Federal assistance awards · Assistance award

PRECISION MAPPING OF FUNCTIONAL NETWORKS IN HEALTHY AND PATHOLOGICAL AGING - PROJECT SUMMARY FUNCTIONAL MAG…

Federal financial assistance recorded from USAspending. This is not a procurement contract.

Research this with AI

Research smarter with AI

Analyze opportunities and compare insights across leading AI models.

ASST_NON_K00AG088569_075 · NORTHWESTERN UNIVERSITY · Department of Health and Human Services

Compare Multiple AI Models with SmartSoloExplore CaptureIQ Intelligence

Assistance award details

Assistance award identifier
ASST_NON_K00AG088569_075
FAIN
K00AG088569
Recipient
NORTHWESTERN UNIVERSITY
Awarding agency
Department of Health and Human Services
Funding agency
Department of Health and Human Services
Assistance listing (CFDA)
93.866
Total obligated
$180,701
Period
Sep 1, 2024 – Aug 31, 2029
Fiscal year
2025
Place of performance state
IL
Source file
FY2025_All_Assistance_Full_20261006.zip

Description

PRECISION MAPPING OF FUNCTIONAL NETWORKS IN HEALTHY AND PATHOLOGICAL AGING - PROJECT SUMMARY FUNCTIONAL MAGNETIC RESONANCE IMAGING (FMRI) HAS BECOME A POWERFUL TOOL FOR STUDYING THE UNDERLYING FUNCTIONAL ARCHITECTURE OF BRAIN NETWORKS BY TRACKING TEMPORAL CORRELATIONS IN THE ACTIVITY OF DIFFERENT BRAIN REGIONS; A TECHNIQUE CALLED RESTING-STATE FUNCTIONAL CONNECTIVITY (RS-FC). RECENTLY, INDIVIDUALIZED METHODS OF RS-FC HAVE REVEALED RELIABLE DIFFERENCES IN FUNCTIONAL ORGANIZATION BETWEEN INDIVIDUALS AND GROUP AVERAGES THAT HAVE BEEN IMPLICATED WITH DIFFERENCES IN BEHAVIOR. THESE PRECISION FMRI METHODS INVOLVE COLLECTING EXTENDED AMOUNTS OF RS-FC DATA ACROSS MULTIPLE SESSIONS FOR EACH SUBJECT AND THE USE OF ADVANCED DENOISING TECHNIQUES TO IMPROVE THE QUALITY OF THE DATA. INDIVIDUAL-SPECIFIC NETWORKS HAVE NOT BEEN EXAMINED IN OLDER ADULTS YET, EVEN THOUGH GROUP-AVERAGE STUDIES SUGGEST THAT BRAIN NETWORKS CHANGE SYSTEMATICALLY OVER THE COURSE OF THE LIFESPAN AND AS A FUNCTION OF DISEASE, BOTH IN CORTICAL AND CEREBELLAR REGIONS. I PROPOSE THE USE OF A DATASET OF HIGHLY SAMPLED OLDER ADULTS, AGES 60-75 (N = 38), AND YOUNGER ADULTS, AGES 18-30 (N = 38), TO CREATE INDIVIDUAL-SPECIFIC PARCELLATIONS AND NETWORK REPRESENTATIONS USING HIGH-QUALITY ANATOMICAL AND RS-FC DATA. IN AIM 1, I WILL EXAMINE WHETHER THE PROPERTIES OF INDIVIDUALIZED NETWORKS IN OLDER ADULTS DIFFER COMPARED TO YOUNG ADULTS. IN AIM 2, I WILL EXAMINE WHETHER THE NETWORKS AFFECTED IN ALZHEIMER’S DISEASE (AD) DIFFER FROM THOSE AFFECTED IN HEALTHY AGING, PARTICULARLY IN THE CEREBELLUM. PRELIMINARY DATA SUGGESTS THAT, WITH SUFFICIENT HIGH-QUALITY DATA, CORTICAL NETWORKS IN YOUNG ADULTS ARE STABLE ACROSS DAYS (R > 0.85), SUPPORTING THEIR ENDOPHENOTYPIC NATURE AND POTENTIAL FOR USE AS BIOMARKERS. THIS STUDY WILL BE THE FIRST TO USE INDIVIDUALIZED MEASURES IN OLDER ADULTS TO PROVIDE A BETTER UNDERSTANDING OF NEURODEVELOPMENTAL CHANGES TO RS-FC THAT MAY BE RELEVANT TO BEHAVIOR. INDIVIDUALIZED NETWORK TOPOLOGY HAS

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. Click Gemini to copy the research question when your browser allows, or use Copy question.