Evidence map›Paper›PMID 39697483›Full record

ReviewFrontiers in aging neuroscience2024

Magnetic resonance imaging of brain structural and functional changes in cognitive impairment associated with Parkinson's disease.

Danna Cao, Jinhuan Yue, Zeyi Wei, Dong-Hong Huang, Xuchen Sun, Ke-Xuan Liu, Peng Wang, Fan Jiang, Xiaoling Li, Qinhong Zhang

Abstract readReview
In one paragraph

Review in Frontiers in aging neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. What's in a name? reframing advanced Parkinson's disease as a multidimensional state.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. 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

10 authors.

Danna Cao *Division of CT and MRI, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.
Jinhuan Yue *Shenzhen Frontiers in Chinese Medicine Research Co., Ltd., Shenzhen, China.
Zeyi Wei *Second Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.
Dong-Hong HuangFirst School of Clinical Medicine, Heilongjiang University of Chinese Medicine, Harbin, China.
Xuchen SunDepartment of Radiology, The 962 Hospital Cadre Ward of the Joint Service Support Unit of the Chinese People's Liberation Army, Harbin, China.
Ke-Xuan LiuHebei University Health Science Center, Baoding, China.
Peng WangDivision of Oncology, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.
Fan JiangThe Affiliated Hospital of Jiangxi University of Chinese Medicine, Nanchang, China.
Xiaoling LiDivision of CT and MRI, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.
Qinhong ZhangShenzhen Frontiers in Chinese Medicine Research Co., Ltd., Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive impairment is a critical non-motor symptom of Parkinson's Disease (PD) that profoundly affects patients' quality of life. Magnetic Resonance Imaging (MRI) has emerged as a valuable tool for investigating the structural and functional brain changes associated with cognitive impairment in PD (PD-CI). MRI techniques enable the precise identification and monitoring of the onset and progression of cognitive deficits in PD. This review synthesizes recent literature on the use of MRI-based techniques, including voxel-based morphometry, diffusion tensor imaging, and functional MRI, in the study of PD-CI. By examining these imaging modalities, the article aims to elucidate the patterns of brain structural and functional alterations in PD-CI, offering critical insights that can inform clinical management and therapeutic strategies. In particular, this review provides a novel synthesis of recent advancements in understanding how specific MRI metrics, such as amplitude of low-frequency fluctuations, regional homogeneity, and functional connectivity, contribute to early detection and personalized treatment approaches for PD-CI. The integration of findings from these studies enhances our understanding of the neural mechanisms underlying cognitive impairment in PD and highlights the potential of MRI as a supportive tool in the clinical assessment and treatment of PD-CI.

Indexed as

brain functionbrain structurecognitive impairmentmagnetic resonance imagingParkinson’s disease

Identifiers

PMID39697483
PMCPMC11652614

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.