Evidence map›Paper›PMID 38488448›Full record

ArticleHuman brain mapping2024

Functional and structural gradients reveal atypical hierarchical organization of Parkinson's disease.

Jinglong Wu, Lihua Ma, Di Luo, Zhaohui Jin, Li Wang, Luyao Wang, Ting Li, Jian Zhang, Tiantian Liu, Diyang Lv and 2 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Detection of parkinson's disease with neuroimaging modalities using machine learning and artificial intelligence: a systematic review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Pooled it
  2. Trial
  3. Macroscale Gradient-Informed Neural Oscillation Topography in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. 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

12 authors at 3 institutions in 1 country.

Jinglong WuSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China.
Lihua MaSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China.
Di LuoSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China.
Zhaohui JinParkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Li WangSchool of Life Science, Beijing Institute of Technology, Beijing, China.ORCID 0000-0001-9819-9051
Luyao WangSchool of Life Science, Shanghai University, Shanghai, China.
Ting LiSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Jian ZhangSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China.
Tiantian LiuSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Diyang LvParkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Tianyi YanSchool of Life Science, Beijing Institute of Technology, Beijing, China.ORCID 0000-0002-2674-4134
Boyan FangParkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Beijing Institute of Technology · CNCapital Medical University · CNShanghai University · CN

Funding

STI 2030-Major Projects 2022ZD0208500the Beijing Natural Science Foundation 23ISG023the China Postdoctoral Science Foundation 2020TQ0040the China Postdoctoral Science Foundation 2022M710388the Fundamental Research Funds for the Central Universities 2021CX11011the National Natural Science Foundation of China 12104049the National Natural Science Foundation of China 61727807the National Natural Science Foundation of China 62373056the National Natural Science Foundation of China 82071912the National Natural Science Foundation of China 82202291the National Natural Science Foundation of China U20A20191
6 · The paper itself

Abstract

Parkinson's disease (PD) patients exhibit deficits in primary sensorimotor and higher-order executive functions. The gradient reflects the functional spectrum in sensorimotor-associated areas of the brain. We aimed to determine whether the gradient is disrupted in PD patients and how this disruption is associated with treatment outcome. Seventy-six patients (mean age, 59.2 ± 12.4 years [standard deviation], 44 women) and 34 controls participants (mean age, 58.1 ± 10.0 years [standard deviation], 19 women) were evaluated. We explored functional and structural gradients in PD patients and control participants. Patients were followed during 2 weeks of multidisciplinary intensive rehabilitation therapy (MIRT). The Unified Parkinson's Disease Rating Scale Part III (UPDRS-III) was administered to patients before and after treatment. We investigated PD-related alterations in the principal functional and structural gradients. We further used a support vector machine (SVM) and correlation analysis to assess the classification ability and treatment outcomes related to PD gradient alterations, respectively. The gradients showed significant differences between patients and control participants, mainly in somatosensory and visual networks involved in primary function, and higher-level association networks (dorsal attentional network (DAN) and default mode network (DMN)) related to motor control and execution. On the basis of the combined functional and structural gradient features of these networks, the SVM achieved an accuracy of 91.2% in discriminating patients from control participants. Treatment reduced the gradient difference. The altered gradient exhibited a significant correlation with motor improvement and was mainly distributed across the visual network, DAN and DMN. This study revealed damage to gradients in the brain characterized by sensorimotor and executive control deficits in PD patients. The application of gradient features to neurological disorders could lead to the development of potential diagnostic and treatment markers for PD.

Indexed as

Parkinson DiseaseSensorimotor CortexAgedBrain MappingExecutive FunctionFemaleHumansMagnetic Resonance ImagingMiddle Agedfunctional gradientmagnetic resonance imagingParkinson's diseasestructural gradient

Identifiers

PMID38488448
PMCPMC10941507
OpenAlexW4392888425

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.