Evidence map›Paper›PMID 40160640›Full record

ArticleQuantitative imaging in medicine and surgery2025

Quantitative synthetic MRI reveals grey matter abnormalities in patients with spinal muscular atrophy types 2 and 3.

Cui Yan, Shasha Lan, Huang Wang, Huirong Nie, Pei Xiang, Boyan Xu, Shu Su, Zhiyun Yang, Wen Tang, Yijuan Li and 2 more

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

12 authors.

Cui Yan *Department of Radiology, The First Affiliated Hospital, Sun Yet-sen University, Guangzhou, China.
Shasha Lan *Department of Radiology, The First Affiliated Hospital, Sun Yet-sen University, Guangzhou, China.
Huang Wang *Department of Radiology, The First Affiliated Hospital, Sun Yet-sen University, Guangzhou, China.
Huirong NieDepartment of Radiology, The First Affiliated Hospital, Sun Yet-sen University, Guangzhou, China.
Pei XiangDepartment of Radiology, The First Affiliated Hospital, Sun Yet-sen University, Guangzhou, China.
Boyan XuMR Research China, GE Healthcare, Beijing, China.
Shu SuDepartment of Radiology, The First Affiliated Hospital, Sun Yet-sen University, Guangzhou, China.
Zhiyun YangDepartment of Radiology, The First Affiliated Hospital, Sun Yet-sen University, Guangzhou, China.
Wen TangDepartment of Pediatrics, The First Affiliated Hospital, Sun Yet-sen University, Guangzhou, China.
Yijuan LiDepartment of Pediatrics, The First Affiliated Hospital, Sun Yet-sen University, Guangzhou, China.
Yujian Liang *Department of Pediatrics, The First Affiliated Hospital, Sun Yet-sen University, Guangzhou, China.
Yingqian Chen *Department of Radiology, The First Affiliated Hospital, Sun Yet-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Several studies have shown that spinal muscular atrophy (SMA) is not limited to lower motor neurons. This cross-sectional study aimed to quantitatively investigate the gray matter (GM) alterations in patients with SMA types 2 and 3. Methods: This is a cross-sectional study. T1 and T2 maps that were extracted from synthetic magnetic resonance imaging (SyMRI) were compared between patients with SMA and healthy controls (HC). Between-group comparisons were made between SMA type 2 and type 3. The association between brain regions with significantly altered T1 and T2 values and clinical measurements were evaluated with Pearson correlation analysis. Results: Compared with HC, patients with SMA showed widespread altered T1 and T2 values in GM, mainly referring to the cerebellum, default mode network, attention and execution control network, and salience network. Negative correlations were found between Hammersmith Functional Motor Scale Expanded (HFMSE) scores and T2 values of the left orbital part of superior frontal gyrus (P=0.013) and the right olfactory cortex (P=0.008) in the patient group. Conclusions: Altered T1 and T2 values involving multiple GM regions of the brain demonstrate widespread microscopic alterations in patients with SMA, which might provide an idea for quantitative measurement of SMA nerve damage.

Indexed as

grey matter (GM)microscopic alterationsquantitative synthetic magnetic resonance imaging (quantitative SyMRI)Spinal muscular atrophy (SMA)

Identifiers

PMID40160640
PMCPMC11948371

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.