Abnormal dynamic functional network connectivity in male obstructive sleep apnea with mild cognitive impairment: A data-driven functional magnetic resonance imaging study
ObjectiveThe purpose of this study was to investigate the dynamic functional network connectivity (FNC) and its relationship with cognitive function in obstructive sleep apnea (OSA) patients from normal cognition (OSA-NC) to mild cognitive impairment (OSA-MCI).Materials and methodsEighty-two male OS...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Aging Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2022.977917/full |
| _version_ | 1811234494107090944 |
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| author | Haijun Li Haijun Li Lan Li Kunyao Li Panmei Li Wei Xie Yaping Zeng Linghong Kong Ting Long Ling Huang Xiang Liu Yongqiang Shu Li Zeng Dechang Peng Dechang Peng |
| author_facet | Haijun Li Haijun Li Lan Li Kunyao Li Panmei Li Wei Xie Yaping Zeng Linghong Kong Ting Long Ling Huang Xiang Liu Yongqiang Shu Li Zeng Dechang Peng Dechang Peng |
| author_sort | Haijun Li |
| collection | DOAJ |
| description | ObjectiveThe purpose of this study was to investigate the dynamic functional network connectivity (FNC) and its relationship with cognitive function in obstructive sleep apnea (OSA) patients from normal cognition (OSA-NC) to mild cognitive impairment (OSA-MCI).Materials and methodsEighty-two male OSA patients and 48 male healthy controls (HC) were included in this study. OSA patients were classified to OSA-MCI (n = 41) and OSA-NC (n = 41) based on cognitive assessments. The independent component analysis was used to determine resting-state functional networks. Then, a sliding-window approach was used to construct the dynamic FNC, and differences in temporal properties of dynamic FNC and functional connectivity strength were compared between OSA patients and the HC. Furthermore, the relationship between temporal properties and clinical assessments were analyzed in OSA patients.ResultsTwo different connectivity states were identified, namely, State I with stronger connectivity and lower frequency, and State II with lower connectivity and relatively higher frequency. Compared to HC, OSA patients had a longer mean dwell time and higher fractional window in stronger connectivity State I, and opposite result were found in State II, which was mainly reflected in OSA-MCI patients. The number of transitions was an increasing trend and positively correlated with cognitive assessment in OSA-MCI patients. Compared with HC, OSA patients showed extensive abnormal functional connectivity in stronger connected State I and less reduced functional connectivity in lower connected State II, which were mainly located in the salience network, default mode network, and executive control network.ConclusionOur study found that OSA patients showed abnormal dynamic FNC properties, which was a continuous trend from HC, and OSA-NC to OSA-MCI, and OSA patients showed abnormal dynamic functional connectivity strength. The number of transformations was associated with cognitive impairment in OSA-MCI patients, which may provide new insights into the neural mechanisms in OSA patients. |
| first_indexed | 2024-04-12T11:37:13Z |
| format | Article |
| id | doaj.art-233ce33a82dd4dfd8375ba08be6054a4 |
| institution | Directory Open Access Journal |
| issn | 1663-4365 |
| language | English |
| last_indexed | 2024-04-12T11:37:13Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj.art-233ce33a82dd4dfd8375ba08be6054a42022-12-22T03:34:47ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652022-10-011410.3389/fnagi.2022.977917977917Abnormal dynamic functional network connectivity in male obstructive sleep apnea with mild cognitive impairment: A data-driven functional magnetic resonance imaging studyHaijun Li0Haijun Li1Lan Li2Kunyao Li3Panmei Li4Wei Xie5Yaping Zeng6Linghong Kong7Ting Long8Ling Huang9Xiang Liu10Yongqiang Shu11Li Zeng12Dechang Peng13Dechang Peng14Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaPET Center, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaDepartment of Infection Management, Jiangxi Provincial Maternal and Child Health Hospital, Nanchang, ChinaMedical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaMedical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaMedical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaMedical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaMedical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaMedical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaMedical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaMedical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaMedical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaMedical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaMedical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaPET Center, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaObjectiveThe purpose of this study was to investigate the dynamic functional network connectivity (FNC) and its relationship with cognitive function in obstructive sleep apnea (OSA) patients from normal cognition (OSA-NC) to mild cognitive impairment (OSA-MCI).Materials and methodsEighty-two male OSA patients and 48 male healthy controls (HC) were included in this study. OSA patients were classified to OSA-MCI (n = 41) and OSA-NC (n = 41) based on cognitive assessments. The independent component analysis was used to determine resting-state functional networks. Then, a sliding-window approach was used to construct the dynamic FNC, and differences in temporal properties of dynamic FNC and functional connectivity strength were compared between OSA patients and the HC. Furthermore, the relationship between temporal properties and clinical assessments were analyzed in OSA patients.ResultsTwo different connectivity states were identified, namely, State I with stronger connectivity and lower frequency, and State II with lower connectivity and relatively higher frequency. Compared to HC, OSA patients had a longer mean dwell time and higher fractional window in stronger connectivity State I, and opposite result were found in State II, which was mainly reflected in OSA-MCI patients. The number of transitions was an increasing trend and positively correlated with cognitive assessment in OSA-MCI patients. Compared with HC, OSA patients showed extensive abnormal functional connectivity in stronger connected State I and less reduced functional connectivity in lower connected State II, which were mainly located in the salience network, default mode network, and executive control network.ConclusionOur study found that OSA patients showed abnormal dynamic FNC properties, which was a continuous trend from HC, and OSA-NC to OSA-MCI, and OSA patients showed abnormal dynamic functional connectivity strength. The number of transformations was associated with cognitive impairment in OSA-MCI patients, which may provide new insights into the neural mechanisms in OSA patients.https://www.frontiersin.org/articles/10.3389/fnagi.2022.977917/fullobstructive sleep apneadynamic functional connectivitymild cognitive impairmentindependent component analysisbrain network |
| spellingShingle | Haijun Li Haijun Li Lan Li Kunyao Li Panmei Li Wei Xie Yaping Zeng Linghong Kong Ting Long Ling Huang Xiang Liu Yongqiang Shu Li Zeng Dechang Peng Dechang Peng Abnormal dynamic functional network connectivity in male obstructive sleep apnea with mild cognitive impairment: A data-driven functional magnetic resonance imaging study Frontiers in Aging Neuroscience obstructive sleep apnea dynamic functional connectivity mild cognitive impairment independent component analysis brain network |
| title | Abnormal dynamic functional network connectivity in male obstructive sleep apnea with mild cognitive impairment: A data-driven functional magnetic resonance imaging study |
| title_full | Abnormal dynamic functional network connectivity in male obstructive sleep apnea with mild cognitive impairment: A data-driven functional magnetic resonance imaging study |
| title_fullStr | Abnormal dynamic functional network connectivity in male obstructive sleep apnea with mild cognitive impairment: A data-driven functional magnetic resonance imaging study |
| title_full_unstemmed | Abnormal dynamic functional network connectivity in male obstructive sleep apnea with mild cognitive impairment: A data-driven functional magnetic resonance imaging study |
| title_short | Abnormal dynamic functional network connectivity in male obstructive sleep apnea with mild cognitive impairment: A data-driven functional magnetic resonance imaging study |
| title_sort | abnormal dynamic functional network connectivity in male obstructive sleep apnea with mild cognitive impairment a data driven functional magnetic resonance imaging study |
| topic | obstructive sleep apnea dynamic functional connectivity mild cognitive impairment independent component analysis brain network |
| url | https://www.frontiersin.org/articles/10.3389/fnagi.2022.977917/full |
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