Evidence map›Paper›PMID 35029735›Full record

ArticleEuropean radiology2022

Functional MRI evidence for primary motor cortex plasticity contributes to the disease's severity and prognosis of cervical spondylotic myelopathy patients.

Rui Zhao, Xing Guo, Yang Wang, YingChao Song, Qian Su, HaoRan Sun, Meng Liang, Yuan Xue

Abstract read
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In one paragraph

Article in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 4 pooled it
6.1field-weighted citation impact, top 3% 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

23 citing papers in PubMed, 4 syntheses or guidelines pooled it, 28 citations in OpenAlex.

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  10. Measuring neuroplasticity in human development: the potential to inform the type and timing of mental health interventions.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
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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

8 authors at 3 institutions in 1 country.

Rui Zhao *Department of Orthopedics Surgery, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Xing Guo *Department of Orthopedics Surgery, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Yang Wang *Department of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
YingChao SongSchool of Medical Imaging, Tianjin Medical University and Tianjin Key Laboratory of Functional Imaging, Tianjin, 300203, China.
Qian SuDepartment of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for China, Tianjin, 300060, China.
HaoRan SunDepartment of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Meng LiangSchool of Medical Imaging, Tianjin Medical University and Tianjin Key Laboratory of Functional Imaging, Tianjin, 300203, China. liangmeng@tmu.edu.cn.
Yuan XueDepartment of Orthopedics Surgery, Tianjin Medical University General Hospital, Tianjin, 300052, China. yuanxwork@163.com.
Tianjin Medical University General Hospital · CNTianjin Medical University · CNTianjin Medical University Cancer Institute and Hospital · CN

Funding

National Natural Science Foundation of China 30973024National Natural Science Foundation of China 61773223National Natural Science Foundation of China 81471403National Natural Science Foundation of China 81871124
6 · The paper itself

Abstract

objectiveTo investigate the brain mechanism of non-correspondence between diseases severity and compression degree of the spinal cord in cervical spondylotic myelopathy (CSM) patients and to test the utility of brain imaging biomarkers for predicting prognosis of CSM.

methodsWe calculated voxel-wise zALFF from 54 CSM patients and 50 healthy controls using resting-state fMRI data. In analysis 1, we identified the brain regions exhibited significant differences of zALFF between CSM patients and healthy controls. In analyses 2 through 3, we investigated the zALFF differences between light-symptom CSM patients and severe-symptom CSM patients while carefully matching the degree of compression between these two groups. In analysis 4, we tested the utility of zALFF within the primary motor cortex (M1) for predicting the prognosis of CSM.

resultsWe found that (1) compared with the healthy controls, CSM patients exhibited higher ALFF within left M1, bilateral superior frontal gyrus, and lower zALFF within right precuneus and calcarine, suggesting altered brain neural activity in CSM patients; (2) after matching the compression degree, the CSM patients with more severe clinical symptoms exhibited higher zALFF within M1, indicating cortical function contributes to disease's severity of CSM; (3) taking the M1 zALFF as features in the prognosis prediction model improves the prediction accuracy, indicating that the M1 zALFF provide additional value for predicting the prognosis of CSM patients following decompression surgery.

conclusionThe functional state of M1 contributes to the disease's severity of CSM and can provide complementary information for predicting the prognosis of CSM following decompression surgery. KEY POINTS: • Cervical spondylotic myelopathy (CSM) patients exhibited increased zALFF within the primary motor cortex (M1), bilateral superior frontal gyrus, and decreased zALFF within the right precuneus and calcarine. • After matching the compression degree, the CSM patients with more severe clinical symptoms exhibited higher zALFF within M1, indicating cortical function contributes to disease severity of CSM. • zALFF within M1 provided additional value for predicting the prognosis of CSM patients.

Indexed as

Motor CortexSpinal Cord CompressionSpinal Cord DiseasesSpondylosisCervical VertebraeDecompression, SurgicalHumansMagnetic Resonance ImagingPrognosisFunctional Magnetic resonance imagingMachine learningPrimary motor cortexSpinal cord diseases

Identifiers

PMID35029735
OpenAlexW4206772837

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.