The Lifespan Human Connectome Project in Aging: An overview.
Brain
Connectivity
Connectomics
Diffusion imaging
Functional connectivity
MRI
Morphometry
Neuroimaging
fMRI
Journal
NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515
Informations de publication
Date de publication:
15 01 2019
15 01 2019
Historique:
received:
23
07
2018
revised:
21
09
2018
accepted:
04
10
2018
pubmed:
18
10
2018
medline:
7
3
2019
entrez:
18
10
2018
Statut:
ppublish
Résumé
The original Human Connectome Project yielded a rich data set on structural and functional connectivity in a large sample of healthy young adults using improved methods of data acquisition, analysis, and sharing. More recent efforts are extending this approach to include infants, children, older adults, and brain disorders. This paper introduces and describes the Human Connectome Project in Aging (HCP-A), which is currently recruiting 1200 + healthy adults aged 36 to 100+, with a subset of 600 + participants returning for longitudinal assessment. Four acquisition sites using matched Siemens Prisma 3T MRI scanners with centralized quality control and data analysis are enrolling participants. Data are acquired across multimodal imaging and behavioral domains with a focus on factors known to be altered in advanced aging. MRI acquisitions include structural (whole brain and high resolution hippocampal) plus multiband resting state functional (rfMRI), task fMRI (tfMRI), diffusion MRI (dMRI), and arterial spin labeling (ASL). Behavioral characterization includes cognitive (such as processing speed and episodic memory), psychiatric, metabolic, and socioeconomic measures as well as assessment of systemic health (with a focus on menopause via hormonal assays). This dataset will provide a unique resource for examining how brain organization and connectivity changes across typical aging, and how these differences relate to key characteristics of aging including alterations in hormonal status and declining memory and general cognition. A primary goal of the HCP-A is to make these data freely available to the scientific community, supported by the Connectome Coordination Facility (CCF) platform for data quality assurance, preprocessing and basic analysis, and shared via the NIMH Data Archive (NDA). Here we provide the rationale for our study design and sufficient details of the resource for scientists to plan future analyses of these data. A companion paper describes the related Human Connectome Project in Development (HCP-D, Somerville et al., 2018), and the image acquisition protocol common to both studies (Harms et al., 2018).
Identifiants
pubmed: 30332613
pii: S1053-8119(18)31968-2
doi: 10.1016/j.neuroimage.2018.10.009
pmc: PMC6649668
mid: NIHMS1020733
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
335-348Subventions
Organisme : NIA NIH HHS
ID : U01 AG052564
Pays : United States
Organisme : NIH HHS
ID : U01AG052564
Pays : United States
Organisme : NIH HHS
ID : U01AG052564-S1
Pays : United States
Informations de copyright
Copyright © 2018. Published by Elsevier Inc.
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