Evidence map›Paper›PMID 26889194›Full record

ArticleNeural regeneration research2015

A novel method for evaluating brain function and microstructural changes in Parkinson's disease.

Ming-Fang Jiang, Feng Shi, Guang-Ming Niu, Sheng-Hui Xie, Sheng-Yuan Yu

Abstract read
In one paragraph

Article in Neural regeneration research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 5 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

13 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Review
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  8. Combining biomarkers for prognostic modelling of Parkinson's disease.Journal of neurology, neurosurgery, and psychiatry · 2022
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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

5 authors.

Ming-Fang JiangDepartment of Neurology, General Hospital of PLA, Beijing, China.ORCID 0000-0001-5044-0862
Feng ShiDepartment of Radiology, Inner Mongolia Autonomous Region Hospital of Traditional Chinese Medicine, Hohhot, Inner Mongolia Autonomous Region, China.
Guang-Ming NiuDepartment of Radiology, the Affiliated Hospital of Inner Mongolia University, Hohhot, Inner Mongolia Autonomous Region, China.
Sheng-Hui XieDepartment of Radiology, the Affiliated Hospital of Inner Mongolia University, Hohhot, Inner Mongolia Autonomous Region, China.
Sheng-Yuan YuDepartment of Neurology, General Hospital of PLA, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, microstructural brain damage in Parkinson's disease patients was examined using diffusion tensor imaging and tract-based spatial statistics. The analyses revealed the presence of neuronal damage in the substantia nigra and putamen in the Parkinson's disease patients. Moreover, disease symptoms worsened with increasing damage to the substantia nigra, confirming that the substantia nigra and basal ganglia are the main structures affected in Parkinson's disease. We also found that microstructural damage to the putamen, caudate nucleus and frontal lobe positively correlated with depression. Based on the tract-based spatial statistics, various white matter tracts appeared to have microstructural damage, and this correlated with cognitive disorder and depression. Taken together, our results suggest that diffusion tensor imaging and tract-based spatial statistics can be used to effectively study brain function and microstructural changes in patients with Parkinson's disease. Our novel findings should contribute to our understanding of the histopathological basis of cognitive dysfunction and depression in Parkinson's disease.

Indexed as

basal gangliacognitive dysfunctiondepressiondiffusion tensor imagingfunctional magnetic resonance imagingnerve regeneration; Parkinson's diseaseneural regenerationsubstantia nigratract-based spatial statistical analysis

Identifiers

PMID26889194
PMCPMC4730830

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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.