Dynamic network connectivity predicts subjective cognitive decline: the Sino-Longitudinal Cognitive impairment and demen
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ORIGINAL RESEARCH
Dynamic network connectivity predicts subjective cognitive decline: the Sino-Longitudinal Cognitive impairment and dementia study Guozhao Dong 1 & Liu Yang 2 & Chiang-shan R. Li 3,4 & Xiaoni Wang 2 & Yihe Zhang 1 & Wenying Du 2 & Ying Han 2,5 & Xiaoying Tang 1
# Springer Science+Business Media, LLC, part of Springer Nature 2019
Abstract Subjective cognitive decline (SCD) is the preclinical stage of Alzheimer’s disease (AD), the most common neurodegenerative disease in the elderly. We collected resting-state functional MRI data and applied novel graph-theoretical analyses to investigate the dynamic spatiotemporal cerebral connectivities in 63 individuals with SCD and 67 normal controls (NC). Temporal flexibility and spatiotemporal diversity were mapped to reflect dynamic time-varying functional interactions among the brain regions within and outside communities. Temporal flexibility indicates how frequently a brain region interacts with regions of other communities across time; spatiotemporal diversity describes how evenly a brain region interacts with regions belonging to other communities. SCD and NC differed in large-scale brain dynamics characterized by the two measures, which, with support vector machine, demonstrated higher classification accuracies than conventional static parameters and structural metrics. The findings characterize dynamic network dysfunction that may serve as a biomarker of the preclinical stage of AD. Keywords Alzheimer’s disease . Subjective cognitive decline . Resting-state functional MRI . Temporal flexibility . Spatiotemporal diversity
Abbreviations AD Alzheimer’s disease SCD Subjective cognitive decline rs-fMRI Resting-state functional magnetic resonance imaging NC Normal controls aMCI Amnestic mild cognitive impairment BOLD Blood oxygenation level-dependent SVM Support vector machines
HAMD AVLT-H AFT BNT STT-A STT-B MMSE MoCA-B
Hamilton depression rating scale Auditory Verbal Learning Test – HuaShan version Animal Fluency Test Boston Naming Test Shape Trails Test Parts A Shape Trails Test Parts B Mini–Mental State Examination Montreal Cognitive Assessment-basic
Guozhao Dong and Liu Yang contributed equally to this work. Electronic supplementary material The online version of this article (https://doi.org/10.1007/s11682-019-00220-6) contains supplementary material, which is available to authorized users. * Ying Han [email protected] * Xiaoying Tang [email protected] 1
Department of Biomedical Engineering, School of Life Science, Beijing Institute of technology, 5 South Zhongguancun Street, Beijing 100081, China
2
Department of Neurology, Xuanwu hospital of Capital Medical University, No.45 Street Changchun, District Xichen, Beijing 100053, China
3
Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
4
Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA
5
National Clinical Research Center for Geriatric Disorders, Beijing, China
Brain Imaging and Behavior
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