Clinical trial NCT00001246: Brain Imaging of Childhood Onset Psychiatric Disorders, Endocrine Disorders and Healthy Volunteers
Official title: Brain Imaging of Childhood Onset Psychiatric Disorders, Endocrine Disorders and Healthy Volunteers
Study type: OBSERVATIONAL
Overall status: RECRUITING
Conditions: Attention Deficit Hyperactivity Disorder
Schizophrenia
Attention Deficit Disorder With Hyperactivity
Keywords: Attention Deficit Hyperactivity Disorder
Twin
Sydenham's Chorea
Genetics
Development
Natural History
Lead sponsor: National Institutes of Health Clinical Center (CC)
Sponsor class: NIH
First posted: 1999-11-04
Enrollment: 6000
Sex: ALL
Minimum age (years): 3
Maximum age (years): 120
Standard ages: CHILD
ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Observational model: COHORT
Time perspective: PROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: Our studies include data from typically developing youth, and individuals with a range of psychiatric presentations from behaviorally-defined (e.g. Childhood-Onset Schizophrenia, Autism Spectrum Disorder) as well as genetically-defined (e.g. Sex Chromosome Aneuploidy) groups. Participants span a wide age range (from 3 years of age upwards).

Brief summary: Magnetic Resonance Imaging (MRI) unlike X-rays and CT-scans does not use radiation to create a picture. MRI use as the name implies, magnetism to create pictures with excellent anatomical resolution. Functional MRIs are diagnostic tests that allow doctors to not only view anatomy, but physiology and function. It is for these reasons that MRIs are excellent methods for studying the brain.

In this study, researchers will use MRI to assess brain anatomy and function in X and Y chromosome variation, healthy volunteers, and patients with a variety of childhood onset psychiatric disorders. The disorders include attention deficit disorder, autism, congenital adrenal hyperplasia, childhood-onset schizophrenia, dyslexia, obsessive compulsive disorder, Sydenham's chorea, and Tourette's syndrome.

Results of the MRIs showing the anatomy of the brain and brain function will be compared across age, sex (gender), and diagnostic groups. Correlations between brain and behavioral measures will be examined for normal and clinical populations.

Detailed description: Study Description:

This natural history protocol will have participants come to the NIH for brain imaging, psychological/psychiatric testing, and genetic characterization. Our core hypotheses are that many of the most severe neuropsychiatric disorders of childhood onset are associated with deviations from the path of normal brain development, the neuroanatomical substrates of which can be detected by magnetic resonance imaging.

Objectives:

Primary Objectives:

The long-term objectives of the protocol are to (1) map the neuroanatomic and neurophysiological trajectories of brain development; and (2) discern the influences, for good or ill, on those trajectories from demographic clinical, genetic, and environmental factors. Approximately half of the participants in our sample are typically developing. Clinical populations in our sample include participants with a variety of brain-based disorders, such as Autism, Attention-Deficit/Hyperactivity Disorder, Childhood Onset Schizophrenia, Dyslexia, Sydenham s Chorea, and Tourette s Syndrome.

Secondary Objectives:

To characterize the relationships among measures of behavior and cognition as well as amongst multimodal measures of brain organization.

Endpoints:

Primary Endpoint:

T1-weighted structural neuroimaging data which enable us to characterize how a range of anatomical brain phenotypes vary as a function of age, sex, behavioral/cognitive traits, diagnostic status and genotype.

Secondary Endpoints:

Data analyses also consider how these factors relate to other outcomes of interest including; gene expression levels, functional metrics from in vivo neuroimaging, and questionnaire/interview-based assessment of clinical features.

Eligibility criteria: * INCLUSION CRITERIA:

In order to be eligible to participate in this study, an individual must meet all of the following criteria:

Inclusion criteria for healthy controls

Participants consenting to participation in the study

-Over 3 years of age with no upper limit for age at time of enrollment.

Inclusion criteria for MRI scanner calibration project:

Participants will meet protocol criteria for adult healthy volunteers.

Inclusion criteria for affected participant populations:

-Male and female participants over 3 years of age with no upper limit for age (with the exception of the Down syndrome group - see below). Currently meet criteria for at least one of the following:

* DSM-IV (or other approved) criteria for one of the following clinical diagnoses: Obsessive Compulsive Disorder, Childhood Onset Schizophrenia, Turner Syndrome, Autism Spectrum Disorder, Asperger Syndrome, High Functioning Autism, Pervasive Development Disorder
* ICD-10 criteria for Congenital Adrenal Hyperplasia, Cushings Syndrome, Kallmann Syndrome, Androgen Insensitivity Syndrome.
* ADHD
* Chromosomal aneuploidies including Down s Syndrome and Sex chromosome aneuploidy as determined by karyotype (including XXX, XXXX, XXXXX, XXY, XXYY, XXXY, XXXXY, XYY, and XO).

Additional Inclusion criteria for Down Syndrome participants:

* Confirmed chromosomal diagnosis of Down syndrome.
* Age at entry into the study is 30 years or under. This upper age limit at study entry is being implemented for the Down syndrome group for several reasons. First, much of the research using magnetic resonance imaging with this population is focused on (older) adult populations and in particular the transition to early onset Alzheimer s disease. Because most (if not all) individuals with Down syndrome demonstrate some brain pathology consistent with Alzheimer s disease by age 30 (e.g., plaques and tangles; Mann \& Esiri, 1989), we would like to enroll participants who are 30 years of age and under. Second, studying children and young adults with Down syndrome fills a significant gap in the literature, as there are very few structural magnetic resonance imaging studies of children and young adults with Down syndrome reported in the literature to date, and the majority of these studies are characterized by small samples of convenience (i.e., clinic populations). Thus, there is still a need to describe the developmental course of this disorder from early childhood to young adulthood. Such developmental research may help shed light on the causes of intellectual disability in Down syndrome and also identify individuals with the syndrome who are most at risk for experiencing the cognitive decline that is reported in the literature for some individuals after the age of 30 (Oliver et al., 1998).

Inclusion criteria for parents and siblings of affected participant populations:

Participants consenting to participation in the study

* Over 3 years of age with no upper limit for age at time of enrollment.
* Parents must have the ability to understand and provide informed consent to the study.

EXCLUSION CRITERIA:

NIMH staff and their immediate family are excluded from participation.

Exclusion criteria for healthy controls:

* Presence of severe psychiatric disorder (as diagnosed prior to participant study enrollment) in the participant. For these purposes, exclusionary severe psychiatric disorder includes schizophrenia and bipolar affective disorder.
* Presence or history of medical conditions known to affect cerebral anatomy.
* Dental braces.
* Contraindications for MRI scanning according to the NMR Center MRI Safety Screening Questionnaire and guidelines.
* For females who have reached menarche: Pregnancy or inability or unwillingness to undergo pregnancy testing.

Exclusion criteria for all affected participant populations, including parents and siblings of the affected participants:

* Dental braces.
* Contraindications for MRI scanning according to the NMR Center MRI Safety Screening Questionnaire and guidelines.
* For females who have reached menarche: Pregnancy or inability or unwillingness to undergo pregnancy testing.
* Evidence of another medical condition or traumatic event known to affect cerebral anatomy.
* A known genetic disorder (other than the condition under investigation) that would be expected to significantly impact findings from cognitive testing and/or neuroimaging.

Primary outcomes:
measure: Volumetric MRI Data
timeFrame: Ongoing
Secondary outcomes:
measure: Cognitive data
timeFrame: Ongoing
Other outcomes:
Locations:
city: Bethesda
country: United States
facility: National Institutes of Health Clinical Center
state: Maryland
Study officials:
affiliation: National Institute of Mental Health (NIMH)
name: Armin Raznahan, M.D.
role: PRINCIPAL_INVESTIGATOR
References:
citation: Csumitta KD, Gotts SJ, Clasen LS, Martin A, Raitano Lee N. Youth with Down syndrome display widespread increased functional connectivity during rest. Sci Rep. 2022 Jun 14;12(1):9836. doi: 10.1038/s41598-022-13437-1.
citation: Lee NR, Niu X, Zhang F, Clasen LS, Kozel BA, Smith ACM, Wallace GL, Raznahan A. Variegation of autism related traits across seven neurogenetic disorders. Transl Psychiatry. 2022 Apr 7;12(1):149. doi: 10.1038/s41398-022-01895-0.
citation: Mankiw C, Whitman ET, Torres E, Lalonde F, Clasen LS, Blumenthal JD, Chakravarty MM, Raznahan A. Sex-specific associations between subcortical morphometry in childhood and adult alcohol consumption: A 17-year follow-up study. Neuroimage Clin. 2021;31:102771. doi: 10.1016/j.nicl.2021.102771. Epub 2021 Jul 26.
citation: Warling A, Yavi M, Clasen LS, Blumenthal JD, Lalonde FM, Raznahan A, Liu S. Sex Chromosome Dosage Effects on White Matter Structure in the Human Brain. Cereb Cortex. 2021 Oct 22;31(12):5339-5353. doi: 10.1093/cercor/bhab162.
citation: Whitman ET, Liu S, Torres E, Warling A, Wilson K, Nadig A, McDermott C, Clasen LS, Blumenthal JD, Lalonde FM, Gotts SJ, Martin A, Raznahan A. Resting-State Functional Connectivity and Psychopathology in Klinefelter Syndrome (47, XXY). Cereb Cortex. 2021 Jul 29;31(9):4180-4190. doi: 10.1093/cercor/bhab077.
citation: Nadig A, Seidlitz J, McDermott CL, Liu S, Bethlehem R, Moore TM, Mallard TT, Clasen LS, Blumenthal JD, Lalonde F, Gur RC, Gur RE, Bullmore ET, Satterthwaite TD, Raznahan A. Morphological integration of the human brain across adolescence and adulthood. Proc Natl Acad Sci U S A. 2021 Apr 6;118(14):e2023860118. doi: 10.1073/pnas.2023860118.
citation: Wilson KE, Fish AM, Mankiw C, Xenophontos A, Warling A, Whitman E, Clasen L, Torres E, Blumenthal J, Raznahan A. Modeling familial predictors of proband outcomes in neurogenetic disorders: initial application in XYY syndrome. J Neurodev Disord. 2021 Mar 22;13(1):12. doi: 10.1186/s11689-021-09360-7.
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citation: Schmitt JE, Raznahan A, Liu S, Neale MC. The Heritability of Cortical Folding: Evidence from the Human Connectome Project. Cereb Cortex. 2021 Jan 1;31(1):702-715. doi: 10.1093/cercor/bhaa254.
citation: Liu S, Seidlitz J, Blumenthal JD, Clasen LS, Raznahan A. Integrative structural, functional, and transcriptomic analyses of sex-biased brain organization in humans. Proc Natl Acad Sci U S A. 2020 Aug 4;117(31):18788-18798. doi: 10.1073/pnas.1919091117. Epub 2020 Jul 20.
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citation: Dworkin JD, Linn KA, Solomon AJ, Satterthwaite TD, Raznahan A, Bakshi R, Shinohara RT. A local group differences test for subject-level multivariate density neuroimaging outcomes. Biostatistics. 2021 Jul 17;22(3):646-661. doi: 10.1093/biostatistics/kxz058.
citation: Xenophontos A, Seidlitz J, Liu S, Clasen LS, Blumenthal JD, Giedd JN, Alexander-Bloch A, Raznahan A. Altered Sex Chromosome Dosage Induces Coordinated Shifts in Cortical Anatomy and Anatomical Covariance. Cereb Cortex. 2020 Apr 14;30(4):2215-2228. doi: 10.1093/cercor/bhz235.
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citation: Nadig A, Reardon PK, Seidlitz J, McDermott CL, Blumenthal JD, Clasen LS, Lalonde F, Lerch JP, Chakravarty MM, Raznahan A. Carriage of Supernumerary Sex Chromosomes Decreases the Volume and Alters the Shape of Limbic Structures. eNeuro. 2018 Nov 29;5(5):ENEURO.0265-18.2018. doi: 10.1523/ENEURO.0265-18.2018. eCollection 2018 Sep-Oct.
citation: McDermott CL, Seidlitz J, Nadig A, Liu S, Clasen LS, Blumenthal JD, Reardon PK, Lalonde F, Greenstein D, Patel R, Chakravarty MM, Lerch JP, Raznahan A. Longitudinally Mapping Childhood Socioeconomic Status Associations with Cortical and Subcortical Morphology. J Neurosci. 2019 Feb 20;39(8):1365-1373. doi: 10.1523/JNEUROSCI.1808-18.2018. Epub 2018 Dec 26.
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