Howard C. Hughes - US grants

Affiliations:

Dartmouth College, Hanover, NH, United States

Area:

Sensory processes, Eye movements, Sensorimotor coordination

Website:

http://www.dartmouth.edu/~psych/people/faculty/hughes.html

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High-probability grants

According to our matching algorithm, Howard C. Hughes is the likely recipient of the following grants.

Years	Recipients	Code	Title / Keywords	Matching score
1999 — 2002	Hughes, Howard C	P50Activity Code Description: To support any part of the full range of research and development from very basic to clinical; may involve ancillary supportive activities such as protracted patient care necessary to the primary research or R&D effort. The spectrum of activities comprises a multidisciplinary attack on a specific disease entity or biomedical problem area. These grants differ from program project grants in that they are usually developed in response to an announcement of the programmatic needs of an Institute or Division and subsequently receive continuous attention from its staff. Centers may also serve as regional or national resources for special research purposes.	Electrophysiology Studies of Multisensory Information Processing @ Dartmouth College The overall aim of this project is to localize and track the flow of information through those areas of human neocortex that respond to specific sensory inputs. To do so, we will undertake mapping and field analysis of intracranially recorded ERP (Even Related Potential) and ERD (Event Related Desynchronization) data in a population of patients with electrodes implanted for pre-surgical diagnosis of medically intractable epilepsy. Up to 128 channels of EEG will be recorded simultaneously from subdural and depth electrodes, which will enable characterization of the spatio-temporal patterns of cortical activation in a variety of perceptual and cognitive tasks. These patients routinely have high- resolution anatomical imaging via MRI and the location of the electrodes relative to individual cortical anatomy is very well-documented. We will take maximum advantages of each recording opportunity by employing state-of-the-art stimulation and response extraction techniques to minimize the number of experimental runs and trials necessary to achieve high quality ERP-ERD data, and will also employ quantitative source estimation techniques to analyze the intracranial field data that we will be acquiring. In many cases, we will also be ale to correlate our ERP/ERD results with the results of routinely performed stimulation mapping (electrical stimulation through the same electrodes). Finally, we will further constrain and verify our EEG-based mapping studies by performing the same single-trail and continuous performance experiments to map both EEG and fMRI activation in the same patients. We expect that our studies will impact both basic neuroscience and clinical applications by advancing our understanding the functional organization human neocortex and improving pre-surgical mapping of cortical function prior to surgical resections. Show summary Hide summary	1