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OpenR01Clinical trial: Optional / allowed

New Approaches for Measuring Brain Changes Across Longer Timespans (R01 Clinical Trial Optional)

National Institutes of Health (NIH) · NIH Institute/Center · PAR-25-279

Source: Grants.gov · View original posting ↗

Award
Amount not listed
Deadline
May 7, 2027
Letter of intent
Mechanism
R01
Duration
Expected awards
Funding cycle
Standard NIH dates
Open date
Nov 25, 2024
Total funding
Clinical trial
Optional / allowed
Established investigatorGovernmentHigher educationNonprofitSmall businessForeign entities

Funding context

16%of applications funded

Based on FY2024 NIH (all institutes) R01 applications (5,385 of 33,139 applications awarded).

Institute-specific data wasn’t available — showing the NIH-wide rate for this mechanism.

Payline: NIH discontinued percentile paylines for 2026 under its Unified Funding Strategy ↗ — scores are now weighed in context rather than against a fixed cutoff.

NIH-wide R01, all institutes.

Aggregate historical data by institute, mechanism, and fiscal year — context for planning, not a prediction for this opportunity. Source ↗

Description

The purpose of this funding opportunity is to encourage multidisciplinary investigators to develop new approaches or apply existing approaches in novel ways to measure brain activity, connectivity, genomics, or other aspects across the age spectrum of neurodevelopment. The overarching goal is to extend our understanding of brain development and aging, including studies of the neurodevelopmental origins of later health and disease. Research can include healthy human participants of any age, specific clinical groups such as those with cognitive, motor, or affective regulation challenges, and/or animal research on these domains of function. The studies can focus on longitudinal neuroanatomical or functional changes at any level, including genetics/genomics, single cells, connectomics, neural population activity patterns, and others. This funding opportunity is intended to encourage technological and conceptual innovation to improve repeated measures across longer epochs of the lifespan, to better predict outcomes at later ages.

Data notes: award amount not published in the source feed; administering NIH institute could not be identified from the opportunity number.