Correspondence:
[*]
Correspondence to: Jie Xiang, College of Information and Computer, Taiyuan University of Technology, No. 79, Yingze West Street, Taiyuan, 030024, Shanxi, China. E-mail: xiangjie@tyut.edu.cn and Tianyi Yan, School of Life Science, Beijing Institute of Technology, 100081 Beijing, China. E-mail: yantianyi@bit.edu.cn.
Note: [1] Data used in the preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (http://adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of the ADNI and/or provided data but did not participate in the analysis or writing of this report. A complete list of ADNI investigators is available at: http://adni.loni.usc.edu/wpcontent/uploads/how_to_apply/ADNI_Acknowlconnectionment_List.pdf.
Abstract: Alzheimer’s disease (AD) disrupts the topological architecture of whole-brain connectivity. Minimum spanning tree (MST), which captures the most important connections in a network, has been considered an unbiased method for brain network analysis. However, the alterations in the MST of functional brain networks during the progression of AD remain unclear. Here, we performed an MST analysis to examine the alterations in functional networks among normal controls (NCs), mild cognitive impairment (MCI) patients, and AD patients. We identified substantial differences in the connections among the three groups. The maximum betweenness centrality, leaf number, and tree hierarchy of the MSTs showed significant group differences, indicating a more star-like topology in the MCI patients and a more line-like topology in the NCs and AD patients. These findings may correspond to changes in the core of the functional brain networks. For nodal properties (degree and betweenness centrality), we determined that brain regions around the cingulate gyrus, occipital lobes, subcortex, and inferior temporal gyrus showed significant differences among the three groups and contributed to the global topological alterations. The leaf number and tree hierarchy, as well as the nodal properties, were significantly correlated with clinical features in the MCI and AD patients, which demonstrated that more star-to-line topology changes were associated with worse cognitive performance in these patients. These findings indicated that MST properties could capture slight alterations in network topology, particularly for the differences between NCs and MCI patients, and may be applicable as neuroimaging markers of the early stage of AD.
Keywords: Alzheimer’s disease, brain networks, functional magnetic resonance imaging, mild cognitive impairment, minimum spanning tree
