The Characteristics of Tremor Motion Help Identify Parkinson's Disease and Multiple System Atrophy
Background/Objectives: Distinguishing between Parkinson's disease (PD) and multiple system atrophy (MSA) is challenging in the clinic because patients with these two conditions present with similar symptoms in motor dysfunction. Here, we aimed to determine whether tremor characteristics can ser...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-07-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fneur.2020.00540/full |
| _version_ | 1818873941180022784 |
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| author | Dongning Su Dongning Su Shuo Yang Shuo Yang Wanli Hu Dongxu Wang Dongxu Wang Wenyi Kou Wenyi Kou Zhu Liu Zhu Liu Xuemei Wang Xuemei Wang Ying Wang Ying Wang Huizi Ma Huizi Ma Yunpeng Sui Yunpeng Sui Junhong Zhou Junhong Zhou Junhong Zhou Junhong Zhou Hua Pan Hua Pan Tao Feng Tao Feng |
| author_facet | Dongning Su Dongning Su Shuo Yang Shuo Yang Wanli Hu Dongxu Wang Dongxu Wang Wenyi Kou Wenyi Kou Zhu Liu Zhu Liu Xuemei Wang Xuemei Wang Ying Wang Ying Wang Huizi Ma Huizi Ma Yunpeng Sui Yunpeng Sui Junhong Zhou Junhong Zhou Junhong Zhou Junhong Zhou Hua Pan Hua Pan Tao Feng Tao Feng |
| author_sort | Dongning Su |
| collection | DOAJ |
| description | Background/Objectives: Distinguishing between Parkinson's disease (PD) and multiple system atrophy (MSA) is challenging in the clinic because patients with these two conditions present with similar symptoms in motor dysfunction. Here, we aimed to determine whether tremor characteristics can serve as novel markers for distinguishing the two conditions.Methods: Ninety-one subjects with clinically diagnosed PD and 93 subjects with MSA were included. Tremor of the limbs was measured in different conditions (such as resting, postural, and weight-holding) using electromyography (EMG) surface electrodes and accelerometers. The dominant frequency, tremor occurrence rate, and harmonic occurrence rate (HOR) of the tremor were then calculated.Results: Our results demonstrated that the tremor dominant frequency in the upper limbs of the MSA group was significantly higher than that in the PD group across all resting (F = 5.717, p = 0.023), postural (F = 13.409, p < 0.001), and weight-holding conditions (F = 9.491, p < 0.001) and that it was not dependent on the patient's age or disease course. The tremor occurrence rate (75.6 vs. 14.9%, χ2 = 68.487, p < 0.001) and HOR (75.0 vs. 4.5%, χ2 = 46.619, p < 0.001) in the resting condition were significantly lower in the MSA group than in the PD group. The sensitivity of the harmonic for PD diagnosis was 75.0% and the specificity was relatively high, in some cases up to 95.5%. The PPV and NPV were 95.2 and 75.9%, respectively.Conclusion: Our study confirmed that several tremor characteristics, including the dominant tremor frequency and the occurrence rate in different conditions, help detect PD and MSA. The presence of harmonics may serve as a novel marker to help distinguish PD from MSA with high sensitivity and specificity. |
| first_indexed | 2024-12-19T13:02:42Z |
| format | Article |
| id | doaj.art-bddf02e495a6467d8f59da78108247d6 |
| institution | Directory Open Access Journal |
| issn | 1664-2295 |
| language | English |
| last_indexed | 2024-12-19T13:02:42Z |
| publishDate | 2020-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj.art-bddf02e495a6467d8f59da78108247d62022-12-21T20:20:11ZengFrontiers Media S.A.Frontiers in Neurology1664-22952020-07-011110.3389/fneur.2020.00540488029The Characteristics of Tremor Motion Help Identify Parkinson's Disease and Multiple System AtrophyDongning Su0Dongning Su1Shuo Yang2Shuo Yang3Wanli Hu4Dongxu Wang5Dongxu Wang6Wenyi Kou7Wenyi Kou8Zhu Liu9Zhu Liu10Xuemei Wang11Xuemei Wang12Ying Wang13Ying Wang14Huizi Ma15Huizi Ma16Yunpeng Sui17Yunpeng Sui18Junhong Zhou19Junhong Zhou20Junhong Zhou21Junhong Zhou22Hua Pan23Hua Pan24Tao Feng25Tao Feng26Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaChina National Clinical Research Center for Neurological Diseases, Beijing, ChinaDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaChina National Clinical Research Center for Neurological Diseases, Beijing, ChinaDepartment of Hematology and Oncology, Jingxi Campus, Beijing ChaoYang Hospital, Capital Medical University, Beijing, ChinaDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaChina National Clinical Research Center for Neurological Diseases, Beijing, ChinaDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaChina National Clinical Research Center for Neurological Diseases, Beijing, ChinaDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaChina National Clinical Research Center for Neurological Diseases, Beijing, ChinaDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaChina National Clinical Research Center for Neurological Diseases, Beijing, ChinaDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaChina National Clinical Research Center for Neurological Diseases, Beijing, ChinaDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaChina National Clinical Research Center for Neurological Diseases, Beijing, ChinaDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaChina National Clinical Research Center for Neurological Diseases, Beijing, ChinaDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaChina National Clinical Research Center for Neurological Diseases, Beijing, ChinaHinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Roslindale, MA, United StatesHinda and Arthur Marcus Institute for Aging Research, Harvard Medical School, Boston, MA, United StatesDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaChina National Clinical Research Center for Neurological Diseases, Beijing, ChinaDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaChina National Clinical Research Center for Neurological Diseases, Beijing, ChinaBackground/Objectives: Distinguishing between Parkinson's disease (PD) and multiple system atrophy (MSA) is challenging in the clinic because patients with these two conditions present with similar symptoms in motor dysfunction. Here, we aimed to determine whether tremor characteristics can serve as novel markers for distinguishing the two conditions.Methods: Ninety-one subjects with clinically diagnosed PD and 93 subjects with MSA were included. Tremor of the limbs was measured in different conditions (such as resting, postural, and weight-holding) using electromyography (EMG) surface electrodes and accelerometers. The dominant frequency, tremor occurrence rate, and harmonic occurrence rate (HOR) of the tremor were then calculated.Results: Our results demonstrated that the tremor dominant frequency in the upper limbs of the MSA group was significantly higher than that in the PD group across all resting (F = 5.717, p = 0.023), postural (F = 13.409, p < 0.001), and weight-holding conditions (F = 9.491, p < 0.001) and that it was not dependent on the patient's age or disease course. The tremor occurrence rate (75.6 vs. 14.9%, χ2 = 68.487, p < 0.001) and HOR (75.0 vs. 4.5%, χ2 = 46.619, p < 0.001) in the resting condition were significantly lower in the MSA group than in the PD group. The sensitivity of the harmonic for PD diagnosis was 75.0% and the specificity was relatively high, in some cases up to 95.5%. The PPV and NPV were 95.2 and 75.9%, respectively.Conclusion: Our study confirmed that several tremor characteristics, including the dominant tremor frequency and the occurrence rate in different conditions, help detect PD and MSA. The presence of harmonics may serve as a novel marker to help distinguish PD from MSA with high sensitivity and specificity.https://www.frontiersin.org/article/10.3389/fneur.2020.00540/fullparkinson's diseasemultiple system atrophytremordiagnosisharmonics |
| spellingShingle | Dongning Su Dongning Su Shuo Yang Shuo Yang Wanli Hu Dongxu Wang Dongxu Wang Wenyi Kou Wenyi Kou Zhu Liu Zhu Liu Xuemei Wang Xuemei Wang Ying Wang Ying Wang Huizi Ma Huizi Ma Yunpeng Sui Yunpeng Sui Junhong Zhou Junhong Zhou Junhong Zhou Junhong Zhou Hua Pan Hua Pan Tao Feng Tao Feng The Characteristics of Tremor Motion Help Identify Parkinson's Disease and Multiple System Atrophy Frontiers in Neurology parkinson's disease multiple system atrophy tremor diagnosis harmonics |
| title | The Characteristics of Tremor Motion Help Identify Parkinson's Disease and Multiple System Atrophy |
| title_full | The Characteristics of Tremor Motion Help Identify Parkinson's Disease and Multiple System Atrophy |
| title_fullStr | The Characteristics of Tremor Motion Help Identify Parkinson's Disease and Multiple System Atrophy |
| title_full_unstemmed | The Characteristics of Tremor Motion Help Identify Parkinson's Disease and Multiple System Atrophy |
| title_short | The Characteristics of Tremor Motion Help Identify Parkinson's Disease and Multiple System Atrophy |
| title_sort | characteristics of tremor motion help identify parkinson s disease and multiple system atrophy |
| topic | parkinson's disease multiple system atrophy tremor diagnosis harmonics |
| url | https://www.frontiersin.org/article/10.3389/fneur.2020.00540/full |
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