SBIR/STTR Research Award

Brain-Plasticity Based Training for Schizophrenia

Award identifier 0b72b0765385c49f2b0bd81532e690fee98c1d4f8be49ce5d79afbea49253723Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$139,811

Program and phase

SBIR · Phase I

Award year

2005

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
POSIT SCIENCE CORP
Proposal award date
Not reported
Contract end date
Not reported
UEI
CNN8FXSY33J4
Solicitation number
PHS2005-2
Topic code
Not reported

Research abstract

DESCRIPTION (PROVIDED BY APPLICANT): The overall objective of this Fast-Track proposal is to develop and evaluate a novel, neuroscience-based multimedia training program for the treatment of cognitive deficits in schizophrenia. Neurocognitive deficits are a core feature of schizophrenia, and inhibit schizophrenics' ability to participate in rehabilitation programs, maintain social relationships, gain and maintain employment, and function independently in the community. An intervention that substantively improved schizophrenics' cognitive functioning could reduce the negative sequelae of this illness. A rapidly growing body of evidence from the neuroscience of developmental and adult brain plasticity has led to increased understanding of the neurological bases of learning and memory, and supported a specific disease-origin model of schizophrenia. We propose to develop an intensive, neuroscience-based multimedia intervention, rooted in this new disease-origin model, to ameliorate cognitive functioning and symptom expression in schizophrenia. A preliminary, incomplete form of the proposed multimedia training program has been evaluated in a pilot study with 13 schizophrenics. This training significantly ameliorated important neurocognitive deficits in most subjects, improved cognitive functioning in areas that were not targeted in training, and reduced positive psychotic symptoms. Based on these findings, we propose to create a revised and expanded training program to more directly, completely, and powerfully address a broader range of neurocognitive impairments predictive of functional outcomes in schizophrenia. We have already developed 2 of the 3 modules that will comprise the training program. Phase I of this Fast- Track proposal aims to support the development of a critical third training module targeting associative and executive cognitive processes, and to obtain feasibility and acceptability data to inform program revisions. In Phase II, we will conduct a randomized, controlled trial to evaluate the neurological and broader clinical impact of this innovative therapeutic product. This self-administered, computer-based therapy could be marketed worldwide to health care professionals who treat schizophrenics, and to families who care for them.

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.

Research funding history

20 SBIR/STTR records share this UEI (2005–2025). Reported award amounts total $13,622,135. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

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.