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Chen X, Li W. Relationship between temporal dynamics of intrinsic brain activity and motor function remodeling in patients with acute BGIS. Front Neurosci 2023; 17:1154018. [PMID: 37469836 PMCID: PMC10353616 DOI: 10.3389/fnins.2023.1154018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 05/24/2023] [Indexed: 07/21/2023] Open
Abstract
Background patients with acute basal ganglia ischemic stroke (BGIS) show changes in local brain activity represented by the amplitude of low-frequency fluctuation (ALFF), but the time-varying characteristics of this local nerve activity are still unclear. This study aimed to investigate the abnormal time-varying local brain activity of patients with acute BGIS by using the ALFF method combined with the sliding-window approach. Methods In this study, 34 patients with acute BGIS with motor dysfunction and 44 healthy controls (HCs) were recruited. The dynamic amplitude of low-frequency fluctuation (dALFF) was employed to detect the alterations in brain activity induced by acute BGIS patients. A two-sample t-test comparison was performed to compare the dALFF value between the two groups and a Spearman correlation analysis was conducted to assess the relationship between the local brain activity abnormalities and clinical characteristics. Results Compared with HCs, the activity of neurons in the left temporal pole (TP), parahippocampal gyrus (paraHIP), middle occipital gyrus (MOG), dorsolateral superior frontal gyrus (SFGdl), medial cingulate cortex (MCC), right rectus, precuneus (PCu) and right cerebellum crus1 were significantly increased in patients with BGIS. In addition, we found that there was a negative correlation (r = -0.458, p = 0.007) between the dALFF value of the right rectus and the scores of the National Institutes of Health Stroke Scale (NIHSS), and a positive correlation (r = 0.488, 0.499, p < 0.05) with the scores of the Barthel Index scale (BI) and the Fugl Meyer motor function assessment (FMA). ROC analysis results demonstrated that the area under the curves (AUC) of the right rectus was 0.880, p<0.001. Conclusion The pattern of intrinsic brain activity variability was altered in patients with acute BGIS compared with HCs. The abnormal dALFF variability might be a potential tool to assess motor function in patients with acute BGIS and potentially inform the diagnosis of this disease.
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Cortico-hypothalamic pathway of Horner syndrome derived from isolated lenticulostriate stroke. Clin Auton Res 2023; 33:63-67. [PMID: 36507977 DOI: 10.1007/s10286-022-00914-w] [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: 10/18/2022] [Accepted: 12/02/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUNDS Horner syndrome presents with ipsilateral ptosis, miosis, and anhidrosis due to interruption of the oculosympathetic pathway. Patients with acute ischemic stroke may present with Horner syndrome, which may help locate the lesion. However, the underlying pathways involved in Horner syndrome caused by isolated lenticulostriate ischemic stroke remain unclear. METHODS We screened consecutive patients with acute ischemic stroke admitted to the Second Affiliated Hospital of Guangzhou Medical University from 1 January 2020 to 31 December 2021, and searched for cases of isolated lenticulostriate strokes presenting with Horner syndrome. Strokes involving the brainstem or hypothalamus, or those caused by carotid dissection or carotid cavernous fistula were excluded based on neuroimaging and cerebrovascular examination. RESULTS Among the 1706 acute stroke patients, three patients developed temporary or long-term Horner syndrome due to an ipsilateral lenticulostriate ischemic lesion. Diffusion-tensor imaging revealed disruption of an uncrossed pathway from Brodmann areas 3, 1, and 2 through the basal ganglia to the ipsilateral hypothalamus. CONCLUSION These findings suggest that Horner syndrome may be due to a disruption of an uncrossed cortico-basal ganglia-hypothalamic sympathetic pathway.
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Cerebral Hemodynamic Changes during Unaffected Handgrip Exercises in Stroke Patients: An fNIRS Study. Brain Sci 2023; 13:brainsci13010141. [PMID: 36672122 PMCID: PMC9857146 DOI: 10.3390/brainsci13010141] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 01/07/2023] [Accepted: 01/08/2023] [Indexed: 01/18/2023] Open
Abstract
This study aimed to assess the effect of the altered strength of the sound limb on the hemodynamics in the affected brain of stroke patients. We recruited 20 stroke patients to detect changes in the HbO concentrations in the bilateral prefrontal cortex (PFC), sensorimotor cortex (SMC), and occipital lobe (OL). We performed functional near-infrared spectroscopy (fNIRS) to detect changes in oxyhemoglobin (HbO) concentrations in regions of interest (ROIs) in the bilateral cerebral hemispheres of stroke patients while they performed 20%, 50%, and 80% maximal voluntary contraction (MVC) levels of handgrip tasks with the unaffected hands. The results suggest that when patients performed handgrip tasks with 50% of the MVC force, SMC in the affected cerebral hemisphere was strongly activated and the change in the HbO concentration was similar to that of the handgrip with 80% of MVC. When the force was 50% of MVC, the SMC in the affected hemisphere showed a more proportional activation than that at 80% MVC. Overall, this research suggests that stroke patients with a poor upper limb function should perform motor training with their sound hands at 50% of the MVC grip task to activate the ipsilesional hemisphere.
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Liu Y, Ma J, Li H, Shi WY, Xiao ZH, Yang Q, Zhao QQ, Wang F, Tao XL, Bai YF. Which sites better represent the sensory function of hands in convalescent stroke patients? A study based on electrophysiological examination. Front Neurosci 2023; 16:1065629. [PMID: 36711129 PMCID: PMC9875544 DOI: 10.3389/fnins.2022.1065629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 12/07/2022] [Indexed: 01/13/2023] Open
Abstract
Background Assessing hand sensation in stroke patients is necessary; however, current clinical assessments are time-consuming and inaccurate. Objective This study aimed to explore the nature of light touch sensation and two-point discrimination (2-PD) of different hand sites in convalescent stroke patients based on somatosensory evoked potentials (SEP). Methods Light touch sensation and 2-PD of the thumb, the index finger, the little finger, thenar, and hypothenar were measured (n = 112) using sensory measurement tools. Sensory differences among the hand sites were then compared. The correlation analysis between SEP and the hemiplegic hand function was made. Sensory functions were divided into three levels: sensory intactness, sensory impairment, and sensory loss. Results Light touch sensations were mainly associated with sensory impairment in the finger and palm region. The 2-PD of the finger region was mainly sensory loss and that of the palm region was mainly sensory impairment. There was no statistical difference in the light touch sensation among the sites of the hand. The correlation coefficients between the 2-PD and SEP N20 amplitudes differed. The correlation coefficients of the thenar and hypothenar were the smallest, and that of the finger was the largest. Light touch sensation and 2-PD in patients with stroke were related to the hemiplegic hand function. Conclusion Any site on the hand could be selected as the measurement site for light touch sensation. The little finger and hypothenar may be appropriate sites when screening for 2-PD. To improve the patient's recovery they could receive more sensory stimulation of the hand.
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Affiliation(s)
- Yu Liu
- Department of Rehabilitation Medicine, Shijiazhuang People’s Hospital, Shijiazhuang, China
| | - Jiang Ma
- Department of Rehabilitation Medicine, Shijiazhuang People’s Hospital, Shijiazhuang, China,*Correspondence: Jiang Ma,
| | - Hong Li
- Department of Rehabilitation Medicine, Shijiazhuang People’s Hospital, Shijiazhuang, China,Physical Education College, Hebei Normal University, Shijiazhuang, China
| | - Wan-ying Shi
- Department of Rehabilitation Medicine, Shijiazhuang People’s Hospital, Shijiazhuang, China
| | - Zheng-hua Xiao
- Physical Education College, Hebei Normal University, Shijiazhuang, China
| | - Qian Yang
- Department of Electrophysiology, Shijiazhuang People’s Hospital, Shijiazhuang, Hebei, China
| | - Qing-qing Zhao
- School of Nursing and Rehabilitation, North China University of Science and Technology, Tangshan, Hebei, China
| | - Fang Wang
- Physical Education College, Hebei Normal University, Shijiazhuang, China
| | - Xiao-lin Tao
- Department of Rehabilitation Medicine, Shijiazhuang People’s Hospital, Shijiazhuang, China
| | - Yun-fei Bai
- Department of Rehabilitation Medicine, Shijiazhuang People’s Hospital, Shijiazhuang, China
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Li QG, Zhao C, Shan Y, Yin YY, Rong DD, Zhang M, Ma QF, Lu J. Dynamic Neural Network Changes Revealed by Voxel-Based Functional Connectivity Strength in Left Basal Ganglia Ischemic Stroke. Front Neurosci 2020; 14:526645. [PMID: 33071728 PMCID: PMC7533550 DOI: 10.3389/fnins.2020.526645] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 08/24/2020] [Indexed: 01/10/2023] Open
Abstract
Objective This study intends to track whole-brain functional connectivity strength (FCS) changes and the lateralization index (LI) in left basal ganglia (BG) ischemic stroke patients. Methods Twenty-five patients (N = 25; aged 52.73 ± 10.51 years) with five visits at <7, 14, 30, 90, and 180 days and 26 healthy controls (HCs; N = 26; 51.84 ± 8.06 years) were examined with resting-state functional magnetic resonance imaging (rs-fMRI) and motor function testing. FCS and LI were calculated through constructing the voxel-based brain functional network. One-way analysis of covariance (ANOVA) was first performed to obtain longitudinal FCS and LI changes in patients among the five visits (Bonferroni corrected, P < 0.05). Then, pairwise comparisons of FCS and LI were obtained during the five visits, and the two-sample t test was used to examine between-group differences in FCS [family-wise error (FWE) corrected, P < 0.05] and LI. Correlations between connectivity metrics (FCS and LI) and motor function were further assessed. Results Compared to HCs, decreased FCS in the patients localized in the calcarine and inferior occipital gyrus (IOG), while increased FCS gathered in the middle prefrontal cortex (MPFC), middle frontal gyrus, and insula (P < 0.05). The LI and FCS of patients first decreased and then increased, which showed significant differences compared with HCs (P < 0.05) and demonstrated a transition at the 30-day visit. Additionally, LI at the third visit was significantly different from those at the other visits (P < 0.05). No significant longitudinal correlations were observed between motor function and FCS or LI (P > 0.05). Conclusion Focal ischemic stroke in the left BG leads to extensive alterations in the FCS. Strong plasticity in the functional networks could be reorganized in different temporal dynamics to facilitate motor recovery after BG stroke, contribute to diagnosing the disease course, and estimate the intervention treatment.
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Affiliation(s)
- Qiong-Ge Li
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Cheng Zhao
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Yi Shan
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Ya-Yan Yin
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Dong-Dong Rong
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Miao Zhang
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Qing-Feng Ma
- Department of Neurology, Xuanwu Hospital, Capital Medical University, 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.,Department of Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
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