National Database for Autism Research - Data

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¹ Numbers reported are subjects by age

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

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Select	Experiment Id	Experiment Name	Experiment Type Select One EEG EGG Eye Tracking Omics fMRI	Created On

911	Resting State	fMRI	04/20/2018
910	Modified Monetary Incentive Delay	fMRI	04/20/2018
908	Resting State Pre-Stress Visit 1	fMRI	04/20/2018
907	Montreal Imaging Stress Task Visit 1	fMRI	04/18/2018
906	2-back Post-Stress Visit 1	fMRI	04/18/2018
905	1-back Post-Stress Visit 1	fMRI	04/18/2018
904	0-back Post-Stress Visit 1	fMRI	04/18/2018
903	2-back Pre-Stress Visit 1	fMRI	04/18/2018
902	1-back Pre-Stress Visit 1	fMRI	04/18/2018
901	0-back Pre-Stress Visit 1	fMRI	04/18/2018
900	DTI	fMRI	04/11/2018
899	Investigating a Neurobehavioral Mechanism of Paranoia - Resting State Scans	fMRI	04/06/2018
898	FAST-POMA	fMRI	04/03/2018
897	parvizi_eeg_109	EEG	03/19/2018
896	parvizi_eeg_107	EEG	03/19/2018
895	parvizi_eeg_106	EEG	03/19/2018
894	Dot Probe	Eye Tracking	03/07/2018
893	Startle Habituation and Shock Sensitivity Evaluation	EEG	03/03/2018
892	NPU EEG Task	EEG	03/03/2018
891	Duke ACE ET	Eye Tracking	03/02/2018
888	Emotion 1.1 Determining context effects during potential threat	fMRI	02/26/2018
886	Rest	fMRI	02/14/2018
885	SART	fMRI	02/14/2018
884	Plasma metabolic profile	Omics	02/05/2018
878	Social Challenge Assessment	Eye Tracking	01/26/2018
877	PRV-005-EEG	EEG	01/22/2018
876	Mixed Anti and Pro (vgs) saccade mixed blocked (EyeTracking)	Eye Tracking	01/22/2018
875	Attention modulation task	Eye Tracking	01/17/2018
874	ruthldopa resting 17 and 18	fMRI	01/16/2018
873	ruthldopa resting 15 and 16	fMRI	01/16/2018
872	ruthldopa resting 13 and 14	fMRI	01/16/2018
871	ruthldopa resting 11 and 12	fMRI	01/16/2018
870	Resting State fMRI	fMRI	01/12/2018
869	cyberball	fMRI	01/12/2018
868	MDD_Pilot	fMRI	01/12/2018
867	Velten Mood Induction State-Item	fMRI	01/12/2018
866	Emotional Hemifield Task (EHT)	EEG	01/12/2018
865	Genome Editing	Omics	01/12/2018
864	parvizi_eeg_118	EEG	01/12/2018
863	parvizi_eeg_117	EEG	01/12/2018
862	parvizi_eeg_116	EEG	01/12/2018
861	parvizi_eeg_115	EEG	01/12/2018
860	parvizi_eeg_114	EEG	01/12/2018
859	parvizi_eeg_113	EEG	01/12/2018
858	PRV-003-EEG	EEG	01/12/2018
857	PRV-004-EEG	EEG	01/12/2018
856	PRV-007-EEG	EEG	01/12/2018
855	Regulating Emotional Responses to Visual Images Across the Affective Instability Spectrum	fMRI	01/12/2018
854	PRV-002-EEG	EEG	01/12/2018
853	R61 Ezogabine Resting State FMRI	fMRI	01/11/2018

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Neural and Behavioral Outcomes of Social Skills Groups in Children with ASD #1501 State:Shared

General
Experiments (0)
Shared Data
Publications (1)
Data Expected (9)
Associated Studies (4)

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General

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Funding Source

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Clinical Trials

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Collection Title	Collection Investigators	Collection Description
Collection Title:	Neural and Behavioral Outcomes of Social Skills Groups in Children with ASD
Investigators:	A. Ting Wang, Latha V. Soorya
Collection Description:	Neuroimaging and phenotypic measures of school-age children undergoing social skills group interventions. The purpose of this investigation is to examine the acute and sustained effects of a CBT-based social skills treatment on social cognition and the neural architecture that supports it. High-functioning children with ASD (8-11 years old) will be randomly assigned to a 12-week cognitive behavioral social skills group or a social play comparison group to control for non-specific therapeutic effects. Functional MRI scans as well as behavioral assessments of social cognition, adaptive functioning, and symptom severity will be acquired at baseline, immediately following treatment, and at a 3- month follow-up. We hypothesize that children in the CBT group will show greater improvement in social functioning and increased activation of key brain regions, relative to children in the social play comparison group, both post-treatment and at follow-up. This study aims to address some of the earlier methodological limitations to provide much needed information about the short-term efficacy and durability of a CBT approach to social skills treatment, as well as the neural events that accompany and/or predict response to treatment.
Data Source:	NDAR
Collection Phase:	Funding Completed
Collection State:	Shared
Total Funded Amount:	$578,049.00
Subjects in the NDA:	37
Total Planned Enrollment:	50
Total Enrollment:	2

{"values":[]}

{"values":[["Autism Spectrum Mildly Affected",5],["Autism Spectrum Affected",6],["Autism Spectrum Severely Affected",3],["Typical Control",3],["Not Defined",80]]}

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Funding Sources:

Funding Source Name	Funding Source URL
NIH - Extramural	None

Supporting Documentation:

Grant Information:

Project Number	Project Title	Start Date	End Date	Planned Enrollment	Actual Enrollment	Organization	Funds Obligated
R21MH089236-01	Neural and Behavioral Outcomes of Social Skills Groups in Children with ASD	09/30/2009	08/31/2011	50	2	ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI	$578,049.00

Clinical Trials:

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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.

ID	Name	Created Date	Status	Type
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Shared Data

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

Shared Data:

Title	Type	Number of Subjects
Autism Diagnostic Interview, Revised (ADI-R)	Clinical Assessments	36
Autism Diagnostic Observation Schedule (ADOS)- Module 3	Clinical Assessments	36
Image	Imaging	36
Reading the Mind in the Eyes Task (RMET)	Clinical Assessments	34
Social Responsiveness Scale (SRS)	Clinical Assessments	32
Vineland-II - Parent and Caregiver Rating Form (2005)	Clinical Assessments	10
Vineland-II - Survey Form (2005)	Clinical Assessments	37
Wechsler Intelligence Scale for Children - IV [part 1]	Clinical Assessments	10
Wechsler Intelligence Scale for Children - IV [part 2]	Clinical Assessments	35

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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 ID	Study	Title	Journal	Authors	Date	Status
25721186	Create Study	Randomized comparative trial of a social cognitive skills group for children with autism spectrum disorder.	Journal of the American Academy of Child and Adolescent Psychiatry	Soorya LV, Siper PM, Beck T, Soffes S, Halpern D, Gorenstein M, Kolevzon A, Buxbaum J, Wang AT	March 2015	Not Determined

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Relevant Publications

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Data Expected

Data Expected	Targeted Enrollment	Initial Submission	Subjects Submitted	Initial Share	Subjects Shared	Status
ADI-R						Approved
Vineland (Parent and Caregiver)						Approved
Wechsler Intelligence Scale for Children						Approved
Research Subject and Pedigree						Approved
ADOS						Approved
Social Responsiveness Scale (SRS)						Approved
Diagnostic Analysis of Nonverbal Accuracy-2 (DANVA2)						Approved
Reading the Mind in the Eyes						Approved
Imaging (Structural, fMRI, DTI, PET, microscopy)						Approved

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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 Name	Abstract	Collection/Study Subjects	Data Usage	State
Derivation of Brain Structure Volumes from MRI Neuroimages hosted by NDAR using C-PAC pipeline and ANTs	An automated pipeline was developed to reference Neuroimages hosted by the National Database for Autism Research (NDAR) and derive volumes for distinct brain structures using Advanced Normalization Tools (ANTs) and the Configurable-Pipeline for the Analysis of Connectomes (C-PAC) platform. This pipeline utilized the ANTs cortical thickness methodology discuessed in "Large-Scale Evaluation of ANTs and Freesurfer Cortical Tchickness Measurements" [http://www.ncbi.nlm.nih.gov/pubmed/24879923] to extract a cortical thickness volume from T1-weighted anatomical MRI data gathered from the NDAR database. This volume was then registered to an stereotaxic-space anatomical template (OASIS-30 Atropos Template) which was acquired from the Mindboggle Project webpage [http://mindboggle.info/data.html]. After registration, the mean cortical thickness was calculated at 31 ROIs on each hemisphere of the cortex and using the Desikan-Killiany-Tourville (DKT-31) cortical labelling protocol [http://mindboggle.info/faq/labels.html] over the OASIS-30 template. NOTE: This study is ongoing; additional data my be available in the future. As a result, each subject that was processed has a cortical thickness volume image and a text file with the mean thickness ROIs (in mm) stored in Amazon Web Services (AWS) Simple Storage Service (S3). Additionally, these results were tabulated in an AWS-hosted database (through NDAR) to enable simple, efficient querying and data access. All of the code used to perform this analysis is publicly available on Github [https://github.com/FCP-INDI/ndar-dev]. Additionally, as a computing platform, we developed an Amazon Machine Image (AMI) that comes fully equipped to run this pipeline on any dataset. Using AWS Elastic Cloud Computing (EC2), users can launch our publicly available AMI ("C-PAC with benchmark", AMI ID: "ami-fee34296", N. Virginia region) and run the ANTs cortical thickness pipeline. The AMI is fully compatible with Sun Grid Engine as well; this enables users to perform many pipeline runs in parallel over a cluster-computing framework.	3/1540	Secondary Analysis	Shared
Derivation of Quality Measures for Structural Images by Neuroimaging Pipelines	Using the National Database for Autism Research cloud platform, MRI data were analyzed using neuroimaging pipelines that included packages available as part of the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) Computational Environment to derive standardized measures of MR image quality. Structural QA was performed according to Haselgrove, et al (http://journal.frontiersin.org/Journal/10.3389/fninf.2014.00052/abstract) to provide values for Signal to Noise (SNR) and Contrast to Noise (CNR) Ratios that can be compared between subjects within NDAR and between other public data releases.	3/425	Secondary Analysis	Shared
Derivation of Brain Structure Volumes from MRI Neuroimages hosted by NDAR using NITRC-CE	A draft publication is in progress. GitHub repository with code for working with NDAR Data is available here: https://github.com/chaselgrove/ndar Note this study is ongoing; additional may be added.	3/356	Secondary Analysis	Shared
Derivation of Quality Measures for Time-Series Images by Neuroimaging Pipelines	Using the National Database for Autism Research cloud platform, MRI data were analyzed using neuroimaging pipelines that included packages available as part of the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) Computational Environment to derive standardized measures of MR image quality. 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.	3/356	Secondary Analysis	Shared

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