Evidence map›Paper›PMID 42780862›Full record

ArticleFrontiers in aging neuroscience2026

Hippocampal subfield diffusion abnormalities in Parkinson's disease with mild cognitive impairment: a volumetric and diffusion MRI study.

Yumei Chen, Lu Peng, Qing Hu, Ziyan Zhao, Bingchao Xu

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Article in Frontiers in aging neuroscience, 2026. 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

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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

5 authors.

Yumei ChenDepartment of Neurology, Lianyungang Clinical College of Nanjing Medical University/The First People's Hospital of Lianyungang, Lianyungang, China.
Lu PengDepartment of Neurology, Lianyungang Clinical College of Nanjing Medical University/The First People's Hospital of Lianyungang, Lianyungang, China.
Qing HuDepartment of Neurology, The Affiliated Lianyungang Hospital of Xuzhou Medical University/The First People's Hospital of Lianyungang, Lianyungang, China.
Ziyan ZhaoDepartment of Neurology, The Affiliated Lianyungang Hospital of Xuzhou Medical University/The First People's Hospital of Lianyungang, Lianyungang, China.
Bingchao XuDepartment of Neurology, Lianyungang Clinical College of Nanjing Medical University/The First People's Hospital of Lianyungang, Lianyungang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate whether patients with Parkinson's disease with mild cognitive impairment exhibit hippocampal subfield-specific macrostructural and microstructural alterations and to determine whether these imaging abnormalities are associated with global cognitive performance. Methods: This retrospective cross-sectional study included 34 patients with Parkinson's disease and mild cognitive impairment (PD-MCI), 34 patients with Parkinson's disease and preserved cognitive function (PD-NC), and 18 healthy controls (HCs). Bilateral hippocampal subfield volumes were quantified from T1-weighted magnetic resonance images, while fractional anisotropy (FA), axial diffusivity (AD), mean diffusivity (MD), and radial diffusivity (RD) were derived from diffusion tensor imaging. Between-group differences were assessed using analysis of covariance. Diffusion models were adjusted for age, sex, and years of education, whereas volumetric models were additionally adjusted for estimated total intracranial volume. The Benjamini-Hochberg false discovery rate (FDR) procedure was applied across 182 imaging outcomes, and outcomes surviving global FDR correction were followed by Tukey-adjusted pairwise comparisons. Exploratory partial correlations assessed associations between FDR-positive diffusion measures and MoCA scores in the combined PD cohort after adjustment for age, sex, and years of education. BH-FDR correction was applied across the 42 correlation tests, and an additional sensitivity analysis further adjusted for PD-MCI/PD-NC group membership. Results: None of the 38 volumetric measures survived global FDR correction. In contrast, significant group effects were identified in 42 diffusion measures, comprising 14 AD, 2 FA, 12 MD, and 14 RD outcomes. The strongest effects for the diffusivity measures were observed in the left GC-ML-DG-head (AD: F (2,80) = 11.87, q = 0.002, partial η Conclusion: PD-MCI was characterized by distributed hippocampal diffusivity alterations despite the absence of detectable volumetric differences. Subfield-specific diffusion measures may provide complementary information on cognition-related hippocampal involvement beyond conventional volumetry, but their diagnostic and prognostic value requires longitudinal and external validation.

Indexed as

cognitive functiondiffusion tensor imaginghippocampal subfieldsmild cognitive impairmentParkinson’s disease

Identifiers

PMID42780862
PMCPMC13598964

What Socratic holds

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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 Socratic graph.