A novel approach of [18F]FDG PET-based individual metabolic radiomics network to predict cognitive impairment in multiple system atrophy

This study established a novel approach of IMRN for assessing whole brain metabolic connectivity, uncovering distinct cerebellar connectivity patterns in MSA-CI, which held promise for facilitating personalized cognitive evaluations in MSA.

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Publication Details

Journal
NeuroImage
Published
2025-08-25
DOI
https://doi.org/10.1016/j.neuroimage.2025.121433
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.00

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article

A novel approach of [18F]FDG PET-based individual metabolic radiomics network to predict cognitive impairment in multiple system atrophy

Chentao Jin, Yan Zhong, Xiaohui Zhang, Xiaofeng Dou et al.
NeuroImage
Bioinformatics and Genomic Networks
article

A novel approach of [18F]FDG PET-based individual metabolic radiomics network to predict cognitive impairment in multiple system atrophy

Chentao Jin, Yan Zhong, Xiaohui Zhang, Xiaofeng Dou, Ke Liu, Jing Wang, Hong Zhang, Congcong Yu, Rui Zhou, Mei Tian, Daoyan Hu
article en

Abstract

This study established a novel approach of IMRN for assessing whole brain metabolic connectivity, uncovering distinct cerebellar connectivity patterns in MSA-CI, which held promise for facilitating personalized cognitive evaluations in MSA.

NeuroImageVol. 319
Zhejiang Hospital (CN), Second Affiliated Hospital of Zhejiang University (CN), Huashan Hospital (CN), Zhejiang University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Zero hunger
Openalex Percentile: Top 80%
Bioinformatics and Genomic Networks
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A novel approach of [18F]FDG PET-based individual metabolic radiomics network to predict cognitive impairment in multiple system atrophy — Chentao Jin, Yan Zhong, et al. · NeuroImage (2025) | TGRS Research Map | TGRS