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| ID | Type | Description | Link |
|---|---|---|---|
| 11-M-0251 |
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Despite the clear importance of adolescence in the emergence of a number of disease states and processes, there is surprisingly little known about how the endocrine and metabolic events accompanying puberty in humans impact normal developmental neurobiology. Epidemiologic studies have identified sexual dimorphisms in the prevalence of several neuropsychiatric disorders, including depression, schizophrenia, and substance abuse. Many of these sex differences emerge during or shortly after puberty and are maintained until the 5th-6th decade of life. For example, the two-fold greater risk of unipolar depression in women compared with men does not appear until adolescence, and prior to puberty girls are not at increased risk relative to boys. Puberty is a structured, transitional process that can be influenced by both nutritional factors and environmental stressors; nonetheless, the variability in the timing and duration of puberty is largely determined by oligogenic inheritance. Basic neuroscience research has demonstrated that hormonal events accompanying puberty impact on many of the physiologic systems involved in the regulation of brain function (e.g., the appearance of new neurons in a brain-region specific pattern, neuronal remodeling, and the pruning of cortical connectivity). Additionally, not only does stress during puberty increase the risk of disturbances in affective adaptation during adulthood, but the events accompanying puberty modify stress responsivity (e.g., alterations in the duration and peak response of hypothalamic-pituitary-adrenal [HPA] axis hormones to stressors). Moreover, animal work has demonstrated that neural connectivity differs in a brain regional specific manner according to the stage of puberty (i.e., early versus late). In humans, puberty also occurs in stages, and although the endocrinology of puberty, surprisingly, has not been fully characterized with longitudinal data, studies have documented that the physical changes measured by Tanner stages I to V are accompanied by progressive increases in the secretions of both gonadal and adrenal steroids. Nonetheless, there remains considerable variability in the timing and duration of this otherwise highly structured reproductive transition.
We propose to perform a longitudinal, naturalistic study examining changes in brain structure and function, behavior, and stress responsivity in boys and girls across the pubertal transition. Because the pubertal transition is defined by a complex series of physiologic events that emerge sequentially over several years and involve changes in multiple endocrine and growth systems, and because there is also considerable variability in the timing of these events reflecting the influence of both genetic and environmental factors, puberty cannot by delineated by age of the participants as has been done in most imaging and other neurobiological studies of adolescence. The present study will formally bridge this gap by defining pubertal events per se in participants.
Participants will include healthy boys and girls whose pubertal status will be assessed, and in whom endocrine, metabolic, and brain imaging measures will be evaluated at eight - ten month intervals from age eight years (pre-puberty) until age 17 years (post-puberty). Reproductive endocrine, metabolic, and physical measures will be employed to characterize the stage and duration of pubertal development. Outcome measures will be derived via multimodal neuroimaging techniques, cognitive/behavioral assessments, metabolic measurements, and evaluations of HPA axis function. Additionally, the impact of genetic variation on the developmental trajectory of these parameters (both reproductive and CNS) will be determined.
This cross-institute proposal will employ a multidisciplinary approach to evaluating the effects on CNS function of the process of puberty in both boys and girls. This work will not only serve to inform research on the mechanisms by which sexual dimorphisms in neuropsychiatric disorders develop, it will also have important implications for the prevention and treatment of these disorders.
Despite the clear importance of adolescence in the emergence of a number of disease states and processes, there is surprisingly little known about how the endocrine and metabolic events accompanying puberty in humans impact normal developmental neurobiology. Epidemiologic studies have identified sexual dimorphisms in the prevalence of several neuropsychiatric disorders, including depression, schizophrenia, and substance abuse. Many of these sex differences emerge during or shortly after puberty and are maintained until the 5th-6th decade of life. For example, the two-fold greater risk of unipolar depression in women compared with men does not appear until adolescence, and prior to puberty girls are not at increased risk relative to boys. Puberty is a structured, transitional process that can be influenced by both nutritional factors and environmental stressors; nonetheless, the variability in the timing and duration of puberty is largely determined by oligogenic inheritance. Basic neuroscience research has demonstrated that hormonal events accompanying puberty impact on many of the physiologic systems involved in the regulation of brain function (e.g., the appearance of new neurons in a brain-region specific pattern, neuronal remodeling, and the pruning of cortical connectivity). Additionally, not only does stress during puberty increase the risk of disturbances in affective adaptation during adulthood, but the events accompanying puberty modify stress responsivity (e.g., alterations in the duration and peak response of hypothalamic-pituitary-adrenal [HPA] axis hormones to stressors). Moreover, animal work has demonstrated that neural connectivity differs in a brain regional specific manner according to the stage of puberty (i.e., early versus late). In humans, puberty also occurs in stages, and although the endocrinology of puberty, surprisingly, has not been fully characterized with longitudinal data, studies have documented that the physical changes measured by Tanner stages I to V are accompanied by progressive increases in the secretions of both gonadal and adrenal steroids. Nonetheless, there remains considerable variability in the timing and duration of this otherwise highly structured reproductive transition.
We propose to perform a longitudinal, naturalistic study examining changes in brain structure and function, behavior, and stress responsivity in boys and girls across the pubertal transition. Because the pubertal transition is defined by a complex series of physiologic events that emerge sequentially over several years and involve changes in multiple endocrine and growth systems, and because there is also considerable variability in the timing of these events reflecting the influence of both genetic and environmental factors, puberty cannot by delineated by age of the participants as has been done in most imaging and other neurobiological studies of adolescence. The present study will formally bridge this gap by defining pubertal events per se in participants.
Participants will include healthy boys and girls whose pubertal status will be assessed, and in whom endocrine, metabolic, and brain imaging measures will be evaluated at eight - ten month intervals from age eight years (pre-puberty) until age 17 years (post-puberty). We will screen children in the clinic at age seven however will delay their first regular study visit until they are eight years old. Reproductive endocrine, metabolic, and physical measures will be employed to characterize the stage and duration of pubertal development. Outcome measures will be derived via multimodal neuroimaging techniques, cognitive/behavioral assessments, metabolic measurements, and evaluations of HPA axis function. Additionally, the impact of genetic variation on the developmental trajectory of these parameters (both reproductive and CNS) will be determined. These child participants will be offered the opportunity to return as adults. The data obtained from this unique sample will serve as an important self-as-own comparison of "adult" neuroimaging data in comparison to those data obtained across the pubertal transition (i.e., during adolescence). This will serve to extend the longitudinal data to include an adult end point.
This cross-institute proposal will employ a multidisciplinary approach to evaluating the effects on CNS function of the process of puberty in both boys and girls. This work will not only serve to inform research on the mechanisms by which sexual dimorphisms in neuropsychiatric disorders develop, it will also have important implications for the prevention and treatment of these disorders.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| children age 8-17 years admitted to pilot brain imaging studies | children age 8-17 years admitted to pilot brain imaging studies | ||
| healthy adults | healthy adults ages 25 - 35 years at the time of enrollment | ||
| typically developing children (with evidence of advanced bone age | typically developing children (with evidence of advanced bone age relative to chronologic age); age 8 or ages 12-13 | ||
| typically developing children ages 12/13 17 years | typically developing children ages 12 or 13 - 17 years | ||
| typically developing children ages 8 17 years | typically developing children ages 8 - 17 years |
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| Measure | Description | Time Frame |
|---|---|---|
| fMRI BOLD signal | fMRI BOLD signal | ongoing |
| Measure | Description | Time Frame |
|---|---|---|
| structural MRI findings, DTI, UFC, | structural MRI findings, DTI, UFC | ongoing |
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Child volunteers will qualify for inclusion if they meet the following criteria:
EXCLUSION CRITERIA - SAMPLE 1:
Child volunteers will be excluded for the following reasons:
INCLUSION CRITERIA - SAMPLE 2:
Child volunteers will qualify for inclusion if they meet the following criteria:
EXCLUSION CRITERIA - SAMPLE 2:
Child volunteers will be excluded for the following reasons:
INCLUSION/EXCLUSION CRITERIA - SAMPLE 3:
Inclusion and exclusion criteria for sample 3 will be identical as those for sample 2 with the exception that children between the ages of 8 and 17 will be included.
INCLUSION/EXCLUSION CRITERIA - SAMPLE 4:
Sample 4 participants will also be volunteering in Protocol #95-M-0150 "Neurobiological Investigation of Patients with Schizophrenia Spectrum Disorders and Their Siblings," and/or Protocol #81-M-0126, "The Evaluation of Women with Menstrually-Regulated Mood and Behavioral Disorders," in which they will also have signed consent and through which they will have been screened.
INCLUSION CRITERIA - SAMPLE 4:
EXCLUSION CRITERIA - SAMPLE 4:
INCLUSION/EXCLUSION CRITERIA - SAMPLE 5:
Inclusion and exclusion criteria for sample 5 will be identical as those for samples 1 and 2 (i.e., children will either be age 8-9 or between the ages of 12 and 13) with the exception that children with a tempo of growth that is considered abnormal as demonstrated by skeletal age greater than two standard deviations in advance of their chronologic age according to the Greulich and Pyle Radiographic Atlas will be included. These children will be matched for age, Tanner stage, race, ethnicity, and BMI with children currently enrolled in the longitudinal study.
SAMPLE 6
Participants will have participated in this protocol as children in either Sample 1 or sample 2.
INCLUSION CRITERIA:
EXCLUSION CRITERIA:
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Total requested accrual Total expected accrual for all groups: 370 This total is comprised of the following groups: 280 typically developing children ages 8 17 years, boys (n = 140); girls (n = 140) 20 typically developing children (with evidence of advanced bone age relative to chronologic age); age 8 or ages 12-13 50 healthy adults ages 25 35 years at the time of enrollment, men (n = 25); women (n = 25) 20 children age 8-17 years admitted to pilot brain imaging studies
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Peter J Schmidt, M.D. | Contact | (301) 496-6120 | peterschmidt@mail.nih.gov |
| Name | Affiliation | Role |
|---|---|---|
| Peter J Schmidt, M.D. | National Institute of Mental Health (NIMH) | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| National Institutes of Health Clinical Center | Recruiting | Bethesda | Maryland | 20892 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 36648999 | Derived | Ogunleye OA, Raviprakash H, Simmons AM, Bovell RTM, Martinez PE, Yanovski JA, Berman KF, Schmidt PJ, Jones EC, Bagheri H, Biassou NM, Hsu LY. A Combined Region- and Pixel-Based Deep Learning Approach for Quantifying Abdominal Adipose Tissue in Adolescents Using Dixon Magnetic Resonance Imaging. Tomography. 2023 Jan 15;9(1):139-149. doi: 10.3390/tomography9010012. | |
| 33771694 |
| Label | URL |
|---|---|
| NIH Clinical Center Detailed Web Page | View source |
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| Cole KM, Wei SM, Martinez PE, Nguyen TV, Gregory MD, Kippenhan JS, Kohn PD, Soldin SJ, Nieman LK, Yanovski JA, Schmidt PJ, Berman KF. The NIMH Intramural Longitudinal Study of the Endocrine and Neurobiological Events Accompanying Puberty: Protocol and rationale for methods and measures. Neuroimage. 2021 Jul 1;234:117970. doi: 10.1016/j.neuroimage.2021.117970. Epub 2021 Mar 24. |
| 33667672 | Derived | Chen G, Nash TA, Cole KM, Kohn PD, Wei SM, Gregory MD, Eisenberg DP, Cox RW, Berman KF, Shane Kippenhan J. Beyond linearity in neuroimaging: Capturing nonlinear relationships with application to longitudinal studies. Neuroimage. 2021 Jun;233:117891. doi: 10.1016/j.neuroimage.2021.117891. Epub 2021 Mar 3. |