https://ojs.bbwpublisher.com/index.php/BAS/issue/feedBone and Arthrosurgery Science2025-08-19T15:30:29+08:00Open Journal Systems<p style="text-align: justify;"><em>Bone and Arthrosurgery Science</em> is a peer-reviewed journal across a wide spectrum of clinical treatise, basic research, review, frontier of orthopedics, case analysis and comment. This journal is aimed at professionals at all levels engaged in the basic and clinical work of orthopedics. Each issue is guest-edited by an acknowledged expert and focuses on a single topic or controversy. </p> <p style="text-align: justify;">It mainly reports new viewpoints, new achievements and new technologies in basic and clinical research of bone and joint surgery. The covered topics include, but are not limited to: sports medicine and arthroscopy, prosthetic design, biomechanics, biomaterials, metallurgy, biologic response to arthroplasty materials <em>in vivo</em> and <em>in vitro</em>.</p>https://ojs.bbwpublisher.com/index.php/BAS/article/view/11687Abnormal Brain Connectivity Networks in Patients with Knee Osteoarthritis: A Resting-state Functional MRI Study2025-08-19T15:30:29+08:00Huajuan Yangcp.mao@xjtu.edu.cnLei Zhangteam@bbwpublisher.comBo Zhangteam@bbwpublisher.comXiaoqian Zhouteam@bbwpublisher.comHuizhi Miteam@bbwpublisher.comJie Liteam@bbwpublisher.comCuiping Maoteam@bbwpublisher.com<p><em>Background</em>: Resting-state functional connectivity (FC) has been nominated as an effective method for elucidating the neural mechanisms underlying chronic pain. To date, whole-brain FC alterations in chronic knee osteoarthritis (KOA) remain largely unknown. <em>Purpose</em>: To investigate the functional connectivity patterns across the entire brain in patients with knee osteoarthritis (KOA) using resting-state functional magnetic resonance imaging (rs-fMRI). <em>Methods</em>: The current rs-fMRI analysis included 56 well-characterized KOA patients and 20 healthy controls (HCs), with data obtained from OpenNeuro. To identify aberrant topological organization in the brains of KOA patients, the study employed a graph theoretical approach. Additionally, the independent component analysis was conducted to characterize both intra-network and inter-network brain connectivity in these individuals. <strong><em>Results</em></strong>: Both the KOA cohort and healthy control cohort exhibited small-world characteristics in brain functional networks. Additionally, compared to HCs, KOA patients showed altered global properties, specifically characterized by reduced global efficiency and increased assortativity. At the nodal level, the KOA patients exhibited decreased degree centrality and betweenness centrality in the right thalamus. Furthermore, independent component analysis indicated abnormal FC within the anterior default mode network (DMN) and salience network (SN) in this patient cohort. The inter-network interactions did not show intergroup differences after multiple-test correction. <em>Conclusion:</em> The widespread functional abnormalities observed from a whole-brain network perspective in subjects with KOA pain may provide more comprehensive insights and reinforce the grasp of the neural mechanisms underpinning KOA.</p>2025-08-19T15:30:29+08:00Copyright (c) 2025 Author(s)