Dynamic Network Analysis Reveals Altered Temporal Variability in Brain Regions after Stroke: A Longitudinal Resting-State fMRI Study
المؤلفون المشاركون
Xu, Qiang
Zhang, Zhiqiang
Dai, Xi-jian
Du, Juan
Yang, Fang
Hu, Jianping
Zeng, Fanyong
Weng, Yifei
Qi, Rongfeng
Liu, Xiaoxue
Lu, Guang Ming
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-04-05
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Recent fMRI studies have demonstrated that resting-state functional connectivity (FC) is of nonstationarity.
Temporal variability of FC reflects the dynamic nature of brain activity.
Exploring temporal variability of FC offers a new approach to investigate reorganization and integration of brain networks after stroke.
Here, we examined longitudinal alterations of FC temporal variability in brain networks after stroke.
Nineteen stroke patients underwent resting fMRI scans across the acute stage (within-one-week after stroke), subacute stage (within-two-weeks after stroke), and early chronic stage (3-4 months after stroke).
Nineteen age- and sex-matched healthy individuals were enrolled.
Compared with the controls, stroke patients exhibited reduced regional temporal variability during the acute stages, which was recovered at the following two stages.
Compared with the acute stage, the subacute stage exhibited increased temporal variability in the primary motor, auditory, and visual cortices.
Across the three stages, the temporal variability in the ipsilesional precentral gyrus (PreCG) was increased first and then reduced.
Increased temporal variability in the ipsilesional PreCG from the acute stage to the subacute stage was correlated with motor recovery from the acute stage to the early chronic stage.
Our results demonstrated that temporal variability of brain network might be a potential tool for evaluating and predicting motor recovery after stroke.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Hu, Jianping& Du, Juan& Xu, Qiang& Yang, Fang& Zeng, Fanyong& Weng, Yifei…[et al.]. 2018. Dynamic Network Analysis Reveals Altered Temporal Variability in Brain Regions after Stroke: A Longitudinal Resting-State fMRI Study. Neural Plasticity،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1210539
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Hu, Jianping…[et al.]. Dynamic Network Analysis Reveals Altered Temporal Variability in Brain Regions after Stroke: A Longitudinal Resting-State fMRI Study. Neural Plasticity No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1210539
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Hu, Jianping& Du, Juan& Xu, Qiang& Yang, Fang& Zeng, Fanyong& Weng, Yifei…[et al.]. Dynamic Network Analysis Reveals Altered Temporal Variability in Brain Regions after Stroke: A Longitudinal Resting-State fMRI Study. Neural Plasticity. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1210539
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1210539
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر