 2017Not Determined
27314943Create StudyAssociations between gross motor and communicative development in at-risk infants.Infant behavior & developmentLeBarton, Eve Sauer; Iverson, Jana MAugust 2016Not Determined
27242630Create StudyPerformance of Motor Sequences in Children at Heightened vs. Low Risk for ASD: A Longitudinal Study from 18 to 36 Months of Age.Frontiers in psychologyFocaroli, Valentina; Taffoni, Fabrizio; Parsons, Shelby M; Keller, Flavio; Iverson, Jana MJanuary 2016Not Determined
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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 2009Not Determined
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19765010Create StudyThe development of emotion recognition in individuals with autism.Child developmentRump, Keiran M; Giovannelli, Joyce L; Minshew, Nancy J; Strauss, Mark SJanuary 2009Not Determined
19708061Create StudyShared and idiosyncratic cortical activation patterns in autism revealed under continuous real-life viewing conditions.Autism research : official journal of the International Society for Autism ResearchHasson, Uri; Avidan, Galia; Gelbard, Hagar; Vallines, Ignacio; Harel, Michal; Minshew, Nancy; Behrmann, MarleneAugust 2009Not Determined
19520362Create StudyA preliminary longitudinal magnetic resonance imaging study of brain volume and cortical thickness in autism.Biological psychiatryHardan, Antonio Y; Libove, Robin A; Keshavan, Matcheri S; Melhem, Nadine M; Minshew, Nancy JAugust 15, 2009Not Determined
19422619Create StudyAction understanding in the superior temporal sulcus region.Psychological scienceWyk BC, Hudac CM, Carter EJ, Sobel DM, Pelphrey KAJune 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
19360658Create StudyMissing the big picture: impaired development of global shape processing in autism.Autism research : official journal of the International Society for Autism ResearchScherf, K Suzanne; Luna, Beatriz; Kimchi, Ruth; Minshew, Nancy; Behrmann, MarleneApril 2008Not Determined
19360650Create StudyCortical patterns of category-selective activation for faces, places and objects in adults with autism.Autism research : official journal of the International Society for Autism ResearchHumphreys K, Hasson U, Avidan G, Minshew N, Behrmann MFebruary 2008Not Determined
19232577Create StudyLateralized response timing deficits in autism.Biological psychiatryD'Cruz AM, Mosconi MW, Steele S, Rubin LH, Luna B, Minshew N, Sweeney JAAugust 2009Not Determined
19165587Create StudyCorpus callosum volume and neurocognition in autism.Journal of autism and developmental disordersKeary, Christopher J; Minshew, Nancy J; Bansal, Rahul; Goradia, Dhruman; Fedorov, Serguei; Keshavan, Matcheri S; Hardan, Antonio YJune 2009Not Determined
18954478Create StudyPatterns of visual sensory and sensorimotor abnormalities in autism vary in relation to history of early language delay.Journal of the International Neuropsychological Society : JINSTakarae, Yukari; Luna, Beatriz; Minshew, Nancy J; Sweeney, John ANovember 2008Not Determined
18954474Create StudyNeuronal fiber pathway abnormalities in autism: an initial MRI diffusion tensor tracking study of hippocampo-fusiform and amygdalo-fusiform pathways.Journal of the International Neuropsychological Society : JINSConturo TE, Williams DL, Smith CD, Gultepe E, Akbudak E, Minshew NJNovember 2008Not Relevant
18812009Create StudyBrainstem volumetric alterations in children with autism.Psychological medicineJou, R J; Minshew, N J; Melhem, N M; Keshavan, M S; Hardan, A YAugust 2009Not Determined
18633829Create StudyAtypical frontal-posterior synchronization of Theory of Mind regions in autism during mental state attribution.Social neuroscienceKana, Rajesh K; Keller, Timothy A; Cherkassky, Vladimir L; Minshew, Nancy J; Just, Marcel Adam2009Not Determined
18516234Create StudyDo individuals with high functioning autism have the IQ profile associated with nonverbal learning disability?Research in autism spectrum disordersWilliams, Diane L; Goldstein, Gerald; Kojkowski, Nicole; Minshew, Nancy JJune 2008Not Determined
18508243Create StudyAn MRI and proton spectroscopy study of the thalamus in children with autism.Psychiatry researchHardan AY, Minshew NJ, Melhem NM, Srihari S, Jo B, Bansal R, Keshavan MS, Stanley JAJuly 15, 2008Not Determined
18444708Create StudyThe structure of intelligence in children and adults with high functioning autism.NeuropsychologyGoldstein, Gerald; Allen, Daniel N; Minshew, Nancy J; Williams, Diane L; Volkmar, Fred; Klin, Ami; Schultz, Robert TMay 2008Not Determined
18422548Create StudyAtypical development of face and greeble recognition in autism.Journal of child psychology and psychiatry, and allied disciplinesScherf, K Suzanne; Behrmann, Marlene; Minshew, Nancy; Luna, BeatrizAugust 2008Not Determined
18302014Create StudySensory sensitivities and performance on sensory perceptual tasks in high-functioning individuals with autism.Journal of autism and developmental disordersMinshew, Nancy J; Hobson, Jessica ASeptember 2008Not Determined
18188537Create StudyVariability in adaptive behavior in autism: evidence for the importance of family history.Journal of abnormal child psychologyMazefsky CA, Williams DL, Minshew NJMay 2008Not Relevant
17869314Create StudyTheory of Mind disruption and recruitment of the right hemisphere during narrative comprehension in autism.NeuropsychologiaMason, Robert A; Williams, Diane L; Kana, Rajesh K; Minshew, Nancy; Just, Marcel AdamJanuary 2008Not Determined
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
1,97707/15/2008
813
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
1,97707/15/2008
141
Approved
Genomics/omics info icon
1,97707/31/2013
0
Approved
Childrens Memory Scale (CMS) info icon
1,97709/01/2012
158
Approved
ADOS info icon
1,97707/15/2008
455
Approved
Woodcock-Johnson Tests of Cognitive Abilities and Achievement info icon
1,97709/01/2012
37
Approved
ADI-R info icon
1,97707/15/2008
237
Approved
Reading the Mind in the Eyes info icon
1,97709/01/2012
380
Approved
Medical History info icon
1,97707/15/2008
428
Approved
Social Responsiveness Scale (SRS) info icon
1,97707/15/2008
175
Approved
Wechsler Abbreviated Scale of Intelligence (WASI) info icon
1,97707/15/2008
463
Approved
NEO Personality Inventory info icon
1,97709/01/2012
61
Approved
Social Communication Questionnaire (SCQ) info icon
1,97707/15/2008
325
Approved
Demographics info icon
1,97707/15/2008
1,035
Approved
Child Behavior Checklist (CBCL) info icon
1,97709/01/2012
128
Approved
Childrens Communication Checklist-2 (CCC-2) info icon
1,97709/01/2012
102
Approved
Grooved Pegboard Test info icon
1,97709/01/2012
361
Approved
M-CHAT info icon
1,97709/01/2012
94
Approved
Test of Language Competence - Expanded Edition (TLC-E) info icon
1,97709/01/2012
349
Approved
Finger Tapping Test info icon
1,97709/01/2012
366
Approved
Laterality Dominance info icon
1,97709/01/2012
458
Approved
Theory of Mind info icon
1,97709/01/2012
220
Approved
Twenty Questions Task info icon
1,97709/01/2012
37
Approved
MacArthur Bates Communicative Development Inventory info icon
1,97709/01/2012
92
Approved
Benton Facial Recognition Test (BFRT) info icon
1,97709/01/2012
354
Approved
Physical Exam info icon
1,97707/15/2008
299
Approved
Clinical Evaluation of Language Fundamentals (CELF) info icon
1,97709/01/2012
33
Approved
Wide Range Achievement Test info icon
1,97709/01/2012
459
Approved
Vineland (Parent and Caregiver) info icon
1,97707/15/2008
406
Approved
Imaging (Structural, fMRI, DTI, PET, microscopy) info icon
1,97709/01/2012
75
Approved
EEG info icon
1,97707/15/2014
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.141/17423Secondary 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. 138/6323Secondary 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.176/3517Secondary AnalysisShared
Psychometric Analysis of the Social Communication Questionnaire Using an Item-Response Theory Framework: Implications for the Use of the Lifetime and Current FormsThe Social Communication Questionnaire (SCQ) was developed as a screener of Autism Spectrum Disorder (ASD). To date, the majority of the SCQ utility studies focused on its external validity (e.g., ROC curve analyses), but very few have addressed the internal validity issues. With samples consisting of 2,134 individuals available from the National Database for Autism Research (NDAR), the current study examined the factor structure, item-level characteristics, and measurement equivalence of the SCQ forms (i.e., Lifetime form and Current form) using both the classical true score theory and the item response theory (IRT). While our findings indicate sufficient psychometric properties of the SCQ Lifetime form, measurement issues emerged with respect to the SCQ Current form. These issues include lower internal consistencies, a weaker factor structure, lower item discriminations, significant pseudo-guessing effects, and subscale-level measurement bias. Thus, we caution researchers and clinicians about the use of the SCQ Current form. In particular, it seems inappropriate to use the Current form as an alternative to the Lifetime form among children younger than 5 years old or under other special situations (e.g., teacher-report data), although such practices were advised by the publisher of the SCQ. Instead, we recommend modifying the wording of the Lifetime form items rather than switching to the Current form where a 3-month timeframe is specified for responding to SCQ items. Future studies may consider investigating the association between the temporality of certain behaviors and the individual’s potential for being diagnosed with ASD, as well as the age neutrality of the SCQ.277/2054Secondary 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. 101/1832Secondary 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.167/1708Secondary AnalysisShared
Derivation of Brain Structure Volumes from MRI Neuroimages hosted by NDAR using C-PAC pipeline and ANTsAn 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.38/1428Secondary AnalysisShared
Revising the Social Communication Questionnaire scoring procedures for Autism Spectrum Disorder and potential Social Communication DisorderIn analyzing data from the National Database for Autism Research, we examine revising the Social Communication Questionnaire (SCQ), a commonly used screening instrument for Autism Spectrum Disorder. A combination of Item Response Theory and Mokken scaling techniques were utilized to achieve this and abbreviated scoring of the SCQ is suggested. The psychometric sensitivity of this abbreviated SCQ was examined via bootstrapped Receiver Operator Characteristic (ROC) curve analyses. Additionally, we examined the sensitivity of the abbreviated and total scaled SCQ as it relates to a potential diagnosis of Social (Pragmatic) Communication Disorder (SCD). As SCD is a new disorder introduced with the fifth edition of the Diagnostic and Statistical Manual (DSM-5), we identified individuals with potential diagnosis of SCD among individuals with ASD via mixture modeling techniques using the same NDAR data. These analyses revealed two classes or clusters of individuals when considering the two core areas of impairment among individuals with ASD: social communication and restricted, repetitive patterns of behavior. 97/889Secondary AnalysisShared
Brain-based sex differences in autism spectrum disorder across the lifespan: A systematic review of structural MRI, fMRI, and DTI findingsFemales with autism spectrum disorder (ASD) have been long overlooked in neuroscience research, but emerging evidence suggests they show distinct phenotypic trajectories and age-related brain differences. Sex-related biological factors (e.g., hormones, genes) may play a role in ASD etiology and have been shown to influence neurodevelopmental trajectories. Thus, a lifespan approach is warranted to understand brain-based sex differences in ASD. This systematic review on MRI-based sex differences in ASD was conducted to elucidate variations across the lifespan and inform biomarker discovery of ASD in females. We identified articles through two database searches. Fifty studies met criteria and underwent integrative review. We found that regions expressing replicable sex-by-diagnosis differences across studies overlapped with regions showing sex differences in neurotypical (NT) cohorts, in particular regions showing NT male>female volumes. Furthermore, studies investigating age-related brain differences across a broad age-span suggest distinct neurodevelopmental patterns in females with ASD. Qualitative comparison across youth and adult studies also supported this hypothesis. However, many studies collapsed across age, which may mask differences. Furthermore, accumulating evidence supports the female protective effect in ASD, although only one study examined brain circuits implicated in “protection.” When synthesized with the broader literature, brain-based sex differences in ASD may come from various sources, including genetic and endocrine processes involved in brain “masculinization” and “feminization” across early development, puberty, and other lifespan windows of hormonal transition. Furthermore, sex-related biology may interact with peripheral processes, in particular the stress axis and brain arousal system, to produce distinct neurodevelopmental patterns in males and females with ASD. Future research on neuroimaging-based sex differences in ASD would benefit from a lifespan approach in well-controlled and multivariate studies. Possible relationships between behavior, sex hormones, and brain development in ASD remain largely unexamined.1/759Secondary 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.1/589Secondary AnalysisShared
Face-processing performance is an independent predictor of social affect as measured by the Autism Diagnostic Observation Schedule across large-scale datasetsFace-processing deficits, while not required for the diagnosis of Autism Spectrum Disorder (ASD), have been associated with impaired social skills—a core feature of ASD; however, the strength and prevalence of this relationship remains unclear. Across 445 participants from the NIMH Data Archive, we examined the relationship between Benton Face Recognition Test (BFRT) performance and Autism Diagnostic Observation Schedule-Social Affect (ADOS-SA) scores. Lower BFRT scores (worse face-processing performance) were associated with higher ADOS-SA scores (higher ASD severity)–a relationship that held after controlling for other factors associated with face processing, i.e., age, sex, and IQ. These findings underscore the utility of face discrimination, not just recognition of facial emotion, as a key covariate for the severity of symptoms that characterize ASD.224/445Secondary AnalysisShared
Derivation of Quality Measures for Structural Images by Neuroimaging PipelinesUsing 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.38/423Secondary AnalysisShared
Derivation of Brain Structure Volumes from MRI Neuroimages hosted by NDAR using NITRC-CEA 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.**38/356Secondary AnalysisShared
Derivation of Quality Measures for Time-Series Images by Neuroimaging PipelinesUsing 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. Time series QA was performed according to Friedman, et al. (http://www.ncbi.nlm.nih.gov/pubmed/16952468) providing values for Signal to Noise Ratio that can be compared to other subjects.71/356Secondary 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.6/339Secondary AnalysisShared
Distinctive Neural Processes during Learning in AutismThis functional magnetic resonance imaging study compared the neural activation patterns of 18 high-functioning individuals with autism and 18 IQ-matched neurotypical control participants as they learned to perform a social judgment task. Participants learned to identify liars among pairs of computer-animated avatars uttering the same sentence but with different facial and vocal expressions, namely those that have previously been associated with lying versus truth-telling. Despite showing a behavioral learning effect similar to the control group, the autism group did not show the same pattern of decreased activation in cortical association areas as they learned the task. Furthermore, the autism group showed a significantly smaller increase in interregion synchronization of activation (functional connectivity) with learning than did the control group. Finally, the autism group had decreased structural connectivity as measured by corpus callosum size, and this measure was reliably related to functional connectivity measures. The findings suggest that cortical underconnectivity in autism may constrain the ability of the brain to rapidly adapt during learning.32/32Primary AnalysisShared
The neural basis of deictic shifting in linguistic perspective-taking in high-functioning autismPersonal pronouns, such as 'I' and 'you', require a speaker/listener to continuously re-map their reciprocal relation to their referent, depending on who is saying the pronoun. This process, called 'deictic shifting', may underlie the incorrect production of these pronouns, or 'pronoun reversals', such as referring to oneself with the pronoun 'you', which has been reported in children with autism. The underlying neural basis of deictic shifting, however, is not understood, nor has the processing of pronouns been studied in adults with autism. The present study compared the brain activation pattern and functional connectivity (synchronization of activation across brain areas) of adults with high-functioning autism and control participants using functional magnetic resonance imaging in a linguistic perspective-taking task that required deictic shifting. The results revealed significantly diminished frontal (right anterior insula) to posterior (precuneus) functional connectivity during deictic shifting in the autism group, as well as reliably slower and less accurate behavioural responses. A comparison of two types of deictic shifting revealed that the functional connectivity between the right anterior insula and precuneus was lower in autism while answering a question that contained the pronoun 'you', querying something about the participant's view, but not when answering a query about someone else's view. In addition to the functional connectivity between the right anterior insula and precuneus being lower in autism, activation in each region was atypical, suggesting over reliance on individual regions as a potential compensation for the lower level of collaborative interregional processing. These findings indicate that deictic shifting constitutes a challenge for adults with high-functioning autism, particularly when reference to one's self is involved, and that the functional collaboration of two critical nodes, right anterior insula and precuneus, may play a critical role for deictic shifting by supporting an attention shift between oneself and others.29/29Primary AnalysisShared
Autonomy of lower-level perception from global processing in autism: evidence from brain activation and functional connectivity.Previous behavioral studies have shown that individuals with autism are less hindered by interference from global processing during the performance of lower-level perceptual tasks, such as finding embedded figures. The primary goal of this study was to examine the brain manifestation of such atypicality in high-functioning autism using fMRI. Fifteen participants with high-functioning autism and fifteen age- and IQ-matched typical controls were asked to perform a lower-level perceptual line-counting task in the presence of a distracting depiction of a 3-D object, in which participants counted whether there were more red or more green contours (In a contrasting 3-D task, participants judged whether the same 3-D stimulus objects (but without color in any contours) depicted a possible or impossible 3-D object). We hypothesized that individuals with autism would be less likely than controls to process the global 3-D information (and would hence show fewer neural signs of such interfering 3-D processing) during the lower-level line-counting task. The fMRI results revealed that in the line-counting task, the autism group did not show the increased medial frontal activity (relative to the possibility task), or the increased functional connectivity between the medial frontal region and posterior visual-spatial regions, demonstrated by the control group. Both findings are indices of lesser effort and difficulty in the line-counting task for the autism group than for the control group, attributed to less interference from the 3-D processing in the autism group. In addition, in the line-counting task, the control group showed a positive correlation between a measure of spatial ability (Vandenberg scores) and activation in the medial frontal region, suggesting that more spatially able control participants did more suppression of the irrelevant 3-D background information in order to focus on the line-counting task. The findings collectively indicate that the global 3-D structure of the figure had a smaller effect, if any, on local processing in the group with autism compared to the control group. The results from this study provide the first direct neural evidence of reduced global-to-local interference in autism.27/27Primary AnalysisShared
Cortical underconnectivity coupled with preserved visuospatial cognition in autism: Evidence from an fMRI study of an embedded figures task.Individuals with high-functioning autism sometimes exhibit intact or superior performance on visuospatial tasks, in contrast to impaired functioning in other domains such as language comprehension, executive tasks, and social functions. The goal of the current study was to investigate the neural bases of preserved visuospatial processing in high-functioning autism from the perspective of the cortical underconnectivity theory. We used a combination of behavioral, functional magnetic resonance imaging, functional connectivity, and corpus callosum morphometric methodological tools. Thirteen participants with high-functioning autism and 13 controls (age-, IQ-, and gender-matched) were scanned while performing an Embedded Figures Task. Despite the ability of the autism group to attain behavioral performance comparable to the control group, the brain imaging results revealed several group differences consistent with the cortical underconnectivity account of autism. First, relative to controls, the autism group showed less activation in the left dorsolateral prefrontal and inferior parietal areas and more activation in visuospatial (bilateral superior parietal extending to inferior parietal and right occipital) areas. Second, the autism group demonstrated lower functional connectivity between higher-order working memory/executive areas and visuospatial regions (between frontal and parietal-occipital). Third, the size of the corpus callosum (an index of anatomical connectivity) was positively correlated with frontal-posterior (parietal and occipital) functional connectivity in the autism group. Thus, even in the visuospatial domain, where preserved performance among people with autism is observed, the neuroimaging signatures of cortical underconnectivity persist.17/17Primary AnalysisShared
* Data not on individual level
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Collection - Associated Studies

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