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Topological Properties of Large-Scale Cortical Networks Based on Multiple Morphological Features in Amnestic Mild Cognitive Impairment
المؤلفون المشاركون
Li, Shuyu
Han, Ying
Li, Kuncheng
Li, Qiongling
Li, Xinwei
Wang, Xuetong
Li, Yuxia
Yu, Yang
Yin, Changhao
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-02-23
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Previous studies have demonstrated that amnestic mild cognitive impairment (aMCI) has disrupted properties of large-scale cortical networks based on cortical thickness and gray matter volume.
However, it is largely unknown whether the topological properties of cortical networks based on geometric measures (i.e., sulcal depth, curvature, and metric distortion) change in aMCI patients compared with normal controls because these geometric features of cerebral cortex may be related to its intrinsic connectivity.
Here, we compare properties in cortical networks constructed by six different morphological features in 36 aMCI participants and 36 normal controls.
Six cortical features (3 volumetric and 3 geometric features) were extracted for each participant, and brain abnormities in aMCI were identified by cortical network based on graph theory method.
All the cortical networks showed small-world properties.
Regions showing significant differences mainly located in the medial temporal lobe and supramarginal and right inferior parietal lobe.
In addition, we also found that the cortical networks constructed by cortical thickness and sulcal depth showed significant differences between the two groups.
Our results indicated that geometric measure (i.e., sulcal depth) can be used to construct network to discriminate individuals with aMCI from controls besides volumetric measures.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Qiongling& Li, Xinwei& Wang, Xuetong& Li, Yuxia& Li, Kuncheng& Yu, Yang…[et al.]. 2016. Topological Properties of Large-Scale Cortical Networks Based on Multiple Morphological Features in Amnestic Mild Cognitive Impairment. Neural Plasticity،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1113079
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Qiongling…[et al.]. Topological Properties of Large-Scale Cortical Networks Based on Multiple Morphological Features in Amnestic Mild Cognitive Impairment. Neural Plasticity No. 2016 (2016), pp.1-14.
https://search.emarefa.net/detail/BIM-1113079
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Qiongling& Li, Xinwei& Wang, Xuetong& Li, Yuxia& Li, Kuncheng& Yu, Yang…[et al.]. Topological Properties of Large-Scale Cortical Networks Based on Multiple Morphological Features in Amnestic Mild Cognitive Impairment. Neural Plasticity. 2016. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1113079
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1113079
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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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
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