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About
Background:
People with a traumatic brain injury (TBI) can have trouble making the best possible decisions. Researchers want to learn more about the parts of the brain that control decision making. They also want to know how these are different between people. This may help predict how people make decisions after TBI.
Objective:
To learn more about which parts of the brain are involved in making decisions and how decisions may be hurt after TBI.
Eligibility:
Adults age 18 to 60.
Design:
Participants will be screened with medical history and physical exam. They will also take memory, attention, concentration, and thinking tests.
Participants will do up to 2 experiments.
For Experiment 1, participants may have 3 scans:
PET: a chemical is injected through a thin tube into an arm vein. Participants lie on a bed that slides in and out of the scanner.
MRI: a strong magnetic field and radio waves take pictures of the brain. Participants lie on a table that slides in and out of a metal cylinder. It makes loud knocking noises. Participants will get earplugs. They might be asked to do a task. A coil will be placed over the head.
MEG: a cone with magnetic field detectors is lowered onto participants head.
After the scans, participants will perform a decision-making task.
For Experiment 2, participants will perform a decision-making task before and after receiving transcranial direct current stimulation (tDCS).
tDCS: wet electrode sponges are placed over participants' scalp and forehead. A current passes between the electrodes. It stimulating the brain.
Participants will return 24-48 hours later to repeat the decision-making task.
Full description
Study Description:
Deficits in decision-making are commonly found in individuals after traumatic brain injury (TBI) and can have a severe negative impact on quality of life. Converging evidence from both animal model and human studies suggest that decision-making deficits are linked with abnormal mesocorticolimbic network structure and function, and could potentially be mitigated through interventions that improve function within these neuronal circuits.
Objectives:
Endpoints:
Primary Endpoint: The primary outcome measure for both Experiment 1 and 2 is performance in a computerized decision-making task.
Secondary Endpoints: Secondary outcome measures will include quantitative estimates of structural and functional mesocorticolimbic network features, including MRI-based structural and functional connectivity, MEG-based functional connectivity, baseline dlPFC GABA concentration measured with magnetic resonance spectroscopy (MRS) imaging, dopamine D2 receptor binding potential within mesocorticolimbic subcortical nuclei measured with [11C]raclopride PET (Experiment 1). Multimodal data fusion modeling will be used to explore the predictive relationship between baseline mesocorticolimbic network features and decision-making task performance within a unified state-space framework (Experiment 1), as well as the ability of these network features to predict inter-individual differences in the effects of tDCS on decision-making task performance (Experiment 2).
Enrollment
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Inclusion and exclusion criteria
Inclusion Criteria for Healthy Volunteers:
Inclusion Criteria for TBI:
external trauma to the head) physiological disruption of brain function, as manifested by at least one of the following (based on the American Congress of Rehabilitation Medicine Criteria):
EXCLUSION CRITERIA
Primary purpose
Allocation
Interventional model
Masking
45 participants in 2 patient groups
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Central trial contact
Leonardo G Cohen, M.D.; Tasneem F Malik, C.R.N.P.
Data sourced from clinicaltrials.gov
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