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RAD is a 10-year natural history, longitudinal, prospective assessment study of a cohort of 2,500 participants (ages 10-24 years) that will help uncover the socio-demographic, lifestyle, clinical, psychological, and neurobiological factors that contribute to resilience among children, adolescents, and young adults at-risk for mood and anxiety disorders. As this is an exploratory study, we will assess a comprehensive panel of carefully selected participant specific parameters, including socio-demographic, life habits, clinical, biological, behavioral, neurophysiological, and neuroimaging. The study is designed to observe and collect factors associated with resilience in a non-invasive fashion; no interventions or treatments will be conducted during the project. Assessments will be conducted up to 4 times per year for up to 10 years, as well as a baseline visit. Study visits will be conducted in person whenever feasible but may be completed by phone/mail/computer, if an in-person visit is not possible.
The primary objective of this initiative is identify and validate biosignatures of resilience. Specifically, the research will identify protective factors (socio-demographic, lifestyle, clinical and behavioral assessments, fluid-based biomarkers, genomics, neuroimaging, EEG, and cell-based assays) that reduce risk of developing mood and anxiety disorders in adolescents and young adults at risk for these illnesses.
Presence and severity of symptoms will be assessed over 10 years using questionnaires for symptom changes, social factors, and overall quality of life. Other outcomes generated from this study will include rate of change in quantitative measures of brain function, of depression relevant brain regions correlated with systems-levels behavior and other functional neuro-circuitry MRI measures. Rate of change of specified biochemical biomarkers will also be assessed. Integration of these measures will provide an unmatched understanding into the mechanisms of resilience and protection against depression and anxiety disorders and holds tremendous promise for identifying targets for prevention strategies.
Specific Aims of the RAD Study:
Aim 1 - Examine baseline biosignatures and independent factors (demographic, social, environmental, genetic, EEG, and fMRI) associated with resilience in at-risk adolescents and young adults.
Aim 2 - Examine changes in the biomarker factors annually for 10 years to determine for plasticity of these biomarkers.
Aim 3 - Examine the interaction between psychiatric symptoms and changes in the biopsychosocial signature.
Aim 4 - Evaluate psychological, social, and physiological correlates, from mobile based data, of mood changes to construct a model of risk and resilience to depression and mood disorders among adolescents and young adults.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Individual at risk for a Mood Disorder | Youth aged 10-24, male and female of all races and ethnicity with either: a) a personal history (anxiety disorder, conduct disorder, substance use disorder, etc.) of a mental health disorder that is a not a mood disorder, OR b) no current or past mood disorder, but with Biological Family history (ex. mother, father, siblings, uncles, aunts, etc.) of mood disorder, substance use disorder, suicide deaths or attempts, or other mental health disorder. | ||
| Healthy Individual | Youth aged 10-24, male and female of all races and ethnicity with no psychiatric diagnoses (no history of mood disorders and having no relative with a history of a mood disorder). |
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| Measure | Description | Time Frame |
|---|---|---|
| Depression Severity | Longitudinal changes in depression presence and severity of participants without a mood disorder on Patient Health Questionnaire (PHQ-9). Interpretation of Total Scores: 0-4: Minimal depression or no depression 5-9: Mild depression 10-14: Moderate depression 15-19: Moderately severe depression 20-27: Severe depression | 10 Years |
| Measure | Description | Time Frame |
|---|---|---|
| Functioning (MRI) | Comparison of Longitudinal changes in functioning as measured by Magnetic Resonance Imaging (MRI) in participants without a mood disorder. | 10 Years |
| Functioning (EEG) | Comparison of Longitudinal changes in functioning as measured by quantitative electroencephalography (EEG) in participants without a mood disorder. |
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Inclusion Criteria:
Youth aged 10-24, male and female of all races and ethnicity.
Able to speak, read, and understand English. However, the parent(s)/guardian(s)/legally authorized representatives (LAR) may either speak English or Spanish as the consenting process can be conducted bilingually.
Adults aged 18 and older must be able to provide written informed consent; for youth younger than age 18, parent(s)/guardian(s)/LAR must provide written informed consent, and the youth must provide written informed assent.
Ability to complete clinical evaluations and neuropsychological testing.
Belong to one of the following groups:
Exclusion Criteria:
Exclusion for Healthy Controls
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Participants will be males or females between ages 10 and 24 who have provided informed consent.
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| Name | Affiliation | Role |
|---|---|---|
| Madhukar H. Trivedi, MD | UT Southwestern | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| UT Southwestern Medical Center | Dallas | Texas | 75390 | United States |
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| ID | Term |
|---|---|
| D003863 | Depression |
| D019964 | Mood Disorders |
| D001008 | Anxiety Disorders |
| D000092862 | Psychological Well-Being |
| ID | Term |
|---|---|
| D001526 | Behavioral Symptoms |
| D001519 | Behavior |
| D001523 | Mental Disorders |
| D010549 | Personal Satisfaction |
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Plasma, Urine, Saliva, Stool
| 10 Years |
| Biomarkers (Proteomic Methods) | Comparison of longitudinal changes in fluid-based biomarkers as measured by proteomic methods in participants without a mood disorder. | 10 Years |
| Biomarkers (Metabolomics Methods) | Comparison of longitudinal changes in fluid-based biomarkers as measured by metabolomics methods in participants without a mood disorder. | 10 Years |
| Biomarkers (Transcriptomic Methods) | Comparison of longitudinal changes in fluid-based biomarkers as measured by transcriptomic methods in participants without a mood disorder. | 10 Years |
| Biomarkers (Genomic Methods) | Comparison of longitudinal changes in fluid-based biomarkers as measured by genomic methods in participants without a mood disorder. | 10 Years |
| Biomarkers (Epigenomic Methods) | Comparison of longitudinal changes in fluid-based biomarkers as measured by epigenomic methods in participants without a mood disorder. | 10 Years |