کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4932721 | 1433528 | 2017 | 60 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Local-to-remote cortical connectivity in amnestic mild cognitive impairment
ترجمه فارسی عنوان
اتصال کورتنی به داخل و از راه دور در اختلالات شناختی خفیف آمونیاک
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کلمات کلیدی
اختلال شناختی خفیف آمنیستیک، یکنواختی کارکردی، اتصال محلی، اتصال از راه دور، شبکه حالت پیش فرض
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
سالمندی
چکیده انگلیسی
Alterations in both local and remote connectivity were reported in amnestic mild cognitive impairment (aMCI) patients but rarely in the same group of patients. In the present study, we employed a novel resting-state functional magnetic resonance imaging (rfMRI) connectome index, regional functional homogeneity on the 2-dimensional cortical surface, to detect full-cortex vertex-wise changes of the local rfMRI connectivity in 32 aMCI patients compared with 40 healthy controls. We further used the seed-based functional connectivity to explore the remote rfMRI connectivity in aMCI. The results revealed significantly lower local connectivity in the default network and higher local connectivity in the somatomotor network in aMCI patients. Abnormal remote connectivity relevant to local connectivity was primarily detectable within the default network (decrease) and in the somatomotor and attention networks (increase). The abnormalities in the remote (not local) default network connectivity were significantly associated with episodic memory performance in patients. These distance-related connectivity profiles illustrated a dysfunctional pattern in aMCI, which extended our knowledge of this pathological aging process.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurobiology of Aging - Volume 56, August 2017, Pages 138-149
Journal: Neurobiology of Aging - Volume 56, August 2017, Pages 138-149
نویسندگان
Yi-Wen Zhang, Zhi-Lian Zhao, Zhigang Qi, Yang Hu, Yin-Shan Wang, Can Sheng, Yu Sun, Xiaoni Wang, Li-Li Jiang, Chao-Gan Yan, Kuncheng Li, Hui-Jie Li, Xi-Nian Zuo,