Acupuncture Alters Brain’s Dynamic Functional Network Connectivity in Stroke Patients with Motor Dysfunction: A Randomised Controlled Neuroimaging Trial

Objectives. Neuroimaging studies have confirmed that acupuncture can promote static functional reorganization in poststroke patients with motor dysfunction. But its effect on dynamic brain networks remains unclear. This study is aimed at investigating how acupuncture affected the brain’s dynamic fun...

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Main Authors: Yahui Wang, Mengxin Lu, Ruoyi Liu, Liping Wang, Yue Wang, Lingling Xu, Kang Wu, Chen Chen, Tianzhu Chen, Xinyue Shi, Kuangshi Li, Yihuai Zou
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Neural Plasticity
Online Access:http://dx.doi.org/10.1155/2023/8510213
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author Yahui Wang
Mengxin Lu
Ruoyi Liu
Liping Wang
Yue Wang
Lingling Xu
Kang Wu
Chen Chen
Tianzhu Chen
Xinyue Shi
Kuangshi Li
Yihuai Zou
author_facet Yahui Wang
Mengxin Lu
Ruoyi Liu
Liping Wang
Yue Wang
Lingling Xu
Kang Wu
Chen Chen
Tianzhu Chen
Xinyue Shi
Kuangshi Li
Yihuai Zou
author_sort Yahui Wang
collection DOAJ
description Objectives. Neuroimaging studies have confirmed that acupuncture can promote static functional reorganization in poststroke patients with motor dysfunction. But its effect on dynamic brain networks remains unclear. This study is aimed at investigating how acupuncture affected the brain’s dynamic functional network connectivity (dFNC) after ischemic stroke. Methods. We conducted a single-center, randomised controlled neuroimaging study in ischemic stroke patients. A total of 53 patients were randomly divided into the true acupoint treatment group (TATG) and the sham acupoint treatment group (SATG) at a ratio of 2 : 1. Clinical assessments and magnetic resonance imaging (MRI) scans were performed on subjects before and after treatment. We used dFNC analysis to estimate distinct dynamic connectivity states. Then, the temporal properties and strength of functional connectivity (FC) matrix were compared within and between the two groups. The correlation analysis between dynamic characteristics and clinical scales was also calculated. Results. All functional network connectivity (FNC) matrices were clustered into 3 connectivity states. After treatment, the TATG group showed a reduced mean dwell time and found attenuated FC between the sensorimotor network (SMN) and the frontoparietal network (FPN) in state 3, which was a sparsely connected state. The FC between the dorsal attention network (DAN) and the default mode network (DMN) was higher after treatment in the TATG group in state 1, which was a relative segregated state. The SATG group preferred to increase the mean dwell time and FC within FPN in state 2, which displayed a local tightly connected state. In addition, we found that the FC value increased between DAN and right frontoparietal network (RFPN) in state 1 in the TATG group after treatment compared to the SATG group. Correlation analyses before treatment showed that the Fugl-Meyer Assessment (FMA) lower score was negatively correlated with the mean dwell time in state 3. FMA score showed positive correlation with FC in RFPN-SMN in state 3. FMA-lower score was positively correlated with FC in DAN-DMN and DAN-RFPN in state 1. Conclusions. Acupuncture has the potential to modulate abnormal temporal properties and promote the balance of separation and integration of brain function. True acupoint stimulation may have a more positive effect on regulating the brain’s dynamic function. Clinical Trial Registration. This trial is registered with Chinese Clinical Trials Registry (ChiCTR1800016263).
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spelling doaj-art-dd64c19a6f604ef69815c724f03fc7a92025-08-20T03:26:29ZengWileyNeural Plasticity1687-54432023-01-01202310.1155/2023/8510213Acupuncture Alters Brain’s Dynamic Functional Network Connectivity in Stroke Patients with Motor Dysfunction: A Randomised Controlled Neuroimaging TrialYahui Wang0Mengxin Lu1Ruoyi Liu2Liping Wang3Yue Wang4Lingling Xu5Kang Wu6Chen Chen7Tianzhu Chen8Xinyue Shi9Kuangshi Li10Yihuai Zou11Department of NeurologyDepartment of NeurologyDepartment of NeurologyDepartment of NeurologyChina-Japan Friendship HospitalDepartment of NeurologyDepartment of NeurologyDepartment of NeurologyDepartment of NeurologyDepartment of NeurologyDepartment of NeurologyDepartment of NeurologyObjectives. Neuroimaging studies have confirmed that acupuncture can promote static functional reorganization in poststroke patients with motor dysfunction. But its effect on dynamic brain networks remains unclear. This study is aimed at investigating how acupuncture affected the brain’s dynamic functional network connectivity (dFNC) after ischemic stroke. Methods. We conducted a single-center, randomised controlled neuroimaging study in ischemic stroke patients. A total of 53 patients were randomly divided into the true acupoint treatment group (TATG) and the sham acupoint treatment group (SATG) at a ratio of 2 : 1. Clinical assessments and magnetic resonance imaging (MRI) scans were performed on subjects before and after treatment. We used dFNC analysis to estimate distinct dynamic connectivity states. Then, the temporal properties and strength of functional connectivity (FC) matrix were compared within and between the two groups. The correlation analysis between dynamic characteristics and clinical scales was also calculated. Results. All functional network connectivity (FNC) matrices were clustered into 3 connectivity states. After treatment, the TATG group showed a reduced mean dwell time and found attenuated FC between the sensorimotor network (SMN) and the frontoparietal network (FPN) in state 3, which was a sparsely connected state. The FC between the dorsal attention network (DAN) and the default mode network (DMN) was higher after treatment in the TATG group in state 1, which was a relative segregated state. The SATG group preferred to increase the mean dwell time and FC within FPN in state 2, which displayed a local tightly connected state. In addition, we found that the FC value increased between DAN and right frontoparietal network (RFPN) in state 1 in the TATG group after treatment compared to the SATG group. Correlation analyses before treatment showed that the Fugl-Meyer Assessment (FMA) lower score was negatively correlated with the mean dwell time in state 3. FMA score showed positive correlation with FC in RFPN-SMN in state 3. FMA-lower score was positively correlated with FC in DAN-DMN and DAN-RFPN in state 1. Conclusions. Acupuncture has the potential to modulate abnormal temporal properties and promote the balance of separation and integration of brain function. True acupoint stimulation may have a more positive effect on regulating the brain’s dynamic function. Clinical Trial Registration. This trial is registered with Chinese Clinical Trials Registry (ChiCTR1800016263).http://dx.doi.org/10.1155/2023/8510213
spellingShingle Yahui Wang
Mengxin Lu
Ruoyi Liu
Liping Wang
Yue Wang
Lingling Xu
Kang Wu
Chen Chen
Tianzhu Chen
Xinyue Shi
Kuangshi Li
Yihuai Zou
Acupuncture Alters Brain’s Dynamic Functional Network Connectivity in Stroke Patients with Motor Dysfunction: A Randomised Controlled Neuroimaging Trial
Neural Plasticity
title Acupuncture Alters Brain’s Dynamic Functional Network Connectivity in Stroke Patients with Motor Dysfunction: A Randomised Controlled Neuroimaging Trial
title_full Acupuncture Alters Brain’s Dynamic Functional Network Connectivity in Stroke Patients with Motor Dysfunction: A Randomised Controlled Neuroimaging Trial
title_fullStr Acupuncture Alters Brain’s Dynamic Functional Network Connectivity in Stroke Patients with Motor Dysfunction: A Randomised Controlled Neuroimaging Trial
title_full_unstemmed Acupuncture Alters Brain’s Dynamic Functional Network Connectivity in Stroke Patients with Motor Dysfunction: A Randomised Controlled Neuroimaging Trial
title_short Acupuncture Alters Brain’s Dynamic Functional Network Connectivity in Stroke Patients with Motor Dysfunction: A Randomised Controlled Neuroimaging Trial
title_sort acupuncture alters brain s dynamic functional network connectivity in stroke patients with motor dysfunction a randomised controlled neuroimaging trial
url http://dx.doi.org/10.1155/2023/8510213
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