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| ID | Type | Description | Link |
|---|---|---|---|
| 12-CH-0165 |
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Background:
- The amount of blood flowing in brain areas goes up when those areas are being used for activities, such as movement or seeing. Functional magnetic resonance imaging (fMRI) is a common way of measuring blood flow in the brain. Near infrared spectroscopy (NIRS) can also be used to study blood flow in the brain. However, NIRS has not been used as often as fMRI. Researchers want to compare fMRI and NIRS to see whether they give similar results. These studies will be used to look at people who have had a traumatic brain injury.
Objectives:
- To test how well NIRS measure changes in blood flow in the brain after a traumatic brain injury.
Eligibility:
Design:
The goal of this study is to be able to assess frontal lobe function in a rapid, objective, and standardized way, without the need for expertise in cognitive test administration. Such methods would be particularly helpful in mild traumatic brain injury, where objective measures are needed, and would greatly expand the capacity to make such assessments in standard clinical practice.
Our goal is to recruit 100 subjects total in two groups of age, gender, and education matched subjects, as follows: TBI (n = 50) and non-TBI (n = 50).
The subject will be asked to perform 2 computer-based cognitive tests while the fNIRS device is in place. The fNIRS sensor pads will record changes in blood oxy/deoxy hemoglobin concentrations in the underlying cortex. Data will be stored for post processing analysis.
The main outcome measures will be: 1) a correlation of the fNIRS results between the TBI and non-TBI groups; 2) a correlation of the fNIRS results with the severity of the TBI within the TBI group. Finally, we plan to compare individual measurement from TBI patients with the healthy group.
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| Measure | Description | Time Frame |
|---|---|---|
| The main outcome measures will be to identify if the brain flow hemodynamic between the healthy and the TBI group is affected by trauma. |
| Measure | Description | Time Frame |
|---|---|---|
| The secondary outcome of the two parametric paradigms will investigate if the degree of disruption correlates with measures of the severity of injury (GC scale). Finally, we will compare individual measurement form TBI patient with the health... |
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Healthy population
- Age 18 to 60, inclusive.
Traumatic brain injuries population
EXCLUSION CRITERIA:
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| Name | Affiliation | Role |
|---|---|---|
| Amir Gandjbakhche, Ph.D. | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) | Principal Investigator |
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 18025957 | Background | Hanna-Pladdy B. Dysexecutive syndromes in neurologic disease. J Neurol Phys Ther. 2007 Sep;31(3):119-27. doi: 10.1097/NPT.0b013e31814a63c2. | |
| 18635021 | Background | Maas AI, Stocchetti N, Bullock R. Moderate and severe traumatic brain injury in adults. Lancet Neurol. 2008 Aug;7(8):728-41. doi: 10.1016/S1474-4422(08)70164-9. |
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| ID | Term |
|---|---|
| D003072 | Cognition Disorders |
| D000070642 | Brain Injuries, Traumatic |
| ID | Term |
|---|---|
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |
| D001930 | Brain Injuries |
| D001927 | Brain Diseases |
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| 19047359 | Background | Strangman GE, Goldstein R, O'Neil-Pirozzi TM, Kelkar K, Supelana C, Burke D, Katz DI, Rauch SL, Savage CR, Glenn MB. Neurophysiological alterations during strategy-based verbal learning in traumatic brain injury. Neurorehabil Neural Repair. 2009 Mar-Apr;23(3):226-36. doi: 10.1177/1545968308324225. Epub 2008 Dec 1. |
| D002493 |
| Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
| D006259 | Craniocerebral Trauma |
| D020196 | Trauma, Nervous System |
| D014947 | Wounds and Injuries |