• Xiangyu Ma, Zhizheng Zhuo, Lijiang Wei, Zhe Ma, Zhaoxia Li, Haiyun Li, and Alzheimer's Disease Neuroimaging Initiative.
• School of Biomedical Engineering, Capital Medical University, Beijing, China; Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing 10069, China.
• Neuroscience. 2020 Jan 15; 425: 1-11.

AbstractThe alterations of dynamic brain functions in Alzheimer's disease (AD) remain far from well understood. In this study, using functional magnetic resonance imaging (fMRI) data, we adopted a co-activation pattern (CAP) approach, which relies on very few assumptions, to explore the differences of brain dynamics among healthy elderly, patients with early amnestic mild cognitive impairment (MCI) and patients with AD. Briefly, k-means clustering was applied to all fMRI frames from the three groups and generated a set of reproducible CAPs. We found the obtained CAPs showed high correspondence to the well acknowledged functional networks including default mode network (DMN), executive control network and visual networks, etc. Different from previous CAP-based studies, we further quantitatively analyzed the temporal dependence of the CAPs using multiple parameters. Primary findings include, for AD and MCI compared with NC, the decreased mean fraction of occurrence and persistence of DMN related CAPs, which indicates the typical DMN damage; the increased/decreased mean persistence of ventral/dorsal visual network related CAPs, which may associate with the visuospatial disorder of patients with AD pathology; the elevated transition and CAP entropies and multiple alterations of CAP transition probabilities, which imply the altered mode of information flow and lifted system uncertainty in AD brains. We also found correlations of proposed measurements to cerebrospinal fluid biomarkers and neuropsychological scores. This study verified the AD-related alteration found by traditional FC analysis, and proposed several new biomarkers which have the potential for assisting AD treatment and early diagnosis.Copyright © 2019 IBRO. Published by Elsevier Ltd. All rights reserved.

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