Evidence map›Paper›PMID 36958620›Full record

ArticleNeuroImage2023

Associations of baseline and longitudinal change in cerebellum volume with age-related changes in verbal learning and memory.

C'iana P Cooper, Andrea T Shafer, Nicole M Armstrong, Yang An, Guray Erus, Christos Davatzikos, Luigi Ferrucci, Peter R Rapp, Susan M Resnick

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Longitudinal associations between medication use and phenotypic aging: insights from the Baltimore longitudinal study of aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Observational
  4. Article
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

9 authors at 5 institutions in 1 country.

C'iana P CooperNeurocognitive Aging Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, United States.
Andrea T ShaferBrain Aging and Behavior Section, Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, 251 Bayview Boulevard, Suite 100, Baltimore, MD 21224-6825, United States.
Nicole M ArmstrongBrain Aging and Behavior Section, Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, 251 Bayview Boulevard, Suite 100, Baltimore, MD 21224-6825, United States; Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, RI, United States.
Yang AnBrain Aging and Behavior Section, Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, 251 Bayview Boulevard, Suite 100, Baltimore, MD 21224-6825, United States.
Guray ErusSection of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States.
Christos DavatzikosSection of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States.
Luigi FerrucciTranslational Gerontology Branch, Longitudinal Studies Section, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States.
Peter R RappNeurocognitive Aging Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, United States.
Susan M ResnickBrain Aging and Behavior Section, Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, 251 Bayview Boulevard, Suite 100, Baltimore, MD 21224-6825, United States. Electronic address: resnicks@mail.nih.gov.
National Institute on Aging · USUniversity of Pennsylvania · USBrown University · USInstitute on Aging · USNational Institutes of Health · US

Funding

The Baltimore Longitudinal Study Of AgingZIAAG000015 · NIA · NATIONAL INSTITUTE ON AGING · PI SIMONSICK, ELEANOR MARIE · 2009 to 2025
$116.9M
Primate Models of Neurocognitive Aging ZIAAG000352 · NIA · NATIONAL INSTITUTE ON AGING · PI RAPP, PETER R · 2009 to 2025
$20.8M
Early Markers of Alzheimer DiseaseZIAAG000185 · NIA · NATIONAL INSTITUTE ON AGING · PI WALKER, KEENAN · 2009 to 2025
$20.4M
Intramural NIH HHS Z99 AG999999
6 · The paper itself

Abstract

The cerebellum is involved in higher-order cognitive functions, e.g., learning and memory, and is susceptible to age-related atrophy. Yet, the cerebellum's role in age-related cognitive decline remains largely unknown. We investigated cross-sectional and longitudinal associations between cerebellar volume and verbal learning and memory. Linear mixed effects models and partial correlations were used to examine the relationship between changes in cerebellum volumes (total cerebellum, cerebellum white matter [WM], cerebellum hemisphere gray matter [GM], and cerebellum vermis subregions) and changes in verbal learning and memory performance among 549 Baltimore Longitudinal Study of Aging participants (2,292 visits). All models were adjusted by baseline demographic characteristics (age, sex, race, education), and APOE e4 carrier status. In examining associations between change with change, we tested an additional model that included either hippocampal (HC), cuneus, or postcentral gyrus (PoCG) volumes to assess whether cerebellar volumes were uniquely associated with verbal learning and memory. Cross-sectionally, the association of baseline cerebellum GM and WM with baseline verbal learning and memory was age-dependent, with the oldest individuals showing the strongest association between volume and performance. Baseline volume was not significantly associated with change in learning and memory. However, analysis of associations between change in volumes and changes in verbal learning and memory showed that greater declines in verbal memory were associated with greater volume loss in cerebellum white matter, and preserved GM volume in cerebellum vermis lobules VI-VII. The association between decline in verbal memory and decline in cerebellar WM volume remained after adjustment for HC, cuneus, and PoCG volume. Our findings highlight that associations between cerebellum volume and verbal learning and memory are age-dependent and regionally specific.

Indexed as

CerebellumCognitionCross-Sectional StudiesHumansLongitudinal StudiesMagnetic Resonance ImagingVerbal LearningBLSACerebellumCVLTLongitudinalMRIVerbal memory

Identifiers

PMID36958620
PMCPMC11924273
OpenAlexW4328053280

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.