---
title: "Mapping the Human Connectome During Typical Aging (HCP-A) & Vulnerability and Resiliency in the Aging Adult Brain Connectome (AABC)"
id: "8710"
type: "cohort"
slug: "mapping-the-human-connectome-during-typical-aging-hcp-a-vulnerability-and-resiliency-in-the-aging-adult-brain-connectome-aabc"
published_at: "2026-02-06T19:38:24+00:00"
modified_at: "2026-02-06T19:38:25+00:00"
url: "https://dss.niagads.org/cohorts/mapping-the-human-connectome-during-typical-aging-hcp-a-vulnerability-and-resiliency-in-the-aging-adult-brain-connectome-aabc/"
markdown_url: "https://dss.niagads.org/cohorts/mapping-the-human-connectome-during-typical-aging-hcp-a-vulnerability-and-resiliency-in-the-aging-adult-brain-connectome-aabc.md"
excerpt: "Approximately 1200 healthy participants aged 36 years and older will be studied by a consortium of investigators at WUSTL, Massachusetts General Hospital, UCLA and the University of Minnesota. In addition, Oxford University, with which WUSTL has executed a Data Use..."
taxonomy_cohort_countries:
  - "United States of America"
---

Website:

[https://agingadultbrainconnectome.wustl.edu/](https://agingadultbrainconnectome.wustl.edu/)

## Description

Approximately 1200 healthy participants aged 36 years and older will be studied by a consortium of investigators at WUSTL, Massachusetts General Hospital, UCLA and the University of Minnesota. In addition, Oxford University, with which WUSTL has executed a Data Use Agreement to allow sharing of the Limited Data Set, will participate in data analysis. Participants will undergo several MR scans during their study visit(s) to assess structural and functional brain connectivity at rest and during activation by certain tasks done in the scanner. To correlate and contrast with connectivity patterns, they will also be asked to answer questions demonstrating their cognitive and learning ability, and their emotional characteristics. They will be characterized for major factors relevant to general health and brain aging, including vascular burden (e.g., obesity, hypertension, smoking), genetic status of several aging-related genes (e.g., APOE), diet, physical activity, systemic health, (insulin, HbA1C, glucose, creatinine, cholesterol, total protein), hormonal status (estrogen, testosterone, luteinizing hormone, follicle stimulating hormone), and life history of stress, sleep patterns, social/community engagement, and adversity.

## Related Datasets

- [NG00186 – Genetic Component of the Mapping the Human Connectome During Typical Aging (HCP-A) & Vulnerability and Resiliency in the Aging Adult Brain Connectome (AABC)](https://dss.niagads.org/datasets/ng00186/) The AABC (formerly HCP-A) is working to uncover how brain structure and function changes as a normal part of aging by collecting and analyzing multimodal neuroimaging, behavioral, and genetic data.… [Learn more](https://dss.niagads.org/datasets/ng00186/)

## Related Studies

- [sa000079 - Mapping the Human Connectome During Typical Aging (HCP-A) & Vulnerability and Resiliency in the Aging Adult Brain Connectome (AABC)](https://dss.niagads.org/studies/sa000079/) Changes in brain structure and function are a normal part of the aging process from middle age through older adulthood, yet relatively few studies have focused on healthy aging of… [Learn more](https://dss.niagads.org/studies/sa000079/)

## Related Sample Sets

- [snd10137 - Genetic Component of the Mapping the Human Connectome During Typical Aging (HCP-A) & Vulnerability and Resiliency in the Aging Adult Brain Connectome (AABC)](https://dss.niagads.org/sample-sets/snd10137/) The AABC (formerly HCP-A) is working to uncover how brain structure and function changes as a normal part of aging by collecting and analyzing multimodal neuroimaging, behavioral, and genetic data.… [Learn more](https://dss.niagads.org/sample-sets/snd10137/)

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