Evidence map›Paper›PMID 36352153›Full record

ArticleBrain structure & function2023

Neuroimaging and verbal memory assessment in healthy aging adults using a portable low-field MRI scanner and a web-based platform: results from a proof-of-concept population-based cross-section study.

Sean C L Deoni, Phoebe Burton, Jennifer Beauchemin, Rosa Cano-Lorente, Matthew D De Both, Megan Johnson, Lee Ryan, Matthew J Huentelman

Open access · bronzeAbstract read
In one paragraph

Article in Brain structure & function, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Brain-age in ultra-low-field MRI: How well does it work?Imaging neuroscience (Cambridge, Mass.) · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
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

8 authors at 5 institutions in 1 country.

Sean C L DeoniMaternal, Newborn, and Child Health Discovery & Tools, Bill & Melinda Gates Foundation, 500 5th Ave, Seattle, WA, 98109, USA. sean.deoni@gatesfoundation.org.
Phoebe BurtonAdvanced Baby Imaging Lab, Rhode Island Hospital, Providence, RI, USA.
Jennifer BeaucheminAdvanced Baby Imaging Lab, Rhode Island Hospital, Providence, RI, USA.
Rosa Cano-LorenteAdvanced Baby Imaging Lab, Rhode Island Hospital, Providence, RI, USA.
Matthew D De BothNeurogenomics Division, TGen, Phoenix, AZ, USA.
Megan JohnsonNeurogenomics Division, TGen, Phoenix, AZ, USA.
Lee RyanDepartment of Psychology, University of Arizona, Tucson, AZ, USA.
Matthew J HuentelmanNeurogenomics Division, TGen, Phoenix, AZ, USA.
Translational Genomics Research Institute · USBrown University · USBill & Melinda Gates Foundation · USRhode Island Hospital · USUniversity of Arizona · US

Funding

Regulatory and Human Study Operations (RHSO) Core CU19AG065169 · NIA · UNIVERSITY OF ARIZONA · PI CHEN, ZHAO · 2021 to 2025
$59.8M
1/5 The Cumulative Risk of Substance Exposure and Early Life Adversity on Child Health Development and OutcomesR34DA050284 · NIDA · RHODE ISLAND HOSPITAL · PI AMSO, DIMA, D'SA, VIREN ANDREW · 2019 to 2020
$640k
NIA NIH HHS U19 AG065169NIA NIH HHS U19AG065169NIDA NIH HHS R34 DA050284NIDA NIH HHS R34DA050284
6 · The paper itself

Abstract

Consumer wearables and health monitors, internet-based health and cognitive assessments, and at-home biosample (e.g., saliva and capillary blood) collection kits are increasingly used by public health researchers for large population-based studies without requiring intensive in-person visits. Alongside reduced participant time burden, remote and virtual data collection allows the participation of individuals who live long distances from hospital or university research centers, or who lack access to transportation. Unfortunately, studies that include magnetic resonance neuroimaging are challenging to perform remotely given the infrastructure requirements of MRI scanners, and, as a result, they often omit socially, economically, and educationally disadvantaged individuals. Lower field strength systems (< 100 mT) offer the potential to perform neuroimaging at a participant's home, enabling more accessible and equitable research. Here we report the first use of a low-field MRI "scan van" with an online assessment of paired-associate learning (PAL) to examine associations between brain morphometry and verbal memory performance. In a sample of 67 individuals, 18-93 years of age, imaged at or near their home, we show expected white and gray matter volume trends with age and find significant (p < 0.05 FWE) associations between PAL performance and hippocampus, amygdala, caudate, and thalamic volumes. High-quality data were acquired in 93% of individuals, and at-home scanning was preferred by all individuals with prior MRI at a hospital or research setting. Results demonstrate the feasibility of remote neuroimaging and cognitive data collection, with important implications for engaging traditionally under-represented communities in neuroimaging research.

Indexed as

BrainHealthy AgingAdultCognitionHumansMagnetic Resonance ImagingNeuroimagingBrain MRIDementiaDiversity in health researchLow-field MRIRemote data collection, agingWeb-based cognitive assessment

Identifiers

PMID36352153
PMCPMC9646260
OpenAlexW4308680770

What OpenQuestion holds

Textmetadata
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.