R01MH130578
Project Grant
Overview
Grant Description
Resilient Emotion Regulation Development in a South African Birth Cohort - Project Summary
Adolescents in low-/middle-income countries (LMICs) lose substantial developmental potential from exposure to early adversities, with an estimated 250 million children at risk of not reaching their developmental potential. Such catastrophic loss of human potential occurs in the context of the 10/90 divide – 10% of our current scientific knowledge is produced in or by LMICs that comprise 90% of the world’s population. This skewed evidence base has led to a limited understanding of patterns of risk and resilience in brain development for the vast majority of the world’s adolescents.
Emotion regulation (ER), the internal and external process that modifies the experience or expression of an emotion, is a key mediator between early adversity and outcomes, and yet, the lack of data on ER in youth from most of the world is of concern given evidence that context shapes the socialization of emotion. The proposed research addresses this significant mental health problem by combining a) sophisticated data analytic techniques and b) community-guided/-participatory research applied to longitudinal multimodal brain imaging, high-dimensional behavioral assessments, and comprehensive defining of environmental exposures (both adverse and protective) from a well-established and deeply-characterized birth cohort of early adolescents in Cape Town, South Africa.
The goal of the present work is to create an explanatory model for the impact of protective factors on neurodevelopmental trajectories underlying ER resilience. The premise is that early adversities are heterogeneous, powerful events that significantly increase the risk of poor ER, but also that resilience factors experienced during early adolescence can mitigate/ameliorate these risks. Therefore, prediction of ER outcomes requires cutting-edge, sophisticated data analytic methods. We hypothesize that data-driven approaches will 1) more precisely define ER behavioral profiles for adolescents living in LMICs who are exposed to heterogeneous adversities, and 2) provide a robust explanatory model for links between resilience factors and ER neurobehavioral trajectories.
Aim 1 subtypes 525 12-13 year-old adolescents in an established LMIC birth cohort based on early environmental exposures and then tests for neural correlates of ER behavioral resilience (based on MRI measures of functional connectivity, task-based activity, and morphometry) accounting for early adversity subtype.
Aim 2 identifies changes in neurobiology that underlie improvements in adolescent ER and develops an explanatory model to predict 2-year (Time2-Time1) longitudinal ER resilience trajectory subtypes based on concurrent environmental exposures (protective and adverse), accounting for early adversity subtype. The inclusion of participant-sex and pubertal status will identify potential divergence in pathways across early adolescence.
We use a prospective approach together with machine learning methods with the goal of improving precision and inclusivity in recognizing and characterizing resilience to socio-economic, structural, health, and interpersonal adversities.
Adolescents in low-/middle-income countries (LMICs) lose substantial developmental potential from exposure to early adversities, with an estimated 250 million children at risk of not reaching their developmental potential. Such catastrophic loss of human potential occurs in the context of the 10/90 divide – 10% of our current scientific knowledge is produced in or by LMICs that comprise 90% of the world’s population. This skewed evidence base has led to a limited understanding of patterns of risk and resilience in brain development for the vast majority of the world’s adolescents.
Emotion regulation (ER), the internal and external process that modifies the experience or expression of an emotion, is a key mediator between early adversity and outcomes, and yet, the lack of data on ER in youth from most of the world is of concern given evidence that context shapes the socialization of emotion. The proposed research addresses this significant mental health problem by combining a) sophisticated data analytic techniques and b) community-guided/-participatory research applied to longitudinal multimodal brain imaging, high-dimensional behavioral assessments, and comprehensive defining of environmental exposures (both adverse and protective) from a well-established and deeply-characterized birth cohort of early adolescents in Cape Town, South Africa.
The goal of the present work is to create an explanatory model for the impact of protective factors on neurodevelopmental trajectories underlying ER resilience. The premise is that early adversities are heterogeneous, powerful events that significantly increase the risk of poor ER, but also that resilience factors experienced during early adolescence can mitigate/ameliorate these risks. Therefore, prediction of ER outcomes requires cutting-edge, sophisticated data analytic methods. We hypothesize that data-driven approaches will 1) more precisely define ER behavioral profiles for adolescents living in LMICs who are exposed to heterogeneous adversities, and 2) provide a robust explanatory model for links between resilience factors and ER neurobehavioral trajectories.
Aim 1 subtypes 525 12-13 year-old adolescents in an established LMIC birth cohort based on early environmental exposures and then tests for neural correlates of ER behavioral resilience (based on MRI measures of functional connectivity, task-based activity, and morphometry) accounting for early adversity subtype.
Aim 2 identifies changes in neurobiology that underlie improvements in adolescent ER and develops an explanatory model to predict 2-year (Time2-Time1) longitudinal ER resilience trajectory subtypes based on concurrent environmental exposures (protective and adverse), accounting for early adversity subtype. The inclusion of participant-sex and pubertal status will identify potential divergence in pathways across early adolescence.
We use a prospective approach together with machine learning methods with the goal of improving precision and inclusivity in recognizing and characterizing resilience to socio-economic, structural, health, and interpersonal adversities.
Funding Goals
THE MISSION OF THE NATIONAL INSTITUTE OF MENTAL HEALTH (NIMH) IS TO TRANSFORM THE UNDERSTANDING AND TREATMENT OF MENTAL ILLNESSES THROUGH BASIC AND CLINICAL RESEARCH, PAVING THE WAY FOR PREVENTION, RECOVERY, AND CURE. IN MAY 2020, NIMH RELEASED ITS NEW STRATEGIC PLAN FOR RESEARCH. THE NEW STRATEGIC PLAN BUILDS ON THE SUCCESSES OF PREVIOUS NIMH STRATEGIC PLANS BY PROVIDING A FRAMEWORK FOR SCIENTIFIC RESEARCH AND EXPLORATION, AND ADDRESSING NEW CHALLENGES IN MENTAL HEALTH. THE NEW STRATEGIC PLAN OUTLINES FOUR HIGH-LEVEL GOALS: GOAL 1: DEFINE THE BRAIN MECHANISMS UNDERLYING COMPLEX BEHAVIORS GOAL 2: EXAMINE MENTAL ILLNESS TRAJECTORIES ACROSS THE LIFESPAN GOAL 3: STRIVE FOR PREVENTION AND CURES GOAL 4: STRENGTHEN THE PUBLIC HEALTH IMPACT OF NIMH-SUPPORTED RESEARCH THESE FOUR GOALS FORM A BROAD ROADMAP FOR THE INSTITUTE'S RESEARCH PRIORITIES OVER THE NEXT FIVE YEARS, BEGINNING WITH THE FUNDAMENTAL SCIENCE OF THE BRAIN AND BEHAVIOR, AND EXTENDING THROUGH EVIDENCE-BASED SERVICES THAT IMPROVE PUBLIC HEALTH OUTCOMES. THE INSTITUTE'S OVERALL FUNDING STRATEGY IS TO SUPPORT A BROAD SPECTRUM OF INVESTIGATOR-INITIATED RESEARCH IN FUNDAMENTAL SCIENCE, WITH INCREASING USE OF INSTITUTE-SOLICITED INITIATIVES FOR APPLIED RESEARCH WHERE PUBLIC HEALTH IMPACT IS A SHORT-TERM MEASURE OF SUCCESS. THE NEW STRATEGIC PLAN ALSO ADDRESSES A NUMBER OF CROSS-CUTTING THEMES THAT ARE RELEVANT TO ALL RESEARCH SUPPORTED BY NIMH, THESE THEMES HIGHLIGHT AREAS WHERE NIMH-FUNDED SCIENCE MAY HAVE THE GREATEST IMPACT, BRIDGE GAPS, AND OFFER NOVEL APPROACHES TO ACCELERATE ADVANCES IN MENTAL HEALTH RESEARCH. FOR EXAMPLE, NIMH VALUES A COMPREHENSIVE RESEARCH AGENDA THAT TAKES AN INCLUSIVE APPROACH THAT ENSURES RESEARCH INTERESTS ARE VARIED, MAINTAIN DIVERSE PARTICIPATION AND PARTNERSHIPS, AND ACHIEVE RESEARCH GOALS ACROSS MULTIPLE TIMEFRAMES. THIS INCLUDES DIVERSE METHODOLOGIES, TOOLS, AND MODELS, RESEARCH ADDRESSING COMPLEX BASIC, TRANSLATIONAL, AND APPLIED QUESTIONS, RESEARCH INCLUDING BOTH SEXES AND, AS APPROPRIATE, GENETIC BACKGROUND, AND, PARTICIPANTS FROM DIVERSE RACIAL AND ETHNIC BACKGROUNDS, AND ACROSS GENDER IDENTITIES, GEOGRAPHICAL CONTEXT, SOCIOECONOMIC STATUS, NEUROTYPE, AND AGE OFFERING THE BEST POSSIBLE REPRESENTATION, FOR THE BROADEST NUMBER OF INDIVIDUALS WHO MAY ULTIMATELY BENEFIT FROM THESE SCIENTIFIC ADVANCES. TO ACCOMPLISH THE GOALS OUTLINED IN THE NEW STRATEGIC PLAN, NIMH WILL SUPPORT RESEARCH THAT AIMS: TO CHARACTERIZE THE GENOMIC, MOLECULAR, CELLULAR, AND CIRCUIT COMPONENTS CONTRIBUTING TO BRAIN ORGANIZATION AND FUNCTION, TO IDENTIFY THE DEVELOPMENTAL, FUNCTIONAL, AND REGULATORY MECHANISMS RELEVANT TO COGNITIVE, AFFECTIVE, AND SOCIAL DOMAINS, ACROSS UNITS OF ANALYSIS, AND, TO GENERATE AND VALIDATE NOVEL TOOLS, TECHNIQUES, AND MEASURES TO QUANTIFY CHANGES IN THE ACTIVITY OF MOLECULES, CELLS, CIRCUITS, AND CONNECTOMES. TO DISCOVER GENE VARIANTS AND OTHER GENOMIC ELEMENTS THAT CONTRIBUTE TO THE DEVELOPMENT OF MENTAL ILLNESSES IN DIVERSE POPULATIONS, TO ADVANCE OUR UNDERSTANDING OF THE COMPLEX ETIOLOGY OF MENTAL ILLNESSES USING MOLECULAR EPIDEMIOLOGIC APPROACHES THAT INCORPORATE INDIVIDUAL GENETIC INFORMATION IN LARGE COHORTS, TO ELUCIDATE HOW HUMAN GENETIC VARIATION AFFECTS THE COORDINATION OF MOLECULAR, CELLULAR, AND PHYSIOLOGICAL NETWORKS SUPPORTING HIGHER-ORDER FUNCTIONS AND EMERGENT PROPERTIES OF NEUROBIOLOGICAL SYSTEMS, AND, TO DEVELOP NOVEL TOOLS AND TECHNIQUES FOR THE ANALYSIS OF LARGE-SCALE GENETIC, MULTI-OMIC DATA AS IT APPLIES TO MENTAL HEALTH. TO UTILIZE CONNECTOMIC APPROACHES TO IDENTIFY BRAIN NETWORKS AND CIRCUIT COMPONENTS THAT CONTRIBUTE TO VARIOUS ASPECTS OF MENTAL FUNCTION AND DYSFUNCTION, TO DETERMINE THROUGH BRAIN-WIDE ANALYSIS HOW CHANGES IN THE PHYSIOLOGICAL PROPERTIES OF MOLECULES, CELLS, AND CIRCUITS CONTRIBUTE TO MENTAL ILLNESSES, TO DEVELOP MOLECULAR, CELLULAR, AND CIRCUIT-LEVEL BIOMARKERS OF IMPAIRED NEURAL FUNCTION IN HUMANS, AND, TO DEVELOP INNOVATIVE TECHNOLOGIES, INCLUDING NEW IMAGING, COMPUTATIONAL, PHARMACOLOGICAL, AND GENETIC TOOLS TO INTERROGATE AND MODULATE CIRCUIT ACTIVITY AND STRUCTURE ALTERED IN MENTAL ILLNESSES. TO ELUCIDATE THE MECHANISMS CONTRIBUTING TO THE TRAJECTORIES OF BRAIN DEVELOPMENT AND BEHAVIOR, AND, TO CHARACTERIZE THE EMERGENCE AND PROGRESSION OF MENTAL ILLNESSES, AND IDENTIFYING SENSITIVE PERIODS FOR OPTIMAL INTERVENTION. TO DETERMINE EARLY RISK AND PROTECTIVE FACTORS, AND RELATED MECHANISMS, TO SERVE AS NOVEL INTERVENTION GROUPS, AND, TO DEVELOP RELIABLE AND ROBUST BIOMARKERS AND ASSESSMENT TOOLS TO PREDICT ILLNESS ONSET, COURSE, AND ACROSS DIVERSE POPULATIONS. TO DEVELOP NOVEL INTERVENTIONS USING A MECHANISM-INFORMED, EXPERIMENTAL THERAPEUTICS APPROACH, AND, TO DEVELOP AND IMPLEMENT MEASUREMENT STRATEGIES TO FACILITATE MECHANISM-BASED INTERVENTION DEVELOPMENT AND TESTING. TO INVESTIGATE PERSONALIZED INTERVENTION STRATEGIES ACROSS DISEASE PROGRESSION AND DEVELOPMENT, AND, TO DEVELOP AND REFINE COMPUTATIONAL APPROACHES AND RESEARCH DESIGNS THAT CAN BE USED TO INFORM AND TEST PERSONALIZED INTERVENTIONS. TO DEVELOP AND TEST APPROACHES FOR ADAPTING, COMBINING, AND SEQUENCING INTERVENTIONS TO ACHIEVE THE GREATEST IMPACT ON THE LIVES AND FUNCTIONING OF PERSONS SEEKING CARE, TO CONDUCT EFFICIENT PRAGMATIC TRIALS THAT EMPLOY NEW TOOLS TO RAPIDLY IDENTIFY, ENGAGE, ASSESS, AND FOLLOW PARTICIPANTS IN THE CONTEXT OF ROUTINE CARE, AND, TO ENHANCE THE PRACTICAL RELEVANCE OF EFFECTIVENESS RESEARCH VIA DEPLOYMENT-FOCUSED, HYBRID, EFFECTIVENESS-IMPLEMENTATION STUDIES. TO EMPLOY ASSESSMENT PLATFORMS WITHIN HEALTHCARE SYSTEMS TO ACCURATELY ASSESS THE DISTRIBUTION AND DETERMINANTS OF MENTAL ILLNESSES AND TO INFORM STRATEGIES FOR IMPROVED SERVICES, TO OPTIMIZE REAL-WORLD DATA COLLECTION SYSTEMS TO IDENTIFY STRATEGIES FOR IMPROVING ACCESS, QUALITY, EFFECTIVENESS, AND CONTINUITY OF MENTAL HEALTH SERVICES, AND, TO COMPARE ALTERNATIVE FINANCING MODELS TO PROMOTE EFFECTIVE AND EFFICIENT CARE FOR INDIVIDUALS WITH SERIOUS EMOTIONAL DISTURBANCES AND SERIOUS MENTAL ILLNESSES. TO STRENGTHEN PARTNERSHIPS WITH KEY STAKEHOLDERS TO DEVELOP AND VALIDATE STRATEGIES FOR IMPLEMENTING, SUSTAINING, AND CONTINUOUSLY IMPROVE EVIDENCE-BASED PRACTICES, TO BUILD MODELS TO SCALE-UP EVIDENCE-BASED PRACTICES FOR USE IN PUBLIC AND PRIVATE PRIMARY CARE, SPECIALTY CARE AND OTHER SETTINGS, AND, TO DEVELOP DECISION-SUPPORT TOOLS AND TECHNOLOGIES THAT INCREASE THE EFFECTIVENESS AND CONTINUOUS IMPROVEMENT OF MENTAL HEALTH INTERVENTIONS IN PUBLIC AND PRIVATE PRIMARY CARE, SPECIALTY CARE, AND OTHER SETTINGS. TO ADAPT, VALIDATE, AND SCALE-UP PROGRAMS CURRENTLY IN USE THAT IMPROVE MENTAL HEALTH SERVICES FOR UNDERSERVED POPULATIONS, TO DEVELOP AND VALIDATE SERVICE DELIVERY MODELS THAT PROVIDE EVIDENCE-BASED CARE FOR INDIVIDUALS THROUGHOUT THE COURSE OF MENTAL ILLNESS, TO DEVELOP AND VALIDATE SYSTEMS-LEVEL STRATEGIES USING TECHNOLOGY AND OTHER APPROACHES, TO IDENTIFY, SUPPORT, AND MONITOR THE EFFECTIVENESS OF EVIDENCE-BASED CARE THROUGHOUT THE COURSE OF ILLNESS, AND, TO DEVELOP AND VALIDATE DECISION-MAKING MODELS THAT BRIDGE MENTAL HEALTH, MEDICAL, AND OTHER CARE SETTINGS TO INTEGRATE THE APPROPRIATE CARE FOR PEOPLE WITH SERIOUS MENTAL ILLNESSES AND COMORBID MEDICAL CONDITIONS.
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
New York,
New York
100277054
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 187% from $1,065,119 to $3,053,026.
The Trustees Of Columbia University In The City Of New York was awarded
Enhancing Adolescent Emotion Regulation Resilience in South Africa
Project Grant R01MH130578
worth $3,053,026
from the National Institute of Mental Health in August 2023 with work to be completed primarily in New York New York United States.
The grant
has a duration of 4 years 10 months and
was awarded through assistance program 93.242 Mental Health Research Grants.
The Project Grant was awarded through grant opportunity NIH Research Project Grant (Parent R01 Clinical Trial Not Allowed).
Status
(Ongoing)
Last Modified 9/24/25
Period of Performance
8/2/23
Start Date
6/30/28
End Date
Funding Split
$3.1M
Federal Obligation
$0.0
Non-Federal Obligation
$3.1M
Total Obligated
Activity Timeline
Transaction History
Modifications to R01MH130578
Additional Detail
Award ID FAIN
R01MH130578
SAI Number
R01MH130578-2071566243
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Private Institution Of Higher Education
Awarding Office
75N700 NIH National Institute of Mental Health
Funding Office
75N700 NIH National Institute of Mental Health
Awardee UEI
F4N1QNPB95M4
Awardee CAGE
1B053
Performance District
NY-13
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) | $1,065,119 | 100% |
Modified: 9/24/25