Evidence map›Paper›PMID 40160609›Full record

ArticleQuantitative imaging in medicine and surgery2025

White matter microstructural alterations are associated with cognitive decline in benzodiazepine use disorders: a multi-shell diffusion magnetic resonance imaging study.

Meizhi Yi, Tianyao Wang, Xun Li, Yihong Jiang, Yan Wang, Luokai Zhang, Wen Chen, Jun Hu, Huiting Wu, Yang Zhou and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Meizhi Yi *Department of Radiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Tianyao Wang *Department of Radiology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Xun Li *Department of Clinical Psychology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Yihong JiangRadiology Department, Xiangtan Central Hospital, Xiangtan, China.
Yan WangDepartment of Radiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Luokai ZhangRadiology Department, The Central Hospital of Shaoyang, Shaoyang, China.
Wen ChenDepartment of Radiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Jun HuDepartment of Radiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Huiting WuDepartment of Radiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Yang ZhouDepartment of Neurology, Nanhua Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Guanghua LuoDepartment of Radiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Jun LiuDepartment of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China.
Hong ZhouDepartment of Radiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.ORCID https://orcid.org/0000-0002-6460-3420

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Benzodiazepine use disorders (BUDs) have become a public health issue that cannot be ignored. We aimed to demonstrate that patients with BUDs might undergo changes in white matter (WM) integrity, which are related to impaired cognitive function. Methods: We used diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), neurite orientation dispersion and density imaging (NODDI), and mean apparent propagator (MAP) to observe changes in WM structure from 29 patients with sleep disorders with BUD (SDBUD), 33 patients with sleep disorders with non-BUD (SDNBUD), and 25 healthy participants. We also compared the diagnostic performance of the diffusion metrics and models in predicting the status of BUDs and evaluated the relationship between WM changes and cognitive impairment. Results: BUD was closely associated with WM damage in the corpus callosum (CC) and pontine crossing tract (PCT). There were 14 main diffusion metrics that could be used to predict BUD status (P=0.001-0.023). DTI, DKI, NODDI, and MAP had similar satisfactory performance for predicting BUD status (P=0.001-0.021). Pearson correlation analysis showed a close relationship between the Trail Making Test B (TMT-B) and DTI/NODDI metrics in the splenium of the CC and PCT and between the Montreal Cognitive Assessment (MoCA) and MAP metrics in the splenium of the CC in the SDBUD group (P=0.008-0.040). Conclusions: Our findings provide evidence for the neurobiological mechanism of benzodiazepine addiction and a novel method for the clinical diagnosis of BUDs.

Indexed as

benzodiazepinediffusion magnetic resonance imaging (dMRI)Substance use disorderswhite matter (WM)

Identifiers

PMID40160609
PMCPMC11948404

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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.