Evidence map›Paper›PMID 25885059›Full record

Trial reportPloS one2015

Discriminative analysis of Parkinson's disease based on whole-brain functional connectivity.

Yongbin Chen, Wanqun Yang, Jinyi Long, Yuhu Zhang, Jieying Feng, Yuanqing Li, Biao Huang

Abstract readClinical Trial
In one paragraph

Trial report in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Altered Neurovascular Coupling for Multidisciplinary Intensive Rehabilitation in Parkinson's Disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Resting-state Functional MRI in Parkinsonian Syndromes.Movement disorders clinical practice · 2019
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Magnetic resonance imaging for the diagnosis of Parkinson's disease.Journal of neural transmission (Vienna, Austria : 1996) · 2017
    Review
  18. l-Dopa responsiveness is associated with distinctive connectivity patterns in advanced Parkinson's disease.Movement disorders : official journal of the Movement Disorder Society · 2017
    Article
  19. Article
  20. 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

7 authors.

Yongbin ChenCenter for Brain Computer Interfaces and Brain Information Processing, South China University of Technology, Guangzhou, China.
Wanqun YangDepartment of Radiology, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou, Guangdong, China.
Jinyi LongCenter for Brain Computer Interfaces and Brain Information Processing, South China University of Technology, Guangzhou, China.
Yuhu ZhangDepartment of Neurology, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou, Guangdong, China.
Jieying FengDepartment of Radiology, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou, Guangdong, China.
Yuanqing LiCenter for Brain Computer Interfaces and Brain Information Processing, South China University of Technology, Guangzhou, China.
Biao HuangDepartment of Radiology, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, there has been an increasing emphasis on applications of pattern recognition and neuroimaging techniques in the effective and accurate diagnosis of psychiatric or neurological disorders. In the present study, we investigated the whole-brain resting-state functional connectivity patterns of Parkinson's disease (PD), which are expected to provide additional information for the clinical diagnosis and treatment of this disease. First, we computed the functional connectivity between each pair of 116 regions of interest derived from a prior atlas. The most discriminative features based on Kendall tau correlation coefficient were then selected. A support vector machine classifier was employed to classify 21 PD patients with 26 demographically matched healthy controls. This method achieved a classification accuracy of 93.62% using leave-one-out cross-validation, with a sensitivity of 90.47% and a specificity of 96.15%. The majority of the most discriminative functional connections were located within or across the default mode, cingulo-opercular and frontal-parietal networks and the cerebellum. These disease-related resting-state network alterations might play important roles in the pathophysiology of this disease. Our results suggest that analyses of whole-brain resting-state functional connectivity patterns have the potential to improve the clinical diagnosis and treatment evaluation of PD.

Indexed as

ConnectomeDiscriminant AnalysisSupport Vector MachineAgedCase-Control StudiesCerebellumCerebral CortexEarly DiagnosisFemaleHead MovementsHumansMagnetic Resonance ImagingMaleMiddle AgedNerve NetParkinson Disease

Identifiers

PMID25885059
PMCPMC4401568

What OpenQuestion holds

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Registered trials

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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.