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      Structural network efficiency mediates the association between glymphatic function and cognition in mild VCI: a DTI-ALPS study

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          Abstract

          Background and objective: Vascular cognitive impairment (VCI) can be caused by multiple types of cerebrovascular pathology and is considered a network disconnection disorder. The heterogeneity hinders research progress in VCI. Glymphatic failure has been considered as a key common pathway to dementia recently. The emergence of a new method, Diffusion Tensor Image Analysis Along the Perivascular Space (DTI-ALPS), makes it possible to investigate the changes of the glymphatic function in humans non-invasively. We aimed to investigate alterations of glymphatic function in VCI and its potential impact on network connectivity.

          Methods: We recruited 79 patients with mild VCI, including 40 with cerebral small vessel disease cognitive impairment (SVCI) and 39 with post-stroke cognitive impairment (PSCI); and, 77 normal cognitive (NC) subjects were recruited. All subjects received neuropsychological assessments and multimodal magnetic resonance imaging scans. ALPS-index was calculated and structural networks were constructed by deterministic tractography, and then, the topological metrics of these structural connectivity were evaluated.

          Results: The ALPS-index of VCI patients was significantly lower than that of NC subjects ( P < 0.001). Multiple linear regression analysis showed that ALPS-index affects cognitive function independently ( β = 0.411, P < 0.001). The results of correlation analysis showed that the ALPS-index was correlated with overall vascular risk factor burden ( r = −0.263, P = 0.001) and multiple cerebrovascular pathologies ( P < 0.05). In addition, global efficiency (Eg) of network was correlated with ALPS-index in both SVCI ( r = 0.348, P = 0.028) and PSCI ( r = 0.732, P < 0.001) patients. Finally, the results of mediation analysis showed that Eg partially mediated in the impact of glymphatic dysfunction on cognitive impairment (indirect effect = 7.46, 95% CI 4.08–11.48).

          Conclusion: In both major subtypes of VCI, the ALPS-index was decreased, indicating impaired glymphatic function in VCI. Glymphatic dysfunction may affect cognitive function in VCI by disrupting network connectivity, and, may be a potential common pathological mechanism of VCI. ALPS-index is expected to become an emerging imaging marker for VCI.

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          Most cited references52

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          Complex brain networks: graph theoretical analysis of structural and functional systems.

          Recent developments in the quantitative analysis of complex networks, based largely on graph theory, have been rapidly translated to studies of brain network organization. The brain's structural and functional systems have features of complex networks--such as small-world topology, highly connected hubs and modularity--both at the whole-brain scale of human neuroimaging and at a cellular scale in non-human animals. In this article, we review studies investigating complex brain networks in diverse experimental modalities (including structural and functional MRI, diffusion tensor imaging, magnetoencephalography and electroencephalography in humans) and provide an accessible introduction to the basic principles of graph theory. We also highlight some of the technical challenges and key questions to be addressed by future developments in this rapidly moving field.
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            Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration

            Summary Cerebral small vessel disease (SVD) is a common accompaniment of ageing. Features seen on neuroimaging include recent small subcortical infarcts, lacunes, white matter hyperintensities, perivascular spaces, microbleeds, and brain atrophy. SVD can present as a stroke or cognitive decline, or can have few or no symptoms. SVD frequently coexists with neurodegenerative disease, and can exacerbate cognitive deficits, physical disabilities, and other symptoms of neurodegeneration. Terminology and definitions for imaging the features of SVD vary widely, which is also true for protocols for image acquisition and image analysis. This lack of consistency hampers progress in identifying the contribution of SVD to the pathophysiology and clinical features of common neurodegenerative diseases. We are an international working group from the Centres of Excellence in Neurodegeneration. We completed a structured process to develop definitions and imaging standards for markers and consequences of SVD. We aimed to achieve the following: first, to provide a common advisory about terms and definitions for features visible on MRI; second, to suggest minimum standards for image acquisition and analysis; third, to agree on standards for scientific reporting of changes related to SVD on neuroimaging; and fourth, to review emerging imaging methods for detection and quantification of preclinical manifestations of SVD. Our findings and recommendations apply to research studies, and can be used in the clinical setting to standardise image interpretation, acquisition, and reporting. This Position Paper summarises the main outcomes of this international effort to provide the STandards for ReportIng Vascular changes on nEuroimaging (STRIVE).
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              Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium

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                Author and article information

                Contributors
                Journal
                Front Aging Neurosci
                Front Aging Neurosci
                Front. Aging Neurosci.
                Frontiers in Aging Neuroscience
                Frontiers Media S.A.
                1663-4365
                16 November 2022
                2022
                : 14
                : 974114
                Affiliations
                [1] 1Department of Neurology, Zhongnan Hospital of Wuhan University , Wuhan, China
                [2] 2Department of Radiology, Zhongnan Hospital of Wuhan University , Wuhan, China
                Author notes

                Edited by: Aurel Popa-Wagner, University of Medicine and Pharmacy of Craiova, Romania

                Reviewed by: Minghuan Wang, Huazhong University of Science and Technology, China; Ruiwang Huang, South China Normal University, China; Xueping Liu, Shandong Provincial Hospital, China

                *Correspondence: Junjian Zhang wdsjkx@ 123456163.com Haibo Xu xuhaibo1120@ 123456hotmail.com

                These authors have contributed equally to this work

                Specialty section: This article was submitted to Neuroinflammation and Neuropathy, a section of the journal Frontiers in Aging Neuroscience

                Article
                10.3389/fnagi.2022.974114
                9708722
                36466598
                5b73e813-6e7a-4b02-81d8-7c8824606f53
                Copyright © 2022 Song, Ruan, Gao, Lv, Sun, Li, Zhang, Zhou, Xu and Zhang.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 20 June 2022
                : 27 October 2022
                Page count
                Figures: 4, Tables: 4, Equations: 1, References: 52, Pages: 12, Words: 9630
                Categories
                Aging Neuroscience
                Original Research

                Neurosciences
                vascular cognitive impairment,glymphatic system,structural network,global efficiency,cerebral small vessel disease,post stroke cognitive impairment

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