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1 Numbers reported are subjects by age
New Trial
New Project

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

Please select an experiment type below

Collection - Use Existing Experiment
To associate an experiment to the current collection, just select an axperiment from the table below then click the associate experiment button to persist your changes (saving the collection is not required). Note that once an experiment has been associated to two or more collections, the experiment will not longer be editable.

The table search feature is case insensitive and targets the experiment id, experiment name and experiment type columns. The experiment id is searched only when the search term entered is a number, and filtered using a startsWith comparison. When the search term is not numeric the experiment name is used to filter the results.
SelectExperiment IdExperiment NameExperiment Type
Created On
24HI-NGS_R1Omics02/16/2011
475MB1-10 (CHOP)Omics06/07/2016
490Discovery and CRISPR validation of genetic factors associated with antipsychotic-induced weight gain and cardiometabolic riskOmics07/07/2016
501PharmacoBOLD Resting StatefMRI07/27/2016
506PVPREFOmics08/05/2016
509ABC-CT Resting v2EEG08/18/2016
13Comparison of FI expression in Autistic and Neurotypical Homo SapiensOmics12/28/2010
18AGRE/Broad Affymetrix 5.0 Genotype ExperimentOmics01/06/2011
22Stitching PCR SequencingOmics02/14/2011
26ASD_MethylationOmics03/01/2011
29Microarray family 03 (father, mother, sibling)Omics03/24/2011
37Standard paired-end sequencing of BCRsOmics04/19/2011
38Illumina Mate-Pair BCR sequencingOmics04/19/2011
39Custom Jumping LibrariesOmics04/19/2011
40Custom CapBPOmics04/19/2011
41ImmunofluorescenceOmics05/11/2011
43Autism brain sample genotyping, IlluminaOmics05/16/2011
47ARRA Autism Sequencing Collaboration at Baylor. SOLiD 4 SystemOmics08/01/2011
53AGRE Omni1-quadOmics10/11/2011
59AGP genotypingOmics04/03/2012
60Ultradeep 454 sequencing of synaptic genes from postmortem cerebella of individuals with ASD and neurotypical controlsOmics06/23/2012
63Microemulsion PCR and Targeted Resequencing for Variant Detection in ASDOmics07/20/2012
76Whole Genome Sequencing in Autism FamiliesOmics01/03/2013
519RestingfMRI11/08/2016
90Genotyped IAN SamplesOmics07/09/2013
91NJLAGS Axiom Genotyping ArrayOmics07/16/2013
93AGP genotyping (CNV)Omics09/06/2013
106Longitudinal Sleep Study. H20 200. Channel set 2EEG11/07/2013
107Longitudinal Sleep Study. H20 200. Channel set 3EEG11/07/2013
108Longitudinal Sleep Study. AURA 200EEG11/07/2013
105Longitudinal Sleep Study. H20 200. Channel set 1EEG11/07/2013
109Longitudinal Sleep Study. AURA 400EEG11/07/2013
116Gene Expression Analysis WG-6Omics01/07/2014
131Jeste Lab UCLA ACEii: Charlie Brown and Sesame Street - Project 1Eye Tracking02/27/2014
132Jeste Lab UCLA ACEii: Animacy - Project 1Eye Tracking02/27/2014
133Jeste Lab UCLA ACEii: Mom Stranger - Project 2Eye Tracking02/27/2014
134Jeste Lab UCLA ACEii: Face Emotion - Project 3Eye Tracking02/27/2014
145AGRE/FMR1_Illumina.JHUOmics04/14/2014
146AGRE/MECP2_Sanger.JHUOmics04/14/2014
147AGRE/MECP2_Junior.JHUOmics04/14/2014
151Candidate Gene Identification in familial AutismOmics06/09/2014
152NJLAGS Whole Genome SequencingOmics07/01/2014
154Math Autism Study - Vinod MenonfMRI07/15/2014
155RestingfMRI07/25/2014
156SpeechfMRI07/25/2014
159EmotionfMRI07/25/2014
160syllable contrastEEG07/29/2014
167School-age naturalistic stimuliEye Tracking09/19/2014
44AGRE/Broad Affymetrix 5.0 Genotype ExperimentOmics06/27/2011
45Exome Sequencing of 20 Sporadic Cases of Autism Spectrum DisorderOmics07/15/2011
Collection - Add Experiment
Add Supporting Documentation
Select File

To add an existing Data Structure, enter its title in the search bar. If you need to request changes, select the indicator "No, it requires changes to meet research needs" after selecting the Structure, and upload the file with the request changes specific to the selected Data Structure. Your file should follow the Request Changes Procedure. If the Data Structure does not exist, select "Request New Data Structure" and upload the appropriate zip file.

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Your Collection is now in Data Analysis phase and exempt from biannual submissions. Analyzed data is still expected prior to publication or no later than the project end date.

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Collection Summary Collection Charts
Collection Title Collection Investigators Collection Description
Trajectories of Aging in Psychotic Disorders Over 27 Years
Roman Kotov 
Life expectancy is approximately 20 years shorter in schizophrenia and 10 years shorter in mood disorder with psychosis than in the general population, which is almost entirely due to natural-cause mortality. One proposed explanation is that psychotic disorders are associated with accelerated aging. Substantial evidence indicates that this population experiences premature declines in three functional domains internal i.e., age-related medical disorders, cognitive, and physical. However, it is unknown whether these declines are explainable by exposure to risk factors highly elevated in psychotic disorders obesity, poverty, smoking, low physical activity, poor diet, inadequate medical care, etc or are also due to pathophysiology of psychosis itself. Indeed, biological processes associated with psychosis genetic, neural P3 and mismatch negativity, and allostatic load metabolic problems, increased inflammation, hypothalamic-pituitary-adrenal axis dysregulation, and hypertension were found to predict accelerated aging in the general population, but this has not been tested in psychotic disorders. Moreover, it remains uncertain when accelerated aging starts and how rapidly it progresses, as prior studies typically began with older patients. Prevention of premature aging in psychotic disorders would extend life and improve health of millions of people, but it is unclear how to target such efforts, because fundamental information is lacking on trajectories of aging and their determinants in psychosis. The Suffolk County Mental Health Project SCMHP MH094398 offers a unique opportunity to fill these crucial gaps. It is the only US epidemiologic study designed to examine health, cognition, and physical performance in psychotic disorders over 27 years following first admission from mean age 30 to 57. In addition, the study has gathered a wealth of information on premorbid risk factors. It also includes a geographically and demographically matched never-psychotic comparison group. Thorough assessments of cases were done 6 times during the first two decades. At Year 20 mean age 49, both case N385 and never-psychotic N261 groups completed a comprehensive psychiatric evaluation, medical history, physical performance tests, anthropometric exam, cognitive testing, event-related potentials battery, assays of blood samples, and genotyping. The present proposal is to reassess cases and never-psychotic participants at ages 54 and 57 to trace divergence of aging trajectories during a pivotal period age 49 to 57, when medical morbidity is expected to double and cognitive and physical functioning begin to decline and identify risk factors and biological vulnerabilities that help to determine what path aging takes. This innovative design will enable us to clarify when and why aging is accelerated in psychotic disorders, and where interventions can be applied most productively to extend life expectancy and health of this population.
NIMH Data Archive
09/19/2016
Funding Completed
Close Out
No
$1,529,400.00
628
10.15154/h2e4-8f41
Loading Chart...
NIH - Extramural None



R01MH110434-01 Trajectories of Aging in Psychotic Disorders Over 27 Years 08/19/2016 07/31/2021 07/31/2021 833 769 STATE UNIVERSITY NEW YORK STONY BROOK $1,529,400.00

helpcenter.collection.general-tab

NDA Help Center

Collection - General Tab

Fields available for edit on the top portion of the page include:

  • Collection Title
  • Investigators
  • Collection Description
  • Collection Phase
  • Funding Source
  • Clinical Trials

Collection Phase: The current status of a research project submitting data to an NDA Collection, based on the timing of the award and/or the data that have been submitted.

  • Pre-Enrollment: The default entry made when the NDA Collection is created.
  • Enrolling: Data have been submitted to the NDA Collection or the NDA Data Expected initial submission date has been reached for at least one data structure category in the NDA Collection.
  • Data Analysis: Subject level data collection for the research project is completed and has been submitted to the NDA Collection. The NDA Collection owner or the NDA Help Desk may set this phase when they’ve confirmed data submission is complete and submitted subject counts match at least 90% of the target enrollment numbers in the NDA Data Expected. Data submission reminders will be turned off for the NDA Collection.
  • Funding Completed: The NIH grant award (or awards) associated with the NDA Collection has reached its end date. NDA Collections in Funding Completed phase are assigned a subphase to indicate the status of data submission.
    • The Data Expected Subphase indicates that NDA expects more data will be submitted
    • The Closeout Subphase indicates the data submission is complete.
    • The Sharing Not Met Subphase indicates that data submission was not completed as expected.

Blinded Clinical Trial Status:

  • This status is set by a Collection Owner and indicates the research project is a double blinded clinical trial. When selected, the public view of Data Expected will show the Data Expected items and the Submission Dates, but the targeted enrollment and subjects submitted counts will not be displayed.
  • Targeted enrollment and subjects submitted counts are visible only to NDA Administrators and to the NDA Collection or as the NDA Collection Owner.
  • When an NDA Collection that is flagged Blinded Clinical Trial reaches the maximum data sharing date for that Data Repository (see https://nda.nih.gov/nda/sharing-regimen.html), the embargo on Data Expected information is released.

Funding Source

The organization(s) responsible for providing the funding is listed here.

Supporting Documentation

Users with Submission privileges, as well as Collection Owners, Program Officers, and those with Administrator privileges, may upload and attach supporting documentation. By default, supporting documentation is shared to the general public, however, the option is also available to limit this information to qualified researchers only.

Grant Information

Identifiable details are displayed about the Project of which the Collection was derived from. You may click in the Project Number to view a full report of the Project captured by the NIH.

Clinical Trials

Any data that is collected to support or further the research of clinical studies will be available here. Collection Owners and those with Administrator privileges may add new clinical trials.

Frequently Asked Questions

  • How does the NIMH Data Archive (NDA) determine which Permission Group data are submitted into?
    During Collection creation, NDA staff determine the appropriate Permission Group based on the type of data to be submitted, the type of access that will be available to data access users, and the information provided by the Program Officer during grant award.
  • How do I know when a NDA Collection has been created?
    When a Collection is created by NDA staff, an email notification will automatically be sent to the PI(s) of the grant(s) associated with the Collection to notify them.
  • Is a single grant number ever associated with more than one Collection?
    The NDA system does not allow for a single grant to be associated with more than one Collection; therefore, a single grant will not be listed in the Grant Information section of a Collection for more than one Collection.
  • Why is there sometimes more than one grant included in a Collection?
    In general, each Collection is associated with only one grant; however, multiple grants may be associated if the grant has multiple competing segments for the same grant number or if multiple different grants are all working on the same project and it makes sense to hold the data in one Collection (e.g., Cooperative Agreements).

Glossary

  • Administrator Privilege
    A privilege provided to a user associated with an NDA Collection or NDA Study whereby that user can perform a full range of actions including providing privileges to other users.
  • Collection Owner
    Generally, the Collection Owner is the contact PI listed on a grant. Only one NDA user is listed as the Collection owner. Most automated emails are primarily sent to the Collection Owner.
  • Collection Phase
    The Collection Phase provides information on data submission as opposed to grant/project completion so while the Collection phase and grant/project phase may be closely related they are often different. Collection users with Administrative Privileges are encouraged to edit the Collection Phase. The Program Officer as listed in eRA (for NIH funded grants) may also edit this field. Changes must be saved by clicking the Save button at the bottom of the page. This field is sortable alphabetically in ascending or descending order. Collection Phase options include:
    • Pre-Enrollment: A grant/project has started, but has not yet enrolled subjects.
    • Enrolling: A grant/project has begun enrolling subjects. Data submission is likely ongoing at this point.
    • Data Analysis: A grant/project has completed enrolling subjects and has completed all data submissions.
    • Funding Completed: A grant/project has reached the project end date.
  • Collection Title
    An editable field with the title of the Collection, which is often the title of the grant associated with the Collection.
  • Grant
    Provides the grant number(s) for the grant(s) associated with the Collection. The field is a hyperlink so clicking on the Grant number will direct the user to the grant information in the NIH Research Portfolio Online Reporting Tools (RePORT) page.
  • Supporting Documentation
    Various documents and materials to enable efficient use of the data by investigators unfamiliar with the project and may include the research protocol, questionnaires, and study manuals.
  • NIH Research Initiative
    NDA Collections may be organized by scientific similarity into NIH Research Initiatives, to facilitate query tool user experience. NIH Research Initiatives map to one or multiple Funding Opportunity Announcements.
  • Permission Group
    Access to shared record-level data in NDA is provisioned at the level of a Permission Group. NDA Permission Groups consist of one or multiple NDA Collections that contain data with the same subject consents.
  • Planned Enrollment
    Number of human subject participants to be enrolled in an NIH-funded clinical research study. The data is provided in competing applications and annual progress reports.
  • Actual Enrollment
    Number of human subjects enrolled in an NIH-funded clinical research study. The data is provided in annual progress reports.
  • NDA Collection
    A virtual container and organization structure for data and associated documentation from one grant or one large project/consortium. It contains tools for tracking data submission and allows investigators to define a wide array of other elements that provide context for the data, including all general information regarding the data and source project, experimental parameters used to collect any event-based data contained in the Collection, methods, and other supporting documentation. They also allow investigators to link underlying data to an NDA Study, defining populations and subpopulations specific to research aims.
  • Data Use Limitations
    Data Use Limitations (DULs) describe the appropriate secondary use of a dataset and are based on the original informed consent of a research participant. NDA only accepts consent-based data use limitations defined by the NIH Office of Science Policy.
  • Total Subjects Shared
    The total number of unique subjects for whom data have been shared and are available for users with permission to access data.
IDNameCreated DateStatusType
755Doors07/26/2017ApprovedEEG
756Flankers07/27/2017ApprovedEEG
757P30007/27/2017ApprovedEEG
758PWMMN07/27/2017ApprovedEEG
helpcenter.collection.experiments-tab

NDA Help Center

Collection - Experiments

The number of Experiments included is displayed in parentheses next to the tab name. You may download all experiments associated with the Collection via the Download button. You may view individual experiments by clicking the Experiment Name and add them to the Filter Cart via the Add to Cart button.

Collection Owners, Program Officers, and users with Submission or Administrative Privileges for the Collection may create or edit an Experiment.

Please note: The creation of an NDA Experiment does not necessarily mean that data collected, according to the defined Experiment, has been submitted or shared.

Frequently Asked Questions

  • Can an Experiment be associated with more than one Collection?

    Yes -see the “Copy” button in the bottom left when viewing an experiment. There are two actions that can be performed via this button:

    1. Copy the experiment with intent for modifications.
    2. Associate the experiment to the collection. No modifications can be made to the experiment.

Glossary

  • Experiment Status
    An Experiment must be Approved before data using the associated Experiment_ID may be uploaded.
  • Experiment ID
    The ID number automatically generated by NDA which must be included in the appropriate file when uploading data to link the Experiment Definition to the subject record.
Big Five Inventory 44 Items Clinical Assessments 569
Bradburn Scale of Psychological Well-Being Clinical Assessments 569
Brief Assessment of Cognition Clinical Assessments 569
Brief Psychiatric Rating Scale Clinical Assessments 569
Clinical Global Impression (CGI) Clinical Assessments 569
Color Reading Interference (Stroop) Clinical Assessments 569
Controlled Oral Word Association Test Clinical Assessments 569
DSM-IV Checklist (Early Steps; SOFAS) Clinical Assessments 569
Digit Symbol Substitution Test Clinical Assessments 569
EEG Subject Files Imaging 419
Height and Weight Clinical Assessments 569
PROMIS Support Clinical Assessments 569
Physical Health Interview Clinical Assessments 569
Predictors of Relapse and Rehospitalization Clinical Assessments 569
Psychological Functioning Form Clinical Assessments 569
Research Subject Clinical Assessments 569
Scales for the Assessment of Positive/Negative Symptoms Clinical Assessments 569
Schedule for Nonadaptive and Adaptive Personality Clinical Assessments 569
Short Form Health Survey Clinical Assessments 569
Short Physical Performance Battery Clinical Assessments 569
Structured Clinical Interview for DSM-IV Clinical Assessments 569
The Inventory of Depression and Anxiety Symptoms Clinical Assessments 569
Trail Making Test, Child and Adult Clinical Assessments 569
WHO Disability Assessment Schedule Clinical Assessments 569
helpcenter.collection.shared-data-tab

NDA Help Center

Collection - Shared Data

This tab provides a quick overview of the Data Structure title, Data Type, and Number of Subjects that are currently Shared for the Collection. The information presented in this tab is automatically generated by NDA and cannot be edited. If no information is visible on this tab, this would indicate the Collection does not have shared data or the data is private.

The shared data is available to other researchers who have permission to access data in the Collection's designated Permission Group(s). Use the Download button to get all shared data from the Collection to the Filter Cart.

Frequently Asked Questions

  • How will I know if another researcher uses data that I shared through the NIMH Data Archive (NDA)?
    To see what data your project have submitted are being used by a study, simply go the Associated Studies tab of your collection. Alternatively, you may review an NDA Study Attribution Report available on the General tab.
  • Can I get a supplement to share data from a completed research project?
    Often it becomes more difficult to organize and format data electronically after the project has been completed and the information needed to create a GUID may not be available; however, you may still contact a program staff member at the appropriate funding institution for more information.
  • Can I get a supplement to share data from a research project that is still ongoing?
    Unlike completed projects where researchers may not have the information needed to create a GUID and/or where the effort needed to organize and format data becomes prohibitive, ongoing projects have more of an opportunity to overcome these challenges. Please contact a program staff member at the appropriate funding institution for more information.

Glossary

  • Data Structure
    A defined organization and group of Data Elements to represent an electronic definition of a measure, assessment, questionnaire, or collection of data points. Data structures that have been defined in the NDA Data Dictionary are available at https://nda.nih.gov/general-query.html?q=query=data-structure
  • Data Type
    A grouping of data by similar characteristics such as Clinical Assessments, Omics, or Neurosignal data.
  • Shared
    The term 'Shared' generally means available to others; however, there are some slightly different meanings based on what is Shared. A Shared NDA Study is viewable and searchable publicly regardless of the user's role or whether the user has an NDA account. A Shared NDA Study does not necessarily mean that data used in the NDA Study have been shared as this is independently determined. Data are shared according the schedule defined in a Collection's Data Expected Tab and/or in accordance with data sharing expectations in the NDA Data Sharing Terms and Conditions. Additionally, Supporting Documentation uploaded to a Collection may be shared independent of whether data are shared.

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

Publications

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

PubMed IDStudyTitleJournalAuthorsDateStatus
40080555Create StudyPersonality in psychosis decades after onset: Tests of models of the relations between psychopathology and personality.Journal of psychopathology and clinical scienceMartin, Elizabeth A; Blank, Jennifer M; Jonas, Katherine G; Lian, Wenxuan; Kotov, RomanApril 1, 2025Not Determined
39957549Create StudyImpact of ERP Reliability Cutoffs on Sample Characteristics and Effect Sizes: Performance-Monitoring ERPs in Psychosis and Healthy Controls.PsychophysiologyHeindorf, Gavin; Holbrook, Amanda; Park, Bohyun; Light, Gregory A; Rast, Philippe; Foti, Dan; Kotov, Roman; Clayson, Peter EFebruary 1, 2025Not Determined
39864302Create StudyEmotional intelligence as a predictor of functional outcomes in psychotic disorders.Schizophrenia researchBlank, Jennifer M; Kotov, Roman; Jonas, Katherine G; Lian, Wenxuan; Martin, Elizabeth AFebruary 1, 2025Not Determined
38774642Create StudyInferring Trajectories of Psychotic Disorders Using Dynamic Causal Modeling.Computational psychiatry (Cambridge, Mass.)Jin, Jingwen; Zeidman, Peter; Friston, Karl J; Kotov, RomanJanuary 1, 2023Not Determined
38530896Create StudyAutomating the analysis of facial emotion expression dynamics: A computational framework and application in psychotic disorders.Proceedings of the National Academy of Sciences of the United States of AmericaHall, Nathan T; Hallquist, Michael N; Martin, Elizabeth A; Lian, Wenxuan; Jonas, Katherine G; Kotov, RomanApril 2, 2024Not Determined
38351173Create StudyPsychosis superspectrum II: neurobiology, treatment, and implications.Molecular psychiatryKotov, Roman; Carpenter, William T; Cicero, David C; Correll, Christoph U; Martin, Elizabeth A; Young, Jared W; Zald, David H; Jonas, Katherine GMay 1, 2024Not Determined
36317338Create StudyDistinguishing the Effects of Lead-Time Bias and Duration of Untreated Psychosis.The American journal of psychiatryJonas, Katherine G; Fochtmann, Laura J; Perlman, Greg; Kane, John M; Bromet, Evelyn J; Kotov, RomanNovember 1, 2022Not Determined
36226640Create StudyMismatch negativity and clinical trajectories in psychotic disorders: Five-year stability and predictive utility.Psychological medicineDonaldson, Kayla R; Jonas, Katherine; Foti, Dan; Larsen, Emmett M; Mohanty, Aprajita; Kotov, RomanSeptember 1, 2023Not Determined
36084492Create StudyPleasant and unpleasant odor identification ability is associated with distinct dimensions of negative symptoms transdiagnostically in psychotic disorders.Schizophrenia researchLarsen, Emmett M; Donaldson, Kayla R; Jonas, Katherine G; Lian, Wenxuan; Bromet, Evelyn J; Kotov, Roman; Mohanty, AprajitaOctober 1, 2022Not Determined
35583896Create StudyThe Course of General Cognitive Ability in Individuals With Psychotic Disorders.JAMA psychiatryJonas, Katherine; Lian, Wenxuan; Callahan, Jennifer; Ruggero, Camilo J; Clouston, Sean; Reichenberg, Avraham; Carlson, Gabrielle A; Bromet, Evelyn J; Kotov, RomanJuly 1, 2022Not Determined
35144862Create StudyReconceptualizing schizophrenia in the Hierarchical Taxonomy Of Psychopathology (HiTOP).Schizophrenia researchKotov, Roman; Jonas, Katherine G; Lian, Wenxuan; Docherty, Anna R; Carpenter, William TApril 1, 2022Not Determined
34695710Create StudyMismatch negativity amplitude in first-degree relatives of individuals with psychotic disorders: Links with cognition and schizotypy.Schizophrenia researchDonaldson, Kayla R; Larsen, Emmett M; Jonas, Katherine; Tramazzo, Sara; Perlman, Greg; Foti, Dan; Mohanty, Aprajita; Kotov, RomanDecember 1, 2021Not Determined
34524413Create StudyTwo Hypotheses on the High Incidence of Dementia in Psychotic Disorders.JAMA psychiatryJonas, Katherine; Abi-Dargham, Anissa; Kotov, RomanDecember 1, 2021Not Determined
34425381Create StudyPerformance-based assessment of social skills in a large sample of participants with schizophrenia, bipolar disorder and healthy controls: Correlates of social competence and social appropriateness.Schizophrenia researchMiller, Michelle L; Strassnig, Martin T; Bromet, Evelin; Depp, Colin A; Jonas, Katherine; Lin, Wenxuan; Moore, Raeanne C; Patterson, Thomas L; Penn, David L; Pinkham, Amy E; Kotov, Roman A; Harvey, Philip DOctober 1, 2021Not Determined
34031357Create StudyPTSD is associated with accelerated transcriptional aging in World Trade Center responders.Translational psychiatryKuan, Pei-Fen; Ren, Xu; Clouston, Sean; Yang, Xiaohua; Jonas, Katherine; Kotov, Roman; Bromet, Evelyn; Luft, Benjamin JMay 24, 2021Not Determined
33890112Create StudyPredicting Long-Term Outcomes in First-Admission Psychosis: Does the Hierarchical Taxonomy of Psychopathology Aid DSM in Prognostication?Schizophrenia bulletinMartin, Elizabeth A; Jonas, Katherine G; Lian, Wenxuan; Foti, Dan; Donaldson, Kayla R; Bromet, Evelyn J; Kotov, RomanAugust 21, 2021Not Determined
33143787Create StudyDynamic interplay between life events and course of psychotic disorders: 10-year longitudinal study following first admission.Psychological medicineDonaldson, Kayla R; Jonas, Katherine G; Tian, Yuan; Larsen, Emmett M; Klein, Daniel N; Mohanty, Aprajita; Bromet, Evelyn J; Kotov, RomanAugust 1, 2022Not Determined
32757601Create StudyAssociations of mismatch negativity with psychotic symptoms and functioning transdiagnostically across psychotic disorders.Journal of abnormal psychologyDonaldson, Kayla R; Novak, Keisha D; Foti, Dan; Marder, Maya; Perlman, Greg; Kotov, Roman; Mohanty, AprajitaAugust 1, 2020Not Determined
32317045Create StudyPathways from performance monitoring to negative symptoms and functional outcomes in psychotic disorders.Psychological medicineFoti, Dan; Perlman, Greg; Bromet, Evelyn J; Harvey, Philip D; Hajcak, Greg; Mathalon, Daniel H; Kotov, RomanSeptember 2021Not Determined
32046533Create StudyLead-Time Bias Confounds Association Between Duration of Untreated Psychosis and Illness Course in Schizophrenia.The American journal of psychiatryJonas, Katherine G; Fochtmann, Laura J; Perlman, Greg; Tian, Yuan; Kane, John M; Bromet, Evelyn J; Kotov, RomanApril 2020Not Determined
31825511Create StudyLong-term Changes in Cognitive Functioning in Individuals With Psychotic Disorders: Findings From the Suffolk County Mental Health Project.JAMA psychiatryFett, Anne-Kathrin J; Velthorst, Eva; Reichenberg, Abraham; Ruggero, Camilo J; Callahan, Jennifer L; Fochtmann, Laura J; Carlson, Gabrielle A; Perlman, Greg; Bromet, Evelyn J; Kotov, RomanApril 2020Not Determined
31727878Create StudySchizophrenia polygenic risk score and 20-year course of illness in psychotic disorders.Translational psychiatryJonas, Katherine G; Lencz, Todd; Li, Kaiqiao; Malhotra, Anil K; Perlman, Greg; Fochtmann, Laura J; Bromet, Evelyn J; Kotov, RomanNovember 2019Not Determined
31591465Create StudyContributions of common genetic variants to risk of schizophrenia among individuals of African and Latino ancestry.Molecular psychiatryBigdeli, Tim B; Genovese, Giulio; Georgakopoulos, Penelope; Meyers, Jacquelyn L; Peterson, Roseann E; Iyegbe, Conrad O; Medeiros, Helena; Valderrama, Jorge; Achtyes, Eric D; Kotov, Roman; Stahl, Eli A; Abbott, Colony; Azevedo, Maria Helena; Belliveau, Richard A; Bevilacqua, Elizabeth; Bromet, Evelyn J; Byerley, William; Carvalho, Celia Barreto; Chapman, Sinéad B; DeLisi, Lynn E; Dumont, Ashley L; O'Dushlaine, Colm; Evgrafov, Oleg V; Fochtmann, Laura J; Gage, Diane; Kennedy, James L; Kinkead, Becky; Macedo, Antonio; Moran, Jennifer L; Morley, Christopher P; Dewan, Mantosh J; Nemesh, James; Perkins, Diana O; Purcell, Shaun M; Rakofsky, Jeffrey J; Scolnick, Edward M; Sklar, Brooke M; Sklar, Pamela; Smoller, Jordan W; Sullivan, Patrick F; Macciardi, Fabio; Marder, Stephen R; Gur, Ruben C; Gur, Raquel E; Braff, David L; Consortium on the Genetics of Schizophrenia (COGS) Investigators; Nicolini, Humberto; Escamilla, Michael A; Vawter, Marquis P; Sobell, Janet L; Malaspina, Dolores; Lehrer, Douglas S; Buckley, Peter F; Rapaport, Mark H; Knowles, James A; Genomic Psychiatry Cohort (GPC) Consortium; Fanous, Ayman H; Pato, Michele T; McCarroll, Steven A; Pato, Carlos NOctober 2020Not Determined
31566202Create StudyPhysical Functional Limitations in a First-Admission Cohort at Midlife: Findings From the Suffolk County Mental Health Project.The journals of gerontology. Series A, Biological sciences and medical sciencesClouston, Sean A P; Jonas, Katherine; Fochtmann, Laura J; Bromet, Evelyn J; Kotov, RomanJune 2020Not Determined
30753725Create StudyCommon Taxonomy of Traits and Symptoms: Linking Schizophrenia Symptoms, Schizotypy, and Normal Personality.Schizophrenia bulletinCicero, David C; Jonas, Katherine G; Li, Kaiqiao; Perlman, Greg; Kotov, RomanOctober 2019Not Determined
30584027Create StudyApolipoprotein E-ε4 allele predicts escalation of psychotic symptoms in late adulthood.Schizophrenia researchJonas, Katherine; Clouston, Sean; Li, Kaiqiao; Fochtmann, Laura J; Lencz, Todd; Malhotra, Anil K; Cicero, David; Perlman, Greg; Bromet, Evelyn J; Kotov, RomanApril 2019Not Determined
30505284Create StudyElectrocortical Responses to Emotional Stimuli in Psychotic Disorders: Comparing Schizophrenia Spectrum Disorders and Affective Psychosis.Frontiers in psychiatryCulbreth, Adam J; Foti, Dan; Barch, Deanna M; Hajcak, Greg; Kotov, RomanJanuary 2018Not Determined
29788473Create StudyEnhancing Psychosis-Spectrum Nosology Through an International Data Sharing Initiative.Schizophrenia bulletinDocherty AR, Fonseca-Pedrero E, Debbané M, Chan RCK, Linscott RJ, Jonas KG, Cicero DC, Green MJ, Simms LJ, Mason O, Watson D, Ettinger U, Waszczuk M, Rapp A, Grant P, Kotov R, Deyoung CG, Ruggero CJ, Eaton NR, Krueger RF, Patrick C, Hopwood C, O'Neill FA, Zald DH, Conway CC, et al.October 2018Not Determined
29472164Create StudyAssociations of independent living and labor force participation with impairment indicators in schizophrenia and bipolar disorder at 20-year follow-up.Schizophrenia researchStrassnig, M; Kotov, R; Fochtmann, L; Kalin, M; Bromet, E J; Harvey, P DJuly 2018Not Determined
28774193Create StudyDeclining Clinical Course of Psychotic Disorders Over the Two Decades Following First Hospitalization: Evidence From the Suffolk County Mental Health Project.The American journal of psychiatryKotov, Roman; Fochtmann, Laura; Li, Kaiqiao; Tanenberg-Karant, Marsha; Constantino, Eduardo A; Rubinstein, Joan; Perlman, Greg; Velthorst, Eva; Fett, Anne-Kathrin J; Carlson, Gabrielle; Bromet, Evelyn JNovember 2017Not Determined
28743064Create StudyHealth status and mobility limitations are associated with residential and employment status in schizophrenia and bipolar disorder.Journal of psychiatric researchStrassnig M, Cornacchio D, Harvey PD, Kotov R, Fochtmann L, Bromet EJJuly 2017Not Relevant
28574189Create StudyTwenty-year progression of body mass index in a county-wide cohort of people with schizophrenia and bipolar disorder identified at their first episode of psychosis.Bipolar disordersStrassnig M, Kotov R, Cornaccio D, Fochtmann L, Harvey PD, Bromet EJJune 2017Relevant
28557508Create StudyNeural markers of emotional face perception across psychotic disorders and general population.Journal of abnormal psychologySabharwal, Amri; Kotov, Roman; Szekely, Akos; Leung, Hoi-Chung; Barch, Deanna M; Mohanty, AprajitaJuly 2017Not Determined
27978770Create StudyThe 20-Year Longitudinal Trajectories of Social Functioning in Individuals With Psychotic Disorders.The American journal of psychiatryVelthorst E, Fett AJ, Reichenberg A, Perlman G, Van Os J, Bromet EJ, Kotov RNovember 2017Not Determined
helpcenter.collection.publications-tab

NDA Help Center

Collection - Publications

The number of Publications is displayed in parentheses next to the tab name. Clicking on any of the Publication Titles will open the Publication in a new internet browsing tab.

Collection Owners, Program Officers, and users with Submission or Administrative Privileges for the Collection may mark a publication as either Relevant or Not Relevant in the Status column.

Frequently Asked Questions

  • How can I determine if a publication is relevant?
    Publications are considered relevant to a collection when the data shared is directly related to the project or collection.
  • Where does the NDA get the publications?
    PubMed, an online library containing journals, articles, and medical research. Sponsored by NiH and National Library of Medicine (NLM).

Glossary

  • Create Study
    A link to the Create an NDA Study page that can be clicked to start creating an NDA Study with information such as the title, journal and authors automatically populated.
  • Not Determined Publication
    Indicates that the publication has not yet been reviewed and/or marked as Relevant or Not Relevant so it has not been determined whether an NDA Study is expected.
  • Not Relevant Publication
    A publication that is not based on data related to the aims of the grant/project associated with the Collection or not based on any data such as a review article and, therefore, an NDA Study is not expected to be created.
  • PubMed
    PubMed provides citation information for biomedical and life sciences publications and is managed by the U.S. National Institutes of Health's National Library of Medicine.
  • PubMed ID
    The PUBMed ID is the unique ID number for the publication as recorded in the PubMed database.
  • Relevant Publication
    A publication that is based on data related to the aims of the grant/project associated with the Collection and, therefore, an NDA Study is expected to be created.
Data Expected List: Mandatory Data Structures

These data structures are mandatory for your NDA Collection. Please update the Targeted Enrollment number to accurately represent the number of subjects you expect to submit for the entire study.

For NIMH HIV-related research that involves human research participants: Select the dictionary or dictionaries most appropriate for your research. If your research does not require all three data dictionaries, just ignore the ones you do not need. There is no need to delete extra data dictionaries from your NDA Collection. You can adjust the Targeted Enrollment column in the Data Expected tab to “0” for those unnecessary data dictionaries. At least one of the three data dictionaries must have a non-zero value.

Data ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
Research Subject and Pedigree info icon
12001/15/2018
569
Approved
To create your project's Data Expected list, use the "+New Data Expected" to add or request existing structures and to request new Data Structures that are not in the NDA Data Dictionary.

If the Structure you need already exists, locate it and specify your dates and enrollment when adding it to your Data Expected list. If you require changes to the Structure you need, select the indicator stating "No, it requires changes to meet research needs," and upload a file containing your requested changes.

If the structure you need is not yet defined in the Data Dictionary, you can select "Upload Definition" and attach the necessary materials to request its creation.

When selecting the expected dates for your data, make sure to follow the standard Data Sharing Regimen and choose dates within the date ranges that correspond to your project start and end dates.

Please visit the Completing Your Data Expected Tutorial for more information.
Data Expected List: Data Structures per Research Aims

These data structures are specific to your research aims and should list all data structures in which data will be collected and submitted for this NDA Collection. Please update the Targeted Enrollment number to accurately represent the number of subjects you expect to submit for the entire study.

Data ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
Medical History info icon
12001/15/2018
569
Approved
Clinical Global Impression (CGI) info icon
12001/15/2018
569
Approved
Structured Clinical Interview for DSM (SCID) info icon
12001/15/2018
569
Approved
Scales for the Assessment of Positive/Negative Symptoms info icon
12001/15/2018
569
Approved
Big Five Inventory info icon
12001/15/2018
569
Approved
DSM IV Criteria info icon
12001/15/2018
569
Approved
Physical Exam info icon
12001/15/2018
569
Approved
Brief Psychiatric Rating Scale info icon
12001/15/2018
569
Approved
Brief Assessment of Cognition info icon
12001/15/2018
569
Approved
Trail Making Test (Child and Adult) info icon
12001/15/2018
569
Approved
WHO Disability Assessment Schedule info icon
12001/15/2018
569
Approved
Color Reading Interference (Stroop) info icon
12001/15/2018
569
Approved
Inventory of Depression and Anxiety Symptoms info icon
12001/15/2018
569
Approved
Controlled Oral Word Association Test info icon
12001/15/2018
569
Approved
Digit Symbol Substitution Test info icon
12001/15/2018
569
Approved
Short Form Health Survey info icon
12001/15/2018
569
Approved
EEG info icon
12001/15/2018
419
Approved
Psychological Functioning info icon
12001/15/2018
569
Approved
PROMIS Support info icon
12001/15/2018
569
Approved
Schedule for Nonadaptive and Adaptive Personality info icon
12001/15/2018
569
Approved
Affect Balance Scale info icon
12001/15/2018
569
Approved
Short Physical Performance Battery info icon
12001/15/2018
569
Approved
Predictors of Relapse and Rehospitalization info icon
12001/15/2018
569
Approved
Structure not yet defined
No Status history for this Data Expected has been recorded yet
helpcenter.collection.data-expected-tab

NDA Help Center

Collection - Data Expected

The Data Expected tab displays the list of all data that NDA expects to receive in association with the Collection as defined by the contributing researcher, as well as the dates for the expected initial upload of the data, and when it is first expected to be shared, or with the research community. Above the primary table of Data Expected, any publications determined to be relevant to the data within the Collection are also displayed - members of the contributing research group can use these to define NDA Studies, connecting those papers to underlying data in NDA.

The tab is used both as a reference for those accessing shared data, providing information on what is expected and when it will be shared, and as the primary tracking mechanism for contributing projects. It is used by both contributing primary researchers, secondary researchers, and NIH Program and Grants Management staff.

Researchers who are starting their project need to update their Data Expected list to include all the Data Structures they are collecting under their grant and set their initial submission and sharing schedule according to the NDA Data Sharing Regimen.

To add existing Data Structures from the Data Dictionary, to request new Data Structure that are not in the Dictionary, or to request changes to existing Data Structures, click "+New Data Expected".

For step-by-step instructions on how to add existing Data Structures, request changes to an existing Structure, or request a new Data Structure, please visit the Completing Your Data Expected Tutorial.

If you are a contributing researcher creating this list for the first time, or making changes to the list as your project progress, please note the following:

  • Although items you add to the list and changes you make are displayed, they are not committed to the system until you Save the entire page using the "Save" button at the bottom of your screen. Please Save after every change to ensure none of your work is lost.
  • If you attempt to add a new structure, the title you provide must be unique - if another structure exists with the same name your change will fail.
  • Adding a new structure to this list is the only way to request the creation of a new Data Dictionary definition.

Frequently Asked Questions

  • What is an NDA Data Structure?
    An NDA Data Structure is comprised of multiple Data Elements to make up an electronic definition of an assessment, measure, questionnaire, etc will have a corresponding Data Structure.
  • What is the NDA Data Dictionary?
    The NDA Data Dictionary is comprised of electronic definitions known as Data Structures.

Glossary

  • Analyzed Data
    Data specific to the primary aims of the research being conducted (e.g. outcome measures, other dependent variables, observations, laboratory results, analyzed images, volumetric data, etc.) including processed images.
  • Data Item
    Items listed on the Data Expected list in the Collection which may be an individual and discrete Data Structure, Data Structure Category, or Data Structure Group.
  • Data Structure
    A defined organization and group of Data Elements to represent an electronic definition of a measure, assessment, questionnaire, or collection of data points. Data structures that have been defined in the NDA Data Dictionary are available at https://nda.nih.gov/general-query.html?q=query=data-structure
  • Data Structure Category
    An NDA term describing the affiliation of a Data Structure to a Category, which may be disease/disorder or diagnosis related (Depression, ADHD, Psychosis), specific to data type (MRI, eye tracking, omics), or type of data (physical exam, IQ).
  • Data Structure Group
    A Data Item listed on the Data Expected tab of a Collection that indicates a group of Data Structures (e.g., ADOS or SCID) for which data may be submitted instead of a specific Data Structure identified by version, module, edition, etc. For example, the ADOS Data Structure Category includes every ADOS Data Structure such as ADOS Module 1, ADOS Module 2, ADOS Module 1 - 2nd Edition, etc. The SCID Data Structure Group includes every SCID Data Structure such as SCID Mania, SCID V Mania, SCID PTSD, SCID-V Diagnosis, and more.
  • Evaluated Data
    A new Data Structure category, Evaluated Data is analyzed data resulting from the use of computational pipelines in the Cloud and can be uploaded directly back to a miNDAR database. Evaluated Data is expected to be listed as a Data Item in the Collection's Data Expected Tab.
  • Imaging Data
    Imaging+ is an NDA term which encompasses all imaging related data including, but not limited to, images (DTI, MRI, PET, Structural, Spectroscopy, etc.) as well as neurosignal data (EEG, fMRI, MEG, EGG, eye tracking, etc.) and Evaluated Data.
  • Initial Share Date
    Initial Submission and Initial Share dates should be populated according to the NDA Data Sharing Terms and Conditions. Any modifications to these will go through the approval processes outlined above. Data will be shared with authorized users upon publication (via an NDA Study) or 1-2 years after the grant end date specified on the first Notice of Award, as defined in the applicable Data Sharing Terms and Conditions.
  • Initial Submission Date
    Initial Submission and Initial Share dates should be populated according to these NDA Data Sharing Terms and Conditions. Any modifications to these will go through the approval processes outlined above. Data for all subjects is not expected on the Initial Submission Date and modifications may be made as necessary based on the project's conduct.
  • Research Subject and Pedigree
    An NDA created Data Structure used to convey basic information about the subject such as demographics, pedigree (links family GUIDs), diagnosis/phenotype, and sample location that are critical to allow for easier querying of shared data.
  • Submission Cycle
    The NDA has two Submission Cycles per year - January 15 and July 15.
  • Submission Exemption
    An interface to notify NDA that data may not be submitted during the upcoming/current submission cycle.

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

Associated Studies

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

Study NameDOIAbstractCollection/Study SubjectsData UsageState
Intraindividual Variability of Event-Related Potentials in Psychosis: A Registered Report10.15154/5vm9-f928Background: Neurophysiological tools have yielded valuable insights into the pathophysiology and treatment of psychosis. However, studies using event-related potentials (ERPs) primarily focus on mean scores and neglect within-person variability of ERP scores. The neglect of within-person variability of ERPs in the search for biomarkers might result in missed crucial differences related to psychosis. This registered report aimed to determine whether distinct patterns of intraindividual variability in ERP biomarkers are observed in people with a lifetime psychosis diagnosis. Methods: Publicly available data posted to the NIMH Data Archive for 1R01MH110434-01 was obtained for 162 patients with a lifetime history of psychosis and 178 never-psychotic controls. Participants completed tasks that measured auditory mismatch negativity (MMN), P300, error-related negativity (ERN), and reward positivity (RewP). Multilevel location-scale models were used to determine whether patients show greater intraindividual variability of ERP scores than controls. Results: Contrary to predictions, groups did not differ in within-person variability of MMN-frequency, P3, or ERN; patients showed less variability in MMN-duration than controls. Exploratory analyses of a subset of patients with schizophrenia showed greater variability in this group than in controls for MMN. Greater severity of thought disorder and activation symptoms were associated with higher intraindividual MMN variability. Discussion: Distinct patterns of intraindividual variability in the measured ERPs were not observed for the broad group of people with lifetime psychotic disorders. Exploratory analyses suggest that intraindividual differences in ERPs are more relevant to schizophrenia and certain symptom dimensions than to psychotic disorders broadly, but research is needed to confirm these exploratory findings. 340/340Secondary AnalysisShared
The Impact of ERP Reliability Cutoffs on Sample Characteristics and Effect Sizes: Performance-Monitoring ERPs in Psychosis and Healthy Controls10.15154/0pxp-hh95In studies of event-related brain potentials (ERPs), it is common practice to exclude participants for having too few trials for analysis to ensure adequate score reliability (i.e., internal consistency). However, in research involving clinical samples, the impact of increasingly rigorous reliability standards on factors such as sample generalizability, patient vs. control effect sizes, and effect sizes for within-group correlations with external variables is unclear. This study systematically evaluated whether different ERP reliability cutoffs impacted these factors in psychosis. Error-related negativity (ERN) and error positivity (Pe) were assessed during a modified flanker task in 97 patients with psychosis and 104 healthy comparison participants, who also completed measures of cognition and psychiatric symptoms. ERP reliability cutoffs had notably different effects on the factors considered. A recommended reliability cutoff of .80 resulted in sample bias due to systematic exclusion of patients with relatively few task errors, lower reported psychiatric symptoms, and higher levels of cognitive functioning. ERP score reliability lower than .80 resulted in generally smaller between- and within-group effect sizes, likely misrepresenting effect sizes. Imposing rigorous ERP reliability standards in studies of psychotic disorders might exclude high-functioning patients, which raises important considerations for the generalizability of clinical ERP research. 201/201Secondary AnalysisShared
Trial-By-Trial ERP-Behavior Relationships in Psychosis: Between- and Within-Person Variability in Performance Monitoring Adjustments10.15154/2pt7-8962Cognitive impairment in schizophrenia, characterized by deficits in performance monitoring, predicts clinical and functional outcomes. The error-related negativity (ERN), a neurophysiological index of error detection, is reduced in psychosis, but it is unclear why this impaired error detection is not closely linked to post-error behavioral adjustments. A possibility is that research has overrelied on examining between-person relationships of average ERN and behavior, rather than focusing on within-person, trial-by-trial changes. This study aimed to determine whether neurophysiological indices of error detection (ERN, error positivity [Pe]) predict within-person post-error behavioral adjustments in psychotic disorders and whether these relationships are weaker in people with psychosis than in controls. ERN and Pe were assessed during a modified flanker task in 72 patients with psychosis and 82 healthy comparison participants. Multilevel location-scale models were used to examine trial-by-trial changes in the relationships between ERPs and behavior (response [RTs], accuracy). Results showed that ERP-RT relationships were similar across patients and controls. In both groups, greater within-person increases in ERN amplitude predicted longer and mor variable RTs following correct trials. Larger within-person increases in Pe predicted shorter and more variable RTs following correct trials, but less variable RTs following error trials. Exploratory analyses in a subset of patients with schizophrenia showed a similar pattern of effects as in the overall analyses. ERP-accuracy relationships were neither observed nor moderated by diagnostic groups. Within-person ERP-behavior relationships were preserved in psychosis, indicating intact performance monitoring at the individual level. This supports performance-monitoring as a transdiagnostic construct and underscores the importance of examining intraindividual variability to understand performance monitoring in psychotic disorders.154/154Secondary AnalysisShared
* Data not on individual level
helpcenter.collection.associated-studies-tab

NDA Help Center

Collection - Associated Studies

Clicking on the Study Title will open the study details in a new internet browser tab. The Abstract is available for viewing, providing the background explanation of the study, as provided by the Collection Owner.

Primary v. Secondary Analysis: The Data Usage column will have one of these two choices. An associated study that is listed as being used for Primary Analysis indicates at least some and potentially all of the data used was originally collected by the creator of the NDA Study. Secondary Analysis indicates the Study owner was not involved in the collection of data, and may be used as supporting data.

Private v. Shared State: Studies that remain private indicate the associated study is only available to users who are able to access the collection. A shared study is accessible to the general public.

Frequently Asked Questions

  • How do I associate a study to my collection?
    Studies are associated to the Collection automatically when the data is defined in the Study.

Glossary

  • Associated Studies Tab
    A tab in a Collection that lists the NDA Studies that have been created using data from that Collection including both Primary and Secondary Analysis NDA Studies.
Edit