| Literature DB >> 31252056 |
Ying Yu1, Lin-Feng Yan2, Qian Sun3, Bo Hu4, Jin Zhang5, Yang Yang6, Yu-Jie Dai7, Wu-Xun Cui8, Si-Jie Xiu9, Yu-Chuan Hu10, Chun-Ni Heng11, Qing-Quan Liu12, Jun-Feng Hou13, Yu-Yun Pan14, Liang-Hao Zhai15, Teng-Hui Han16, Guang-Bin Cui17, Wen Wang18.
Abstract
Type 2 diabetes mellitus (T2DM) is a significant risk factor for mild cognitive impairment (MCI) and the acceleration of MCI to dementia. The high glucose level induce disturbance of neurovascular (NV) coupling is suggested to be one potential mechanism, however, the neuroimaging evidence is still lacking. To assess the NV decoupling pattern in early diabetic status, 33 T2DM without MCI patients and 33 healthy control subjects were prospectively enrolled. Then, they underwent resting state functional MRI and arterial spin labeling imaging to explore the hub-based networks and to estimate the coupling of voxel-wise cerebral blood flow (CBF)-degree centrality (DC), CBF-mean amplitude of low-frequency fluctuation (mALFF) and CBF- mean regional homogeneity (mReHo). We further evaluated the relationship between NV coupling pattern and cognitive performance (false discovery rate corrected). T2DM without MCI patients displayed significant decrease in the absolute CBF-mALFF, CBF-mReHo coupling of CBFnetwork and in the CBF-DC coupling of DCnetwork. Besides, networks which involved CBF and DC hubs mainly located in the default mode network (DMN). Furthermore, less severe disease and better cognitive performance in T2DM patients were significantly correlated with higher coupling of CBF-DC, CBF-mALFF or CBF-mReHo, especially for the cognitive dimensions of general function and executive function. Thus, coupling of CBF-DC, CBF-mALFF and CBF-mReHo may serve as promising indicators to reflect NV coupling state and to explain the T2DM related early cognitive impairment.Entities:
Keywords: Cognitive impairment; Default mode network; Executive function; Neurovascular coupling; Type 2 diabetes mellitus
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Year: 2019 PMID: 31252056 DOI: 10.1016/j.neuroimage.2019.06.058
Source DB: PubMed Journal: Neuroimage ISSN: 1053-8119 Impact factor: 6.556