Evidence map›Paper›PMID 42326524›Full record

ArticleResearch square2026

Effects of a 5-week heart rate biofeedback randomized intervention on texture in the Alzheimer's Disease signature cortical region.

Seo Yeon Lee, Kaoru Nashiro, Jungwon Min, Hyun Joo Yoo

Abstract readPreprint
In one paragraph

Article in Research square, 2026. 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

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

4 authors.

Seo Yeon LeeUniversity of Southern California.
Kaoru NashiroUniversity of Southern California.
Jungwon MinUniversity of Southern California.
Hyun Joo YooUniversity of Southern California.

Funding

Why Does Heart Rate Variability Matter for Emotion RegulationR01AG057184 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MATHER, MARA · 2017 to 2021
$2.1M
NIA NIH HHS R01 AG057184
6 · The paper itself

Abstract

Using data from a randomized clinical trial, we examined whether daily biofeedback training that modulates heart rate oscillations is associated with changes in microstructural brain texture in Alzheimer's disease-signature cortical (ADSC) and hippocampal regions. Younger and older adults were randomly assigned to one of two daily biofeedback practices for five weeks: slow-paced breathing designed to increase heart rate oscillations (Osc+) or self-selected strategies aimed at decreasing oscillations (Osc-). Intervention effects were observed in both ADSC and hippocampus regions and were confined to a composite texture factor dominated by uniformity and entropy. Across regions, effects were expressed primarily as Time × Condition interactions, indicating differential texture trajectories between Osc + and Osc-. In the hippocampus, this pattern was further qualified by a Time × Condition × Age Group interaction, reflecting more pronounced effects in older adults, whereas younger adults showed no reliable texture modulation. Partial least squares correlation analyses further demonstrated that training-related texture changes in the left hippocampus, right fusiform gyrus, and right entorhinal cortex covaried with concurrent changes in plasma AD-related biomarkers, with tau- and p-tau-related measures contributing most strongly to the multivariate association. Together, these findings suggest that HRV biofeedback may selectively influence specific dimensions of brain microstructural texture and that such changes are meaningfully coupled with plasma AD-related biomarker profiles.

Indexed as

agingAlzheimer’s disease–signature cortexbiofeedbackbrain textureheart rate variabilityplasma AD-related biomarkers

Identifiers

PMID42326524
PMCPMC13278345

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Registered trials

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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.