Evidence map›Paper›PMID 40291713›Full record

ArticlebioRxiv : the preprint server for biology2025

The Physiological Component of the BOLD Signal: Impact of Age and Heart Rate Variability Biofeedback Training.

Richard Song, Jungwon Min, Shiyu Wang, Sarah E Goodale, Kimberly Rogge-Obando, Ruoqi Yang, Hyun Joo Yoo, Kaoru Nashiro, Jingyuan E Chen, Mara Mather and 1 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Richard SongDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA.
Jungwon MinLeonard Davis School of Gerontology, Department of Psychology, and Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA.
Shiyu WangDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Sarah E GoodaleDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Kimberly Rogge-ObandoProgram in Neuroscience, Vanderbilt University, Nashville, TN, USA.
Ruoqi YangDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA.
Hyun Joo YooLeonard Davis School of Gerontology, Department of Psychology, and Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA.
Kaoru NashiroLeonard Davis School of Gerontology, Department of Psychology, and Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA.
Jingyuan E ChenAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.
Mara MatherLeonard Davis School of Gerontology, Department of Psychology, and Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA.
Catie ChangDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA.

Funding

Training in Fundamental NeuroscienceT32MH064913 · NIMH · VANDERBILT UNIVERSITY · PI IHRIE, REBECCA A, WINDER, DANNY G. · 2001 to 2022
$7.6M
fMRI physiological signatures of aging and Alzheimer's DiseaseRF1MH125931 · NIMH · VANDERBILT UNIVERSITY · PI CHANG, CATHERINE ELIZABETH · 2021 to 2021
$1.1M
Probing the Biophysical Basis of Large-Scale Brain Dynamics Using Simultaneous PET/fMRI and EEG/PET/fMRIR00NS118120 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CHEN, JINGYUAN · 2023 to 2025
$735k
Characterizing vigilance in fMRI data and its relation to age-related cognitive impairment.F99AG079810 · NIA · VANDERBILT UNIVERSITY · PI GOODALE, SARAH E · 2022 to 2024
$65k
NIA NIH HHS F99 AG079810NIMH NIH HHS RF1 MH125931NIMH NIH HHS T32 MH064913NINDS NIH HHS R00 NS118120
6 · The paper itself

Abstract

Aging is associated with declines in autonomic nervous system (ANS) function, including reduced heart rate variability (HRV), impaired neurovascular coupling, and diminished cerebrovascular responsiveness-factors that may contribute to cognitive decline and neurodegenerative diseases. Understanding how aging alters physiological signal integration in the brain is crucial for identifying potential interventions to promote brain health. This study examines age-related differences in how cardiac and respiratory fluctuations influence the blood oxygenation level-dependent (BOLD) signal, using two independent resting-state fMRI datasets with concurrent physiological recordings from younger and older adults. Our findings reveal significant age-related reductions in the percent variance of the BOLD signal explained by heart rate (HR), respiratory variation (RV), and end-tidal CO

Identifiers

PMID40291713
PMCPMC12026741

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.