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High-probability grants
According to our matching algorithm, Alexandre Carter is the likely recipient of the following grants.
Years |
Recipients |
Code |
Title / Keywords |
Matching score |
1994 — 1998 |
Carter, Alexandre R |
F31Activity Code Description: To provide predoctoral individuals with supervised research training in specified health and health-related areas leading toward the research degree (e.g., Ph.D.). |
Minority Predoctoral Fellowship Program--Nigms @ Harvard University (Medical School) |
0.958 |
2009 — 2013 |
Carter, Alexandre R |
K08Activity Code Description: To provide the opportunity for promising medical scientists with demonstrated aptitude to develop into independent investigators, or for faculty members to pursue research aspects of categorical areas applicable to the awarding unit, and aid in filling the academic faculty gap in these shortage areas within health profession's institutions of the country. |
Resting State Functional Connectivity and Interhemispheric Interactions in Healt*
DESCRIPTION (provided by applicant): Project Summary: The candidate is an MD/PhD with an excellent background in the molecular and cellular mechanisms of neuronal plasticity whose short-term goal is to make the transition to functional brain imaging and systems neuroscience. The candidate is also a trained clinical neurologist and his long-term career goal is to investigate the human brain's endogenous mechanisms for recovery and self-repair after stroke. The research project is driven by the realization that the dominant localizationist perspective cannot provide the answers we seek to understand brain function. Studying interhemispheric interactions is an important step toward understanding distributed brain networks. Using the novel technique of resting state functional connectivity MRI and traditional fMRI approaches will be an important step in this direction. In particular we hypothesize that resting state functional connectivity MRI can be used as an index ofthe amount of information processing taking place between the hemispheres and predicts behavioral performance. We will test this hypothesis by 1) determining resting connectivity across motor cortex in chronic stroke patients and in professional pianists compared to healthy controls and correlating connectivity with measures of hand dexterity. 2) Resting connectivity across motor cortex representing body parts of capable of different levels of unilateral movement will be studied. 3) BOLD fMRI signals generated in preparation for a unilateral hand movement will be used to study the importance of the ipsilateral BOLD signal for movement preparation and execution. Dr. Carter's career development plan will be mentored by Dr. Maurizio Corbetta, a leader in clinical neurorehabilitation and functional imaging. Consultants chosen for their expertise in functional imaging, motor control systems and computational neuroscience will provide additional guidance. Supervised research activities will be combined with didactic coursework tailored to meet Dr. Carter's needs and provide an intensive training experience. The project will be carried out at Washington University in Saint Louis, a premier site for brain imaging research.
|
0.914 |
2018 — 2019 |
Carter, Alexandre R Leuthardt, Eric Claude [⬀] |
R21Activity Code Description: To encourage the development of new research activities in categorical program areas. (Support generally is restricted in level of support and in time.) |
The Neural Mechanisms of a Contralesionally-Driven Brain Computer Interface For Motor Rehabilitation of Chronic Stroke
ABSTRACT In rehabilitating chronic motor-impaired stroke survivors with a brain computer interface (BCI), there is currently a fundamental limitation in tailoring the neuroprosthetic strategy to the patient specific pathology. The current barrier for further advancement of BCI-driven neurorehabilitation is that the mechanisms behind BCI-based approaches to motor recovery are not well understood, thus hindering the design of effective and individualized rehabilitative methods [1-4]. The long-term goal of this research is to reliably restore function to patients with a chronic stroke-induced motor deficit by aligning their BCI rehabilitative strategy with their specific stroke- induced pathophysiology. Thus, the mechanism in which BCIs alter the brain is of substantial scientific and clinical importance. The objective of this proposal is to define the changes in the brain of chronic subcortical hemiparetic stroke patients that occur with BCI-driven rehabilitation that uses contralesional motor signals. Our central hypothesis is that ongoing use of a BCI-controlled robotic hand exoskeleton, driven by contralesional motor signals produced during motor imagery of the affected hand, will induce functional remodeling that will correlate with motor recovery. The rationale for this work is that the knowledge will create a mechanism-driven approach to neuroprosthetic solutions for stroke in the future. Guided by strong evidence that a BCI using the unaffected hemisphere can improve motor function in chronic stroke patients [5], we will test the central hypothesis with the following three specific aims: 1) Define corticospinal tract (CST) remodeling associated with the functional improvement induced by BCI-driven rehabilitation using motor signals from the unaffected hemisphere in chronic hemiparetic stroke patients., 2) Delineate the remapping of task-based activations that occurs with contralesionally-driven, BCI-mediated functional recovery in chronic hemiparetic stroke patients, and 3) Define the alteration in motor network connectivity associated with the functional improvement that is induced by contralesionally-driven, BCI-rehabilitation in chronic hemiparetic stroke patients. Under the first aim, we will use diffusion tensor imaging (DTI) to evaluate the alterations in fractional anisotropy (FA) that occur within the CST before and after BCI therapy using contralesional motor signals. In the second aim, we will evaluate the changes in topographical cortical activations that occur through BCI therapy. Under the third aim, we will evaluate the alterations in hemispheric network interactions by using fMRI to define changes in resting state functional connectivity. This project is innovative because it is a substantial departure from the status quo by expanding the role the unaffected hemisphere and bihemispheric interactions can play in BCI-mediated rehabilitation. The proposed research will be significant because the knowledge will vastly improve the characterization of how a BCI can alter both anatomy and function in a chronic stroke patient's brain and subsequently how these changes can be targeted for a tailored neuroprosthetic intervention. Ultimately, this will inform the development of novel treatments for stroke patients.
|
0.914 |