R01MH122537
Project Grant
Overview
Grant Description
Development of Negative Valence Measures - Project Abstract
Research Domain Criteria (RDoC) is a breakthrough framework for understanding the etiology of mental disorders, but it has no clinical traction at present. Of the RDoC units of analysis, self-report measures can be most feasibly implemented in a clinic, but many self-reports for RDoC's Negative Valence Systems (NVS) constructs have psychometric shortcomings and lack normative data.
We seek to develop psychometrically sound, brief, and validated self-report measures (questionnaires and interviews) of each NVS construct with strong normative data. We will investigate linkages of these self-report measures to other RDoC units of analyses (behavior, task performance, and psychophysiology) to identify self-reports that align with NVS dimensions most strongly and specifically.
Also, we will fully characterize clinical manifestations of NVS constructs using a comprehensive dimensional system of symptoms, maladaptive traits, and behaviors (Hierarchical Taxonomy of Psychopathology; HiTOP). The direct counterpart of NVS is internalizing psychopathology, which HiTOP describes with high resolution using 36 specific dimensions.
Measure development will be carried out in 2 successive phases, each including a sample of (a) 400 outpatients in psychiatric clinics and (b) 600 community-dwellers. Participants will be adults selected to be representative of the US adult population in terms of age, sex, and ethnicity to obtain strong normative data.
In Phase 3, we will validate self-report measures against physiology, task performance, and behavior markers of NVS aligned with the RDoC matrix in a new sample of 300 community adults and 300 psychiatric outpatients. We also will study the longitudinal validity of all new measures over a one-year interval.
To facilitate rapid and ethnically diverse data collection, three recruitment sites—Buffalo, NY, Stony Brook, NY, and Dallas/Denton, TX—are proposed. The proposed research will provide a comprehensive catalogue of self-reported characteristics linked to NVS. This will produce stronger measures of NVS constructs and a cross-walk to their clinical manifestations, which will enable clinical translation of NVS.
The resulting instruments will be normed, reliable, and highly efficient, and thus scalable to mobile monitoring, screening, and self-administration at population level and clinically. The rigorous and systematic linkage between RDoC NVS constructs and HiTOP internalizing dimensions will be the first step to bringing RDoC and HiTOP together into a unified and evidence-based nosology that integrates etiologic and clinical characterizations of patients.
Research Domain Criteria (RDoC) is a breakthrough framework for understanding the etiology of mental disorders, but it has no clinical traction at present. Of the RDoC units of analysis, self-report measures can be most feasibly implemented in a clinic, but many self-reports for RDoC's Negative Valence Systems (NVS) constructs have psychometric shortcomings and lack normative data.
We seek to develop psychometrically sound, brief, and validated self-report measures (questionnaires and interviews) of each NVS construct with strong normative data. We will investigate linkages of these self-report measures to other RDoC units of analyses (behavior, task performance, and psychophysiology) to identify self-reports that align with NVS dimensions most strongly and specifically.
Also, we will fully characterize clinical manifestations of NVS constructs using a comprehensive dimensional system of symptoms, maladaptive traits, and behaviors (Hierarchical Taxonomy of Psychopathology; HiTOP). The direct counterpart of NVS is internalizing psychopathology, which HiTOP describes with high resolution using 36 specific dimensions.
Measure development will be carried out in 2 successive phases, each including a sample of (a) 400 outpatients in psychiatric clinics and (b) 600 community-dwellers. Participants will be adults selected to be representative of the US adult population in terms of age, sex, and ethnicity to obtain strong normative data.
In Phase 3, we will validate self-report measures against physiology, task performance, and behavior markers of NVS aligned with the RDoC matrix in a new sample of 300 community adults and 300 psychiatric outpatients. We also will study the longitudinal validity of all new measures over a one-year interval.
To facilitate rapid and ethnically diverse data collection, three recruitment sites—Buffalo, NY, Stony Brook, NY, and Dallas/Denton, TX—are proposed. The proposed research will provide a comprehensive catalogue of self-reported characteristics linked to NVS. This will produce stronger measures of NVS constructs and a cross-walk to their clinical manifestations, which will enable clinical translation of NVS.
The resulting instruments will be normed, reliable, and highly efficient, and thus scalable to mobile monitoring, screening, and self-administration at population level and clinically. The rigorous and systematic linkage between RDoC NVS constructs and HiTOP internalizing dimensions will be the first step to bringing RDoC and HiTOP together into a unified and evidence-based nosology that integrates etiologic and clinical characterizations of patients.
Funding Goals
NOT APPLICABLE
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Buffalo,
New York
142604110
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 332% from $804,421 to $3,474,001.
The Research Foundation For The State University Of New York was awarded
Development of NVS Self-Report Measures
Project Grant R01MH122537
worth $3,474,001
from the National Institute of Mental Health in April 2021 with work to be completed primarily in Buffalo New York United States.
The grant
has a duration of 4 years and
was awarded through assistance program 93.242 Mental Health Research Grants.
The Project Grant was awarded through grant opportunity Development and Optimization of Tasks and Measures for Functional Domains of Behavior (R01 Clinical Trial Not Allowed).
Status
(Complete)
Last Modified 7/19/24
Period of Performance
4/1/21
Start Date
3/31/25
End Date
Funding Split
$3.5M
Federal Obligation
$0.0
Non-Federal Obligation
$3.5M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for R01MH122537
Transaction History
Modifications to R01MH122537
Additional Detail
Award ID FAIN
R01MH122537
SAI Number
R01MH122537-1042562032
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Other
Awarding Office
75N700 NIH NATIONAL INSTITUTE OF MENTAL HEALTH
Funding Office
75N700 NIH NATIONAL INSTITUTE OF MENTAL HEALTH
Awardee UEI
LMCJKRFW5R81
Awardee CAGE
3GQT6
Performance District
NY-26
Senators
Kirsten Gillibrand
Charles Schumer
Charles Schumer
Budget Funding
Federal Account | Budget Subfunction | Object Class | Total | Percentage |
---|---|---|---|---|
National Institute of Mental Health, National Institutes of Health, Health and Human Services (075-0892) | Health research and training | Grants, subsidies, and contributions (41.0) | $1,941,088 | 100% |
Modified: 7/19/24