Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milan, Italy.
Physiotherapy Unit, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089 Rozzano, Milan, Italy.
J Neural Eng. 2024 Jun 5;21(3). doi: 10.1088/1741-2552/ad4f17.
This study explores the changes in the organization of functional brain networks induced by performing a visuomotor integration task, as revealed by noninvasive spontaneous electroencephalographic traces (EEG).EEG data were acquired during the execution of the Nine Hole Peg Test (NHPT) with the dominant and non-dominant hands in a group of 44 right-handed volunteers. Both spectral analysis and phase-based connectivity analysis were performed in the theta (ϑ), mu (μ) and beta (ß) bands. Graph Theoretical Analysis (GTA) was also performed to investigate the topological reorganization induced by motor task execution.Spectral analysis revealed an increase of frontoparietal ϑ power and a spatially diffused reduction ofand ß contribution, regardless of the hand used. GTA showed a significant increase in network integration induced by movement performed with the dominant limb compared to baseline in the ϑ band. Theand ß bands were associated with a reduction in network integration during the NHPT. In therhythm, this result was more evident for the right-hand movement, while in the ß band, results did not show dependence on the laterality. Finally, correlation analysis highlighted an association between frequency-specific topology measures and task performance for both hands.Our results show that functional brain networks reorganize during visually guided movements in a frequency-dependent manner, differently depending on the hand used (dominant/non dominant).
这项研究利用非侵入性自发脑电图轨迹(EEG),探索了执行视动整合任务时功能大脑网络组织的变化。研究组招募了 44 名右利手志愿者,让他们用惯用手和非惯用手执行九孔钉板测试(NHPT),同时采集 EEG 数据。在θ(ϑ)、μ(μ)和β(ß)频段进行了谱分析和基于相位的连通性分析。还进行了图论分析(GTA),以研究运动任务执行引起的拓扑重新组织。谱分析显示,无论使用哪只手,额顶叶的θ功率增加,而和β的贡献在空间上扩散减少。与基线相比,GTA 显示在θ频段中,由主导肢体执行的运动引起的网络整合显著增加。在和ß频段中,网络整合在 NHPT 期间减少。在θ节律中,对于右手运动,这一结果更为明显,而在ß频段中,结果并不依赖于运动的侧别。最后,相关分析突出了特定于频率的拓扑测量与双手任务表现之间的关联。我们的研究结果表明,在视动引导运动中,功能大脑网络以频率依赖的方式重新组织,而这一过程取决于所使用的手(惯用手/非惯用手)。