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| ID | Type | Description | Link |
|---|---|---|---|
| 14-N-0069 |
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Background:
- People can learn to use feedback about brain activity to change that activity. Researchers want to see if people who have had a stroke can change their brain activity by practice and thought with feedback, and if that improves motor control. They will study brain activity in people who have and have not had strokes.
Objectives:
- To see if people with stroke can change their brain activity and improve motor control by practice and thought.
Eligibility:
Design:
Objective:
The objective of this study is to understand whether healthy volunteers and patients with chronic stroke resulting in hemiparesis can learn how to modulate their brain activity using feedback during real-time functional magnetic resonance imaging (rtfMRI), and whether such feedback training can lead to improvement in motor rehabilitation in chronic stroke patients.
Study population:
This study will be carried out in two parallel phases. In Phase 1, we will study learning to control brain functional activation (feedback technique using rtfMRI) in adult healthy volunteers; in Phase 2, we will study adult patients with chronic stroke. In both phases, we intend to study whether feedback training with rtfMRI leads to increased control of brain activity and whether this correlates with improvements in motor control in healthy participants and improvement in motor function, in chronic stroke patients, both immediately after training and at later time points. The reason for carrying out this study in parallel is that, as stated recently by Dr Petra Kaufman during a PIRC meeting, patients with brain lesions may benefit from this approach even if healthy volunteers do not.
Design:
Phase 1: We will test if healthy volunteers can learn to modulate their own brain connectivity using feedback of connectivity patterns between two brain regions during an rtfMRI neurofeedback paradigm.
Phase 2: We will test if chronic stroke patients can learn to modulate their brain activity and connectivity similar to the healthy volunteers, and if such learning can improve function.
Outcome measures:
The primary outcome for Phases 1 and 2 is the difference in brain activation and brain connectivity after feedback training compared to baseline. Secondary outcomes for both phases include: 1) changes in brain connectivity during rest, and when no feedback image is displayed (structural and/or functional connectivity), 2) changes in motor behavior after training compared to baseline, both immediately after and following a time delay, and 3) correlations between changes in behavior and changes in brain activity and brain connectivity (as measured in 1 and 2).
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| Measure | Description | Time Frame |
|---|---|---|
| Change in neural functional connectivity as measured by fMRI. | Immediately after intervention; up to 6 months post-intervention |
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Inclusion criteria for healthy volunteers:
Exclusion criteria for healthy volunteers:<TAB>
Inclusion criteria for all patients with hemiparesis after stroke (regardless of doing TMS or not):
Exclusion criteria for patients with hemiparesis after stroke:<TAB>
Given the heterogeneity of our population after stroke, we do not have a strong hypothesis about the effects of any specific medications on the experimental outcomes. Thus, medications are not listed as an exclusion criteria because they do not pose a concern.
Furthermore, to take advantage of the heterogeneity of the lesion location on the experimental outcomes, we will perform a post-hoc stratification by lesion location in this initial study with stroke patients. There is little data to support a specific hypothesis that lesion size/location will contribute to differences in the participant s ability to successfully perform the task (e.g., control his/her neural activity using rtfMRI neurofeedback). The one prior study using rtfMRI with individuals with stroke recruited two participants with internal capsule lesions only. Thus, in this study we will stratify participants by lesion location in posthoc analyses and use this resulting information to inform future protocols for stroke patients using rtfMRI neurofeedback.
Exclusion for TMS portion specifically:
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| Name | Affiliation | Role |
|---|---|---|
| Leonardo G Cohen, M.D. | National Institute of Neurological Disorders and Stroke (NINDS) | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| National Institutes of Health Clinical Center, 9000 Rockville Pike | Bethesda | Maryland | 20892 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 16430974 | Background | Albin RL, Mink JW. Recent advances in Tourette syndrome research. Trends Neurosci. 2006 Mar;29(3):175-82. doi: 10.1016/j.tins.2006.01.001. Epub 2006 Jan 23. | |
| 8957561 | Background | Augustine JR. Circuitry and functional aspects of the insular lobe in primates including humans. Brain Res Brain Res Rev. 1996 Oct;22(3):229-44. doi: 10.1016/s0165-0173(96)00011-2. |
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| ID | Term |
|---|---|
| D020521 | Stroke |
| ID | Term |
|---|---|
| D002561 | Cerebrovascular Disorders |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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| 10923655 | Background | Banzett RB, Mulnier HE, Murphy K, Rosen SD, Wise RJ, Adams L. Breathlessness in humans activates insular cortex. Neuroreport. 2000 Jul 14;11(10):2117-20. doi: 10.1097/00001756-200007140-00012. |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |