Evidence map›Paper›PMID 40417123›Full record

ArticleFrontiers in neurology2025

Cognitive implications of white matter microstructural changes in individuals with low heart rate variability: a NODDI study.

Shaofan Jiang, Yingzhe Cheng, Ling Luo, Rifeng Jiang, Xiaodong Pan, Yunjing Xue

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Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shaofan Jiang *Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China.
Yingzhe Cheng *Department of Neurology, Center for Cognitive Neurology, Fujian Medical University Union Hospital, Fuzhou, China.
Ling Luo *Department of Neurology, Center for Cognitive Neurology, Fujian Medical University Union Hospital, Fuzhou, China.
Rifeng JiangDepartment of Radiology, Fujian Medical University Union Hospital, Fuzhou, China.
Xiaodong PanDepartment of Neurology, Center for Cognitive Neurology, Fujian Medical University Union Hospital, Fuzhou, China.
Yunjing XueDepartment of Radiology, Fujian Medical University Union Hospital, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to investigated the microstructural integrity of WM and the relationship with the cognitive domains and cognition-related plasma biomarkers in low heart rate variability (HRV). Methods: Our study recruited 44 high HRV and 44 low HRV (Grouping by median of HF). Diffusion Magnetic resonance imaging (MRI) was utilized for the calculation of neurite orientation dispersion and density imaging (NODDI) parameters, and tract-based spatial statistics (TBSS) were employed to explore differential clusters. The fibers covered by these clusters were defined as regions of interest (ROI) for the extraction of NODDI parameter values and the analysis of their correlation with cognitive domains and cognition-related plasma biomarkers. Results: The TBSS analysis unveiled specific cerebral regions exhibiting disparities within the low HRV group high HRV group. These differences were evident in fractional isotropy (FISO; Conclusion: Patients with low HRV exhibit distinctive patterns of microstructural changes in the WM as revealed by the FISO which indicate a decline in white matter integrity, and the relationship between low HRV-related and worse cognitive performance may be attributed to damage of the frontal-corpus callosum pathways.

Indexed as

cognitionHRVMRINODDIplasma biomarker

Identifiers

PMID40417123
PMCPMC12098083

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