HHS Recovery Act Recipient Reporting Readiness Tool
Step 4. Review and Copy the Grant Awards Data
TAGGS provides some – but not all – of the data needed for the Recipient Report. Recipients are responsible for directly collecting and reporting all required data to FederalReporting.gov. Data that HHS does not currently collect are highlighted in yellow. Do not copy this highlighted information. Please enter the appropriate data for your organization in these required fields. For assistance with entering these data please contact FederalReporting.gov.
You may capture the data HHS does provide by copying data from this screen and pasting it into the reporting format of your choice, such as the Excel spreadsheet template, the XML template, or by logging into the online form. For assistance with copying and pasting these data please e-mail our help desk at Readiness Help.
| Recipient Report: Grant or Loan | ||
| Prime Recipient |
| Reporting Information | ||
| Award Type | Award Number | Final Report |
| Grant | 5R21NS060108-02 | Recipient responsible for this data |
| Award Recipient Information | ||
| Recipient DUNS Number | Recipient Account Number | Recipient Congressional District |
| 606602295 | Recipient responsible for this data | 5 |
| Award Information | ||
| Funding Agency Code | Awarding Agency Code | Award Date |
| 7529 | 7529 | 03-31-2010 |
| Amount of Award | Sub Account Number for Program Source (TAS) | |
| $ 206,250 | Recipient responsible for this data | |
| Program Source (TAS)* | CFDA Number | |
| 750901 | 93.701 | |
| Total Number of Sub Awards to Individuals | Total Amount of Sub Awards to Individuals | |
| Recipient responsible for this data | Recipient responsible for this data | |
| Total Number of Payments to Vendors less than $25,000/award | Total Amount of Payments to Vendors less than $25,000/award | |
| Recipient responsible for this data | Recipient responsible for this data | |
| Total Number of Sub Awards less than $25,000/award | Total Amount of Sub Awards less than $25,000/award | |
| Recipient responsible for this data | Recipient responsible for this data | |
| Award Description | ||
| DESCRIPTION (provided by applicant): Epilepsy is one of the most prevalent neurological disorders, affecting 50 million individuals worldwide, a quarter of which have medically intractable cases. The unpredictability of seizure onset can lead to severe bodily injury or even death. Thus a reliable seizure prediction method is greatly needed to protect epileptic patients from life threading incidents. Furthermore, accurate seizure prediction would allow clinicians to provide well-timed drug delivery or therapeutic brain stimulation. This ability to optimally time interventions could substantially reduce the side effects and toxicity of long term medications for medically responsive patients and provide a novel treatment for patients with intractable epilepsy. In light of this need, the American Epilepsy Society has identified seizure predication as a primary priority for epilepsy research. Neuroscientists, clinicians, mathematicians and bioengineers have developed collaborations devoted to this research field. In spite of great progress in seizure prediction research, reliable seizure prediction remains a challenging task. EEG has been employed for the last 3 decades of seizure prediction research, whilst novel alternative research tools are lacking. EEG data reflect the summation of postsynaptic potentials across a large population of cells in diffuse brain areas and thus lack temporal and spatial specificity. In this proposed study, we will for the first time employ a multiple channel, single unit recording technique to record up to 80 single cells in 5 different brain areas that have been shown to be critically involved in temporal lobe epilepsy (TLE) in rat model of TLE. The major benefits of recording single units are that it provides high temporal and spatial resolution and multiple dimensional data, which allow us to detect subtle changes in brain areas before seizure onset. We will apply this information with a battery of single unit and EEG data analytic tools to try to detect the neural activity changes that portend seizure onset. In this initial study, we will analyze the data off-line to establish a reliable seizure prediction algorithm. Once this algorithm has been established, we will apply real time, prospective seizure perdiction methods to detect seizures in real time and we will combine this prediction tool with deep brain stimulation to prevent seizure development and progression. The long term goal of this research is to translate animal experimental results to the clinic to treat epilepsy patients with this novel approach. PUBLIC HEALTH RELEVANCE: Accurate seizure prediction can prevent bodily injury for epileptic patient and enable clinicians to treat epilepsy with timely drug administration or brain stimulation. This research project will develop a novel multiple channel, single unit recording method to predict spontaneous seizures in rat model of epilepsy. The success of this project will be instrumental in improving seizure prediction in the clinic and benefit millions of patients with epilepsy. PHS 398/2590 (Rev. 09/04) Page Continuation Format Page | ||
| Project Information | ||||||||||||||||||||||||||
| Project Name or Project/Program Title |
Project Status | Total Federal Amount ARRA Funds Received/Invoiced |
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| SINGLE UNIT BASED SEIZURE PREDICTION. | Recipient responsible for this data | Recipient responsible for this data | ||||||||||||||||||||||||
| Number of Jobs | Description of Jobs Created | |||||||||||||||||||||||||
| Recipient responsible for this data | Recipient responsible for this data | |||||||||||||||||||||||||
| Quarterly Activities/Project Description | ||||||||||||||||||||||||||
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| Total Federal Amount of ARRA Expenditure |
Total Federal ARRA Infrastructure Expenditure |
Infrastructure Contact Name | ||||||||||||||||||||||||
| Recipient responsible for this data | Recipient responsible for this data | Recipient responsible for this data | ||||||||||||||||||||||||
| Infrastructure Contact Email | Infrastructure Contact Phone | Infrastructure Contact Phone Ext. | ||||||||||||||||||||||||
| Recipient responsible for this data | Recipient responsible for this data | Recipient responsible for this data | ||||||||||||||||||||||||
| Infrastructure Contact Street Address 1 | Infrastructure Contact Street Address 2 | Infrastructure Contact Street Address 3 | ||||||||||||||||||||||||
| 101 NORTH CHESTNUT | Not Available | Recipient responsible for this data | ||||||||||||||||||||||||
| Infrastructure City | Infrastructure State | Infrastructure ZIP Code+4 | ||||||||||||||||||||||||
| WINSTON SALEM | NC | 27101-4046 | ||||||||||||||||||||||||
| Infrastructure Purpose and Rationale | ||||||||||||||||||||||||||
| Recipient responsible for this data | ||||||||||||||||||||||||||
| Primary Place of Performance | ||
| Street Address 1 | Street Address 2 | City |
| 101 N CHESTNUT ST, STE 200 | Recipient responsible for this data | WINSTON-SALEM |
| State | Zip Code+4 | Congressional District |
| NC | 271014046 | Not Available |
| Country | ||
| US | ||
| Recipient Highly Compensated Officers | |||
| Prime Recipient Indication of Reporting Applicability | # | Officer Name | Officer Compensation |
| Recipient responsible for this data | 1 | Recipient responsible for this data | Recipient responsible for this data |
| 2 | Recipient responsible for this data | Recipient responsible for this data | |
| 3 | Recipient responsible for this data | Recipient responsible for this data | |
| 4 | Recipient responsible for this data | Recipient responsible for this data | |
| 5 | Recipient responsible for this data | Recipient responsible for this data | |
This concludes the current search.
To begin a new search, return to the HHS Recovery Act Recipient Reporting Readiness Tool.
USE IN THE RECIPIENT REPORT
The information provided by this tool is baseline data that the Recipient should include in the Recipient Report that must be submitted to FederalReporting.gov beginning October 1, 2009. The data from this tool can be cut and pasted directly into the Recipient Report.
