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      Resting-state abnormalities in functional connectivity of the default mode network in migraine: A meta-analysis

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          Abstract

          Migraine—a disabling neurological disorder, imposes a tremendous burden on societies. To reduce the economic and health toll of the disease, insight into its pathophysiological mechanism is key to improving treatment and prevention. Resting-state functional magnetic resonance imaging (rs-fMRI) studies suggest abnormal functional connectivity (FC) within the default mode network (DMN) in migraine patients. This implies that DMN connectivity change may represent a biomarker for migraine. However, the FC abnormalities appear inconsistent which hinders our understanding of the potential neuropathology. Therefore, we performed a meta-analysis of the FC within the DMN in migraine patients in the resting state to identify the common FC abnormalities. With efficient search and selection strategies, nine studies (published before July, 2022) were retrieved, containing 204 migraine patients and 199 healthy subjects. We meta-analyzed the data using the Anisotropic Effect Size version of Signed Differential Mapping (AES-SDM) method. Compared with healthy subjects, migraine patients showed increased connectivity in the right calcarine gyrus, left inferior occipital gyrus, left postcentral gyrus, right cerebellum, right parahippocampal gyrus, and right posterior cingulate gyrus, while decreased connectivity in the right postcentral gyrus, left superior frontal gyrus, right superior occipital gyrus, right orbital inferior frontal gyrus, left middle occipital gyrus, left middle frontal gyrus and left inferior frontal gyrus. These results provide a new perspective for the study of the pathophysiology of migraine and facilitate a more targeted treatment of migraine in the future.

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          Bias in meta-analysis detected by a simple, graphical test

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            The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration

            Systematic reviews and meta-analyses are essential to summarise evidence relating to efficacy and safety of healthcare interventions accurately and reliably. The clarity and transparency of these reports, however, are not optimal. Poor reporting of systematic reviews diminishes their value to clinicians, policy makers, and other users. Since the development of the QUOROM (quality of reporting of meta-analysis) statement—a reporting guideline published in 1999—there have been several conceptual, methodological, and practical advances regarding the conduct and reporting of systematic reviews and meta-analyses. Also, reviews of published systematic reviews have found that key information about these studies is often poorly reported. Realising these issues, an international group that included experienced authors and methodologists developed PRISMA (preferred reporting items for systematic reviews and meta-analyses) as an evolution of the original QUOROM guideline for systematic reviews and meta-analyses of evaluations of health care interventions. The PRISMA statement consists of a 27-item checklist and a four-phase flow diagram. The checklist includes items deemed essential for transparent reporting of a systematic review. In this explanation and elaboration document, we explain the meaning and rationale for each checklist item. For each item, we include an example of good reporting and, where possible, references to relevant empirical studies and methodological literature. The PRISMA statement, this document, and the associated website (www.prisma-statement.org/) should be helpful resources to improve reporting of systematic reviews and meta-analyses.
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              Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials

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                Author and article information

                Contributors
                Journal
                Front Neurosci
                Front Neurosci
                Front. Neurosci.
                Frontiers in Neuroscience
                Frontiers Media S.A.
                1662-4548
                1662-453X
                01 March 2023
                2023
                : 17
                : 1136790
                Affiliations
                [1] 1School of Psychology, Zhejiang Normal University , Jinhua, China
                [2] 2Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University , Jinhua, China
                [3] 3Department of Radiology, Changshu No.2 People’s Hospital, The Affiliated Changshu Hospital of Xuzhou Medical University , Changshu, Jiangsu, China
                [4] 4School of Western Languages, Heilongjiang University , Harbin, China
                Author notes

                Edited by: Mingrui Xia, Beijing Normal University, China

                Reviewed by: Bo Hu, Fourth Military Medical University, China; Huaibin Liang, Shanghai Jiao Tong University, China; Lin-Feng Yan, Air Force Medical University, China

                *Correspondence: Jun Ren, renj@ 123456zjnu.cn

                These authors have contributed equally to this work and share first authorship

                This article was submitted to Brain Imaging Methods, a section of the journal Frontiers in Neuroscience

                Article
                10.3389/fnins.2023.1136790
                10014826
                36937687
                0b7a0b60-1aa8-4e5b-9db1-9cc2211aa06b
                Copyright © 2023 Hu, Hao, Li, Zhao, Wen, Gao, Wang, Xi, Antwi, Jia and Ren.

                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
                : 03 January 2023
                : 15 February 2023
                Page count
                Figures: 2, Tables: 2, Equations: 0, References: 106, Pages: 12, Words: 9511
                Funding
                Funded by: National Natural Science Foundation of China, doi 10.13039/501100001809;
                This project was supported by the Open Research Fund of College of Teacher Education, Zhejiang Normal University (No. jykf22011), and National Natural Science Foundation of China (No. 82001898).
                Categories
                Neuroscience
                Review

                Neurosciences
                migraine,meta-analysis,resting-state functional magnetic resonance imaging,default mode network,functional connectivity

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