Static and dynamic brain functional connectivity patterns in patients with unilateral moderate-to-severe asymptomatic carotid stenosis
Background and purposeAsymptomatic carotid stenosis (ACS) is an independent risk factor for ischemic stroke and vascular cognitive impairment, affecting cognitive function across multiple domains. This study aimed to explore differences in static and dynamic intrinsic functional connectivity and tem...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Aging Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2024.1497874/full |
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| author | Junjun Wang Junjun Wang Linfeng Song Binlin Tian Li Yang Xiaoyu Gu Xu Chen Lei Gao Lin Jiang |
| author_facet | Junjun Wang Junjun Wang Linfeng Song Binlin Tian Li Yang Xiaoyu Gu Xu Chen Lei Gao Lin Jiang |
| author_sort | Junjun Wang |
| collection | DOAJ |
| description | Background and purposeAsymptomatic carotid stenosis (ACS) is an independent risk factor for ischemic stroke and vascular cognitive impairment, affecting cognitive function across multiple domains. This study aimed to explore differences in static and dynamic intrinsic functional connectivity and temporal dynamics between patients with ACS and those without carotid stenosis.MethodsWe recruited 30 patients with unilateral moderate-to-severe (stenosis ≥ 50%) ACS and 30 demographically-matched healthy controls. All participants underwent neuropsychological testing and 3.0T brain MRI scans. Resting-state functional MRI (rs-fMRI) was used to calculate both static and dynamic functional connectivity. Dynamic independent component analysis (dICA) was employed to extract independent circuits/networks and to detect time-frequency modulation at the circuit level. Further imaging-behavior associations identified static and dynamic functional connectivity patterns that reflect cognitive decline.ResultsACS patients showed altered functional connectivity in multiple brain regions and networks compared to controls. Increased connectivity was observed in the inferior parietal lobule, frontal lobe, and temporal lobe. dICA further revealed changes in the temporal frequency of connectivity in the salience network. Significant differences in the temporal variability of connectivity were found in the fronto-parietal network, dorsal attention network, sensory-motor network, language network, and visual network. The temporal parameters of these brain networks were also related to overall cognition and memory.ConclusionsThese results suggest that ACS involves not only changes in the static large-scale brain network connectivity but also dynamic temporal variations, which parallel overall cognition and memory recall. |
| format | Article |
| id | doaj-art-6c997dead77c4f6eb0472a0dcae65396 |
| institution | Kabale University |
| issn | 1663-4365 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj-art-6c997dead77c4f6eb0472a0dcae653962025-01-15T06:10:52ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652025-01-011610.3389/fnagi.2024.14978741497874Static and dynamic brain functional connectivity patterns in patients with unilateral moderate-to-severe asymptomatic carotid stenosisJunjun Wang0Junjun Wang1Linfeng Song2Binlin Tian3Li Yang4Xiaoyu Gu5Xu Chen6Lei Gao7Lin Jiang8Department of Radiology, The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, Guizhou, ChinaDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, ChinaDepartment of Radiology, The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, Guizhou, ChinaDepartment of Radiology, The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, Guizhou, ChinaDepartment of Radiology, The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, Guizhou, ChinaDepartment of Radiology, The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, Guizhou, ChinaDepartment of Radiology, The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, Guizhou, ChinaDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, ChinaDepartment of Radiology, The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, Guizhou, ChinaBackground and purposeAsymptomatic carotid stenosis (ACS) is an independent risk factor for ischemic stroke and vascular cognitive impairment, affecting cognitive function across multiple domains. This study aimed to explore differences in static and dynamic intrinsic functional connectivity and temporal dynamics between patients with ACS and those without carotid stenosis.MethodsWe recruited 30 patients with unilateral moderate-to-severe (stenosis ≥ 50%) ACS and 30 demographically-matched healthy controls. All participants underwent neuropsychological testing and 3.0T brain MRI scans. Resting-state functional MRI (rs-fMRI) was used to calculate both static and dynamic functional connectivity. Dynamic independent component analysis (dICA) was employed to extract independent circuits/networks and to detect time-frequency modulation at the circuit level. Further imaging-behavior associations identified static and dynamic functional connectivity patterns that reflect cognitive decline.ResultsACS patients showed altered functional connectivity in multiple brain regions and networks compared to controls. Increased connectivity was observed in the inferior parietal lobule, frontal lobe, and temporal lobe. dICA further revealed changes in the temporal frequency of connectivity in the salience network. Significant differences in the temporal variability of connectivity were found in the fronto-parietal network, dorsal attention network, sensory-motor network, language network, and visual network. The temporal parameters of these brain networks were also related to overall cognition and memory.ConclusionsThese results suggest that ACS involves not only changes in the static large-scale brain network connectivity but also dynamic temporal variations, which parallel overall cognition and memory recall.https://www.frontiersin.org/articles/10.3389/fnagi.2024.1497874/fullcarotid stenosisfMRIdynamic functional connectivityfunctional connectivitydynamic independent component analysis |
| spellingShingle | Junjun Wang Junjun Wang Linfeng Song Binlin Tian Li Yang Xiaoyu Gu Xu Chen Lei Gao Lin Jiang Static and dynamic brain functional connectivity patterns in patients with unilateral moderate-to-severe asymptomatic carotid stenosis Frontiers in Aging Neuroscience carotid stenosis fMRI dynamic functional connectivity functional connectivity dynamic independent component analysis |
| title | Static and dynamic brain functional connectivity patterns in patients with unilateral moderate-to-severe asymptomatic carotid stenosis |
| title_full | Static and dynamic brain functional connectivity patterns in patients with unilateral moderate-to-severe asymptomatic carotid stenosis |
| title_fullStr | Static and dynamic brain functional connectivity patterns in patients with unilateral moderate-to-severe asymptomatic carotid stenosis |
| title_full_unstemmed | Static and dynamic brain functional connectivity patterns in patients with unilateral moderate-to-severe asymptomatic carotid stenosis |
| title_short | Static and dynamic brain functional connectivity patterns in patients with unilateral moderate-to-severe asymptomatic carotid stenosis |
| title_sort | static and dynamic brain functional connectivity patterns in patients with unilateral moderate to severe asymptomatic carotid stenosis |
| topic | carotid stenosis fMRI dynamic functional connectivity functional connectivity dynamic independent component analysis |
| url | https://www.frontiersin.org/articles/10.3389/fnagi.2024.1497874/full |
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