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Rich club disturbances of the human connectome from subjective cognitive decline to Alzheimer's disease

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      Alzheimer's disease (AD) has a preclinical phase that can last for decades prior to clinical dementia onset. Subjective cognitive decline (SCD) is regarded as the last preclinical AD stage prior to the development of amnestic mild cognitive decline (aMCI) and AD dementia (d-AD). The analysis of brain structural networks based on diffusion tensor imaging (DTI) has identified the so-called 'rich club', a set of cortical regions highly connected to each other, with other regions referred to as peripheral. It has been reported that rich club architecture is affected by regional atrophy and connectivity, which are reduced in patients with aMCI and d-AD.

      Methods: We recruited 62 normal controls, 47 SCD patients, 60 aMCI patients and 55 d-AD patients and collected DTI data to analyze rich-club organization.

      Results: We demonstrated that rich club organization was disrupted, with reduced structural connectivity among rich club nodes, in aMCI and d-AD patients but remained stable in SCD patients. In addition, SCD, aMCI and d-AD patients showed similar patterns of disrupted peripheral regions and reduced connectivity involving these regions, suggesting that peripheral regions might contribute to cognitive decline and that disruptions here could be regarded as an early marker of SCD. This organization could provide the fundamental structural architecture for complex cognitive functions and explain the low prevalence of cognitive problems in SCD patients.

      Conclusions: These findings reveal a disrupted pattern of the AD connectome that starts in peripheral regions and then hierarchically propagates to rich club regions, when patients show clinical symptoms. This pattern provides evidence that disruptions in rich club organization are a key factor in the progression of AD that can dynamically reflect the progression of AD, thus representing a potential biomarker for early diagnosis.

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            Author and article information

            [1 ]School of Life Science, Beijing Institute of Technology, Beijing, China;
            [2 ]Key Laboratory of Convergence Medical Engineering System and Healthcare Technology, The Ministry of Industry and Information Technology, Beijing Institute of Technology, Beijing, China;
            [3 ]Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China.
            [4 ]Banner Alzheimer's Institute and Banner Good Samaritan PET center, Phoenix, AZ, USA;
            [5 ]Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland, Baltimore, USA.
            [6 ]Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China;
            [7 ]Beijing Institute of Geriatrics, Beijing, China;
            [8 ]National Clinical Research Center for Geriatric Disorders, Beijing, China.
            Author notes
            ✉ Corresponding authors: Tianyi Yan, Email: yantianyi@ , Tel: 13070188777; Ying Han, Email: hanying@ , Tel: 18515692701

            *These authors have contributed equally to this work

            Competing Interests: The authors have declared that no competing interest exists.

            Ivyspring International Publisher (Sydney )
            11 May 2018
            : 8
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            : 3237-3255
            © Ivyspring International Publisher

            This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license ( See for full terms and conditions.

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