Evidence map›Paper›PMID 38851772›Full record

ArticleAlzheimer's research & therapy2024

Central autonomic network dysfunction and plasma Alzheimer's disease biomarkers in older adults.

Trevor Lohman, Arunima Kapoor, Allison C Engstrom, Fatemah Shenasa, John Paul M Alitin, Aimee Gaubert, Kathleen E Rodgers, David Bradford, Mara Mather, S Duke Han and 4 more

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Small-Conductance CaNeuroscience bulletin · 2026
    Review
  3. Greater Motor and Nonmotor Burden at Diagnosis Is Associated With Amyloid Copathology in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2026
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Characterizing Brain-Cardiovascular Aging Using Multiorgan Imaging and Machine Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. 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

14 authors.

Trevor LohmanUniversity of Southern California, Leonard Davis School of Gerontology, Los Angeles, CA, USA.
Arunima KapoorDepartment of Psychological Science, University of California, Irvine, Irvine, CA, USA.
Allison C EngstromDepartment of Psychological Science, University of California, Irvine, Irvine, CA, USA.
Fatemah ShenasaDepartment of Psychological Science, University of California, Irvine, Irvine, CA, USA.
John Paul M AlitinUniversity of Southern California, Leonard Davis School of Gerontology, Los Angeles, CA, USA.
Aimee GaubertUniversity of Southern California, Leonard Davis School of Gerontology, Los Angeles, CA, USA.
Kathleen E RodgersCenter for Innovations in Brain Science, Department of Pharmacology, University of Arizona, Tucson, AZ, USA.
David BradfordCenter for Innovations in Brain Science, Department of Pharmacology, University of Arizona, Tucson, AZ, USA.
Mara MatherUniversity of Southern California, Leonard Davis School of Gerontology, Los Angeles, CA, USA.
S Duke HanDepartment of Psychology, University of Southern California, Los Angeles, CA, USA.
Elizabeth HeadDepartment of Pathology and Laboratory Medicine, University of California, Irvine, Irvine, CA, USA.
Lorena SordoDepartment of Pathology and Laboratory Medicine, University of California, Irvine, Irvine, CA, USA.
Julian F ThayerDepartment of Psychological Science, University of California, Irvine, Irvine, CA, USA.
Daniel A NationUniversity of Southern California, Leonard Davis School of Gerontology, Los Angeles, CA, USA. danation@usc.edu.

Funding

Vascular Contributions to Dementia and Genetic Risk Factors for Alzheimer's DiseaseP01AG052350 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ARTHUR W TOGA · 2016 to 2026
$28.4M
The Alzheimer's Disease Research Center at the University of California, IrvineP30AG066519 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI Mathew Mark Blurton-Jones · 2020 to 2026
$27.9M
USCADRC Diversity Supplement PachicanoP30AG066530 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HELENA Chang CHUI · 2020 to 2026
$27.8M
Locus Coeruleus Imaging Markers in Preclinical Alzheimers disease, Cerebrovascular Disease and Cognitive DeclineR01AG082073 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BONDI, MARK W, MATHER, MARA · 2023 to 2025
$4.9M
Endothelial progenitor cells and neurovascular injury in the aging brainR01AG064228 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Daniel A Nation · 2019 to 2026
$4.5M
Cerebrovascular resistance in cognitive aging and Alzheimer's disease riskR01AG060049 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NATION, DANIEL A · 2020 to 2023
$2.4M
Mid-Career Development and Mentoring on Financial Vulnerability and Alzheimer's DiseaseK24AG081325 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DUKE HAN · 2023 to 2026
$798k
CIHR DFD-170763NIA NIH HHS P01 AG052350NIA NIH HHS P30 AG066530NIA NIH HHS R01 AG060049NIA NIH HHS R01 AG082073NIH HHS K24AG081325NIH HHS P30AG066519NIH HHS R01AG064228
6 · The paper itself

Abstract

backgroundHigher order regulation of autonomic function is maintained by the coordinated activity of specific cortical and subcortical brain regions, collectively referred to as the central autonomic network (CAN). Autonomic changes are frequently observed in Alzheimer's disease (AD) and dementia, but no studies to date have investigated whether plasma AD biomarkers are associated with CAN functional connectivity changes in at risk older adults.

methodsIndependently living older adults (N = 122) without major neurological or psychiatric disorder were recruited from the community. Participants underwent resting-state brain fMRI and a CAN network derived from a voxel-based meta-analysis was applied for overall, sympathetic, and parasympathetic CAN connectivity using the CONN Functional Toolbox. Sensorimotor network connectivity was studied as a negative control. Plasma levels of amyloid (Aβ

resultsAll autonomic networks were positively associated with Aβ

conclusionThe present study findings suggest that CAN function is associated with plasma AD biomarker levels. Specifically, lower CAN functional connectivity is associated with decreased plasma Aβ

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesBiomarkersMagnetic Resonance ImagingAgedAged, 80 and overAutonomic Nervous SystemAutonomic Nervous System DiseasesBrainFemaleGlial Fibrillary Acidic ProteinHumansMaleNeurofilament ProteinsPeptide FragmentsAmyloid beta-Peptidesamyloid beta-protein (1-40)amyloid beta-protein (1-42)BiomarkersGlial Fibrillary Acidic Proteinneurofilament protein LNeurofilament ProteinsPeptide FragmentsAlzheimer’s DiseaseAβ42/40Central autonomic networkGlial fibrillary acidic proteinNeurofilament light chain

Identifiers

PMID38851772
PMCPMC11162037

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.