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Frequently Asked Questions


NDA Help Center

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



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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

SelectExperiment IdExperiment NameExperiment Type
  • Select One
  • EEG
  • EGG
  • Eye Tracking
  • Omics
  • fMRI
Created On
955Food Choice TaskfMRI06/21/2018
953Shallow EpisodicfMRI06/20/2018
952Semantic EncodingfMRI06/20/2018
951Resting StatefMRI06/20/2018
949Resting StatefMRI06/18/2018
943Emotional Face TaskfMRI06/13/2018
941Meridians localizerfMRI06/07/2018
940V1 localizer movingDotsfMRI06/07/2018
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
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
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
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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Collection Owners and those with Collection Administrator permission, may edit a collection. The following is currently available for Edit on this page:


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 measurements of sleep EEG in adolescence
Irwin Feinberg 
Adolescence is now recognized as a period of major brain reorganization as well as rapid endocrine and physical development. Among the most prominent brain changes is a huge decline in the delta (<4 Hz) EEG of NREM sleep. Our ongoing study uses spectral and period-amplitude analyses to examine sleep and EEG longitudinally in semiannual 4-night recordings in two cohorts: C9 (N=30) ages 9-13 and C12 (N=38) ages 12-16. Data from the first two years yielded answers to important questions but raised new questions that require extending the study of these cohorts and adding a younger cohort, C6 (N=30) ages 6-10. Contrary to cross-sectional findings, our longitudinal results from C9 show little within-subject delta decline between 9 and 11 years. In contrast, C12 data show a strong delta decline across 12-14 years and levels were significantly lower in girls suggesting that they initiated the maturation process earlier. A striking result that contradicts previous suggestions is that, with age controlled, the delta decline was unrelated to pubertal (Tanner) status. The delta decline was also unrelated to the concurrent changes in sleep schedule. In C12 the increase in daytime sleepiness was related to the decline in delta but was not related to changes in sleep schedule. Extending the current study will enable us to determine within-individual patterns of delta decline from its start through its deceleration at the end of adolescence. We will also determine over a wider age range whether this decline is related to: pubertal development, the emergence of daytime sleepiness, performance on a daytime psychomotor vigilance task, and the ability to extend sleep. We have initiated a data sharing collaboration with Dr. Jay Giedd who has longitudinal MRI measures of cortical thickness over the same age ranges. The new 6 yr old cohort will provide quantitative benchmarks for sleep EEG across childhood over an age range where cortical grey matter is increasing. These data are the first within-S measurements of the decline in delta power across adolescence. We hypothesize that this decline is one component of a pervasive maturational reorganization during human adolescence. This reorganization is driven by synaptic pruning and includes a marked decline in waking brain metabolism. We have also hypothesized that errors in this process can give rise to mental illness, notably schizophrenia. Elucidating the normative trajectory of the delta changes across adolescence could provide an index of the related maturational brain events which could provide the platform necessary for the eventual study of patients at high-risk for schizophrenia. In addition, these data have implications for sleep homeostasis and for the public health implications for adolescent sleep schedules.
Funding Completed
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NIH - Extramural None

StudyDescription.doc Methods Study Description Qualified Researchers
RecordingSummaryAnon.xls Methods Recording Summary Qualified Researchers

R01MH062521-01 Longitudinal measurements of sleep EEG in adolescence 04/17/2002 03/31/2007 76 70 UNIVERSITY OF CALIFORNIA AT DAVIS $2,219,837.00

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


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
105Longitudinal Sleep Study. H20 200. Channel set 111/07/2013ApprovedEEG
106Longitudinal Sleep Study. H20 200. Channel set 211/07/2013ApprovedEEG
107Longitudinal Sleep Study. H20 200. Channel set 311/07/2013ApprovedEEG
108Longitudinal Sleep Study. AURA 20011/07/2013ApprovedEEG
109Longitudinal Sleep Study. AURA 40011/07/2013ApprovedEEG

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.

EEG Session Imaging 98
EEG Subject Clinical Assessments 99

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


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

PubMed IDStudyTitleJournalAuthorsDateStatus
26285004Create StudyMaturational Patterns of Sigma Frequency Power Across Childhood and Adolescence: A Longitudinal Study.SleepCampbell IG, Feinberg IJanuary 2016Not Determined
23193115Create StudyLongitudinal sleep EEG trajectories indicate complex patterns of adolescent brain maturation.American journal of physiology. Regulatory, integrative and comparative physiologyFeinberg I, Campbell IGFebruary 15, 2013Not Determined
22451933Create StudySex, puberty, and the timing of sleep EEG measured adolescent brain maturation.Proceedings of the National Academy of Sciences of the United States of AmericaCampbell IG, Grimm KJ, de Bie E, Feinberg IApril 10, 2012Not Determined
22116514Create StudyThe maturational trajectories of NREM and REM sleep durations differ across adolescence on both school-night and extended sleep.American journal of physiology. Regulatory, integrative and comparative physiologyFeinberg I, Davis NM, de Bie E, Grimm KJ, Campbell IGMarch 1, 2012Not Determined
21358849Create StudyTopographic differences in the adolescent maturation of the slow wave EEG during NREM sleep.SleepFeinberg I, de Bie E, Davis NM, Campbell IGMarch 2011Not Determined
21203377Create StudyAdolescent changes in homeostatic regulation of EEG activity in the delta and theta frequency bands during NREM sleep.SleepCampbell IG, Darchia N, Higgins LM, Dykan IV, Davis NM, de Bie E, Feinberg IJanuary 2011Not Determined
19883968Create StudySleep EEG changes during adolescence: an index of a fundamental brain reorganization.Brain and cognitionFeinberg I, Campbell IGFebruary 2010Not Determined
19802813Create StudyEEG recording and analysis for sleep research.Current protocols in neuroscience / editorial board, Jacqueline N. Crawley ... [et al.]Campbell IGOctober 2009Not Determined
19679173Create StudyCerebral metabolism and sleep homeostasis: a comment on Vyazovskiy et al.Brain research bulletinFeinberg I, Campbell IGJanuary 15, 2010Not Determined
19307577Create StudyLongitudinal trajectories of non-rapid eye movement delta and theta EEG as indicators of adolescent brain maturation.Proceedings of the National Academy of Sciences of the United States of AmericaCampbell IG, Feinberg IMarch 31, 2009Not Determined
18246977Create StudyThe increase in longitudinally measured sleepiness across adolescence is related to the maturational decline in low-frequency EEG power.SleepCampbell IG, Higgins LM, Trinidad JM, Richardson P, Feinberg IDecember 2007Not Determined
17310867Create StudyKinetics of NREM delta EEG power density across NREM periods depend on age and on delta-band designation.SleepDarchia N, Campbell IG, Tan X, Feinberg IJanuary 2007Not Determined
16857890Create StudyThe adolescent decline of NREM delta, an indicator of brain maturation, is linked to age and sex but not to pubertal stage.American journal of physiology. Regulatory, integrative and comparative physiologyFeinberg I, Higgins LM, Khaw WY, Campbell IGDecember 2006Not Determined
16171278Create StudySleep EEG evidence of sex differences in adolescent brain maturation.SleepCampbell IG, Darchia N, Khaw WY, Higgins LM, Feinberg IMay 2005Not Determined

Relevant Publications
PubMed IDStudyTitleJournalAuthorsDate
No records found.
Data Expected is not applicable to this collectionhelp.tab.dataexpected.addnew
Structure not yet defined

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

Associated Studies

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

Study NameAbstractCollection/Study SubjectsData UsageState
No records found.