SBIR/STTR Research Award

Efficacy of a Virtual Reality Neuroscience-based Therapy for Chronic Low Back Pain

Award identifier c42d9c3685e686d4fa18c157b79d5e929024a5bad0164294b7d8aa45a6888910Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,558,348

Program and phase

SBIR · Phase II

Award year

2024

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
COGNIFISENSE, INC.
Proposal award date
2024-06-11
Contract end date
2027-04-30
UEI
EWCZLHMC44N8
Solicitation number
PA23-231
Topic code
600

Research abstract

PROJECT SUMMARY / ABSTRACT CognifiSense has developed a unique, patented VR therapy for chronic pain, called Virtual Reality Neuroscience- based Therapy (VRNT). VRNT is specifically designed to create substantial and lasting pain reduction by targeting the centralized drivers of pain chronification and amplification. Following our highly successful Phase I study, the goal of this Phase II project is to make the VRNT system market-ready and demonstrate its efficacy in a pivotal randomized controlled trial (RCT). Phase II data will subsequently be used in an FDA submission. Chronic pain is a serious medical condition impacting an estimated 1 in 5 Americans. Chronic lower back pain (cLBP) is the most common type of chronic pain, affecting 27 million Americans. Chronic pain is a complex biopsychosocial condition with a significant centralized (central nervous system) component, which must be addressed to yield clinically meaningful, long-lasting reductions in pain. Standard treatments for cLBP yield small to medium magnitude effect sizes, and many involve risk of significant side-effects and / or addiction. Pharmacological treatments simply mask effects and do not address any underlying, centralized drivers of pain. Devices seek to address peripheral or ascending pain signals. The leading psychological therapies aim to improve primarily behavioral and emotional functioning rather than reduce pain intensity. Numerous clinical trials have shown that the effects of these treatments on pain intensity are small, and long-term effects are even more limited. Virtual reality (VR) pain therapies have shown significant promise, but most VR therapies focus on digitizing traditional psychological therapies or therapies only effective for acute pain. VRNT takes a unique approach. It uses patented technology that incorporates the latest pain neuroscience and newer, more effective psychological therapies to provide experiential learning and novel skills training to correct maladaptive neural processes. In our NIH-funded SBIR Phase I research, we established clinical proof of concept for VRNT with a small-scale randomized clinical trial of people with cLBP. The trial demonstrated that VRNT creates clinically meaningful post-treatment improvements in pain. Moreover, we generated brain imaging data that provided preliminary evidence of neuroplastic changes in the brain that paralleled chronic pain reduction from VRNT treatment. The current Phase II application will support research to make VRNT market- ready and provide pivotal data on VRNT’s placebo-controlled effect magnitude and long-term efficacy. The Specific Aims of this proposal are: 1) Port VRNT to a new VR hardware platform and make minor modifications to improve usability and engagement. 2) Develop sham VR software using an accepted sham VR design. 3) Demonstrate VRNT’s clinical efficacy and durability in people with cLBP in a sham-controlled RCT.

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

2 SBIR/STTR records share this UEI (2019–2024). Reported award amounts total $1,783,348. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Health and Human Services

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.