Evidence map›Paper›PMID 30332613›Full record

ArticleNeuroImage2019

The Lifespan Human Connectome Project in Aging: An overview.

Susan Y Bookheimer, David H Salat, Melissa Terpstra, Beau M Ances, Deanna M Barch, Randy L Buckner, Gregory C Burgess, Sandra W Curtiss, Mirella Diaz-Santos, Jennifer Stine Elam and 17 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 304 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
304citing papers in PubMed, 2 pooled it
10.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

304 citing papers in PubMed, 2 syntheses or guidelines pooled it, 413 citations in OpenAlex.

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  18. Converging on control: Rethinking treatment-resistant depression through network neuroscience.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Article
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244 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

27 authors at 9 institutions in 2 countries.

Susan Y BookheimerDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA. Electronic address: sbook@ucla.edu.
David H SalatAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Melissa TerpstraCenter for Magnetic Resonance Research Imaging, Department of Radiology, University of Minnesota, Minneapolis, MN, USA.
Beau M AncesDepartment of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA.
Deanna M BarchDepartment of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA; Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
Randy L BucknerAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Harvard University Department of Psychology and Center for Brain Science, Cambridge, MA, USA; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Gregory C BurgessDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Sandra W CurtissDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA.
Mirella Diaz-SantosDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA.
Jennifer Stine ElamDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA.
Bruce FischlAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; MIT Division of Health Sciences and Technology Computer Science and Artificial Intelligence Laboratory, USA.
Douglas N GreveAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Hannah A HagyCenter for Magnetic Resonance Research Imaging, Department of Radiology, University of Minnesota, Minneapolis, MN, USA.
Michael P HarmsDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Olivia M HatchAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Trey HeddenAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Cynthia HodgeDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Kevin C JapardiDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA.
Taylor P KuhnDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA.
Timothy K LyDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA.
Stephen M SmithWellcome Centre for Integrative Neuroimaging - Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK.
Leah H SomervilleHarvard University Department of Psychology and Center for Brain Science, Cambridge, MA, USA.
Kâmil UğurbilCenter for Magnetic Resonance Research Imaging, Department of Radiology, University of Minnesota, Minneapolis, MN, USA.
Andre van der KouweAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
David Van EssenDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA.
Roger P WoodsDepartments of Neurology and Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA.
Essa YacoubCenter for Magnetic Resonance Research Imaging, Department of Radiology, University of Minnesota, Minneapolis, MN, USA.
Washington University in St. Louis · USHarvard University · USUniversity of California, Los Angeles · USMassachusetts General Hospital · USUniversity of Minnesota · USNeurobehavioral Systems · USAthinoula A. Martinos Center for Biomedical Imaging · USResonance Research (United States) · USUniversity of Oxford · GB

Funding

MAPPING THE HUMAN CONNECTOME DURING TYPICAL AGINGU01AG052564 · NIA · WASHINGTON UNIVERSITY · PI SALAT, DAVID H, TERPSTRA, MELISSA J · 2016 to 2020
$18.9M
NIA NIH HHS U01 AG052564NIH HHS U01AG052564NIH HHS U01AG052564-S1
6 · The paper itself

Abstract

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).

Indexed as

AgingBrainLongevityNerve NetAdultAgedAged, 80 and overConnectomeFemaleHumansMaleMiddle AgedModels, NeurologicalMultimodal ImagingNeuroimagingResearch DesignBrainConnectivityConnectomicsDiffusion imagingfMRIFunctional connectivityMorphometryMRINeuroimaging

Identifiers

PMID30332613
PMCPMC6649668
OpenAlexW2896555885

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.