Infrastructure for hyperaligning fmri data and estimating functional topographies
Active Project Grant Awarded Last action
- Award ID
- R01MH127199
- Recipient
-
Trustees Of Dartmouth College UEI EB8ASJBCFER9
- Awarding agency
-
National Institute of Mental Health
National Institutes of Health, Department of Health and Human Services
- Obligated
- $4,986,518
Award facts
- Assistance listing
- 93.242 Mental Health Research Grants
- Completion date 88% complete
- Originally
- Place of performance
- Hanover, NH 03755, USA
Award details come from USAspending.gov.
Description
- Abstract
- Shared information in cortical functional architecture is embedded in topographies that are idiosyncratic, posing a major impediment for functional brain imaging research. Hyperalignment resolves this problem by projecting information from individual brains into a common model information space. The proposed research project will create hyperbase - research infrastructure that will enable the brain imaging research community to leverage hyperalignment to greatly enrich their data, enable analyses of shared information and individual differences embedded in idiosyncratic fine-scale cortical topographies, and create a data sharing platform for data in the hyperaligned common model information space. The infrastructure will be an optimized, standardized template common model space based on a normative database, turnkey software tools for hyperaligning new brains and estimating individual functional topographies, and a framework for sharing hyperaligned data. These data and tools will provide community infrastructural support for research on a broad range of topics in clinical neuroscience, brain aging, and basic cognitive neuroscience. The proposed database will consist of fmri data in 60 participants collected during movie viewing, story listening, at rest, and during a large set of functional localizers, augmented with demographic information and cognitive and personality test scores. Specific aims 1. Produce an optimized, standardized template for hyperalignment based on a normative database with open-source software that will allow mapping numerous functional topographies, based on standard localizer data in the normative sample, into new participant brains using only fmri data collected while the new participants watch a movie, listen to a story, or are at rest. 2. Adapt hyperalignment algorithms to work with a standard template and estimate functional topographies via the template and normative localizer data. Develop new hyperalignment algorithms that increase power, precision, and flexibility. 3. Create a system for sharing functional brain imaging data that are projected into the common information space model, allowing accumulation of data in a framework that affords at a fine-grained level of detail. Hyperalign existing public datasets.
Transactions
| Action | Obligated | Date |
|---|---|---|
| Amendment | $0 | |
| Amendment | $557,323 | |
| Amendment | $557,323 | |
| Amendment | $0 | |
| Amendment | $641,619 | |
| Amendment | $641,619 | |
| Amendment | $648,354 | |
| Amendment | $648,354 | |
| Amendment | $0 | |
| Amendment | $0 | |
| Amendment | $0 | |
| Amendment | $0 | |
| Amendment | $645,963 | |
| Original award | $645,963 |
Show all 14
Subawards
| Subrecipient | Amount | Awarded |
|---|---|---|
| Alma Mater Studiorum - Universita' DI Bologna | $14,476 |
Quick answers
Who received award R01MH127199?
R01MH127199 was awarded to Trustees Of Dartmouth College by National Institute of Mental Health (National Institutes of Health) on August 23, 2022.
How much is award R01MH127199 worth?
$4,986,518 has been obligated on R01MH127199.
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