Evaluation of non-motor symptoms in Parkinson’s disease using multiparametric MRI with the multiplex sequence
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 mi...
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| Format: | Article |
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Frontiers Media S.A.
2025-07-01
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| Series: | Frontiers in Aging Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2025.1602245/full |
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| author | He Sui Zhanhao Mo Feng Shi Qing Zhou Dan Yu Jiaqi Wang Lin Liu |
| author_facet | He Sui Zhanhao Mo Feng Shi Qing Zhou Dan Yu Jiaqi Wang Lin Liu |
| author_sort | He Sui |
| collection | DOAJ |
| description | 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.ResultsCorrelations 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.ConclusionQuantitative 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. |
| format | Article |
| id | doaj-art-9a3b2d69fa5a43299834476989c6ffb7 |
| institution | Kabale University |
| issn | 1663-4365 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj-art-9a3b2d69fa5a43299834476989c6ffb72025-08-20T03:27:43ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652025-07-011710.3389/fnagi.2025.16022451602245Evaluation of non-motor symptoms in Parkinson’s disease using multiparametric MRI with the multiplex sequenceHe Sui0Zhanhao Mo1Feng Shi2Qing Zhou3Dan Yu4Jiaqi Wang5Lin Liu6China-Japan Union Hospital of Jilin University, Changchun, ChinaChina-Japan Union Hospital of Jilin University, Changchun, ChinaShanghai United Imaging Intelligence Co., Ltd., Shanghai, ChinaShanghai United Imaging Intelligence Co., Ltd., Shanghai, ChinaUnited Imaging Research Institute of Intelligent Imaging, Beijing, ChinaUnited Imaging Research, Shanghai, ChinaChina-Japan Union Hospital of Jilin University, Changchun, ChinaBackgroundNon-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.ResultsCorrelations 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.ConclusionQuantitative 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.https://www.frontiersin.org/articles/10.3389/fnagi.2025.1602245/fullParkinson’s diseasenon-motor symptomsquantitative MRI analysisbrain segmentationearly diagnosis |
| spellingShingle | He Sui Zhanhao Mo Feng Shi Qing Zhou Dan Yu Jiaqi Wang Lin Liu Evaluation of non-motor symptoms in Parkinson’s disease using multiparametric MRI with the multiplex sequence Frontiers in Aging Neuroscience Parkinson’s disease non-motor symptoms quantitative MRI analysis brain segmentation early diagnosis |
| title | Evaluation of non-motor symptoms in Parkinson’s disease using multiparametric MRI with the multiplex sequence |
| title_full | Evaluation of non-motor symptoms in Parkinson’s disease using multiparametric MRI with the multiplex sequence |
| title_fullStr | Evaluation of non-motor symptoms in Parkinson’s disease using multiparametric MRI with the multiplex sequence |
| title_full_unstemmed | Evaluation of non-motor symptoms in Parkinson’s disease using multiparametric MRI with the multiplex sequence |
| title_short | Evaluation of non-motor symptoms in Parkinson’s disease using multiparametric MRI with the multiplex sequence |
| title_sort | evaluation of non motor symptoms in parkinson s disease using multiparametric mri with the multiplex sequence |
| topic | Parkinson’s disease non-motor symptoms quantitative MRI analysis brain segmentation early diagnosis |
| url | https://www.frontiersin.org/articles/10.3389/fnagi.2025.1602245/full |
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