Dynamic brain activity states of memory impairment in stroke patients with varying motor outcomes
IntroductionThe objective of this study was to characterize the alteration patterns of dynamic spatiotemporal activity in chronic subcortical stroke patients with varying motor outcomes, while investigating the imaging indicators relevant to the assessment of potential cognitive deficits in these pa...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-11-01
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| Series: | Frontiers in Aging Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2023.1294009/full |
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| author | Caihong Wang Caihong Wang Caihong Wang Jingchun Liu Jun Guo Shaoqiang Han Shaoqiang Han Shaoqiang Han Peifang Miao Peifang Miao Peifang Miao Ying Wei Ying Wei Ying Wei Yingying Wang Yingying Wang Yingying Wang Xin Wang Xin Wang Xin Wang Zhen Li Kangkang Xue Kangkang Xue Kangkang Xue Kaiyu Wang Jingliang Cheng Jingliang Cheng Jingliang Cheng |
| author_facet | Caihong Wang Caihong Wang Caihong Wang Jingchun Liu Jun Guo Shaoqiang Han Shaoqiang Han Shaoqiang Han Peifang Miao Peifang Miao Peifang Miao Ying Wei Ying Wei Ying Wei Yingying Wang Yingying Wang Yingying Wang Xin Wang Xin Wang Xin Wang Zhen Li Kangkang Xue Kangkang Xue Kangkang Xue Kaiyu Wang Jingliang Cheng Jingliang Cheng Jingliang Cheng |
| author_sort | Caihong Wang |
| collection | DOAJ |
| description | IntroductionThe objective of this study was to characterize the alteration patterns of dynamic spatiotemporal activity in chronic subcortical stroke patients with varying motor outcomes, while investigating the imaging indicators relevant to the assessment of potential cognitive deficits in these patients.MethodsA total of 136 patients and 88 normal controls were included in the analysis of static and dynamic intrinsic brain activity, determined by amplitude of low-frequency fluctuations.ResultsThe findings unveiled that subcortical stroke patients exhibited significantly aberrant temporal dynamics of intrinsic brain activity, involving regions within multiple brain networks. These spatiotemporal patterns were found to be contingent upon the side of the lesion. In addition, these aberrant metrics demonstrated potential in discerning cognitive deficits in stroke patients with memory impairment, with the dynamic indices exerting more influence than the static ones. The observe findings may indicate that subcortical stroke can trigger imbalances in the segregation and integration of spatiotemporal patterns across the entire brain with multi-domain networks, especially in patients with poor motor outcomes.ConclusionIt suggests that the temporal dynamics indices of intrinsic brain activity could serve as potential imaging indicators for assessing cognitive impairment in patients with chronic subcortical stroke, which may be associated with the motor outcomes. |
| first_indexed | 2024-03-11T06:29:44Z |
| format | Article |
| id | doaj.art-18be716d7ef5431aba67cab02d5047f7 |
| institution | Directory Open Access Journal |
| issn | 1663-4365 |
| language | English |
| last_indexed | 2024-03-11T06:29:44Z |
| publishDate | 2023-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj.art-18be716d7ef5431aba67cab02d5047f72023-11-17T11:15:01ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652023-11-011510.3389/fnagi.2023.12940091294009Dynamic brain activity states of memory impairment in stroke patients with varying motor outcomesCaihong Wang0Caihong Wang1Caihong Wang2Jingchun Liu3Jun Guo4Shaoqiang Han5Shaoqiang Han6Shaoqiang Han7Peifang Miao8Peifang Miao9Peifang Miao10Ying Wei11Ying Wei12Ying Wei13Yingying Wang14Yingying Wang15Yingying Wang16Xin Wang17Xin Wang18Xin Wang19Zhen Li20Kangkang Xue21Kangkang Xue22Kangkang Xue23Kaiyu Wang24Jingliang Cheng25Jingliang Cheng26Jingliang Cheng27Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, ChinaEngineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, Henan, ChinaEngineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, Henan, ChinaDepartment of Radiology, Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, ChinaDepartment of Radiology, Tianjin Huanhu Hospital, Tianjin, ChinaDepartment of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, ChinaEngineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, Henan, ChinaEngineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, Henan, ChinaDepartment of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, ChinaEngineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, Henan, ChinaEngineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, Henan, ChinaDepartment of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, ChinaEngineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, Henan, ChinaEngineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, Henan, ChinaDepartment of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, ChinaEngineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, Henan, ChinaEngineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, Henan, ChinaDepartment of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, ChinaEngineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, Henan, ChinaEngineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, Henan, ChinaDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, ChinaEngineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, Henan, ChinaEngineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, Henan, ChinaMR Research China, GE Healthcare, Beijing, ChinaDepartment of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, ChinaEngineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, Henan, ChinaEngineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, Henan, ChinaIntroductionThe objective of this study was to characterize the alteration patterns of dynamic spatiotemporal activity in chronic subcortical stroke patients with varying motor outcomes, while investigating the imaging indicators relevant to the assessment of potential cognitive deficits in these patients.MethodsA total of 136 patients and 88 normal controls were included in the analysis of static and dynamic intrinsic brain activity, determined by amplitude of low-frequency fluctuations.ResultsThe findings unveiled that subcortical stroke patients exhibited significantly aberrant temporal dynamics of intrinsic brain activity, involving regions within multiple brain networks. These spatiotemporal patterns were found to be contingent upon the side of the lesion. In addition, these aberrant metrics demonstrated potential in discerning cognitive deficits in stroke patients with memory impairment, with the dynamic indices exerting more influence than the static ones. The observe findings may indicate that subcortical stroke can trigger imbalances in the segregation and integration of spatiotemporal patterns across the entire brain with multi-domain networks, especially in patients with poor motor outcomes.ConclusionIt suggests that the temporal dynamics indices of intrinsic brain activity could serve as potential imaging indicators for assessing cognitive impairment in patients with chronic subcortical stroke, which may be associated with the motor outcomes.https://www.frontiersin.org/articles/10.3389/fnagi.2023.1294009/fullcognitivedALFFfMRIintrinsic brain activitysALFFstroke |
| spellingShingle | Caihong Wang Caihong Wang Caihong Wang Jingchun Liu Jun Guo Shaoqiang Han Shaoqiang Han Shaoqiang Han Peifang Miao Peifang Miao Peifang Miao Ying Wei Ying Wei Ying Wei Yingying Wang Yingying Wang Yingying Wang Xin Wang Xin Wang Xin Wang Zhen Li Kangkang Xue Kangkang Xue Kangkang Xue Kaiyu Wang Jingliang Cheng Jingliang Cheng Jingliang Cheng Dynamic brain activity states of memory impairment in stroke patients with varying motor outcomes Frontiers in Aging Neuroscience cognitive dALFF fMRI intrinsic brain activity sALFF stroke |
| title | Dynamic brain activity states of memory impairment in stroke patients with varying motor outcomes |
| title_full | Dynamic brain activity states of memory impairment in stroke patients with varying motor outcomes |
| title_fullStr | Dynamic brain activity states of memory impairment in stroke patients with varying motor outcomes |
| title_full_unstemmed | Dynamic brain activity states of memory impairment in stroke patients with varying motor outcomes |
| title_short | Dynamic brain activity states of memory impairment in stroke patients with varying motor outcomes |
| title_sort | dynamic brain activity states of memory impairment in stroke patients with varying motor outcomes |
| topic | cognitive dALFF fMRI intrinsic brain activity sALFF stroke |
| url | https://www.frontiersin.org/articles/10.3389/fnagi.2023.1294009/full |
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