SBIR/STTR Research Award

Noninvasive Seizure Screening in Preclinical Models of Epilepsy

Award identifier 43a0b7837b8b23576b6752cdc8cb13bd47e718ca0ce6a6839e92df14429baadbAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$227,455

Program and phase

STTR · Phase I

Award year

2018

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
SIGNAL SOLUTIONS LLC
Proposal award date
2018-04-15
Contract end date
2020-03-31
UEI
D9DRUX8SM4V9
Solicitation number
PA17-303
Topic code
100

Research abstract

Noninvasive Seizure Screening in Preclinical Models of Epilepsy There is an urgent need for research into treatment options for epilepsy and other seizure disordersAnimal models are increasingly used to understand disease mechanisms and to screen promising therapeutic approachesAnimal epilepsy model use typically requires expensive and labor intensive experimentationwith invasive EEG measurements being the preferred method of validationThis severely limits the pace and scale of investigationIn models of acquired epilepsyanimals usually undergo treatment to induce status epilepticusa period of unremitting seizure followed by a latent period during which the brain rewires itself to generate spontaneously recurring seizuresevidence of chronic epilepsyThe duration of the latent period and the likelihood that an animal will develop epilepsy are both uncertainAnimals must be observed for weeks to confirm epilepsy before they are ready for experimentationDuring this latent periodseizures are commonly documented by visual observation or video reviewwhich are tedious and prone to errorA commercial system for automated noninvasive seizure detection would therefore be attractive to epilepsy researchersSignal SolutionsLLChas developed technology based on piezoelectric sensors for noninvasivehighthroughput behavioral monitoring of rodents that is currently used by research groups around the world to identify genes related to sleep and circadian rhythmsThe system discriminates sleep from wakefulness with overaccuracyThe Sunderam Lab at the University of Kentucky has further demonstrated using EEG analysis that these piezo sensors can be used to label REM and NREM stages of sleep in miceIn this STTR proposalPI Sunderam and co investigator Bauer will work with Signal Solutions to develop methods based on the piezo technology for accurate noninvasive seizure screening in rodent models of epilepsyThe result will be a validated system that minimizes the need for invasive and resource intensive EEG analysis or tedious video monitoringThe objectives of the project are the followingTest the feasibility of coarse detection of epilepsy onset in rodents using a noninvasive piezo sensorTrain a piezo classifier to accurately detect and quantify seizures in rodents with confirmed epilepsyandTest the utility of a miniature piezo sensor for seizure screening and an infrared imager for seizure verification and severity assessmentThe envisioned product is a turnkey system for convenient and noninvasive seizure screening in small animal models of epilepsy in custom or commercial cagesPotential customers include academic research labs as well as labs in the pharmaceutical sector engaged in high volume screening of antiepileptic drugs The development of treatments for epilepsy depends heavily on laboratory animal studies in which the effect of treatment on seizures is measuredSeizures are rare and unpredictableand monitoring animals for seizures requires tedious observation or review of video recordingsthe alternative is to record brain signalswhich requires invasive surgery to implant electrodesA new technology is proposed here that would enable completely noninvasive detection of seizures in animalsThe accuracy of this method will be compared with EEG analysis in an animal model of epilepsy

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

7 SBIR/STTR records share this UEI (2013–2023). Reported award amounts total $3,921,014. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services, Department of Defense

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.