Altered dynamic functional network connectivity in drug-naïve Parkinson’s disease patients with excessive daytime sleepiness
BackgroundExcessive daytime sleepiness (EDS) is a frequent nonmotor symptoms of Parkinson’s disease (PD), which seriously affects the quality of life of PD patients and exacerbates other nonmotor symptoms. Previous studies have used static analyses of these resting-state functional magnetic resonanc...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-12-01
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| Series: | Frontiers in Aging Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2023.1282962/full |
| _version_ | 1797403354392952832 |
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| author | Zhiyi Tan Qiaoling Zeng Xuehan Hu Duoduo Di Lele Chen Zhijian Lin Guanxun Cheng |
| author_facet | Zhiyi Tan Qiaoling Zeng Xuehan Hu Duoduo Di Lele Chen Zhijian Lin Guanxun Cheng |
| author_sort | Zhiyi Tan |
| collection | DOAJ |
| description | BackgroundExcessive daytime sleepiness (EDS) is a frequent nonmotor symptoms of Parkinson’s disease (PD), which seriously affects the quality of life of PD patients and exacerbates other nonmotor symptoms. Previous studies have used static analyses of these resting-state functional magnetic resonance imaging (rs-fMRI) data were measured under the assumption that the intrinsic fluctuations during MRI scans are stationary. However, dynamic functional network connectivity (dFNC) analysis captures time-varying connectivity over short time scales and may reveal complex functional tissues in the brain.PurposeTo identify dynamic functional connectivity characteristics in PD-EDS patients in order to explain the underlying neuropathological mechanisms.MethodsBased on rs-fMRI data from 16 PD patients with EDS and 41 PD patients without EDS, we applied the sliding window approach, k-means clustering and independent component analysis to estimate the inherent dynamic connectivity states associated with EDS in PD patients and investigated the differences between groups. Furthermore, to assess the correlations between the altered temporal properties and the Epworth sleepiness scale (ESS) scores.ResultsWe found four distinct functional connectivity states in PD patients. The patients in the PD-EDS group showed increased fractional time and mean dwell time in state IV, which was characterized by strong connectivity in the sensorimotor (SMN) and visual (VIS) networks, and reduced fractional time in state I, which was characterized by strong positive connectivity intranetwork of the default mode network (DMN) and VIS, while negative connectivity internetwork between the DMN and VIS. Moreover, the ESS scores were positively correlated with fraction time in state IV.ConclusionOur results indicated that the strong connectivity within and between the SMN and VIS was characteristic of EDS in PD patients, which may be a potential marker of pathophysiological features related to EDS in PD patients. |
| first_indexed | 2024-03-09T02:37:33Z |
| format | Article |
| id | doaj.art-8228457a2ae740d393225042f76abb04 |
| institution | Directory Open Access Journal |
| issn | 1663-4365 |
| language | English |
| last_indexed | 2024-03-09T02:37:33Z |
| publishDate | 2023-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj.art-8228457a2ae740d393225042f76abb042023-12-06T08:22:50ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652023-12-011510.3389/fnagi.2023.12829621282962Altered dynamic functional network connectivity in drug-naïve Parkinson’s disease patients with excessive daytime sleepinessZhiyi Tan0Qiaoling Zeng1Xuehan Hu2Duoduo Di3Lele Chen4Zhijian Lin5Guanxun Cheng6Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, ChinaDepartment of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, ChinaDepartment of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, ChinaDepartment of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, ChinaDepartment of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, ChinaDepartment of Neurology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, ChinaDepartment of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, ChinaBackgroundExcessive daytime sleepiness (EDS) is a frequent nonmotor symptoms of Parkinson’s disease (PD), which seriously affects the quality of life of PD patients and exacerbates other nonmotor symptoms. Previous studies have used static analyses of these resting-state functional magnetic resonance imaging (rs-fMRI) data were measured under the assumption that the intrinsic fluctuations during MRI scans are stationary. However, dynamic functional network connectivity (dFNC) analysis captures time-varying connectivity over short time scales and may reveal complex functional tissues in the brain.PurposeTo identify dynamic functional connectivity characteristics in PD-EDS patients in order to explain the underlying neuropathological mechanisms.MethodsBased on rs-fMRI data from 16 PD patients with EDS and 41 PD patients without EDS, we applied the sliding window approach, k-means clustering and independent component analysis to estimate the inherent dynamic connectivity states associated with EDS in PD patients and investigated the differences between groups. Furthermore, to assess the correlations between the altered temporal properties and the Epworth sleepiness scale (ESS) scores.ResultsWe found four distinct functional connectivity states in PD patients. The patients in the PD-EDS group showed increased fractional time and mean dwell time in state IV, which was characterized by strong connectivity in the sensorimotor (SMN) and visual (VIS) networks, and reduced fractional time in state I, which was characterized by strong positive connectivity intranetwork of the default mode network (DMN) and VIS, while negative connectivity internetwork between the DMN and VIS. Moreover, the ESS scores were positively correlated with fraction time in state IV.ConclusionOur results indicated that the strong connectivity within and between the SMN and VIS was characteristic of EDS in PD patients, which may be a potential marker of pathophysiological features related to EDS in PD patients.https://www.frontiersin.org/articles/10.3389/fnagi.2023.1282962/fullParkinson’s diseaseexcessive daytime sleepinessresting-state functional magnetic resonance imagingdynamic functional brain connectivityneural network |
| spellingShingle | Zhiyi Tan Qiaoling Zeng Xuehan Hu Duoduo Di Lele Chen Zhijian Lin Guanxun Cheng Altered dynamic functional network connectivity in drug-naïve Parkinson’s disease patients with excessive daytime sleepiness Frontiers in Aging Neuroscience Parkinson’s disease excessive daytime sleepiness resting-state functional magnetic resonance imaging dynamic functional brain connectivity neural network |
| title | Altered dynamic functional network connectivity in drug-naïve Parkinson’s disease patients with excessive daytime sleepiness |
| title_full | Altered dynamic functional network connectivity in drug-naïve Parkinson’s disease patients with excessive daytime sleepiness |
| title_fullStr | Altered dynamic functional network connectivity in drug-naïve Parkinson’s disease patients with excessive daytime sleepiness |
| title_full_unstemmed | Altered dynamic functional network connectivity in drug-naïve Parkinson’s disease patients with excessive daytime sleepiness |
| title_short | Altered dynamic functional network connectivity in drug-naïve Parkinson’s disease patients with excessive daytime sleepiness |
| title_sort | altered dynamic functional network connectivity in drug naive parkinson s disease patients with excessive daytime sleepiness |
| topic | Parkinson’s disease excessive daytime sleepiness resting-state functional magnetic resonance imaging dynamic functional brain connectivity neural network |
| url | https://www.frontiersin.org/articles/10.3389/fnagi.2023.1282962/full |
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