title: Changes of Cerebral Perfusion and Functional Brain Network Organization in Patients with Mild Cognitive Impairment.
abstract: Disruptions of the functional brain network and cerebral blood flow (CBF) have been revealed in patients with mild cognitive impairment (MCI). However, the neurophysiological mechanism of hypoperfusion as well as the reorganization of the intrinsic whole brain network due to the neuropathology of MCI are still unclear. In this study, we aimed to investigate the changes of CBF and the whole brain network organization in MCI by using a multimodal MRI approach. Resting state ASL MRI and BOLD MRI were used to evaluate disruptions of CBF and underlying functional connectivity in 27 patients with MCI and 35 cognitive normal controls (NC). The eigenvector centrality mapping (ECM) was used to assess the whole brain network reorganization in MCI, and a seed-based ECM approach was proposed to reveal the contributions of the whole brain network on the ECM alterations. Significantly decreased perfusion in the posterior parietal cortex as well as its connectivity within the default mode network and occipital cortex were found in the MCI group compared to the NC group. The ECM analysis revealed decreased EC in the middle cingulate cortex, parahippocampal gyrus, medial frontal gyrus, and increased EC in the right calcarine sulcus, superior temporal gyrus, and supplementary motor area in the MCI group. The results of this study indicate that there are deficits in cerebral blood flow and functional connectivity in the default mode network, and that sensory-processing networks might play a compensatory role to make up for the decreased connections in MCI.
authors: Research Center for Medical Image Computing, Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong SAR.
authors: Wutao
authors: W
authors: Lou
authors: Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR.|Chow Yuk Ho Technology Centre for Innovative Medicine, The Chinese University of Hong Kong, Hong Kong SAR.
authors: Lin
authors: L
authors: Shi
authors: Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR.
authors: Adrian
authors: A
authors: Wong
authors: Research Center for Medical Image Computing, Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong SAR.|Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.
authors: Winnie C W
authors: WC
authors: Chu
authors: Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR.|Chow Yuk Ho Technology Centre for Innovative Medicine, The Chinese University of Hong Kong, Hong Kong SAR.
authors: Vincent C T
authors: VC
authors: Mok
authors: Research Center for Medical Image Computing, Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong SAR.|Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.
authors: Defeng
authors: D
authors: Wang
mesh_terms: D000368:Aged; D001921:Brain / Q000000981:diagnostic imaging / Q000503:physiopathology*; D001931:Brain Mapping; D002560:Cerebrovascular Circulation / Q000502:physiology*; D060825:Cognitive Dysfunction / Q000000981:diagnostic imaging / Q000503:physiopathology*; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D064847:Multimodal Imaging; D009434:Neural Pathways / Q000000981:diagnostic imaging / Q000503:physiopathology; D010100:Oxygen / Q000097:blood; D012146:Rest
chemical_list: D010100:Oxygen
keywords: Cerebral blood flow; eigenvector centrality; functional MRI; functional connectivity; mild cognitive impairment