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View Cohort
        helpcenter.ndastudy.view-cohort

        NDA Help Center

        NDA Study - View Cohort

        The View Cohort shows the Study cohort characteristics which will includes the name, type, sex and age in months range criteria. Note that age and sex restrict the data that can be added to the cohort. Medical criteria and phenotype are also included. Of particular importance on this page are any comments related to included subjects, which may be different than published results, often attributed to data sharing consent.

        Frequently Asked Questions

        • How do I know the characteristics of the cohort?
          The appropriate Medical Criteria, Phenotype, and Sub Type defined by the Study Owner are highlighted. The option trees are automatically expanded so the highlighted options are immediately viewable.

        Glossary

        • Age Range
          Age is expressed in months from 0 (birth) to 1200 (100 years old).
        • Medical Criteria
          NDA defines Medical Criteria as a diagnostically based determination of an individual's disease or condition.
        • Phenotype
          NDA defines Phenotype as any physical, morphologic, or biochemical characteristics that are observable in an individual.
        • Sub Types
          NDA defines Sub Type as a subordinate condition or disease that further characterizes an individual.
        • Cohort Name
          A user defined name for the cohort with a 200 character limit.
        • Cohort Type
          Cohort Type options include Baseline, Control, and Test.
        • Cohort Comments
          Comments further characterize the cohort beyond the options provided in the interface to define the cohort.
        • Cohort Subjects
          The Cohort Subjects provides the number of unique subjects for whom data have been associated with the cohort.
        • Cohort
          Summarizes the characteristics of a group of research subjects. The subject count is noted in parentheses.
        Add URL
        Add File
        Select File
        Study DOI
        Study DOI Status Info
        • DOI: 10.15154/1527794
        • DataCite Status: Findable
        • NDAR Status: Registered
        • DOI Registered with DataCite
        • Public URL Resolves at DOI
        Edit Subjects Dialog
        Select Subjects
        Selected
        No records found.
        Luke Norman luke.norman@nih.gov Analysis Shared
        Click for more info Shaw, Philip; Sudre, G., Norman, L., Bouyssi-Kobar, M., Price, J., Shastri, G., Shaw, P.
        Context: Previous research has explored the relationship between attention-deficit/hyperactivity disorder (ADHD) and variations in the brain's white matter tract connections, as observed through structural differences. However, these investigations have produced inconsistent outcomes, which may be attributed to the relatively small participant groups in these studies. Consequently, we embarked on a comprehensive analysis involving over 6000 participants from five distinct cohorts. We aimed to examine white matter microstructure using diffusion tensor imaging in vivo. Approach: Employing a mega-analysis approach, we employed linear mixed models to investigate potential links between ADHD traits and diagnosis with the fractional anisotropy of 42 white matter tracts. We also contrasted these associations against measurements of mood, anxiety, and other outward behavioral issues. Findings: Our study encompassed a total of 6993 participants, aged 6 to 18 years, with a mean age of 10.62 years (standard deviation 1.99). This group included 3368 girls and 3625 boys from diverse racial and ethnic backgrounds, including 764 African American individuals, 4146 non-Hispanic White individuals, and 2083 from other racial/ethnic groups. Among these participants, data was available for ADHD and other emotional/behavioral symptoms (N = 6933). Additionally, clinical information was adequate for the diagnosis of ADHD (n = 951) or the absence of such a diagnosis (n = 4884). Our analysis revealed that both ADHD diagnosis and traits were linked to decreased fractional anisotropy in the inferior longitudinal and left uncinate fasciculi (at a statistically adjusted false discovery rate of p < .05). Notably, the observed effect sizes were modest (the most robust association with ADHD traits had a partial r effect size of -0.14, while the most significant difference between cases and controls had a d effect size of -0.3). Conversely, no similar microstructural irregularities were observed in relation to anxiety, mood, or externalizing issues. These findings persisted even when ADHD cases and control subjects were matched based on their in-scanner motion. Conclusion: Although the microstructural distinctions associated with ADHD were evident across the various cohorts, their effects were minor. This underscores the limited clinical usefulness of relying solely on this imaging technique in isolation.
        10.15154/1527794
        Click for more info Secondary Analysis
        Adolescent Brain Cognitive Development (ABCD)
        Click for more info
        IDCollectionPermission GroupSubjects
        2573 Adolescent Brain Cognitive Development Study (ABCD) Adolescent Brain Cognitive Development (ABCD) / Connectome Coordination Facility (CCF)11,871
        3165 DCAN Labs ABCD-BIDS Community Collection (ABCC) Adolescent Brain Cognitive Development (ABCD) / Connectome Coordination Facility (CCF)10,073
        Analysis
        Age: 0 to 1,260 months
        Sex: Both
        helpcenter.ndastudy.summary-tab

        NDA Help Center

        NDA Study - Summary Tab

        An NDA Study describes an analysis, pipeline result, or curated data release - including the cohorts, measures, and methods - referencing the underlying source data in the NDA. Once the data is referenced and the study is shared, the underlying data will not change. It will be immutable allowing others to access those data without change into near perpetuity. Only the assessments (i.e. typically rows in a database) and outcome measures (i.e. columns in a database) included in the study are shared. By sharing data this way (e.g. specific outcome measures by subject/timepoint) an ongoing project's other unpublished data - typically other research aims - will remain embargoed according to a project's established data sharing schedule (see collection).

        When a study is created, a Digital Object Identifier (DOI) is reserved by the NDA, but will not be active. Once the study is shared, the DOI will then be issued and if associated with a publication, the NDA DOI will be linked to the publication's DOI.

        Frequently Asked Questions

        • How can I get access to an NDA Study if I am involved in creating/modifying the NDA Study?
          The individual listed as an Investigator on the General tab of the NDA Collection and any individuals defined as administrators can be provided this privilege. When the study is shared, all of those that have approved access to the data are given read-only access.

        Glossary

        • Abstract
          The Abstract of the publication or other public disclosure of analysis results. The publication abstract is automatically imported when creating a new NDA Study from a Create Study link associated with a Publication listed in a Collection. The field is editable.
        • Documents
          Provides links to additional documentation to help explain the NDA Study.
        • Cohort
          Summarizes the characteristics of a group of research subjects. The subject count is noted in parentheses.
        • Data Analysis
          Summarizes the Data Analysis methods used.
        • Data Usage
          Identifies the NDA Study as a Primary Analysis or Secondary Analysis.
        • Digital Object Identifier (DOI)
          A persistent and unique identifier that is issued for each NDA Study that may increase the visibility of a researcher's work. Authors are expected to reference the location of data in the publication using the DOI.
        • Download Button
          Adds all data from the current Collection or NDA Study to the Filter Cart.
        • Investigators
          The authors of the publication or other public disclosure of analysis results. The publication's authors are automatically imported when creating a new NDA Study from a Create Study link associated with a Publication listed in a Collection. The field is editable and uses a last name, first name format with multiple names separated by semicolons.
        • Primary Analysis
          Primary Analysis is one of the Data Use types NDA recognizes for NDA Studies. It indicates that the NDA Study's creator was involved in the collection of the data (in whole or in part) used in the NDA Study. In other words, at least some and potentially all of the data used was originally collected by the creator of the NDA Study. A Primary Analysis Study.
        • NDA Study Owner
          The NDA user, who does not necessarily have to be one of the Investigators listed in the NDA Study, primarily involved in creating the NDA Study who is serving as the point of contact. The NDA user who creates the NDA Study is automatically assigned as the Study Owner.
        • Private
          The term 'Private' generally means not available to others; however, there are some slightly different meanings based on what is Private. The default state for an NDA Collection, NDA Study, Supporting Documentation, and data is Private and, therefore, accessible only to those users with appropriate Privileges so it will not be viewable and searchable publicly. A Collection may be Shared while the data and Supporting Documentation remain Private.
        • Results
          Provides a link to the publication or other public disclosure of analysis results defined in the NDA Study.
        • Secondary Analysis
          Secondary Analysis is one of the Data Use types NDA recognizes for NDA Studies. It indicates that the NDA Study's creator was not involved in the collection of the data (in whole or in part) used in the NDA Study, but was involved in the analysis of those data. In other words, none of the data used was originally collected by the creator of the NDA Study. A Secondary Analysis Study will provide an Attribution Report listing the Collections and the researchers responsible for collecting and depositing the original data.
        • Study Type
          The NDA Study Type can be either Analysis (i.e. often associated with a computational pipeline), Clinical Trial, Finding (i.e. a result associated with a publication, or Release (i.e. a dataset release, often annually) to indicate the type of work defined in the NDA Study. Studies, once shared do not change.
        • Analysis Study Type
          The Analysis Study Type is primarily used to share a pipeline; however, it could be used to share a statistical analysis or method.
        • Release Study Type
          A static, curated data set.
        • Finding Study Type
          The Finding Study Type associates data to a publication or some type of result.
        • Clinical Trial Study Type
          A Clinical Trial Study is a finding specific to a clinical trial.
        • Study ID Number
          The Study ID number is a unique three digit number routinely expressed as S### that is assigned by the NDA.
        • Study State
          The Study State indicates whether the Study is viewable, searchable, and if the associated data can be accessed by users with appropriate data access Permissions. The default Study State is Private, which means that only the Collection Owner and users with Read Only Privileges. Only the Study Owner can Share the Study.
        • Study Title
          The Study Title is generally the title of the publication or other public disclosure of analysis results. The publication title is automatically imported when creating a new NDA Study from a Create Study link associated with a Publication listed in a Collection. The field is editable.
        • Edit Button
          The Edit Button allows a user to modify or add information once authenticated and if the user has appropriate permissions.
        • Return Button (Study)
          The Return Button brings the user back to the Data from Papers page.
        • Sex
          Sex is defined at birth and can only be Male or Female. In some places in the NDA, we incorrectly used the data_element name of Gender. Users are encouraged to review definitions and not make assumptions based upon a data element name.
        • 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.
        • 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.