Evidence map›Paper›PMID 41604410›Full record

Observational studyPloS one2026

Distinct brain pathways link depressive symptoms due to respiratory dysfunction and reduced physical activity in patients with chronic obstructive pulmonary disease: A single-center observational pilot study.

Shunsuke Sakakura, Motoyasu Honma, Yuri Masaoka, Ryo Manabe, Kentaro Okuda, Masaki Yoshida, Akira Yoshikawa, Misako Matsui, Daiki Shoji, Miku Kosuge and 6 more

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 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

16 authors.

Shunsuke SakakuraDepartment of Physiology, Showa Medical University School of Medicine, Tokyo, Japan.
Motoyasu HonmaDepartment of Physiology, Showa Medical University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0003-4612-0115
Yuri MasaokaDepartment of Physiology, Showa Medical University School of Medicine, Tokyo, Japan.
Ryo ManabeDepartment of Medicine, Division of Respiratory Medicine and Allergology, Showa Medical University School of Medicine, Tokyo, Japan.
Kentaro OkudaDepartment of Medicine, Tokyo Metropolitan Ebara Hospital, Tokyo, Japan.
Masaki YoshidaDepartment of Orthoptics and Visual Sciences, International University of Health and Welfare, Tokyo, Japan.
Akira YoshikawaDivision of Health Science Education, Showa Medical University School of Nursing and Rehabilitation Sciences, Yokohama, Japan.ORCID https://orcid.org/0000-0002-4424-1629
Misako MatsuiDepartment of Physiology, Showa Medical University School of Medicine, Tokyo, Japan.
Daiki ShojiDepartment of Neurology, Showa Medical University School of Medicine, Tokyo, Japan.
Miku KosugeDepartment of Respiratory Medicine, Showa Medical University Fujigaoka Hospital, Yokohama, Japan.
Shota KosugeDepartment of Neurology, Showa Medical University School of Medicine, Tokyo, Japan.
Kenta MiyoDepartment of Physiology, Showa Medical University School of Medicine, Tokyo, Japan.
Masahiro IdaDepartment of Radiology, Stroke Center, Tokyo Metropolitan Ebara Hospital, Tokyo, Japan.
Fumihiro YamaguchiDepartment of Respiratory Medicine, Showa Medical University Fujigaoka Hospital, Yokohama, Japan.ORCID https://orcid.org/0000-0003-1611-6991
Takuya YokoeDepartment of Respiratory Medicine, Showa Medical University Fujigaoka Hospital, Yokohama, Japan.
Masahiko IzumizakiDepartment of Physiology, Showa Medical University School of Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mental health issues, such as depression, are increasingly recognized as critical comorbidities in chronic obstructive pulmonary disease (COPD). While analyses of individual domains or pairwise relationships among airflow obstruction severity, brain morphological features, and mental health conditions in COPD have provided valuable insights into their direct associations, a more integrative approach may offer additional mechanistic understanding. This study aimed to clarify potential mediators in multiple brain regions between airflow obstruction and depressive tendencies in patients with COPD. We analyzed 19 patients with COPD and 23 age-matched healthy controls. Path analysis was used to evaluate the relationships among respiratory indices, regional brain volumes, and depressive symptoms. The path analysis revealed two potential pathways to depressive symptoms in the COPD group. One was a pulmonary pathway, involving forced expiratory volume in one second (%FEV1) and the genu of the corpus callosum (β = 0.503, p < 0.05) leading to depressive symptoms (β = 0.532, p < 0.05). The other was a behavioral pathway, in which physical activity (β = 0.444, p < 0.05) affected the right postcentral gyrus (β = -0.286, p < 0.05) and, in turn, depressive symptoms. No significant group differences were observed in other examined regions, including the posterior cingulate, hippocampus, hypothalamus, insula, or other corpus callosum subregions, nor in depression or anxiety scores. The model demonstrated a good fit in the COPD group (GFI = 0.876), whereas in controls, the model showed poor fit and no significant relationships (GFI = 0.784). These preliminary findings suggest potential brain pathways linking airflow obstruction, physical activity, and depressive symptoms in COPD, which warrant confirmation in larger, longitudinal studies.

Indexed as

BrainDepressionExercisePulmonary Disease, Chronic ObstructiveAgedCase-Control StudiesFemaleForced Expiratory VolumeHumansMagnetic Resonance ImagingMaleMiddle AgedPilot Projects

Identifiers

PMID41604410
PMCPMC12851480

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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.