ORIGINAL RESEARCH article
Front. Aging Neurosci.
Sec. Parkinson’s Disease and Aging-related Movement Disorders
Volume 17 - 2025 | doi: 10.3389/fnagi.2025.1602245
This article is part of the Research TopicParkinson Disease: Current findings and challenges in diagnosing and treating motor and non-motor symptomsView all articles
Evaluation of non-motor symptoms in Parkinson's Disease Using Multiparametric MRI with the MULTIPLEX Sequence
Provisionally accepted
- 1China-Japan Union Hospital, Jilin University, Changchun, China
- 2Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China
- 3United Imaging Research Institute of Intelligent Imaging, Beijing, China
- 4United Imaging Research, Shanghai, China
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BackgroundNon-motor symptoms (NMS) in Parkinson's disease (PD) often precede motor manifestations and are challenging to detect with conventional MRI. This study investigates the use of the Multi-Flip-Angle and Multi-Echo Gradient Echo Sequence (MULTIPLEX) in MRI to detect previously undetectable microstructural changes in brain tissue associated with NMS in PD.MethodsA prospective study was conducted on 37 patients diagnosed with PD. Anxiety and depression levels were assessed using the Hamilton Anxiety Scale (HAMA) and Hamilton Depression Scale (HAMD), respectively. MRI techniques, including 3D T1-weighted imaging (3D T1WI) and MULTIPLEX - which encompasses T2*-mapping, T1-mapping, proton density-mapping, and quantitative susceptibility mapping (QSM) - were performed. Brain subregions were automatically segmented using deep learning, and their volume and quantitative parameters were correlated with NMS-related assessment scales using Spearman's rank correlation coefficient.Results Correlations were observed between QSM and T2* values of certain subregions within the left frontal and bilateral temporal lobes and both anxiety and depression (absolute r-values ranging from 0.358 to 0.480, p < 0.05). Additionally, volume measurements of regions within the bilateral frontal, temporal, and insular lobes exhibited negative correlations with anxiety and depression (absolute r-values ranging from 0.354 to 0.658, p < 0.05). In T1-mapping and proton density-mapping, no specific brain regions were found to be significantly associated with the NMS of PD under investigation. ConclusionsQuantitative parameters derived from MULTIPLEX MRI show significant associations with clinical evaluations of NMS in PD. Multiparametric MR neuroimaging may serve as a potential early diagnostic tool for PD.
Keywords: Parkinson's disease, non-motor symptoms, Quantitative MRI analysis, brain segmentation, Early diagnosis reasonable request Parkinson's disease, early diagnosis
Received: 29 Mar 2025; Accepted: 25 Jun 2025.
Copyright: © 2025 Sui, Mo, Shi, Zhou, Yu, Wang and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Lin Liu, China-Japan Union Hospital, Jilin University, Changchun, China
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