脑卒中后失语症的脑-脑静息状态功能连通性

IF 2.4 3区 医学 Q3 NEUROSCIENCES Brain connectivity Pub Date : 2024-11-12 DOI:10.1089/brain.2023.0087
Joan Stilling, Ji Hyun Kim, Sarah Cust, Zafer Keser, Jamie L Murter, Donna C Tippet, Argye E Hillis, Rajani Sebastian
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引用次数: 0

摘要

简介人们对小脑对脑卒中后失语症恢复的影响知之甚少。尽管右侧小脑被认为是参与语言和认知功能的关键区域,但人们对脑卒中后小脑与双侧皮质半球之间的功能联系知之甚少。本研究调查了脑卒中后慢性命名障碍与小脑-大脑静息状态功能连接(FC)之间的关系。研究方法25名认知正常的参与者和42名中风后慢性失语的参与者接受了静息状态功能磁共振成像。失语症患者也接受了语言评估。我们进行了感兴趣区(ROI)对感兴趣区(ROI)分析,以研究右侧小脑Crus I/II(种子ROI;Cereb1r/Cereb2r)和双侧皮层语言区之间的FC,并将这些结果与认知正常对照组进行了比较。研究人员提取了单个受试者的连接参数,并将其作为自变量用于逐步多元线性回归模型,将波士顿命名测试(BNT)得分与FC测量值联系起来。结果FC分析表明,认知正常对照组和脑卒中患者的右侧小脑Crus I/II与左右大脑皮层区域之间存在相关性。此外,失语症的严重程度和病变负荷对失语患者的小脑-大脑网络连接也有影响。在控制失语症严重程度、卒中后时间和病变负荷的逐步多元线性回归中,右侧大脑2-左侧大脑1之间的FC(标准化贝塔[std B]= -0.255,p < 0.004)、右侧大脑2-右前MTG(std B = 0.259,p < 0.004)和右侧大脑2-左前STG(std B = -0.208,p < 0.018)之间的FC是BNT评分的显著预测因子。整体模型拟合度为 R2 = 0.786 (p = 0.001)。结论右侧小脑和双侧大脑半球残余区域之间的功能联系可能在预测脑卒中后失语症患者的命名能力方面发挥作用。
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Cerebello-Cerebral Resting-State Functional Connectivity in Poststroke Aphasia.

Introduction: The influence of the cerebellum in poststroke aphasia recovery is poorly understood. Despite the right cerebellum being identified as a critical region involved in both language and cognitive functions, little is known about functional connections between the cerebellum and bilateral cortical hemispheres following stroke. This study investigated the relationship between chronic poststroke naming deficits and cerebello-cerebral resting-state functional connectivity (FC). Methods: Twenty-five cognitively normal participants and 42 participants with chronic poststroke aphasia underwent resting-state functional magnetic resonance imaging. Participants with aphasia also underwent language assessment. We conducted regions of interest (ROI)-to-ROI analyses to investigate the FC between the right cerebellar Crus I/II (seed ROI; Cereb1r/Cereb2r) and bilateral cortical language regions and compared these results to cognitively normal controls. Single-subject connectivity parameters were extracted and used as independent variables in a stepwise multiple linear regression model associating Boston Naming Test (BNT) score with FC measures. Results: FC analyses demonstrated correlations between the right cerebellar Crus I/II and both left and right cortical regions for both cognitively normal controls and stroke participants. Additionally, aphasia severity and lesion load had an effect on the cerebello-cerebral network connectivity in participants with aphasia. In a stepwise multiple linear regression, controlling for aphasia severity, time poststroke and lesion load, FC between the right Cereb2-left Cereb1 (standardized beta [std B]= -0.255, p < 0.004), right Cereb2-right anterior MTG (std B = 0.259, p < 0.004), and the right Cereb2-left anterior STG (std B = -0.208, p < 0.018) were significant predictors of BNT score. The overall model fit was R2 = 0.786 (p = 0.001). Conclusion: Functional connections between the right cerebellum and residual bilateral cerebral hemisphere regions may play a role in predicting naming ability in poststroke aphasia.

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来源期刊
Brain connectivity
Brain connectivity Neuroscience-General Neuroscience
CiteScore
4.80
自引率
0.00%
发文量
80
期刊介绍: Brain Connectivity provides groundbreaking findings in the rapidly advancing field of connectivity research at the systems and network levels. The Journal disseminates information on brain mapping, modeling, novel research techniques, new imaging modalities, preclinical animal studies, and the translation of research discoveries from the laboratory to the clinic. This essential journal fosters the application of basic biological discoveries and contributes to the development of novel diagnostic and therapeutic interventions to recognize and treat a broad range of neurodegenerative and psychiatric disorders such as: Alzheimer’s disease, attention-deficit hyperactivity disorder, posttraumatic stress disorder, epilepsy, traumatic brain injury, stroke, dementia, and depression.
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