Evidence map›Paper›PMID 35351925›Full record

ArticleScientific data2022

Neurocognitive aging data release with behavioral, structural and multi-echo functional MRI measures.

R Nathan Spreng, Roni Setton, Udi Alter, Benjamin N Cassidy, Bri Darboh, Elizabeth DuPre, Karin Kantarovich, Amber W Lockrow, Laetitia Mwilambwe-Tshilobo, Wen-Ming Luh and 2 more

Erratum issuedAbstract readDataset
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Using Propensity Score Matching to Control for MRI Scan Quality.bioRxiv : the preprint server for biology · 2025
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  13. Charting structural brain asymmetry across the human lifespan.bioRxiv : the preprint server for biology · 2025
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  19. An approach to building foundation models for brain image analysis.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2024
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

R Nathan SprengMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada. nathan.spreng@gmail.com.ORCID http://orcid.org/0000-0003-1530-8916
Roni SettonMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Udi AlterDepartment of Psychology, York University, Toronto, ON, Canada.ORCID http://orcid.org/0000-0003-3133-839X
Benjamin N CassidyDepartment of Psychiatry, University of Toronto, Toronto, ON, Canada.
Bri DarbohDepartment of Psychology, York University, Toronto, ON, Canada.
Elizabeth DuPreMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Karin KantarovichDepartment of Psychology, York University, Toronto, ON, Canada.
Amber W LockrowMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Laetitia Mwilambwe-TshiloboMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Wen-Ming LuhNational Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Prantik KunduIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Gary R TurnerDepartment of Psychology, York University, Toronto, ON, Canada.

Funding

3T MR scanner for imaging from mouse to humanS10RR025145 · NCRR · CORNELL UNIVERSITY · PI WANG, YI · 2009 to 2009
$2.0M
NCRR NIH HHS S10 RR025145U.S. Department of Health & Human Services | National Institutes of Health (NIH) 1S10RR025145
6 · The paper itself

Abstract

Central to understanding human behavior is a comprehensive mapping of brain-behavior relations within the context of lifespan development. Reproducible discoveries depend upon well-powered samples of reliable data. We provide to the scientific community two, 10-minute, multi-echo functional MRI (ME-fMRI) runs, and structural MRI (T1-MPRAGE), from 181 healthy younger (ages 18-34 y) and 120 older adults (ages 60-89 y). T2-FLAIR MRIs and behavioral assessments are available in a majority subset of over 250 participants. Behavioral assessments include fluid and crystallized cognition, self-reported measures of personality, and socioemotional functioning. Initial quality control and validation of these data is provided. This dataset will be of value to scientists interested in BOLD signal specifically isolated from ME-fMRI, individual differences in brain-behavioral associations, and cross-sectional aging effects in healthy adults. Demographic and behavioral data are available within the Open Science Framework project "Goal-Directed Cognition in Older and Younger Adults" ( http://osf.io/yhzxe/ ), which will be augmented over time; neuroimaging data are available on OpenNeuro ( https://openneuro.org/datasets/ds003592 ).

Indexed as

BrainMagnetic Resonance ImagingNeuroimagingAdolescentAdultAgedAged, 80 and overAgingHumansMiddle AgedYoung Adult

Identifiers

PMID35351925
PMCPMC8964687

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.