• Neuroimaging Clin. N. Am. · Nov 2017

    Review

    Applications of Resting-State Functional Connectivity to Neurodegenerative Disease.

    • Juan Zhou, Siwei Liu, Kwun Kei Ng, and Juan Wang.
    • Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Programme, Duke-National University of Singapore Medical School, 8 College Road, #06-15, Singapore 169857, Singapore; Agency for Science, Technology and Research-National University of Singapore (A∗STAR-NUS), Clinical Imaging Research Centre, Centre for Translational Medicine (MD6), 14 Medical Drive, #B1-01, Singapore 117599, Singapore. Electronic address: helen.zhou@duke-nus.edu.sg.
    • Neuroimaging Clin. N. Am. 2017 Nov 1; 27 (4): 663-683.

    AbstractNeurodegenerative diseases target specific large-scale neuronal networks, leading to distinct behavioral and cognitive dysfunctions. Resting-state functional magnetic resonance imaging (rsfMR imaging)-based functional connectivity method maps symptoms-associated functional network deterioration in vivo. This article summarizes accumulating functional connectivity findings supporting the network-based neurodegeneration hypothesis. Understanding of disease mechanism can further guide early detection and predictions of disease progression and inform development of more effective treatment. With better clinical phenotyping and larger samples across multiple sites, we discuss several possible future directions to further develop rsfMR imaging-based functional connectivity methods into scientifically and clinically useful assays for neurodegenerative disorders.Copyright © 2017 Elsevier Inc. All rights reserved.

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