Area:
Computational Neuroscience, Neuroengineering
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High-probability grants
According to our matching algorithm, Wilson Truccolo is the likely recipient of the following grants.
Years |
Recipients |
Code |
Title / Keywords |
Matching score |
2007 — 2011 |
Truccolo, Wilson |
K01Activity Code Description: For support of a scientist, committed to research, in need of both advanced research training and additional experience. |
Sensorimotor Computations in M1 &5d During Online Control of Reaching Movement
DESCRIPTION (provided by applicant): This career development proposal aims at providing the investigator, Dr. Truccolo, with the required experimental expertise for an independent research career in sensorimotor neurophysiology. Dr. Truccolo's goal is to integrate his background in statistical and computational modeling with active experimental work in neurophysiology to investigate the function of interacting cortical networks. The training program is designed to further the understanding of the role of fronto-parietal sensorimotor loops in the online control of voluntary movements. Specifically, the proposed research will test several experimental predictions of a computational model whose hypotheses are: 1) that primary motor cortex (M1) corrects for visual and mechanical perturbations of reaching movements, based on a motor error computed in parietal cortex (5d);and 2) that when visual feedback about the arm is unavailable, 5d uses a forward model prediction of the hand position, derived from proprioceptive feedback and motor commands received from M1, in order to compute the motor error. Unique intracortical recording technology using two 10X10 electrode-arrays will record the activities of cell ensembles and local field potentials (LFPs) in M1 and 5d as monkeys correct for transient visual and mechanical perturbations of reaching movements. A 2-link robot arm will be employed to deliver mechanical perturbations. Statistical methods recently developed by the investigator will be used to test for the existence of predicted sensory, motor and error signals as well as for predicted interactions between M1 and 5d during corrective movements. The training program will be conducted under the mentorship of Dr. Donoghue in the Department of Neuroscience at Brown University. The mentor and the environment are ideally suited: Brown is a well-known center for neuro-technology and systems neuroscience, and Dr. Donoghue is a leading expert in sensorimotor systems, multielectrode neurophysiology, and neural prostheses. In addition to training in experimental neurophysiology, activities will include training in translational neuroscience involving an ongoing clinical trial of cortical neuroprosthetic devices. The proposed program will form the basis for a research career whose long term goals include: 1) shedding new light on the mechanisms underlying movement disorders arising from pathologies of fronto-parietal networks, and 2) the design of cortical neuroprosthetic devices that incorporate sensory feedback in the online closed-loop control of robotic limbs.
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1 |
2012 — 2021 |
Truccolo, Wilson |
R01Activity Code Description: To support a discrete, specified, circumscribed project to be performed by the named investigator(s) in an area representing his or her specific interest and competencies. |
Multi-Scale Cortical Dynamics in Human Epilepsy
ABSTRACT Epilepsy is one of the most common neurological disorders affecting ~65 million people worldwide. Of those, 25-35% are not responsive to pharmacological treatment, despite the development of new antiepileptic drugs in the previous decades. One of the main barriers hindering the development of better therapies for epileptic seizures, such as closed-loop neuromodulation for seizure prevention and abatement, is the lack of understanding of how seizures initiate, spread and terminate over cortical and subcortical regions. Progress thus far has been hampered by the challenge of measuring in humans neural activity at the multiple scales of ensembles of single neurons and large-scale brain networks. In addition, most previous studies have focused on biophysical mechanisms for seizure initiation at seizure onset zones. An overlooked aspect of focal seizures is the formation/maintenance of local and large-scale pathological neuronal networks and the time-varying susceptibility of brain dynamics to seizure initiation and spread (generalization). We hypothesize that these pathological multiscale networks are maintained via the recurring activation of epileptiform spatiotemporal patterns not only during seizures but also during interictal and preictal periods. We will address these problems in patients with pharmacologically intractable focal epilepsy by recording ensemble of single-neurons via intracortical 96-microelectrode arrays (96-MEA, 4 mm X 4 mm) and large-scale brain networks via intracranial EEGs (Truccolo et al., 2011, 2014; Wagner et al., 2015). Neural activity at these multiple levels will be recorded continuously 24hr/day, over a period of ~1-2 weeks. Furthermore, we will determine the association between recurrent pathological patterns and changes in the brain's susceptibility to spread of excitation and seizures by actively probing neural dynamics with a recently developed real-time closed-loop intracranial electrical stimulation platform (Sarma et al., 2016). Three specific AIMs will: (1) Test the hypothesis that multiscale ictal patterns recur not only during seizures but also during interictal periods, becoming part of the resting state networks' repertoire; (2) Test the hypothesis that precursor biomarkers of seizure initiation include the reactivation of multiscale ictal network patterns; (3) Test the hypothesis that ictal pattern reactivation during interictal periods is accompanied by increases in the brain's susceptibility to both local and large-scale spread of excitation: probing neural dynamics with closed-loop electrical stimulation.
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1 |