Quantitative Automated Lesion Detection of Traumatic Brain Injury
Completed
Conditions studied: Traumatic Brain Injury
In brief
The investigators propose to develop quantitative automated lesion detection (QALD) procedures to identify brain damage following traumatic brain injury more accurately than is possible with a normal magnetic resonance imaging (MRI) scans. These procedures require about 1 hour of imaging in an MRI scanner. Subjects will also undergo about 2 hours of cognitive tests. The investigators will compare the results of the cognitive tests with those from MRI scanning to determine what brain regions are responsible for superior performance and for performance decrements.
Key facts
- Study ID
- NCT01022307
- Run by
- VA Office of Research and Development
- People needed
- 212
- Starts
- 2009-05-01
- Expected to finish
- 2014-10-01
- Last updated by the study team
- 2016-01-14
Who can join
Age: 18 and older, up to 50. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- Control subjects from 18-50.
- Patients from 18-50 who have suffered TBI.
You may not qualify if…
- Substance abuse.
- Irremedial sensory deficits (blindness, deafness).
- Primary psychiatric disorder.
- Neurological disease unrelated to TBI.
Where it is running
- VA Northern California HCS — Martinez, California, United States
Full record on ClinicalTrials.gov
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