Evidence map›Paper›PMID 35977953›Full record

ArticleNPJ Parkinson's disease2022

Combined functional and structural imaging of brain white matter reveals stage-dependent impairment in multiple system atrophy of cerebellar type.

Hua Lin, Li Lin, Lyuan Xu, Siran Li, Penghui Song, Muwei Li

Open access · goldAbstract read
In one paragraph

Article in NPJ Parkinson's disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Neuroimaging in multiple system atrophy: clinical implications and novel developments.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
  3. Review
  4. Article
  5. 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

6 authors at 3 institutions in 2 countries.

Hua Lin *Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China. linhua@ccmu.edu.cn.ORCID http://orcid.org/0000-0002-7390-4559
Li Lin *Department of Radiology, the Third Affiliated Hospital of Sun Yat-sen University, 600 Tianhe Road, Guangzhou, Guangdong Province, 510630, China.ORCID http://orcid.org/0000-0003-3867-0758
Lyuan XuVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA.
Siran LiDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
Penghui SongDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
Muwei LiVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA.ORCID http://orcid.org/0000-0003-3596-9287
Capital Medical University · CNVanderbilt University · USSun Yat-sen University · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81771909National Natural Science Foundation of China (National Science Foundation of China) 81871438
6 · The paper itself

Abstract

Advances in fMRI of brain white matter (WM) have established the feasibility of understanding how functional signals of WM evolve with brain diseases. By combining functional signals with structural features of WM, the current study characterizes functional and structural impairments of WM in cerebelar type multiple system atrophy, with the goal to derive new mechanistic insights into the pathological progression of this disease. Our analysis of 30 well-diagnosed patients revealed pronounced decreases in functional connectivity in WM bundles of the cerebellum and brainstem, and concomitant local structural alterations that depended on the disease stage. The novel findings implicate a critical time point in the pathological evolution of the disease, which could guide optimal therapeutic interventions. Furthermore, fMRI signals of impaired WM bundles exhibited superior sensitivity in differentiating initial disease development, which demonstrates great potential of using these signals to inform disease management.

Identifiers

PMID35977953
PMCPMC9385720
OpenAlexW4292133662

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.