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Wang Y, Du J, Hu Y, Zhang S. CXCL10 impairs synaptic plasticity and was modulated by cGAS-STING pathway after stroke in mice. J Neurophysiol 2024; 132:722-732. [PMID: 38919986 DOI: 10.1152/jn.00079.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 06/20/2024] [Accepted: 06/21/2024] [Indexed: 06/27/2024] Open
Abstract
Sensorimotor deficits following stroke remain a major cause of disability, but little is known about the specific pathological mechanisms. Exploring the pathological mechanisms and identifying potential therapeutic targets to promote functional rehabilitation after stroke are essential. CXCL10, also known as interferon-γ-inducible protein 10 (IP-10), plays an important role in multiple brain disorders by mediating synaptic plasticity, yet its role in stroke is still unclear. In this study, mice were subjected to photothrombotic (PT) stroke, and sensorimotor deficits were determined by the ladder walking tests, tape removal tests, and rotarod tests. The density of dendritic spines and synaptic plasticity was determined in Thy1-EGFP mice and evaluated by electrophysiology. We found that photothrombotic stroke induced sensorimotor deficits and upregulated the expression of CXCL10, whereas suppressing the expression of CXCL10 by adeno-associated virus (AAV) ameliorated sensorimotor deficits and increased the levels of synapse-related proteins, the density of dendritic spines, and synaptic strength. Furthermore, the cyclic GMP-AMP (cGAMP) synthase (cGAS)-stimulus of interferon genes (STING) pathway was activated by stroke and induced CXCL10 release, and cGAS or STING antagonists downregulated the levels of CXCL10 and improved synaptic plasticity after stroke. Collectively, our results indicate that cGAS-STING pathway activation promoted CXCL10 release and impaired synaptic plasticity during stroke recovery.NEW & NOTEWORTHY Chemokine-mediated inflammatory response plays a critical role in stroke. CXCL10 plays an important role in multiple brain disorders by mediating synaptic plasticity, yet its role in stroke recovery is still unclear. Herein, we identified a new mechanism that cyclic GMP-AMP (cGAMP) synthase (cGAS)-stimulus of interferon genes (STING) pathway activation promoted CXCL10 release and impaired synaptic plasticity during stroke recovery. Our findings highlight the potential therapeutic strategy of targeting the cGAS-STING pathway to treat stroke.
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Affiliation(s)
- Yi Wang
- Department of Child Healthcare, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Juan Du
- College of Life Sciences, Chongqing Normal University, Chongqing, People's Republic of China
- School of Pharmacy and Nursing, Chongqing Vocational College of Light Industry, Chongqing, People's Republic of China
| | - Youfang Hu
- Department of Child Healthcare, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Sufen Zhang
- Department of Child Healthcare, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China
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Cai G, Xu J, Zhang C, Jiang J, Chen G, Chen J, Liu Q, Xu G, Lan Y. Identifying biomarkers related to motor function in chronic stroke: A fNIRS and TMS study. CNS Neurosci Ther 2024; 30:e14889. [PMID: 39073240 DOI: 10.1111/cns.14889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Revised: 06/07/2024] [Accepted: 07/17/2024] [Indexed: 07/30/2024] Open
Abstract
BACKGROUND Upper limb motor impairment commonly occurs after stroke, impairing quality of life. Brain network reorganization likely differs between subgroups with differing impairment severity. This study explored differences in functional connectivity (FC) and corticospinal tract (CST) integrity between patients with mild/moderate versus severe hemiplegia poststroke to clarify the neural correlates underlying motor deficits. METHOD Sixty chronic stroke patients with upper limb motor impairment were categorized into mild/moderate and severe groups based on Fugl-Meyer scores. Resting-state FC was assessed using functional near-infrared spectroscopy (fNIRS) to compare connectivity patterns between groups across motor regions. CST integrity was evaluated by inducing motor evoked potentials (MEP) via transcranial magnetic stimulation. RESULTS Compared to the mild/moderate group, the severe group exhibited heightened premotor cortex-primary motor cortex (PMC-M1) connectivity (t = 4.56, p < 0.01). Absence of MEP was also more frequent in the severe group (χ2 = 12.31, p = 0.01). Bayesian models effectively distinguished subgroups and identified the PMC-M1 connection as highly contributory (accuracy = 91.30%, area under the receiver operating characteristic curve [AUC] = 0.86). CONCLUSION Distinct patterns of connectivity and corticospinal integrity exist between stroke subgroups with differing impairments. Strengthened connectivity potentially indicates recruitment of additional motor resources to compensate for damage. These findings elucidate the neural correlates underlying motor deficits poststroke and could guide personalized, network-based therapies targeting predictive biomarkers to improve rehabilitation outcomes.
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Affiliation(s)
- Guiyuan Cai
- Department of Rehabilitation Medicine, School of Medicine, The Second Affiliated Hospital, South China University of Technology, Guangzhou, China
- Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Jiayue Xu
- Department of Rehabilitation Medicine, School of Medicine, The Second Affiliated Hospital, South China University of Technology, Guangzhou, China
- Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Cailing Zhang
- Department of Rehabilitation Medicine, School of Medicine, The Second Affiliated Hospital, South China University of Technology, Guangzhou, China
- Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Junbo Jiang
- Department of Rehabilitation Medicine, School of Medicine, The Second Affiliated Hospital, South China University of Technology, Guangzhou, China
- Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Gengbin Chen
- Postgraduate Research Institute, Guangzhou Sport University, Guangzhou, China
| | - Jialin Chen
- Postgraduate Research Institute, Guangzhou Sport University, Guangzhou, China
| | - Quan Liu
- Postgraduate Research Institute, Guangzhou Sport University, Guangzhou, China
| | - Guangqing Xu
- Department of Rehabilitation Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yue Lan
- Department of Rehabilitation Medicine, School of Medicine, The Second Affiliated Hospital, South China University of Technology, Guangzhou, China
- Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
- Guangzhou Key Laboratory of Aging Frailty and Neurorehabilitation, Guangzhou, China
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Hong W, Liu Z, Zhang X, Li M, Yu Z, Wang Y, Wang M, Wu Y, Fang S, Yang B, Xu R, Zhao Z. Distance-related functional reorganization predicts motor outcome in stroke patients. BMC Med 2024; 22:247. [PMID: 38886774 PMCID: PMC11184708 DOI: 10.1186/s12916-024-03435-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 05/09/2024] [Indexed: 06/20/2024] Open
Abstract
BACKGROUND Analyzing distance-dependent functional connectivity density (FCD) yields valuable insights into patterns of brain activity. Nevertheless, whether alterations of FCD in non-acute stroke patients are associated with the anatomical distance between brain regions remains unclear. This study aimed to explore the distance-related functional reorganization in non-acute stroke patients following left and right hemisphere subcortical lesions, and its relationship with clinical assessments. METHODS In this study, we used resting-state fMRI to calculate distance-dependent (i.e., short- and long-range) FCD in 25 left subcortical stroke (LSS) patients, 22 right subcortical stroke (RSS) patients, and 39 well-matched healthy controls (HCs). Then, we compared FCD differences among the three groups and assessed the correlation between FCD alterations and paralyzed motor function using linear regression analysis. RESULTS Our findings demonstrated that the left inferior frontal gyrus displayed distance-independent FCD changes, while the bilateral supplementary motor area, cerebellum, and left middle occipital gyrus exhibited distance-dependent FCD alterations in two patient subgroups compared with HCs. Furthermore, we observed a positive correlation between increased FCD in the bilateral supplementary motor area and the motor function of lower limbs, and a negative correlation between increased FCD in the left inferior frontal gyrus and the motor function of both upper and lower limbs across all stroke patients. These associations were validated by using a longitudinal dataset. CONCLUSIONS The FCD in the cerebral and cerebellar cortices shows distance-related changes in non-acute stroke patients with motor dysfunction, which may serve as potential biomarkers for predicting motor outcomes after stroke. These findings enhance our comprehension of the neurobiological mechanisms driving non-acute stroke. TRIAL REGISTRATION All data used in the present study were obtained from a research trial registered with the ClinicalTrials.gov database (NCT05648552, registered 05 December 2022, starting from 01 January 2022).
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Affiliation(s)
- Wenjun Hong
- Department of Rehabilitation Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China
| | - Zaixing Liu
- Department of Rehabilitation Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China
| | - Xin Zhang
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China
| | - Ming Li
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China
| | - Zhixuan Yu
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China
| | - Yuxin Wang
- Department of Rehabilitation Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China
| | - Minmin Wang
- School of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310027, China
- Binjiang Institute of Zhejiang University, Hangzhou, 310014, China
| | - Yanan Wu
- Department of Rehabilitation Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China
| | - Shengjie Fang
- Department of Rehabilitation Medicine, Nanjing Drum Tower Hospital Clinical College of Jiangsu University, Nanjing, 210008, China
| | - Bo Yang
- Department of Rehabilitation Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China
| | - Rong Xu
- Department of Rehabilitation Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China.
| | - Zhiyong Zhao
- Department of Radiology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, 310003, China.
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Reibelt A, Quandt F, Schulz R. Posterior parietal cortical areas and recovery after motor stroke: a scoping review. Brain Commun 2023; 5:fcad250. [PMID: 37810465 PMCID: PMC10551853 DOI: 10.1093/braincomms/fcad250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 08/25/2023] [Accepted: 09/25/2023] [Indexed: 10/10/2023] Open
Abstract
Brain imaging and electrophysiology have significantly enhanced our current understanding of stroke-related changes in brain structure and function and their implications for recovery processes. In the motor domain, most studies have focused on key motor areas of the frontal lobe including the primary and secondary motor cortices. Time- and recovery-dependent alterations in regional anatomy, brain activity and inter-regional connectivity have been related to recovery. In contrast, the involvement of posterior parietal cortical areas in stroke recovery is poorly understood although these regions are similarly important for important aspects of motor functioning in the healthy brain. Just in recent years, the field has increasingly started to explore to what extent posterior parietal cortical areas might undergo equivalent changes in task-related activation, regional brain structure and inter-regional functional and structural connectivity after stroke. The aim of this scoping review is to give an update on available data covering these aspects and thereby providing novel insights into parieto-frontal interactions for systems neuroscience stroke recovery research in the upper limb motor domain.
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Affiliation(s)
- Antonia Reibelt
- Experimental Electrophysiology and Neuroimaging Lab, Department of Neurology, University Medical Center Hamburg Eppendorf, 20246 Hamburg, Germany
| | - Fanny Quandt
- Experimental Electrophysiology and Neuroimaging Lab, Department of Neurology, University Medical Center Hamburg Eppendorf, 20246 Hamburg, Germany
| | - Robert Schulz
- Experimental Electrophysiology and Neuroimaging Lab, Department of Neurology, University Medical Center Hamburg Eppendorf, 20246 Hamburg, Germany
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Lu M, Du Z, Zhao J, Jiang L, Liu R, Zhang M, Xu T, Wei J, Wang W, Xu L, Guo H, Chen C, Yu X, Tan Z, Fang J, Zou Y. Neuroimaging mechanisms of acupuncture on functional reorganization for post-stroke motor improvement: a machine learning-based functional magnetic resonance imaging study. Front Neurosci 2023; 17:1143239. [PMID: 37274194 PMCID: PMC10235506 DOI: 10.3389/fnins.2023.1143239] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 05/03/2023] [Indexed: 06/06/2023] Open
Abstract
Objective Motor recovery is crucial in stroke rehabilitation, and acupuncture can influence recovery. Neuroimaging and machine learning approaches provide new research directions to explore the brain functional reorganization and acupuncture mechanisms after stroke. We applied machine learning to predict the classification of the minimal clinically important differences (MCID) for motor improvement and identify the neuroimaging features, in order to explore brain functional reorganization and acupuncture mechanisms for motor recovery after stroke. Methods In this study, 49 patients with unilateral motor pathway injury (basal ganglia and/or corona radiata) after ischemic stroke were included and evaluated the motor function by Fugl-Meyer Assessment scores (FMA) at baseline and at 2-week follow-up sessions. Patients were divided by the difference between the twice FMA scores into one group showing minimal clinically important difference (MCID group, n = 28) and the other group with no minimal clinically important difference (N-MCID, n = 21). Machine learning was performed by PRoNTo software to predict the classification of the patients and identify the feature brain regions of interest (ROIs). In addition, a matched group of healthy controls (HC, n = 26) was enrolled. Patients and HC underwent magnetic resonance imaging examination in the resting state and in the acupuncture state (acupuncture at the Yanglingquan point on one side) to compare the differences in brain functional connectivity (FC) and acupuncture effects. Results Through machine learning, we obtained a balance accuracy rate of 75.51% and eight feature ROIs. Compared to HC, we found that the stroke patients with lower FC between these feature ROIs with other brain regions, while patients in the MCID group exhibited a wider range of lower FC. When acupuncture was applied to Yanglingquan (GB 34), the abnormal FC of patients was decreased, with different targets of effects in different groups. Conclusion Feature ROIs identified by machine learning can predict the classification of stroke patients with different motor improvements, and the FC between these ROIs with other brain regions is decreased. Acupuncture can modulate the bilateral cerebral hemispheres to restore abnormal FC via different targets, thereby promoting motor recovery after stroke. Clinical trial registration https://www.chictr.org.cn/showproj.html?proj=37359, ChiCTR1900022220.
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Affiliation(s)
- Mengxin Lu
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Zhongming Du
- Department of Acupuncture, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Jiping Zhao
- Department of Acupuncture, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Lan Jiang
- Department of Chinese Medicine, Peking Union Medical College Hospital, Beijing, China
| | - Ruoyi Liu
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Muzhao Zhang
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Tianjiao Xu
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Jingpei Wei
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Wei Wang
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Lingling Xu
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Haijiao Guo
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Chen Chen
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Xin Yu
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Zhongjian Tan
- Department of Radiology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Jiliang Fang
- Department of Radiology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yihuai Zou
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
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Li Z, Wang Z, Cao D, You R, Hu J. Altered dynamic functional network connectivity states in patients with acute basal ganglia ischemic stroke. Brain Res 2023:148406. [PMID: 37201623 DOI: 10.1016/j.brainres.2023.148406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 05/04/2023] [Accepted: 05/08/2023] [Indexed: 05/20/2023]
Abstract
BACKGROUND Dynamic functional network connectivity (dFNC) patterns are successfully able to capture the time-varying features of intrinsic fluctuations throughout a scan. We explored dFNC alterations across the entire brain in patients with acute ischemic stroke (AIS) of the basal ganglia (BG). METHOD Resting-state functional magnetic resonance imaging data were acquired from 26 patients with first-ever AIS in the BG and 26 healthy controls (HCs). Independent component analysis, the sliding window method, and the K-means clustering method were used to obtain reoccurring dynamic network connectivity patterns. Moreover, temporal features across diverse dFNC states were compared between the two groups, and the local and global efficiencies across states were analyzed to explore the characteristics of the topological networks among states. RESULTS Four dFNC states were characterized for comparison of dynamic brain network connectivity patterns. In contrast to the HC group, the AIS group spent a significantly higher fraction of time in State 1, which is characterized by a relatively weaker brain network connectome. Conversely, compared with HC, patients with AIS showed a lower mean dwell time in State 2, which was characterized by a relatively stronger brain network connectome. Additionally, functional networks exhibited variable efficiency of information transfer across 4 states. CONCLUSIONS AIS not only altered the interaction between the different dynamic networks but also promoted characteristic alterations in the temporal and topological features of large-scale dynamic network connectivity.
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Affiliation(s)
- Zhongming Li
- Department of Imaging, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
| | - Zhimin Wang
- Department of Imaging, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Dairong Cao
- Department of Imaging, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Ruixiong You
- Department of Imaging, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Jianping Hu
- Department of Imaging, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
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Wang H, Xiong X, Zhang K, Wang X, Sun C, Zhu B, Xu Y, Fan M, Tong S, Guo X, Sun L. Motor network reorganization after motor imagery training in stroke patients with moderate to severe upper limb impairment. CNS Neurosci Ther 2022; 29:619-632. [PMID: 36575865 PMCID: PMC9873524 DOI: 10.1111/cns.14065] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 11/22/2022] [Accepted: 12/06/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Motor imagery training (MIT) has been widely used to improve hemiplegic upper limb function in stroke rehabilitation. The effectiveness of MIT is associated with the functional neuroplasticity of the motor network. Currently, brain activation and connectivity changes related to the motor recovery process after MIT are not well understood. AIM We aimed to investigate the neural mechanisms of MIT in stroke rehabilitation through a longitudinal intervention study design with task-based functional magnetic resonance imaging (fMRI) analysis. METHODS We recruited 39 stroke patients with moderate to severe upper limb motor impairment and randomly assigned them to either the MIT or control groups. Patients in the MIT group received 4 weeks of MIT therapy plus conventional rehabilitation, while the control group only received conventional rehabilitation. The assessment of Fugl-Meyer Upper Limb Scale (FM-UL) and Barthel Index (BI), and fMRI scanning using a passive hand movement task were conducted on all patients before and after treatment. The changes in brain activation and functional connectivity (FC) were analyzed. Pearson's correlation analysis was conducted to evaluate the association between neural functional changes and motor improvement. RESULTS The MIT group achieved higher improvements in FM-UL and BI relative to the control group after the treatment. Passive movement of the affected hand evoked an abnormal bilateral activation pattern in both groups before intervention. A significant Group × Time interaction was found in the contralesional S1 and ipsilesional M1, showing a decrease of activation after intervention specifically in the MIT group, which was negatively correlated with the FM-UL improvement. FC analysis of the ipsilesional M1 displayed the motor network reorganization within the ipsilesional hemisphere, which correlated with the motor score changes. CONCLUSIONS MIT could help decrease the compensatory activation at both hemispheres and reshape the FC within the ipsilesional hemisphere along with functional recovery in stroke patients.
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Affiliation(s)
- Hewei Wang
- Department of Rehabilitation MedicineHuashan Hospital Fudan UniversityShanghaiChina
| | - Xin Xiong
- School of Biomedical EngineeringShanghai Jiaotong UniversityShanghaiChina
| | - Kexu Zhang
- School of Biomedical EngineeringShanghai Jiaotong UniversityShanghaiChina
| | - Xu Wang
- School of Biomedical EngineeringShanghai Jiaotong UniversityShanghaiChina
| | - Changhui Sun
- Department of Rehabilitation MedicineHuashan Hospital Fudan UniversityShanghaiChina
| | - Bing Zhu
- Department of Rehabilitation MedicineHuashan Hospital Fudan UniversityShanghaiChina
| | - Yiming Xu
- Department of Rehabilitation MedicineHuashan Hospital Fudan UniversityShanghaiChina
| | - Mingxia Fan
- Shanghai Key Laboratory of Magnetic ResonanceEast China Normal UniversityShanghaiChina
| | - Shanbao Tong
- School of Biomedical EngineeringShanghai Jiaotong UniversityShanghaiChina
| | - Xiaoli Guo
- School of Biomedical EngineeringShanghai Jiaotong UniversityShanghaiChina
| | - Limin Sun
- Department of Rehabilitation MedicineHuashan Hospital Fudan UniversityShanghaiChina
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Altered Effective Connectivity of the Primary Motor Cortex in Transient Ischemic Attack. Neural Plast 2022; 2022:2219993. [PMID: 36437903 PMCID: PMC9699783 DOI: 10.1155/2022/2219993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 09/02/2022] [Accepted: 09/19/2022] [Indexed: 11/19/2022] Open
Abstract
Objective This study is aimed at exploring alteration in motor-related effective connectivity in individuals with transient ischemic attack (TIA). Methods A total of 48 individuals with TIA and 41 age-matched and sex-matched healthy controls (HCs) were recruited for this study. The participants were scanned using MRI, and their clinical characteristics were collected. To investigate motor-related effective connectivity differences between individuals with TIA and HCs, the bilateral primary motor cortex (M1) was used as the regions of interest (ROIs) to perform a whole-brain Granger causality analysis (GCA). Furthermore, partial correlation was used to evaluate the relationship between GCA values and the clinical characteristics of individuals with TIA. Results Compared with HCs, individuals with TIA demonstrated alterations in the effective connectivity between M1 and widely distributed brain regions involved in motor, visual, auditory, and sensory integration. In addition, GCA values were significantly correlated with high- and low-density lipoprotein cholesterols in individuals with TIA. Conclusion This study provides important evidence for the alteration of motor-related effective connectivity in TIA, which reflects the abnormal information flow between different brain regions. This could help further elucidate the pathological mechanisms of motor impairment in individuals with TIA and provide a new perspective for future early diagnosis and intervention for TIA.
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Wang L, Zheng W, Yang B, Chen Q, Li X, Chen X, Hu Y, Cao L, Ren J, Qin W, Yang Y, Lu J, Chen N. Altered functional connectivity between primary motor cortex subregions and the whole brain in patients with incomplete cervical spinal cord injury. Front Neurosci 2022; 16:996325. [PMID: 36408378 PMCID: PMC9669417 DOI: 10.3389/fnins.2022.996325] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Accepted: 10/17/2022] [Indexed: 11/03/2023] Open
Abstract
To investigate the reorganizations of gray matter volume (GMV) in each subregion of primary motor cortex (M1) after incomplete cervical cord injury (ICCI) and to explore the differences in functional connectivity (FC) between the M1 subregions and the whole brain, and further to disclose the potential value of each M1 subregion in motor function rehabilitation of ICCI patients. Eighteen ICCI patients and eighteen age- and gender- matched healthy controls (HCs) were recruited in this study. The 3D high-resolution T1-weighted structural images and resting-state functional magnetic resonance imaging (rs-fMRI) of all subjects were obtained using a 3.0 Tesla MRI system. Based on the Human Brainnetome Atlas, the structural and functional changes of M1 subregions (including A4hf, A6cdl, A4ul, A4t, A4tl, A6cvl) in ICCI patients were analyzed by voxel-based morphometry (VBM) and seed-based FC, respectively. Compared with HCs, no structural changes in the M1 subregions of ICCI patients was detected. However, when compared with HCs, ICCI patients exhibited decreased FC in visual related areas (lingual gyrus, fusiform gyrus) and sensorimotor related areas (primary sensorimotor cortex) when the seeds were located in bilateral A4hf, A4ul, and decreased FC in visual related areas (lingual gyrus, fusiform gyrus) and cognitive related areas (temporal pole) when the seed was located in the left A4t. Moreover, when the seeds were located in the bilateral A6cdl, decreased FC in visual related areas (lingual gyrus, fusiform gyrus, calcarine gyrus) was also observed. Our findings demonstrated that each of the M1 regions had diverse FC reorganizations, which may provide a theoretical basis for the selection of precise stimulation targets, such as transcranial magnetic stimulation (TMS) or transcranial direct current stimulation (tCDS), meanwhile, our results may reveal the possible mechanism of visual feedback and cognitive training to promote motor rehabilitation.
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Affiliation(s)
- Ling Wang
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Weimin Zheng
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Beining Yang
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Qian Chen
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Xuejing Li
- Department of Radiology, China Rehabilitation Research Center, Beijing, China
| | - Xin Chen
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Yongsheng Hu
- Department of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Lei Cao
- Department of Rehabilitation Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jian Ren
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Wen Qin
- Department of Radiology, Tianjin Medical University General Hospital, Beijing, China
| | - Yanhui Yang
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Jie Lu
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Nan Chen
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
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Liu F, Chen C, Bai Z, Hong W, Wang S, Tang C. Specific subsystems of the inferior parietal lobule are associated with hand dysfunction following stroke: A cross-sectional resting-state fMRI study. CNS Neurosci Ther 2022; 28:2116-2128. [PMID: 35996952 PMCID: PMC9627383 DOI: 10.1111/cns.13946] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 08/02/2022] [Accepted: 08/05/2022] [Indexed: 02/06/2023] Open
Abstract
AIM The inferior parietal lobule (IPL) plays important roles in reaching and grasping during hand movements, but how reorganizations of IPL subsystems underlie the paretic hand remains unclear. We aimed to explore whether specific IPL subsystems were disrupted and associated with hand performance after chronic stroke. METHODS In this cross-sectional study, we recruited 65 patients who had chronic subcortical strokes and 40 healthy controls from China. Each participant underwent the Fugl-Meyer Assessment of Hand and Wrist and resting-state fMRI at baseline. We mainly explored the group differences in resting-state effective connectivity (EC) patterns for six IPL subregions in each hemisphere, and we correlated these EC patterns with paretic hand performance across the whole stroke group and stroke subgroups. Moreover, we used receiver operating characteristic curve analysis to distinguish the stroke subgroups with partially (PPH) and completely (CPH) paretic hands. RESULTS Stroke patients exhibited abnormal EC patterns with ipsilesional PFt and bilateral PGa, and five sensorimotor-parietal/two parietal-temporal subsystems were positively or negatively correlated with hand performance. Compared with CPH patients, PPH patients exhibited abnormal EC patterns with the contralesional PFop. The PPH patients had one motor-parietal subsystem, while the CPH patients had one sensorimotor-parietal and three parietal-occipital subsystems that were associated with hand performance. Notably, the EC strength from the contralesional PFop to the ipsilesional superior frontal gyrus could distinguish patients with PPH from patients with CPH. CONCLUSIONS The IPL subsystems manifest specific functional reorganization and are associated with hand dysfunction following chronic stroke.
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Affiliation(s)
- FeiWen Liu
- Department of Rehabilitation MedicineChengdu Second People's HospitalChengduChina
| | - ChangCheng Chen
- Department of Rehabilitation MedicineQingtian People's HospitalLishuiChina
| | - ZhongFei Bai
- Yangzhi Rehabilitation Hospital Affiliated to Tongji University (Shanghai Sunshine Rehabilitation Center)ShanghaiChina
| | - WenJun Hong
- Department of Rehabilitation Medicine, Nanjing Drum Tower HospitalThe Affiliated Hospital of Nanjing University Medical SchoolNanjingChina
| | - SiZhong Wang
- Centre for Health, Activity and Rehabilitation Research (CHARR), School of PhysiotherapyUniversity of OtagoDunedinNew Zealand
| | - ChaoZheng Tang
- Capacity Building and Continuing Education CenterNational Health Commission of the People's Republic of ChinaBeijingChina
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