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| ID | Type | Description | Link |
|---|---|---|---|
| 07-M-0021 |
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This study is intended to help develop new MRI imaging techniques for studying mood and anxiety disorders. Researchers believe that depression and anxiety disorders may cause structural and functional changes in the brain. This study will optimize the way MRI scans are collected to look at brain structure and examine how the brain behaves while subjects perform particular tasks. Healthy volunteers and individuals with major depressive disorder may be eligible for this study.
Participants undergo magnetic resonance imaging (MRI) and neuropsychological testing. : Individuals will be asked to participate in an MRI study on one of several scanners. The scanner used will measure blood flow in the brain, concentrations of certain chemicals in the brain, or magnetic properties of the brain. The scan may involve They watching a screen presenting images or doing a task in which they respond to pictures or sounds. Participants may be asked to return for additional scans.
The study also involves neuropsychological tests, which assess cognitive performance. Often, people with mood disorders have subtle changes in performance on these tests that allow researchers to pinpoint where brain abnormalities occur. Before the tests can be used in patients, they must be validated by using healthy subjects. These tests are presented either orally, in written form, or on a computer.
Objective
A major component of understanding the pathogenesis of mood and anxiety disorders is expected to involve elucidation of abnormalities in brain structure and function associated with these conditions. Historically post-mortem histopathological and neurochemical assessments constituted the primary methods for investigating abnormalities of brain structure and function in psychiatric disorders. However, the significance of the results from such studies has been limited by the relatively poor availability of specimens from subjects with mood and anxiety disorders who had been unmedicated and clinically well-characterized antemortem. By allowing for in vivo human studies, medical imaging technologies provide efficient, accurate, and non-invasive alternatives for characterizing brain structure and function. The recent rapid development of magnetic resonance imaging (MRI) technology, in particular, has provided powerful tools for assessing a wide range of cerebral physiological and morphological characteristics. To optimally exploit the potential of these rapidly evolving MRI scanning and hardware capabilities in investigations of mood and anxiety disorders, new techniques and applications must be developed and tested. The technical development protocol proposed herein will assess new imaging techniques and hardware, and will develop novel cognitive tasks for application in the study of mood and anxiety disorders. The primary objective of this protocol is the development of MRI experiments for characterizing the physiological correlates of mood and anxiety disorders. In addition, the pilot projects encompassed within this protocol involve the optimization of existing MRI pulse sequences, the application of new pulse sequences for structural and functional MR imaging, and the development of new functional MRI (fMRI) tasks that can elucidate neural function within the cognitive-behavioral domains affected in mood and anxiety disorders. This protocol will also allow testing of existing imaging hardware that can increase the spatial resolution, contrast, and sensitivity of MR images. Such hardware includes the use of multi-channel radio frequency (RF) coils and patient monitoring equipment. Development of these techniques and applications will directly enhance the sensitivity and specificity of MRI studies of mood and anxiety disorders.
Study Population
This study will involve 300 healthy volunteers and 90 patients with major depressive disorder.
Design
This technical development protocol will assess new imaging techniques and hardware, and will develop novel cognitive tasks for application in the study of mood and anxiety disorders. Subjects will have the option to participate in one or several procedures conducted under this protocol, including fMRI, Magnetic Resonance Spectroscopy (MRS), Magnetoencephalography (MEG), behavioral tasks, and rating scales.
Outcome Measures
Primary outcome measures on neuropsychological tests will include parameters such as accuracy and reaction time. Secondary outcome measures will include differences in reaction time or accuracy between different testing conditions. Outcome measures from MRI scanning sessions will include signal-to-noise ratio, contrast-to-noise ratio, structural volumes, metabolite concentrations (in the case of MRS), relaxation times (in the case of relaxometry), and BOLD time series (in the case of fMRI).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Healthy Volunteer | Healthy Volunteer/control group |
| |
| Major Depressive Disorder | Individuals with Major Depressive Disorder |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| 7T Magnetic Resonance Imaging scanner | Device | Non-significant risk device used for brain imaging |
|
| Measure | Description | Time Frame |
|---|---|---|
| BOLD time series | Magnetic Resonance Imaging data | Varies based on experiment |
| Structural volumes | Magnetic Resonance Imaging data | Varies based on experiment |
| Accuracy | Neuropsychological testing data | Varies based on experiment |
| Contrast-to-noise ratio | Magnetic Resonance Imaging data | Varies based on experiment |
| Signal-to-noise ratio | Magnetic Resonance Imaging data | Varies based on experiment |
| Relaxation times | Reflexometry data | Varies based on experiment |
| Metabolite concentrations | Magnetoencephalography data | Varies based on experiment |
| Reaction time | Neuropsychological testing data | Varies based on experiment |
| Measure | Description | Time Frame |
|---|---|---|
| Reaction time between testing conditions | Neuropsychological testing data | Varies based on experiment |
| Accuracy between testing conditions | Neuropsychological testing data |
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Healthy Controls
Major Depressive Disorder
EXCLUSION CRITERIA:
Healthy Control
Major Depressive Disorder
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Adult healthy volunteers and individuals with major depressive disorder will be recruited from the general population.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Allison C Nugent, Ph.D. | Contact | (301) 451-8863 | moodresearch@mail.nih.gov |
| Name | Affiliation | Role |
|---|---|---|
| Allison C Nugent, Ph.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 |
|---|---|---|---|
| 9126739 | Background | Drevets WC, Price JL, Simpson JR Jr, Todd RD, Reich T, Vannier M, Raichle ME. Subgenual prefrontal cortex abnormalities in mood disorders. Nature. 1997 Apr 24;386(6627):824-7. doi: 10.1038/386824a0. | |
| 9672897 | Background | Drevets WC, Ongur D, Price JL. Neuroimaging abnormalities in the subgenual prefrontal cortex: implications for the pathophysiology of familial mood disorders. Mol Psychiatry. 1998 May;3(3):220-6, 190-1. doi: 10.1038/sj.mp.4000370. |
| Label | URL |
|---|---|
| NIH Clinical Center Detailed Web Page | View source |
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Clinical, demographic, and phenotype participant data collected during the trial, after deidentification.
Sharing my start at any time during data collection, no later 1 year following completion of the study.
Fully de-identified data may be shared on publicly available data repositories. The PI will review additional requests for data not shared in repositories.
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| ID | Term |
|---|---|
| D019964 | Mood Disorders |
| D001008 | Anxiety Disorders |
| ID | Term |
|---|---|
| D001523 | Mental Disorders |
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| Varies based on experiment |
| 11301246 | Background | Drevets WC. Neuroimaging and neuropathological studies of depression: implications for the cognitive-emotional features of mood disorders. Curr Opin Neurobiol. 2001 Apr;11(2):240-9. doi: 10.1016/s0959-4388(00)00203-8. |
| 37997749 | Derived | Lamontagne SJ, Gilbert JR, Zabala PK, Waldman LR, Zarate CA Jr, Ballard ED. Clinical, behavioral, and electrophysiological profiles along a continuum of suicide risk: evidence from an implicit association task. Psychol Med. 2024 May;54(7):1431-1440. doi: 10.1017/S0033291723003331. Epub 2023 Nov 24. |
| 26059603 | Derived | Lally N, An L, Banerjee D, Niciu MJ, Luckenbaugh DA, Richards EM, Roiser JP, Shen J, Zarate CA Jr, Nugent AC. Reliability of 7T (1) H-MRS measured human prefrontal cortex glutamate, glutamine, and glutathione signals using an adapted echo time optimized PRESS sequence: A between- and within-sessions investigation. J Magn Reson Imaging. 2016 Jan;43(1):88-98. doi: 10.1002/jmri.24970. Epub 2015 Jun 7. |