Evidence map›Paper›PMID 39241547›Full record

ArticleNeuroImage. Clinical2024

Unveiling MRI markers for Parkinson's Disease: GABAergic dysfunction and cortical changes.

Yuan Tian, Sijia Geng, Tianyi Liu, Qi Wang, Jianxiu Lian, Liangjie Lin, Jiayu Li, Tao Gong, Junhong Duan, Dan Wang and 1 more

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

11 authors.

Yuan TianDepartment of Magnetic Resonance, the First Affiliated Hospital of Harbin Medical University, Heilongjiang, Harbin 150001, PR China. Electronic address: 6318@hrbmu.edu.cn.
Sijia GengDepartment of Magnetic Resonance, the First Affiliated Hospital of Harbin Medical University, Heilongjiang, Harbin 150001, PR China. Electronic address: 18346544139@163.com.
Tianyi LiuThe First Department of Neurology, the First Affiliated Hospital of Harbin Medical University, Heilongjiang, Harbin 150001, PR China. Electronic address: liutyi92@163.com.
Qi WangDepartment of Magnetic Resonance, the First Affiliated Hospital of Harbin Medical University, Heilongjiang, Harbin 150001, PR China. Electronic address: wangqi981024@163.com.
Jianxiu LianClinical and Technical Support, Philips Healthcare, Beijing, PR China. Electronic address: Natalie.lian@philips.com.
Liangjie LinClinical and Technical Support, Philips Healthcare, Beijing, PR China. Electronic address: liangjie.lin@philips.com.
Jiayu LiDepartment of Radiology, the third People's Hospital of Chengdu, Sichuan, PR China. Electronic address: 1205221080@qq.com.
Tao GongDepartments of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, PR China. Electronic address: aitao880801@126.com.
Junhong DuanDepartment of Radiology, Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Changsha 410013, Hunan, PR China. Electronic address: 188302054@csu.edu.cn.
Dan WangDepartment of Medical Imaging, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, PR China. Electronic address: dywang46@yeah.net.
Pengfei LiuDepartment of Magnetic Resonance, the First Affiliated Hospital of Harbin Medical University, Heilongjiang, Harbin 150001, PR China. Electronic address: liupengfei@hrbmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe study aimed to investigate changes in basal levels of the inhibitory γ-aminobutyric acid (GABA) neurotransmitter in the sensorimotor cortex (SMC) and cortical gyrification in patients with Parkinson's disease (PD), which could further identify potential imaging biomarkers for PD, particularly in patients with early-onset Parkinson's disease (EOPD).

methodFifty patients with PD (EOPD: 10, late-onset Parkinson's disease [LOPD]: 40) and fifty-two age- and gender-matched healthy controls (HC) underwent GABA-edited 1H MRS of the SMC and high-resolution 3D T1-weighted brain imaging. GABA levels and local gyrification index (LGI) were calculated to assess GABAergic and cortical gyrification deficits in PD.

resultThe Pearson correlation coefficients revealed significant negative associations between eight indicators, including GABA/Cr level and local gyrification index (LGI) of specific cortical regions (precentral, postcentral, entorhinal, superiortemporal, posteriorcingulate, cuneus, and transversetemporal cortex), and the likelihood of Parkinson's disease (r < -0.4, p < 0.001). Additionally, GABA levels were significantly lower in the SMC region of both EOPD and LOPD patients compared to healthy controls (mean ± SD [u.i.]: EOPD=0.081 ± 0.022 vs. Young-HC=0.112 ± 0.021, p = 0.003; LOPD=0.054 ± 0.024 vs. Old-HC=0.099 ± 0.021, p < 0.001). The logistic regression model was established by using multivariate analysis, identifying two statistically significant indicators: GABA/Cr and LGI of the transversetemporal. The combined model exhibited the highest AUC values in both younger and older populations.

conclusionGABAergic dysfunction may play an important role in the pathogenesis of PD patients. Changes in neurotransmitter and morphological may serve as potential markers for the preclinical diagnosis and progression of PD, including EOPD.

Indexed as

gamma-Aminobutyric AcidMagnetic Resonance ImagingParkinson DiseaseAdultAgedBiomarkersCerebral CortexFemaleHumansMaleMiddle AgedSensorimotor CortexBiomarkersgamma-Aminobutyric AcidGABALGIMEGA-PRESSParkinson’sDiseaseSensoriotor cortex

Identifiers

PMID39241547
PMCPMC11405913

What OpenQuestion holds

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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.