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Filter Cart

The Filter Cart provides a way to query and access data for which you may be interested.  There are multiple places to go query and Add to Filter Cart (Sometimes called Download).  

A few points related to the filter cart are important to understand with the NDA Query/Filter implementation: 

First, the filter cart is populated asyncronously.  So, when you add subjects, sometimes it may take a few minutes to populate.  You can continue to do other things during this time. 

When you are adding your first filter, all data associated with your query will be added to the filter cart (whether it be a collection, a concept, a study, a data structure/elment or subjects). Not all data available for the subjects selected will necessarily be displayed.  For example, if you select the NDA imaging structure image03, and further restrict that query to scan_type fMRI, only fMRI images will appear and only the image03 structure will be available.  However, if you want to see all of the clinical and phenotype, then select, "Find All Subject Data" to see all the data avaialble for those subjects.  

when a secord or third filter is applied, an AND condition is used to determine the subjects that are exist in all filters.  If the subject does not appear in any filter, that subjects data will be excluded from your filter cart. Given the sparcity of data in the NDA, it is possible for no subjects to appear across filters.  If that happens, clear your filter cart, and start over.  

The NDA is looking to enhance query/filtering.  Until additional tools become available, it is best to package more data than you need and then package and download the data and use other tools to further restrict and analyze the data.  If you have any questions on data access, are interested in using avaialble web services or need help accessing data, please contact us for assistance.  

Frequently Asked Questions

Glossary

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

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This is a U.S. Government computer system, which may be accessed and used only for authorized Government business by authorized personnel. Unauthorized access or use of this computer system may subject violators to criminal, civil, and/or administrative action. All information on this computer system may be intercepted, recorded, read, copied, and disclosed by and to authorized personnel for official purposes, including criminal investigations. Such information includes sensitive data encrypted to comply with confidentiality and privacy requirements. Access or use of this computer system by any person, whether authorized or unauthorized, constitutes consent to these terms. There is no right of privacy in this system.

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

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

If you have a question about the filter cart, or underlying filters please contact the help desk at The NDA Help Desk

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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

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SelectExperiment IdExperiment NameExperiment Type
  • Select One
  • EEG
  • EGG
  • Eye Tracking
  • Omics
  • fMRI
Created On
956EEG_SWM_POPEEG06/22/2018
955Food Choice TaskfMRI06/21/2018
954Taste_fMRIfMRI06/20/2018
953Shallow EpisodicfMRI06/20/2018
952Semantic EncodingfMRI06/20/2018
951Resting StatefMRI06/20/2018
950NBACKfMRI06/20/2018
949Resting StatefMRI06/18/2018
943Emotional Face TaskfMRI06/13/2018
941Meridians localizerfMRI06/07/2018
940V1 localizer movingDotsfMRI06/07/2018
939movingDotsfMRI06/07/2018
938MT localizer dots movingDotsfMRI06/07/2018
937MT localizer gratings movingDotsfMRI06/07/2018
936V1 localizer peripheryfMRI06/07/2018
935Contrast peripheryfMRI06/07/2018
934MT localizer peripheryfMRI06/07/2018
933Pilot01: Posner Cueing with st-tACSEye Tracking06/06/2018
932Social- Theory of Mind Localizer TaskfMRI06/01/2018
931Faces TaskfMRI05/31/2018
930Go_NogofMRI05/30/2018
929Moral RatingfMRI05/30/2018
928Pain Detection fMRI05/30/2018
927Reward TaskfMRI05/30/2018
926Go no Go TaskfMRI05/30/2018
924EARLI Placenta WGBSOmics05/24/2018
923Anxiety-CBT fMRI (pre-post) - Version 4 BlockfMRI05/15/2018
922Anxiety-CBT fMRI (pre-post) - Version 3 BlockfMRI05/15/2018
921Anxiety-CBT fMRI (pre-post) - Version 2 BlockfMRI05/15/2018
920Anxiety-CBT fMRI (pre-post) - Version 1 BlockfMRI05/15/2018
919Neural overlap in item representations across episodes impairs context memoryfMRI05/11/2018
918ReferenceTissue: U01MH106892_Brain_Amplicon_SeqOmics05/08/2018
917Virginia_single_cell_HiSeq3000Omics05/03/2018
916Virginia_single_cell_HiSeq2500Omics05/03/2018
915Virginia_single_cell_MiSeqOmics05/03/2018
914PFC analysis in bloodOmics04/27/2018
913Task and emotional content driven visual competitionfMRI04/27/2018
912Task and emotional content driven visual competitionEEG04/23/2018
911Resting StatefMRI04/20/2018
910Modified Monetary Incentive Delay fMRI04/20/2018
908Resting State Pre-Stress Visit 1fMRI04/20/2018
907Montreal Imaging Stress Task Visit 1fMRI04/18/2018
9062-back Post-Stress Visit 1fMRI04/18/2018
9051-back Post-Stress Visit 1fMRI04/18/2018
9040-back Post-Stress Visit 1fMRI04/18/2018
9032-back Pre-Stress Visit 1fMRI04/18/2018
9021-back Pre-Stress Visit 1fMRI04/18/2018
9010-back Pre-Stress Visit 1fMRI04/18/2018
900DTIfMRI04/11/2018
899Investigating a Neurobehavioral Mechanism of Paranoia - Resting State ScansfMRI04/06/2018
Collection - Add Experiment
Add Supporting Documentation
Select File

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

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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:

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Shared

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

General

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

Funding Source

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

Supporting Documentation

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

Clinical Trials

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

Collection Summary Collection Charts
Collection Title Collection Investigators Collection Description
Longitudinal MRI Study of Infants at Risk for Autism
Joe Piven 
Research data for the IBIS Autism project. Autism Centers of Excellence (ACE) Network is a collaborative effort by investigators at four clinical sites: University of North Carolina (UNC), University of Washington (UW), Washington University (WU), and Yale University; and one data coordinating center (DCC) at the Montreal Neurological Institute (MNI) to conduct a longitudinal MRI/DTI and behavioral study of infants at high risk for autism (i.e., siblings of autistic individuals) at 6, 12 and 24 months (m) of age.
NDAR
Funding Completed
Shared
$16,026,783.00
1,019
664
526
Loading Chart...
NIH - Extramural None


R01HD055741-01 A Longitudinal MRI Study of Infants at Risk for Autism 07/01/2007 06/30/2013 664 526 UNIV OF NORTH CAROLINA CHAPEL HILL $16,026,783.00

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

Experiments

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

IDNameCreated DateStatusType
370Longitudinal MRI Study of Infants at Risk for Autism08/11/2015ApprovedfMRI

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

Shared Data

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

Autism Diagnostic Interview, Revised (ADI-R) Clinical Assessments 349
Autism Diagnostic Observation Schedule (ADOS)- Module 1 Clinical Assessments 313
Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2) - Module 1 Clinical Assessments 63
Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2) - Module 2 Clinical Assessments 2
Autism Observation Scale for Infants Clinical Assessments 482
CHARGE Medical History Clinical Assessments 486
CHARGE Physical Exam Clinical Assessments 378
CSBS DP Behavior Sample Clinical Assessments 417
Early Development Interview Clinical Assessments 480
First Year Inventory Clinical Assessments 375
Image Imaging 454
Infant Behavior Questionnaire Revised Clinical Assessments 450
M-CHAT Clinical Assessments 14
MacArthur-Bates CDI - Words and Gestures Form Clinical Assessments 420
Mullen Scales of Early Learning Clinical Assessments 486
Prefrontal task Clinical Assessments 294
Repetitive Behavior Scale - Revised (RBS-R) Clinical Assessments 422
Research Subject Clinical Assessments 941
Sensory Experiences Questionnaire Clinical Assessments 416
Social Communication Questionnaire (SCQ) - Current Form Clinical Assessments 134
Social Communication Questionnaire (SCQ) - Lifetime Clinical Assessments 281
Vineland-II - Survey Form (2005) Clinical Assessments 328

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

Publications

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

PubMed IDStudyTitleJournalAuthorsDateStatus
29780197Create StudyTRAFIC: Fiber Tract Classification Using Deep Learning.Proceedings of SPIE--the International Society for Optical EngineeringNgattai Lam PD, Belhomme G, Ferrall J, Patterson B, Styner M, Prieto JCFebruary 2018Not Determined
29617515Create StudyDevelopment of White Matter Circuitry in Infants With Fragile X Syndrome.JAMA psychiatrySwanson MR, Wolff JJ, Shen MD, Styner M, Estes A, Gerig G, Mckinstry RC, Botteron KN, Piven J, Hazlett HC, May 2018Not Determined
29560900Create StudySubcortical Brain and Behavior Phenotypes Differentiate Infants With Autism Versus Language Delay.Biological psychiatry. Cognitive neuroscience and neuroimagingSwanson MR, Shen MD, Wolff JJ, Elison JT, Emerson RW, Styner MA, Hazlett HC, Truong K, Watson LR, Paterson S, Marrus N, Botteron KN, Pandey J, Schultz RT, Dager SR, Zwaigenbaum L, Estes AM, Piven J, November 2017Not Determined
29492184Create StudyCompressive Sensing Based Q-Space Resampling for Handling Fast Bulk Motion in Hardi Acquisitions.Proceedings. IEEE International Symposium on Biomedical ImagingElhabian S, Vachet C, Piven J, Styner M, Gerig GJanuary 2016Not Determined
29398928Create StudyBrain and behavior development in autism from birth through infancy.Dialogues in clinical neuroscienceShen MD, Piven JDecember 2017Not Determined
29353953Create StudyA Segmentation Editing Framework Based on Shape Change Statistics.Proceedings of SPIE--the International Society for Optical EngineeringMostapha M, Vicory J, Styner M, Pizer SJanuary 2017Not Determined
29296026Create StudyToward a conceptual framework for early brain and behavior development in autism.Molecular psychiatryPiven J, Elison JT, Zylka MJJanuary 2018Not Determined
29186388Create StudyWalking, Gross Motor Development, and Brain Functional Connectivity in Infants and Toddlers.Cerebral cortex (New York, N.Y. : 1991)Marrus N, Eggebrecht AT, Todorov A, Elison JT, Wolff JJ, Cole L, Gao W, Pandey J, Shen MD, Swanson MR, Emerson RW, Klohr CL, Adams CM, Estes AM, Zwaigenbaum L, Botteron KN, Mckinstry RC, Constantino JN, Evans AC, Hazlett HC, Dager SR, Paterson SJ, Schultz RT, Styner MA, Gerig G, et al.February 2018Not Determined
29149191Create StudyResting-state fMRI in sleeping infants more closely resembles adult sleep than adult wakefulness.PloS oneMitra A, Snyder AZ, Tagliazucchi E, Laufs H, Elison J, Emerson RW, Shen MD, Wolff JJ, Botteron KN, Dager S, Estes AM, Evans A, Gerig G, Hazlett HC, Paterson SJ, Schultz RT, Styner MA, Zwaigenbaum L, Schlaggar BL, Piven J, Pruett JR, Raichle MJanuary 2017Not Determined
29090080Create StudyCritical region within 22q11.2 linked to higher rate of autism spectrum disorder.Molecular autismClements CC, Wenger TL, Zoltowski AR, Bertollo JR, Miller JS, De Marchena AB, Mitteer LM, Carey JC, Yerys BE, Zackai EH, Emanuel BS, Mcdonald-Mcginn DM, Schultz RTJanuary 2017Not Determined
28937691Create StudyToward a conceptual framework for early brain and behavior development in autism.Molecular psychiatryPiven J, Elison JT, Zylka MJOctober 2017Not Relevant
28931307Create StudyAutism spectrum disorder screening with the CBCL/1½-5: Findings for young children at high risk for autism spectrum disorder.Autism : the international journal of research and practiceRescorla LA, Winder-Patel BM, Paterson SJ, Pandey J, Wolff JJ, Schultz RT, Piven JSeptember 2017Not Determined
28889315Create StudyBrief Report: Executive Function as a Predictor of Academic Achievement in School-Aged Children with ASD.Journal of autism and developmental disordersSt John T, Dawson G, Estes AJanuary 2018Not Determined
28705497Create StudyQuicksilver: Fast predictive image registration - A deep learning approach.NeuroImageYang X, Kwitt R, Styner M, Niethammer MSeptember 2017Not Determined
28634707Create StudyParent Support of Preschool Peer Relationships in Younger Siblings of Children with Autism Spectrum Disorder.Journal of autism and developmental disordersEstes A, Munson J, John TS, Dager SR, Rodda A, Botteron K, Hazlett H, Schultz RT, Zwaigenbaum L, Piven J, Guralnick MJ, June 2017Relevant
28592562Create StudyFunctional neuroimaging of high-risk 6-month-old infants predicts a diagnosis of autism at 24 months of age.Science translational medicineEmerson RW, Adams C, Nishino T, Hazlett HC, Wolff JJ, Zwaigenbaum L, Constantino JN, Shen MD, Swanson MR, Elison JT, Kandala S, Estes AM, Botteron KN, Collins L, Dager SR, Evans AC, Gerig G, Gu H, Mckinstry RC, Paterson S, Schultz RT, Styner M, Schlaggar BL, Pruett JR, et al.June 2017Not Determined
28460842Create StudyThe Emergence of Network Inefficiencies in Infants With Autism Spectrum Disorder.Biological psychiatryLewis JD, Evans AC, Pruett JR, Botteron KN, Mckinstry RC, Zwaigenbaum L, Estes AM, Collins DL, Kostopoulos P, Gerig G, Dager SR, Paterson S, Schultz RT, Styner MA, Hazlett HC, Piven J, August 1, 2017Relevant
28399476Create StudyGeodesic shape regression with multiple geometries and sparse parameters.Medical image analysisFishbaugh J, Durrleman S, Prastawa M, Gerig GJuly 2017Not Determined
28392081Create StudyIncreased Extra-axial Cerebrospinal Fluid in High-Risk Infants Who Later Develop Autism.Biological psychiatryShen MD, Kim SH, Mckinstry RC, Gu H, Hazlett HC, Nordahl CW, Emerson RW, Shaw D, Elison JT, Swanson MR, Fonov VS, Gerig G, Dager SR, Botteron KN, Paterson S, Schultz RT, Evans AC, Estes AM, Zwaigenbaum L, Styner MA, Amaral DG, Piven J, Piven J, et al.March 2017Relevant
28316772Create StudyNeural circuitry at age 6 months associated with later repetitive behavior and sensory responsiveness in autism.Molecular autismWolff JJ, Swanson MR, Elison JT, Gerig G, Pruett JR, Styner MA, Vachet C, Botteron KN, Dager SR, Estes AM, Hazlett HC, Schultz RT, Shen MD, Zwaigenbaum L, Piven J, January 2017Not Determined
28295208Create StudyNaturalistic Language Recordings Reveal "Hypervocal" Infants at High Familial Risk for Autism.Child developmentSwanson MR, Shen MD, Wolff JJ, Boyd B, Clements M, Rehg J, Elison JT, Paterson S, Parish-Morris J, Chappell JC, Hazlett HC, Emerson RW, Botteron K, Pandey J, Schultz RT, Dager SR, Zwaigenbaum L, Estes AM, Piven J, March 2017Relevant
28202961Create StudyEarly brain development in infants at high risk for autism spectrum disorder.NatureHazlett HC, Gu H, Munsell BC, Kim SH, Styner M, Wolff JJ, Elison JT, Swanson MR, Zhu H, Botteron KN, Collins DL, Constantino JN, Dager SR, Estes AM, Evans AC, Fonov VS, Gerig G, Kostopoulos P, Mckinstry RC, Pandey J, Paterson S, Pruett JR, Schultz RT, Shaw DW, Zwaigenbaum L, et al.February 2017Relevant
27791287Create StudyDiffusion tensor spectroscopic imaging of the human brain in children and adults.Magnetic resonance in medicineFotso K, Dager SR, Landow A, Ackley E, Myers O, Dixon M, Shaw D, Corrigan NM, Posse SOctober 2016Not Determined
27497283Create StudyA touchscreen based global motion perception task for mice.Vision researchStirman JN, Townsend LB, Smith SLOctober 2016Not Relevant
27344938Create StudyLongitudinal modeling of appearance and shape and its potential for clinical use.Medical image analysisGerig G, Fishbaugh J, Sadeghi NOctober 2016Not Relevant
27150231Create StudyDevelopment of cortical shape in the human brain from 6 to 24months of age via a novel measure of shape complexity.NeuroImageKim SH, Lyu I, Fonov VS, Vachet C, Hazlett HC, Smith RG, Piven J, Dager SR, Mckinstry RC, Pruett JR, Evans AC, Collins DL, Botteron KN, Schultz RT, Gerig G, Styner MA, July 15, 2016Not Determined
27065227Create StudyAutotract: Automatic cleaning and tracking of fibers.Proceedings of SPIE--the International Society for Optical EngineeringPrieto JC, Yang JY, Budin F, Styner MFebruary 27, 2016Not Relevant
26731103Create StudyThe Macaque Social Responsiveness Scale (mSRS): A Rapid Screening Tool for Assessing Variability in the Social Responsiveness of Rhesus Monkeys (Macaca mulatta).PloS oneFeczko EJ, Bliss-Moreau E, Walum H, Pruett JR, Parr LA2016Not Relevant
26612964Create StudyEarly Postnatal Myelin Content Estimate of White Matter via T1w/T2w Ratio.Proceedings of SPIE--the International Society for Optical EngineeringLee K, Cherel M, Budin F, Gilmore J, Consing KZ, Rasmussen J, Wadhwa PD, Entringer S, Glasser MF, Van Essen DC, Buss C, Styner M2015Not Determined
26490257Create StudySplenium development and early spoken language in human infants.Developmental scienceSwanson MR, Wolff JJ, Elison JT, Gu H, Hazlett HC, Botteron K, Styner M, Paterson S, Gerig G, Constantino J, Dager S, Estes A, Vachet C, Piven J, IBIS NetworkOctober 21, 2015Not Determined
26203305Create StudyBehavioral, cognitive, and adaptive development in infants with autism spectrum disorder in the first 2 years of life.Journal of neurodevelopmental disordersEstes A, Zwaigenbaum L, Gu H, St John T, Paterson S, Elison JT, Hazlett H, Botteron K, Dager SR, Schultz RT, Kostopoulos P, Evans A, Dawson G, Eliason J, Alvarez S, Piven J, 2015Not Determined
26089584Create StudyAutomatic Tissue Segmentation of Neonate Brain MR Images with Subject-specific Atlases.Proceedings of SPIE--the International Society for Optical EngineeringCherel M, Budin F, Prastawa M, Gerig G, Lee K, Buss C, Lyall A, Consing KZ, Styner MFebruary 21, 2015Not Determined
26088663Create StudyLong-Term Outcomes of Early Intervention in 6-Year-Old Children With Autism Spectrum Disorder.Journal of the American Academy of Child and Adolescent PsychiatryEstes, Annette; Munson, Jeffrey; Rogers, Sally J; Greenson, Jessica; Winter, Jamie; Dawson, GeraldineJuly 2015Not Relevant
26028804Create StudySkeletal shape correspondence via entropy minimization.Proceedings of SPIE--the International Society for Optical EngineeringTu, Liyun; Styner, Martin; Vicory, Jared; Paniagua, Beatriz; Prieto, Juan Carlos; Yang, Dan; Pizer, Stephen M2015Not Relevant
26028803Create StudyShape index distribution based local surface complexity applied to the human cortex.Proceedings of SPIE--the International Society for Optical EngineeringKim, Sun Hyung; Fonov, Vladimir; Collins, D Louis; Gerig, Guido; IBIS Network; Styner, Martin A2015Not Relevant
26028801Create StudyAutomatic Sulcal Curve Extraction on the Human Cortical Surface.Proceedings of SPIE--the International Society for Optical EngineeringLyu, Ilwoo; Kim, Sun Hyung; Styner, Martin2015Not Relevant
25937563Create StudyAltered corpus callosum morphology associated with autism over the first 2 years of life.Brain : a journal of neurologyWolff JJ, Gerig G, Lewis JD, Soda T, Styner MA, Vachet C, Botteron KN, Elison JT, Dager SR, Estes AM, Hazlett HC, Schultz RT, Zwaigenbaum L, Piven J, July 2015Not Determined
25704288Create StudyAccurate age classification of 6 and 12 month-old infants based on resting-state functional connectivity magnetic resonance imaging data.Developmental cognitive neurosciencePruett Jr, John R; Kandala, Sridhar; Hoertel, Sarah; Snyder, Abraham Z; Elison, Jed T; Nishino, Tomoyuki; Feczko, Eric; Dosenbach, Nico U F; Nardos, Binyam; Power, Jonathan D; Adeyemo, Babatunde; Botteron, Kelly N; McKinstry, Robert C; Evans, Alan C; Hazlett, Heather C; Dager, Stephen R; Paterson, Sarah; Schultz, Robert T; Collins, D Louis; Fonov, Vladimir S; Styner, Martin; Gerig, Guido; Das, Samir; Kostopoulos, Penelope; Constantino, John N; Estes, Annette M; IBIS Network; Petersen, Steven E; Schlaggar, Bradley L; Piven, JosephApril 2015Not Relevant
25664349Create StudyGeodesic image regression with a sparse parameterization of diffeomorphisms.Geometric science of information : first international conference, GSI 2013, Paris, France, August 28-30, 2013 : proceedings / Frank Nielsen, Frederic Barbaresco (eds.). Geometric Science of Information (1st : 2013 : Paris, France)Fishbaugh J, Prastawa M, Gerig G, Durrleman S2013Not Determined
25538672Create StudySubject-Motion Correction in HARDI Acquisitions: Choices and Consequences.Frontiers in neurologyElhabian S, Gur Y, Vachet C, Piven J, Styner M, Leppert IR, Pike GB, Gerig G2014Not Determined
25506622Create StudyMixed-Effects Shape Models for Estimating Longitudinal Changes in Anatomy.Spatio-temporal image analysis for longitudinal and time-series image data : Second International Workshop, STIA 2012, held in conjunction with MICCAI 2012, Nice, France, October 1, 2012, proceedings / Stanley Durrleman, Tom Flecher, Gu...Datar M, Muralidharan P, Kumar A, Gouttard S, Piven J, for the IBIS Network, Gerig G, Whitaker R, Fletcher PTOctober 2012Not Determined
25440311Create StudyRepetitive behavior in 12-month-olds later classified with autism spectrum disorder.Journal of the American Academy of Child and Adolescent PsychiatryElison JT, Wolff JJ, Reznick JS, Botteron KN, Estes AM, Gu H, Hazlett HC, Meadows AJ, Paterson SJ, Zwaigenbaum L, Piven J, Infant Brain Imaging Study (IBIS) NetworkNovember 2014Not Determined
25356196Create StudyA JOINT FRAMEWORK FOR 4D SEGMENTATION AND ESTIMATION OF SMOOTH TEMPORAL APPEARANCE CHANGES.Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical ImagingGao Y, Prastawa M, Styner M, Piven J, Gerig G2014-AprNot Relevant
25356195Create StudyA PRELIMINARY STUDY ON THE EFFECT OF MOTION CORRECTION ON HARDI RECONSTRUCTION.Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical ImagingElhabian S, Gur Y, Vachet C, Piven J, Styner M, Leppert I, Pike GB, Gerig G2014-AprNot Determined
25356194Create StudyPARAMETRIC REGRESSION SCHEME FOR DISTRIBUTIONS: ANALYSIS OF DTI FIBER TRACT DIFFUSION CHANGES IN EARLY BRAIN DEVELOPMENT.Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical ImagingSharma A, Fletcher PT, Gilmore JH, Escolar ML, Gupta A, Styner M, Gerig G2014-AprNot Determined
25356192Create StudyGEODESIC REGRESSION OF IMAGE AND SHAPE DATA FOR IMPROVED MODELING OF 4D TRAJECTORIES.Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical ImagingFishbaugh J, Prastawa M, Gerig G, Durrleman S2014-AprNot Determined
25320779Create StudySubject-specific prediction using nonlinear population modeling: application to early brain maturation from DTI.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionSadeghi N, Fletcher PT, Prastawa M, Gilmore JH, Gerig G2014Not Determined
25312279Create StudyBrief Report: Chimpanzee Social Responsiveness Scale (CSRS) Detects Individual Variation in Social Responsiveness for Captive Chimpanzees.Journal of autism and developmental disordersFaughn, Carley; Marrus, Natasha; Shuman, Jeremy; Ross, Stephen R; Constantino, John N; Pruett Jr, John R; Povinelli, Daniel JMay 2015Not Relevant
25309699Create StudyCharacterizing growth patterns in longitudinal MRI using image contrast.Proceedings of SPIE--the International Society for Optical EngineeringVardhan A, Prastawa M, Vachet C, Piven J, Gerig GMarch 21, 2014Not Determined
25103541Create StudyStriatal development in autism: repetitive behaviors and the reward circuitry.Biological psychiatryKohls G, Yerys BE, Schultz RTSeptember 1, 2014Not Determined
24802306Create StudyNetwork inefficiencies in autism spectrum disorder at 24 months.Translational psychiatryLewis JD, Evans AC, Pruett JR, Botteron K, Zwaigenbaum L, Estes A, Gerig G, Collins L, Kostopoulos P, McKinstry R, Dager S, Paterson S, Schultz RT, Styner M, Hazlett H, Piven J2014Not Determined
24684012Create StudyGeodesic shape regression in the framework of currents.Information processing in medical imaging : proceedings of the ... conferenceFishbaugh J, Prastawa M, Gerig G, Durrleman S2013Not Determined
24655647Create StudyBAP: not-quite-autism in infants.Journal of the American Academy of Child and Adolescent PsychiatryPruett JRApril 2014Not Determined
24567717Create StudyMulti-atlas segmentation of subcortical brain structures via the AutoSeg software pipeline.Frontiers in neuroinformaticsWang J, Vachet C, Rumple A, Gouttard S, Ouziel C, Perrot E, Du G, Huang X, Gerig G, Styner M2014Not Determined
24552513Create StudyLongitudinal patterns of repetitive behavior in toddlers with autism.Journal of child psychology and psychiatry, and allied disciplinesWolff JJ, Botteron KN, Dager SR, Elison JT, Estes AM, Gu H, Hazlett HC, Pandey J, Paterson SJ, Schultz RT, Zwaigenbaum L, Piven J, IBIS NetworkAugust 2014Not Determined
24523693Create StudyDTIPrep: quality control of diffusion-weighted images.Frontiers in neuroinformaticsOguz I, Farzinfar M, Matsui J, Budin F, Liu Z, Gerig G, Johnson HJ, Styner M2014Not Determined
24443698Create StudyMODELING LONGITUDINAL MRI CHANGES IN POPULATIONS USING A LOCALIZED, INFORMATION-THEORETIC MEASURE OF CONTRAST.Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical ImagingVardhan A, Prastawa M, Sharma A, Piven J, Gerig GDecember 31, 2013Not Determined
24443688Create StudySPATIOTEMPORAL MODELING OF DISCRETE-TIME DISTRIBUTION-VALUED DATA APPLIED TO DTI TRACT EVOLUTION IN INFANT NEURODEVELOPMENT.Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical ImagingSharma A, Fletcher PT, Gilmore JH, Escolar ML, Gupta A, Styner M, Gerig GDecember 31, 2013Not Determined
24443681Create StudyLONGITUDINAL GROWTH MODELING OF DISCRETE-TIME FUNCTIONS WITH APPLICATION TO DTI TRACT EVOLUTION IN EARLY NEURODEVELOPMENT.Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical ImagingSharma A, Durrleman S, Gilmore JH, Gerig GDecember 31, 2013Not Relevant
24409141Create StudyUNC-Utah NA-MIC framework for DTI fiber tract analysis.Frontiers in neuroinformaticsVerde AR, Budin F, Berger JB, Gupta A, Farzinfar M, Kaiser A, Ahn M, Johnson H, Matsui J, Hazlett HC, Sharma A, Goodlett C, Shi Y, Gouttard S, Vachet C, Piven J, Zhu H, Gerig G, Styner M2014Not Determined
24392201Create StudyA framework for longitudinal data analysis via shape regression.Proceedings of SPIE--the International Society for Optical EngineeringFishbaugh J, Durrleman S, Piven J, Gerig GFebruary 23, 2012Not Determined
24386543Create StudyUNC-Utah NA-MIC DTI framework: Atlas Based Fiber Tract Analysis with Application to a Study of Nicotine Smoking Addiction.Proceedings of SPIE--the International Society for Optical EngineeringVerde AR, Berger JB, Gupta A, Farzinfar M, Kaiser A, Chanon VW, Boettiger C, Goodlett C, Shi Y, Zhu H, Gerig G, Gouttard S, Vachet C, Styner MMarch 13, 2013Not Determined
24353382Create StudyAutomatic corpus callosum segmentation using a deformable active Fourier contour model.Proceedings of SPIE--the International Society for Optical EngineeringVachet C, Yvernault B, Bhatt K, Smith RG, Gerig G, Hazlett HC, Styner MMarch 23, 2012Not Determined
24353381Create StudyMeasures for Validation of DTI Tractography.Proceedings of SPIE--the International Society for Optical EngineeringGouttard S, Goodlett CB, Kubicki M, Gerig GFebruary 23, 2012Not Determined
24353379Create StudyQuality Control of Diffusion Weighted Images.Proceedings of SPIE--the International Society for Optical EngineeringLiu Z, Wang Y, Gerig G, Gouttard S, Tao R, Fletcher T, Styner MMarch 11, 2010Not Determined
24353378Create StudyChanges of MR and DTI appearance in early human brain development.Proceedings of SPIE--the International Society for Optical EngineeringMarc C, Vachet C, Gerig G, Blocher J, Gilmore J, Styner MMarch 12, 2010Not Determined
24353377Create StudyEvaluation of DTI Property Maps as Basis of DTI Atlas Building.Proceedings of SPIE--the International Society for Optical EngineeringLiu Z, Goodlett C, Gerig G, Styner MMarch 12, 2010Not Determined
24353376Create StudyTowards Analysis of Growth Trajectory through Multi-modal Longitudinal MR Imaging.Proceedings of SPIE--the International Society for Optical EngineeringSadeghi N, Prastawa M, Gilmore JH, Lin W, Gerig GMarch 12, 2010Not Determined
24069234Create StudyAge-specific average head template for typically developing 6-month-old infants.PloS oneAkiyama LF, Richards TR, Imada T, Dager SR, Wroblewski L, Kuhl PK2013Not Determined
23959506Create StudyMULTIVARIATE MODELING OF LONGITUDINAL MRI IN EARLY BRAIN DEVELOPMENT WITH CONFIDENCE MEASURES.Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical ImagingSadeghi N, Prastawa M, Fletcher PT, Vachet C, Wang B, Gilmore J, Gerig G2013Not Relevant
23959442Create StudyA NEW FRAMEWORK FOR ANALYZING WHITE MATTER MATURATION IN EARLY BRAIN DEVELOPMENT.Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical ImagingPrastawa M, Sadeghi N, Gilmore JH, Lin W, Gerig G2010Not Relevant
23958630Create StudyQUANTIFYING REGIONAL GROWTH PATTERNS THROUGH LONGITUDINAL ANALYSIS OF DISTANCES BETWEEN MULTIMODAL MR INTENSITY DISTRIBUTIONS.Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical ImagingVardhan A, Prastawa M, Gouttard S, Piven J, Gerig G2012Not Relevant
23956495Create StudyToward a comprehensive framework for the spatiotemporal statistical analysis of longitudinal shape data.International journal of computer visionDurrleman S, Pennec X, Trouvé A, Braga J, Gerig G, Ayache NMay 2013Not Determined
23846465Create StudyLongitudinal image registration with temporally-dependent image similarity measure.IEEE transactions on medical imagingCsapo I, Davis B, Shi Y, Sanchez M, Styner M, Niethammer MOctober 2013Not Determined
23833547Create StudyDTI Quality Control Assessment via Error Estimation From Monte Carlo Simulations.Proceedings of SPIE--the International Society for Optical EngineeringFarzinfar M, Li Y, Verde AR, Oguz I, Gerig G, Styner MAMarch 13, 2013Not Relevant
23684874Create StudyDiffusion imaging quality control via entropy of principal direction distribution.NeuroImageFarzinfar M, Oguz I, Smith RG, Verde AR, Dietrich C, Gupta A, Escolar ML, Piven J, Pujol S, Vachet C, Gouttard S, Gerig G, Dager S, McKinstry RC, Paterson S, Evans AC, IBIS network, Styner MANovember 15, 2013Not Determined
23595508Create StudyENTROPY BASED DTI QUALITY CONTROL VIA REGIONAL ORIENTATION DISTRIBUTION.Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical ImagingFarzinfar M, Dietrich C, Smith R, Li Y, Gupta A, Liu Z, Styner M2012Not Determined
23568185Create StudyBuilding Spatiotemporal Anatomical Models using Joint 4-D Segmentation, Registration, and Subject-Specific Atlas Estimation.Proceedings / sponsored by IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence. Workshop on Mathematical Methods in Biomedical Image AnalysisPrastawa M, Awate SP, Gerig G2012Not Determined
23511344Create StudyWhite matter microstructure and atypical visual orienting in 7-month-olds at risk for autism.The American journal of psychiatryElison JT, Paterson SJ, Wolff JJ, Reznick JS, Sasson NJ, Gu H, Botteron KN, Dager SR, Estes AM, Evans AC, Gerig G, Hazlett HC, Schultz RT, Styner M, Zwaigenbaum L, Piven J, IBIS NetworkAugust 2013Not Determined
23432829Create StudyFrontolimbic neural circuitry at 6 months predicts individual differences in joint attention at 9 months.Developmental scienceElison JT, Wolff JJ, Heimer DC, Paterson SJ, Gu H, Hazlett HC, Styner M, Gerig G, Piven J, March 2013Not Determined
23285617Create StudyAnalysis of longitudinal shape variability via subject specific growth modeling.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionFishbaugh J, Prastawa M, Durrleman S, Piven J, Gerig G, IBIS Network2012Not Determined
23235270Create StudyRegional characterization of longitudinal DT-MRI to study white matter maturation of the early developing brain.NeuroImageSadeghi N, Prastawa M, Fletcher PT, Wolff J, Gilmore JH, Gerig GMarch 2013Not Determined
23223157Create StudySPATIAL INTENSITY PRIOR CORRECTION FOR TISSUE SEGMENTATION IN THE DEVELOPING HUMAN BRAIN.Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical ImagingKim SH, Fonov V, Piven J, Gilmore J, Vachet C, Gerig G, Collins DL, Styner M, The IBIS Network2011Not Determined
23032117Create StudyAdaptive prior probability and spatial temporal intensity change estimation for segmentation of the one-year-old human brain.Journal of neuroscience methodsKim SH, Fonov VS, Dietrich C, Vachet C, Hazlett HC, Smith RG, Graves MM, Piven J, Gilmore JH, Dager SR, Mckinstry RC, Paterson S, Evans AC, Collins DL, Gerig G, Styner MA, January 2013Not Determined
22684595Create StudyBrain volume findings in 6-month-old infants at high familial risk for autism.The American journal of psychiatryHazlett HC, Gu H, McKinstry RC, Shaw DW, Botteron KN, Dager SR, Styner M, Vachet C, Gerig G, Paterson SJ, Schultz RT, Estes AM, Evans AC, Piven J, IBIS NetworkJune 2012Not Determined
22370873Create StudyConsensus paper: pathological role of the cerebellum in autism.Cerebellum (London, England)Fatemi SH, Aldinger KA, Ashwood P, Bauman ML, Blaha CD, Blatt GJ, Chauhan A, Chauhan V, Dager SR, Dickson PE, Estes AM, Goldowitz D, Heck DH, Kemper TL, King BH, Martin LA, Millen KJ, Mittleman G, Mosconi MW, Persico AM, Sweeney JA, Webb SJ, Welsh JPSeptember 2012Not Determined
22362397Create StudyDifferences in white matter fiber tract development present from 6 to 24 months in infants with autism.The American journal of psychiatryWolff JJ, Gu H, Gerig G, Elison JT, Styner M, Gouttard S, Botteron KN, Dager SR, Dawson G, Estes AM, Evans AC, Hazlett HC, Kostopoulos P, Mckinstry RC, Paterson SJ, Schultz RT, Zwaigenbaum L, Piven J, June 2012Not Determined
21995056Create StudyIterative refinement of point correspondences for 3D statistical shape models.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionSeshamani S, Chintalapani G, Taylor R2011Not Determined
21995054Create StudyEstimation of smooth growth trajectories with controlled acceleration from time series shape data.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionFishbaugh J, Durrleman S, Gerig G2011Not Determined
21761651Create StudyOptimal data-driven sparse parameterization of diffeomorphisms for population analysis.Information processing in medical imaging : proceedings of the ... conferenceDurrleman S, Prastawa M, Gerig G, Joshi SJanuary 2011Not Relevant
21438139Create StudyMutations in the TSGA14 gene in families with autism spectrum disorders.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric GeneticsKorvatska O, Estes A, Munson J, Dawson G, Bekris LM, Kohen R, Yu CE, Schellenberg GD, Raskind WHApril 2011Not Determined
21256236Create StudyDTI registration in atlas based fiber analysis of infantile Krabbe disease.NeuroImageWang Y, Gupta A, Liu Z, Zhang H, Escolar ML, Gilmore JH, Gouttard S, Fillard P, Maltbie E, Gerig G, Styner MApril 2011Not Determined
21244423Create StudyPoor fine-motor and visuospatial skills predict persistence of pediatric-onset obsessive-compulsive disorder into adulthood.Journal of child psychology and psychiatry, and allied disciplinesBloch MH, Sukhodolsky DG, Dombrowski PA, Panza KE, Craiglow BG, Landeros-Weisenberger A, Leckman JF, Peterson BS, Schultz RTSeptember 2011Not Determined
21042871Create StudyDiscrepancies between academic achievement and intellectual ability in higher-functioning school-aged children with autism spectrum disorder.Journal of autism and developmental disordersEstes A, Rivera V, Bryan M, Cali P, Dawson GAugust 2011Not Determined
21041620Create StudyLaterobasal amygdalar enlargement in 6- to 7-year-old children with autism spectrum disorder.Archives of general psychiatryKim JE, Lyoo IK, Estes AM, Renshaw PF, Shaw DW, Friedman SD, Kim DJ, Yoon SJ, Hwang J, Dager SRNovember 2010Not Determined
20426000Create StudySpatiotemporal atlas estimation for developmental delay detection in longitudinal datasets.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionDurrleman S, Pennec X, Trouvé A, Gerig G, Ayache N2009Not Determined
19819542Create StudyAutism.Lancet (London, England)Levy SE, Mandell DS, Schultz RTNovember 7, 2009Not Determined
19243924Create StudyCerebellar vermal volumes and behavioral correlates in children with autism spectrum disorder.Psychiatry researchWebb SJ, Sparks BF, Friedman SD, Shaw DW, Giedd J, Dawson G, Dager SRApril 30, 2009Not Determined
18982614Create StudyAssessment of reliability of multi-site neuroimaging via traveling phantom study.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionGouttard S, Styner M, Prastawa M, Piven J, Gerig G2008Not Determined
18606031Create StudyEarly behavioral intervention, brain plasticity, and the prevention of autism spectrum disorder.Development and psychopathologyDawson G2008Not Determined
18058011Create StudyHead circumference as an early predictor of autism symptoms in younger siblings of children with autism spectrum disorder.Journal of autism and developmental disordersElder LM, Dawson G, Toth K, Fein D, Munson JJuly 2008Not Determined
17975722Create StudyCharacteristics associated with presence of depressive symptoms in adults with autism spectrum disorder.Journal of autism and developmental disordersSterling L, Dawson G, Estes A, Greenson JJuly 2008Not Determined
17963435Create StudyLevel of intellectual functioning predicts patterns of associated symptoms in school-age children with autism spectrum disorder.American journal of mental retardation : AJMREstes AM, Dawson G, Sterling L, Munson JNovember 2007Not Determined
help.tab.dataexpected

Relevant Publications
PubMed IDStudyTitleJournalAuthorsDate
28634707Create StudyParent Support of Preschool Peer Relationships in Younger Siblings of Children with Autism Spectrum Disorder.Journal of autism and developmental disordersEstes A, Munson J, John TS, Dager SR, Rodda A, Botteron K, Hazlett H, Schultz RT, Zwaigenbaum L, Piven J, Guralnick MJ, June 2017
28460842Create StudyThe Emergence of Network Inefficiencies in Infants With Autism Spectrum Disorder.Biological psychiatryLewis JD, Evans AC, Pruett JR, Botteron KN, Mckinstry RC, Zwaigenbaum L, Estes AM, Collins DL, Kostopoulos P, Gerig G, Dager SR, Paterson S, Schultz RT, Styner MA, Hazlett HC, Piven J, August 1, 2017
28392081Create StudyIncreased Extra-axial Cerebrospinal Fluid in High-Risk Infants Who Later Develop Autism.Biological psychiatryShen MD, Kim SH, Mckinstry RC, Gu H, Hazlett HC, Nordahl CW, Emerson RW, Shaw D, Elison JT, Swanson MR, Fonov VS, Gerig G, Dager SR, Botteron KN, Paterson S, Schultz RT, Evans AC, Estes AM, Zwaigenbaum L, Styner MA, Amaral DG, Piven J, Piven J, et al.March 2017
28295208Create StudyNaturalistic Language Recordings Reveal "Hypervocal" Infants at High Familial Risk for Autism.Child developmentSwanson MR, Shen MD, Wolff JJ, Boyd B, Clements M, Rehg J, Elison JT, Paterson S, Parish-Morris J, Chappell JC, Hazlett HC, Emerson RW, Botteron K, Pandey J, Schultz RT, Dager SR, Zwaigenbaum L, Estes AM, Piven J, March 2017
28202961Create StudyEarly brain development in infants at high risk for autism spectrum disorder.NatureHazlett HC, Gu H, Munsell BC, Kim SH, Styner M, Wolff JJ, Elison JT, Swanson MR, Zhu H, Botteron KN, Collins DL, Constantino JN, Dager SR, Estes AM, Evans AC, Fonov VS, Gerig G, Kostopoulos P, Mckinstry RC, Pandey J, Paterson S, Pruett JR, Schultz RT, Shaw DW, Zwaigenbaum L, et al.February 2017
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Data Expected
Data ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
Vineland (Parent and Caregiver) info iconApproved
Medical History info iconApproved
Autism Observation Scale for Infants (AOSI) info iconApproved
Prefrontal Task info iconApproved
Communication and Symbolic Behavior Scales (CSBS) info iconApproved
ADOS info iconApproved
Imaging (Structural, fMRI, DTI, PET, microscopy) info iconApproved
First Year Inventory (FYI) info iconApproved
Physical Exam info iconApproved
Research Subject and Pedigree info iconApproved
ADI-R info iconApproved
Repetitive Behavior Scale - Revised (RBS-R) info iconApproved
MacArthur Bates Communicative Development Inventory info iconApproved
M-CHAT info iconApproved
Social Communication Questionnaire (SCQ) info iconApproved
Infant Behavior Questionnaire (IBQ) info iconApproved
Sensory Experiences Questionnaire (SEQ) info iconApproved
Mullen Scales of Early Learning info iconApproved
Early Development Inventory (EDI) info iconApproved
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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
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. 313/2172Secondary 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.240/2134Secondary 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. 4/1021Secondary AnalysisShared
Identification of Infants at High-Risk for Autism Spectrum Disorder Using Multiparameter Multiscale White Matter Connectivity NetworksAutism spectrum disorder (ASD) is a wide range of disabilities that cause life-long cognitive impairment and social, communication, and behavioral challenges. Early diagnosis and medical intervention are important for improving the life quality of autistic patients. However, in the current practice, diagnosis often has to be delayed until the behavioral symptoms become evident during childhood. In this study, we demonstrate the feasibility of using machine learning techniques for identifying high-risk ASD infants at as early as six months after birth. This is based on the observation that ASD-induced abnormalities in white matter (WM) tracts and whole-brain connectivity have already started to appear within 24 months after birth. In particular, we propose a novel multikernel support vector machine classification framework by using the connectivity features gathered from WM connectivity networks, which are generated via multiscale regions of interest (ROIs) and multiple diffusion statistics such as fractional anisotropy, mean diffusivity, and average fiber length. Our proposed framework achieves an accuracy of 76% and an area of 0.80 under the receiver operating characteristic curve (AUC), in comparison to the accuracy of 70% and the AUC of 70% provided by the best singleparameter single-scale network. The improvement in accuracy is mainly due to the complementary information provided by multiparameter multiscale networks. In addition, our framework also provides the potential imaging connectomic markers and an objective means for early ASD diagnosis.490/490Secondary 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.5/339Secondary AnalysisShared
Early brain development in infants at high risk for autism spectrum disorderBrain enlargement has been observed in children with autism spectrum disorder (ASD), but the timing of this phenomenon, and the relationship between ASD and the appearance of behavioural symptoms, are unknown. Retrospective head circumference and longitudinal brain volume studies of two-year olds followed up at four years of age have provided evidence that increased brain volume may emerge early in development1, 2. Studies of infants at high familial risk of autism can provide insight into the early development of autism and have shown that characteristic social deficits in ASD emerge during the latter part of the first and in the second year of life3, 4. These observations suggest that prospective brain-imaging studies of infants at high familial risk of ASD might identify early postnatal changes in brain volume that occur before an ASD diagnosis. In this prospective neuroimaging study of 106 infants at high familial risk of ASD and 42 low-risk infants, we show that hyperexpansion of the cortical surface area between 6 and 12 months of age precedes brain volume overgrowth observed between 12 and 24 months in 15 high-risk infants who were diagnosed with autism at 24 months. Brain volume overgrowth was linked to the emergence and severity of autistic social deficits. A deep-learning algorithm that primarily uses surface area information from magnetic resonance imaging of the brain of 6–12-month-old individuals predicted the diagnosis of autism in individual high-risk children at 24 months (with a positive predictive value of 81% and a sensitivity of 88%). These findings demonstrate that early brain changes occur during the period in which autistic behaviours are first emerging.136/138Primary AnalysisShared
* Data not on individual level
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