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| ID | Type | Description | Link |
|---|---|---|---|
| 000862-CH |
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Background:
Neurocognitive disorders affect how the brain uses oxygen. They may affect mental development in children. These disorders can be studied with imaging scans that use radiation; however, these methods are not ideal for research on children. Two technologies-functional near-infrared spectroscopy (fNIRS) and diffuse correlation spectroscopy (DCS)-use light to detect changes in brain activity. These methods are safer, and they can be used in a more relaxed setting. In this natural history study, researchers want to find out whether fNIRS and DCS can be a good way to study people with neurocognitive disorders.
Objective:
To find out whether fNIRS and DCS can be useful in measuring brain activity in people with neurocognitive disorders.
Eligibility:
People aged 6 months or older with neurocognitive disorders. These can include Niemann-Pick disease type C1 (NPC1); creatine transporter deficiency (CTD); Smith Lemli Opitz syndrome (SLOS); juvenile neuronal ceroid lipofuscinosis (CLN3 disease); and Pheland-McDermid (PMS) syndrome. Healthy volunteers are also needed.
Design:
Participants will have a physical exam. They will have tests of their memory and thinking.
Participants will sit in a quiet room for the fNIRS and DCS tests. A snug cap (like a cloth swim cap) will be placed on their head. The cap has lights and sensors. Another sensor will be placed on their forehead. Participants will perform tasks on a computer. This testing will take 45 to 60 minutes.
The tests will be repeated within 1 to 4 weeks. Participants will be asked to return for repeat tests 1 year later.
Study Description:
Brain hypometabolism has been observed in neurologic conditions. These data were obtained using modalities that involved radiation exposure and were not easily amenable to being combined with performance of functional tasks. Functional near-infrared spectroscopy (fNIRS) and Diffusion Correlation Spectroscopy (DCS) are noninvasive, easy-to-use, and portable brain imaging technology that enable studies of metabolic parameters and their alterations with task performance in neurotypical and neurocognitively affected individuals. Specifically, it enables the study of brain oxygen utilization which likely correlates with brain metabolism. We are proposing a pilot study of the use of fNIRS and DCS in neurocognitive disorders that have been extensively followed in our groups: Niemann-Pick disease type C1 (NPC1), creatine transporter deficiency (CTD), Smith Lemli Opitz syndrome (SLOS), Juvenile Neuronal Ceroid Lipofuscinosis (CLN3 disease), and Phelan-McDermid (PMS) syndrome. We want to compare findings in these populations to neurotypical healthy controls.
Objectives:
The primary objective of this pilot study is to determine the feasibility of fNIRS-DCS in individuals with neurocognitive-related disorders.
The secondary objectives of this study are:
An exploratory objective is to correlate cerebral oxygen consumption changes from resting state in affected individuals to other measures of disease state (e.g., neuropsychological assessment, disease-specific severity rating scales). Another exploratory objective is to examine test-retest reliability of our fNIRS-DCS measures at rest and during specific tasks in both affected individuals and healthy controls.
Endpoints:
Primary endpoints:
Adverse events, number of individuals who complete study
Secondary endpoints:
Patterns of cerebral oxygen consumption and blood flow in neurocognitive disorders compared to healthy controls.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 1 | individuals without known health or medical issues (i.e. healthy volunteers) | ||
| 2 | individuals with known neurocognitive disorders (i.e. affected) |
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| Measure | Description | Time Frame |
|---|---|---|
| Proportion of individuals who complete the study relative to those in which data collection was attempted | We hypothesize that fNIRS and DCS will show low rates of adverse events across all participants (<5%) and high rates of completed fNIRS-DCS data collections (> 75%). | 2 years |
| Adverse events | We hypothesize that fNIRS and DCS will show low rates of adverse events across all participants (<5%) and high rates of completed fNIRS-DCS data collections (> 75%). | 2 years |
| Measure | Description | Time Frame |
|---|---|---|
| Cerebral activation, measured via O2 changes, in resting and in active state | We hypothesize that fNIRS and DCS will show cerebral oxygen consumption differences between neurocognitive disorders and age-matched typically developing controls. | 2 years |
| Cerebral blood flow in resting and active state |
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INCLUSION CRITERIA:
For both study populations (Affected and Typically Developing group):
For study population (Affected group):
--Neurocognitive-related conditions including SLOS, CLN3, CTD, NPC and PMS.
For controls (Typically Developing Group):
EXCLUSION CRITERIA:
For both study populations (Affected and Typically Developing group):
For controls (Typically Developing Group):
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individuals 6 months and older without known health or medical issues (i.e. healthy volunteers), and individuals with known neurocognitive disorders (i.e. affected). Healthy volunteers will be age- and sex-matched to the affected cohort
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| Name | Affiliation | Role |
|---|---|---|
| Forbes D Porter, M.D. | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| National Institutes of Health Clinical Center | Bethesda | Maryland | 20892 | United States |
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| Label | URL |
|---|---|
| NIH Clinical Center Detailed Web Page | View source |
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We hypothesize that fNIRS and DCS will show cerebral oxygen consumption differences between neurocognitive disorders and age-matched typically developing controls. |
| 2 years |
| ID | Term |
|---|---|
| D009472 | Neuronal Ceroid-Lipofuscinoses |
| D019082 | Smith-Lemli-Opitz Syndrome |
| C535598 | Creatine deficiency, X-linked |
| D052536 | Niemann-Pick Disease, Type A |
| D019965 | Neurocognitive Disorders |
| ID | Term |
|---|---|
| D020271 | Heredodegenerative Disorders, Nervous System |
| D019636 | Neurodegenerative Diseases |
| D009422 | Nervous System Diseases |
| D030342 | Genetic Diseases, Inborn |
| D009358 | Congenital, Hereditary, and Neonatal Diseases and Abnormalities |
| D008064 | Lipidoses |
| D008052 | Lipid Metabolism, Inborn Errors |
| D008661 | Metabolism, Inborn Errors |
| D052439 | Lipid Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D000015 | Abnormalities, Multiple |
| D000013 | Congenital Abnormalities |
| D043202 | Steroid Metabolism, Inborn Errors |
| D050171 | Dyslipidemias |
| D009542 | Niemann-Pick Diseases |
| D013106 | Sphingolipidoses |
| D020140 | Lysosomal Storage Diseases, Nervous System |
| D020739 | Brain Diseases, Metabolic, Inborn |
| D001928 | Brain Diseases, Metabolic |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D015616 | Histiocytosis, Non-Langerhans-Cell |
| D015614 | Histiocytosis |
| D008206 | Lymphatic Diseases |
| D006425 | Hemic and Lymphatic Diseases |
| D016464 | Lysosomal Storage Diseases |
| D001523 | Mental Disorders |
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