中国神经再生研究(英文版) ›› 2022, Vol. 17 ›› Issue (12): 2725-2729.doi: 10.4103/1673-5374.339496

• 原著:脑损伤修复保护与再生 • 上一篇    下一篇

上肢截肢者大脑网络内和网络间功能连接的改变:独立成分分析

  

  • 出版日期:2022-12-15 发布日期:2022-05-05
  • 基金资助:
    国家自然科学基金,上海市教委基金支持

Altered intra- and inter-network brain functional connectivity in upper-limb amputees revealed through independent component analysis

Bing-Bo Bao1, #, Hong-Yi Zhu1, #, Hai-Feng Wei1, Jing Li2, Zhi-Bin Wang2, Yue-Hua Li2, Xu-Yun Hua3, Mou-Xiong Zheng3, Xian-You Zheng1, *   

  1. 1Department of Orthopedic Surgery, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China; 2Institute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China; 3Department of Traumatology and Orthopedics, Yueyang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
  • Online:2022-12-15 Published:2022-05-05
  • Contact: Xian-You Zheng, MD, PhD, zhengxianyou@126.com.
  • Supported by:
    This study was supported by the National Natural Science Foundation of China, No. 81974331 (to XYZ), Shanghai Municipal Education Commission-Gaofeng Clinical Medicine Grant, No. 20161429 (to XYZ).

摘要:

研究已发现截肢患者大脑存在神经可塑性,但人们对上肢截肢后大脑中的网络功能重组是如何发生的了解甚少。为分析上肢截肢者(ULA)的大脑网络功能连接(FC)的改变,开展涉及40例上肢截肢者和40名健康对照受试者的观察性研究。对受试者进行静息态功能磁共振成像,并使用独立成分分析和脑网络FC分析对上肢截肢者的网络内和网络间FC的变化进行量化;同时分析FC与临床表现之间的相关性。结果用独立成分分析法确定了11个独立成分。在上肢截肢者中,网络内FC在背侧注意网络内的左侧楔前区和听觉网络内的左侧中枢前区有所下降,但在腹侧感觉运动网络内的左侧Parietal_Inf、腹侧注意网络内的右侧Cerebelum_Crus2和左侧Temporal_Mid以及听觉网络内的左侧Rolandic_Oper有所增加。上肢截肢者还表现为背侧和腹侧感觉运动网络、背侧感觉运动网络和右侧额顶网络以及背侧感觉运动网络和背侧注意网络之间的网络间FCs减少。相关分析显示,网络间FC的变化与残肢痛和幻肢痛评分之间存在负相关,但与残肢的日常活动时间存在正相关。这些结果表明,肢体残缺后的可塑性并不局限于局部重塑;相反,它还发生在几个皮质区域的网络水平上。这一观察为上肢截肢后大脑网络的可塑性提供了新的见解,也为寻找截肢后疼痛的机制提供了新的途径。

https://orcid.org/0000-0002-9770-5394 (Xian-You Zheng)

Abstract: Although cerebral neuroplasticity following amputation has been observed, little is understood about how network-level functional reorganization occurs in the brain following upper-limb amputation. The objective of this study was to analyze alterations in brain network functional connectivity (FC) in upper-limb amputees (ULAs). This observational study included 40 ULAs and 40 healthy control subjects; all participants underwent resting-state functional magnetic resonance imaging. Changes in intra- and inter-network FC in ULAs were quantified using independent component analysis and brain network FC analysis. We also analyzed the correlation between FC and clinical manifestations, such as pain. We identified 11 independent components using independent component analysis from all subjects. In ULAs, intra-network FC was decreased in the left precuneus (precuneus gyrus) within the dorsal attention network and left precentral (precentral gyrus) within the auditory network; but increased in the left Parietal_Inf (inferior parietal, but supramarginal and angular gyri) within the ventral sensorimotor network, right Cerebelum_Crus2 (crus II of cerebellum) and left Temporal_Mid (middle temporal gyrus) within the ventral attention network, and left Rolandic_Oper (rolandic operculum) within the auditory network. ULAs also showed decreased inter-network FCs between the dorsal sensorimotor network and ventral sensorimotor network, the dorsal sensorimotor network and right frontoparietal network, and the dorsal sensorimotor network and dorsal attention network. Correlation analyses revealed negative correlations between inter-network FC changes and residual limb pain and phantom limb pain scores, but positive correlations between inter-network FC changes and daily activity hours of stump limb. These results show that post-amputation plasticity in ULAs is not restricted to local remapping; rather, it also occurs at a network level across several cortical regions. This observation provides additional insights into the plasticity of brain networks after upper-limb amputation, and could contribute to identification of the mechanisms underlying post-amputation pain.

Key words: amputation, functional connectivity, functional magnetic resonance imaging, independent component analysis, neuroimaging, phantom pain, phantom sensation, resting-state networks