Evidence map›Paper›PMID 37054493›Full record

Observational studyNeurobiology of aging2023

Associations of physical function and body mass index with functional brain networks in community-dwelling older adults.

Paul J Laurienti, Michael E Miller, Robert G Lyday, Madeline C Boyd, Alexis D Tanase, Jonathan H Burdette, Christina E Hugenschmidt, W Jack Rejeski, Sean L Simpson, Laura D Baker and 2 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Neurobiology of aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The individuality of single-frame functional brain connectivity.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Relationship of Alzheimer's Disease and Related Dementias Plasma Biomarkers With Mobility in Cognitively Unimpaired Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

12 authors at 2 institutions in 1 country.

Paul J LaurientiDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA. Electronic address: plaurien@wakehealth.edu.
Michael E MillerDivision of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Robert G LydayDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Madeline C BoydDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Alexis D TanaseDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Jonathan H BurdetteDepartment of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Christina E HugenschmidtSticht Center for Healthy Aging and Alzheimer's Prevention, Department of Internal Medicine Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
W Jack RejeskiDepartment of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, USA.
Sean L SimpsonDepartment of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Laura D BakerSticht Center for Healthy Aging and Alzheimer's Prevention, Department of Internal Medicine Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Chal E TomlinsonDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Stephen B KritchevskySticht Center for Healthy Aging and Alzheimer's Prevention, Department of Internal Medicine Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Wake Forest University · USUniversity of North Carolina at Chapel Hill · US

Funding

Wake Forest Claude D. Pepper OAIC - RenewalP30AG021332 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Denise Kathryn Houston · 2002 to 2026
$36.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Wake Forest University School of Medicine Alzheimer's Disease Research CenterP30AG072947 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SUZANNE CRAFT · 2021 to 2026
$24.3M
Combining assessment of cognition, eye movement, and gait in naturalistic settings to differentiate subclinical Alzheimer's pathology.R01AG052419 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI KRITCHEVSKY, STEPHEN B., LAURIENTI, PAUL · 2017 to 2022
$4.2M
NCATS NIH HHS UL1 TR001420NIA NIH HHS P30 AG021332NIA NIH HHS P30 AG072947NIA NIH HHS R01 AG052419
6 · The paper itself

Abstract

Deficits in physical function that occur with aging contribute to declines in quality of life and increased mortality. There has been a growing interest in examining associations between physical function and neurobiology. Whereas high levels of white matter disease have been found in individuals with mobility impairments in structural brain studies, much less is known about the relationship between physical function and functional brain networks. Even less is known about the association between modifiable risk factors such as body mass index (BMI) and functional brain networks. The current study examined baseline functional brain networks in 192 individuals from the Brain Networks and mobility (B-NET) study, an ongoing longitudinal, observational study in community-dwelling adults aged 70 and older. Physical function and BMI were found to be associated with sensorimotor and dorsal attention network connectivity. There was a synergistic interaction such that high physical function and low BMI were associated with the highest network integrity. White matter disease did not modify these relationships. Future work is needed to understand the causal direction of these relationships.

Indexed as

Independent LivingLeukoencephalopathiesAgedAged, 80 and overBody Mass IndexBrainHumansMagnetic Resonance ImagingQuality of LifeAgingBody mass indexBrain networkConnectomePhysical function

Identifiers

PMID37054493
PMCPMC10227726
OpenAlexW4328105077

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.