Evidence map›Paper›PMID 35551019›Full record

ArticleNeurobiology of aging2022

Actigraphy-estimated physical activity is associated with functional and structural brain connectivity among older adults.

Anja Soldan, Alfonso Alfini, Corinne Pettigrew, Andreia Faria, Xirui Hou, Chantelle Lim, Hanzhang Lu, Adam P Spira, Vadim Zipunnikov, Marilyn Albert and 1 more

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

Article in Neurobiology of aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 22 citations in OpenAlex.

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  10. Differences in Daily Physical Activity by Alzheimer's Risk Markers Among Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
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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

11 authors at 2 institutions in 1 country.

Anja SoldanDivision of Cognitive Neuroscience, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA. Electronic address: asoldan1@jhmi.edu.
Alfonso AlfiniNational Center on Sleep Disorders Research, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD, USA.
Corinne PettigrewDivision of Cognitive Neuroscience, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Andreia FariaDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Xirui HouDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Chantelle LimDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Hanzhang LuDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Adam P SpiraDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Vadim ZipunnikovDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Marilyn AlbertDivision of Cognitive Neuroscience, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
BIOCARD Research TeamDivision of Cognitive Neuroscience, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Johns Hopkins University · USNational Heart Lung and Blood Institute · US

Funding

Project 2 MeasurementU19AG033655 · NIA · JOHNS HOPKINS UNIVERSITY · PI Abhay Moghekar · 2014 to 2026
$51.5M
'T V ASSESSMENT - MEMORY DISORDERED PATIENTS'P50AG005146 · NIA · JOHNS HOPKINS UNIVERSITY · PI BANDEEN-ROCHE, KAREN J. · 1985 to 2019
$37.6M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 2020 to 2026
$29.3M
Biomarkers of Cognitive Decline among Normal Individuals: The BIOCARD cohortU01AG033655 · NIA · JOHNS HOPKINS UNIVERSITY · PI ALBERT, MARILYN S. · 2009 to 2013
$11.2M
Poor Sleep Altered Circadian Rhythms and Alzheimers DiseaseR01AG050507 · NIA · JOHNS HOPKINS UNIVERSITY · PI SPIRA, ADAM PETER · 2015 to 2019
$2.5M
NIA NIH HHS P30 AG066507NIA NIH HHS P50 AG005146NIA NIH HHS R01 AG050507NIA NIH HHS U01 AG033655NIA NIH HHS U19 AG033655
6 · The paper itself

Abstract

Higher physical activity levels are associated with reduced cognitive decline among older adults; however, current understanding of underlying brain mechanisms is limited. This cross-sectional study investigated the relationship between actigraphy-estimated total volume of physical activity (TVPA) and magnetic resonance imaging (MRI) measures of white matter hyperintensities (WMH), and functional and structural brain connectivity, measured by resting-state functional MRI and diffusion tensor imaging. Study participants (N = 156, mean age = 71 years) included 136 with normal cognition and 20 with Mild Cognitive Impairment. Higher TVPA was associated with greater functional connectivity within the default-mode network and greater network modularity (a measure of network specialization), as well as with greater anisotropy and lower radial diffusion in white matter, suggesting better structural connectivity. These associations with functional and structural connectivity were independent of one another and independent of the level of vascular risk, APOE-ε4 status, cognitive reserve, and WMH volume, which were not associated with TVPA. Findings suggest that physical activity is beneficial for brain connectivity among older individuals with varying levels of risk for cognitive decline.

Indexed as

Cognitive DysfunctionWhite MatterActigraphyAgedBrainCross-Sectional StudiesDiffusion Tensor ImagingExerciseHumansMagnetic Resonance ImagingNeuropsychological TestsAccelerometryFunctional connectivityPhysical activityWhite matter hyperintensitiesWhite matter microstructure

Identifiers

PMID35551019
PMCPMC10167793
OpenAlexW4224003362

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.