Multimodal striatal neuromarkers in distinguishing parkinsonian variant of multiple system atrophy from idiopathic Parkinson's disease-Reference-Cited by-同舟云学术

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Multimodal striatal neuromarkers in distinguishing parkinsonian variant of multiple system atrophy from idiopathic Parkinson's disease

Published:2022-09 Issue:12 Volume:28 Page:2172-2182
ISSN:1755-5930
Container-title:CNS Neuroscience & Therapeutics
language:en
Short-container-title:CNS Neurosci Ther

Author:

Pang Huize¹,Yu Ziyang²,Yu Hongmei³,Chang Miao¹,Cao Jibin¹,Li Yingmei¹,Guo Miaoran¹,Liu Yu¹,Cao Kaiqiang¹,Fan Guoguang¹^ORCID

Affiliation:

1. Department of Radiology The first Affiliated Hospital of China Medical University Shenyang China

2. School of Medicine Xiamen University Xiamen China

3. Department of Neurology The first Affiliated Hospital of China Medical University Shenyang China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Pharmacology (medical),Physiology (medical),Psychiatry and Mental health,Pharmacology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cns.13959

Reference57 articles.

1. Cognitive impairment and structural brain damage in multiple system atrophy-parkinsonian variant

2. Parkinson's disease

3. Diagnostic accuracy of the appearance of Nigrosome-1 on magnetic resonance imaging in Parkinson's disease: A systematic review and meta-analysis

4. Using ‘swallow-tail’ sign and putaminal hypointensity as biomarkers to distinguish multiple system atrophy from idiopathic Parkinson’s disease: A susceptibility-weighted imaging study

5. Radiomic Features of the Nigrosome-1 Region of the Substantia Nigra: Using Quantitative Susceptibility Mapping to Assist the Diagnosis of Idiopathic Parkinson's Disease

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2. A more objective PD diagnostic model: integrating texture feature markers of cerebellar gray matter and white matter through machine learning;Frontiers in Aging Neuroscience;2024-06-07

3. Parkinson's disease and Parkinsonism syndromes: Evaluating iron deposition in the putamen using magnetic susceptibility MRI techniques - A systematic review and literature analysis;Heliyon;2024-04

4. Brain disease research based on functional magnetic resonance imaging data and machine learning: a review;Frontiers in Neuroscience;2023-08-17

5. The differential diagnosis value of radiomics-based machine learning in Parkinson’s disease: a systematic review and meta-analysis;Frontiers in Aging Neuroscience;2023-07-06

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