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股骨头坏死患者的高阶脑网络异常:静息态功能磁共振成像的独立成分分析

High-order Brain Networks Abnormalities in Osteonecrosis of the Femoral Head Patients: An Independent Component Analysis of Resting-state fMRI.

作者信息

Xing Xiang-Xin, Hua Xu-Yun, Zheng Mou-Xiong, Feng Sheng-Yi, Huo Bei-Bei, Wu Jia-Jia, Ma Jie, Xu Jian-Guang

机构信息

School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.

Department of Traumatology and Orthopedics, Yueyang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.

出版信息

Pain Physician. 2022 Dec;25(9):E1475-E1484.

Abstract

BACKGROUND

Patients with osteonecrosis of the femoral head  commonly present with sensorimotor anomalies. With independent component analysis, it is possible to explore the intrinsic alternations in highly specific functional networks. We used independent component analysis to examine the intrinsic changes and interactive connectivity between related functional resting-state networks.

OBJECTIVE

The purpose of this study was to strengthen the theoretical basis of brain plasticity after osteonecrosis of the femoral head to provide new insights into clinical treatment.

STUDY DESIGN

Observational study.

SETTING

School of rehabilitation science of a university.

METHODS

Functional magnetic resonance imaging data were acquired from 14 patients with osteonecrosis of the femoral head and 20 healthy controls. All the data underwent preprocessing and analysis of the intrinsic brain functional connectivity within and between resting-state networks.

RESULTS

Nine resting-state networks were identified via independent component analysis. When compared to healthy controls, the osteonecrosis of the femoral head patients showed abnormal activity in these networks. With respect to the internetwork interactions, increased functional connectivity  was detected between the sensorimotor network and right frontoparietal network and between the dorsal attention network and frontoparietal network bilaterally.

LIMITATIONS

This study was a cross-sectional design. A longitudinal study of the dynamic changes in multinetwork functional connectivity can help to elucidate the central mechanisms of osteonecrosis of the femoral head.

CONCLUSIONS

This study investigated the alterations in resting-state network functional connectivity in osteonecrosis of the femoral head patients. Examining the large-scale functional reorganization in osteonecrosis of the femoral head patients may be helpful for us to understand the pathological mechanisms underlying dysfunction and shed light on potential behavioral treatments for osteonecrosis of the femoral head based on functional magnetic resonance imaging in clinical practice. Understanding the mechanisms of the disease may shed light on potential behavioral treatments for patients with osteonecrosis of the femoral head based on functional magnetic resonance imaging findings.

摘要

背景

股骨头坏死患者通常存在感觉运动异常。通过独立成分分析,可以探索高度特异性功能网络中的内在变化。我们使用独立成分分析来检查相关功能静息态网络之间的内在变化和交互连接性。

目的

本研究旨在强化股骨头坏死后脑可塑性的理论基础,为临床治疗提供新的见解。

研究设计

观察性研究。

研究地点

一所大学的康复科学学院。

方法

从14例股骨头坏死患者和20名健康对照者获取功能磁共振成像数据。所有数据均进行预处理,并分析静息态网络内部和之间的脑功能内在连接性。

结果

通过独立成分分析识别出9个静息态网络。与健康对照相比,股骨头坏死患者在这些网络中表现出异常活动。在网络间交互方面,感觉运动网络与右侧额顶叶网络之间以及双侧背侧注意网络与额顶叶网络之间的功能连接性增加。

局限性

本研究为横断面设计。对多网络功能连接动态变化的纵向研究有助于阐明股骨头坏死的中枢机制。

结论

本研究调查了股骨头坏死患者静息态网络功能连接的改变。研究股骨头坏死患者的大规模功能重组可能有助于我们理解功能障碍背后的病理机制,并为基于功能磁共振成像的股骨头坏死临床行为治疗提供潜在线索。了解疾病机制可能为基于功能磁共振成像结果的股骨头坏死患者潜在行为治疗提供线索。

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