Massion J. Postural control system. Curr Opin Neurobiol. 1994;4(6):877–87. https://doi.org/10.1016/0959-4388(94)90137-6.

Article  CAS  PubMed  Google Scholar 

Choi SD, Guo L, Kang D, Xiong S. Exergame technology and interactive interventions for elderly fall prevention: a systematic literature review. Appl Ergon. 2017;65:570–81. https://doi.org/10.1016/j.apergo.2016.10.013.

Article  PubMed  Google Scholar 

Sundermier L, Woollacott MH, Jensen JL, Moore S. Postural sensitivity to visual flow in aging adults with and without balance problems. J Gerontol A Biol Sci Med Sci. 1996;51(2):M45-52.

Article  CAS  PubMed  Google Scholar 

McChesney JW, Woollacott MH. The effect of age-related declines in proprioception and total knee replacement on postural control. J Gerontol A Biol Sci Med Sci. 2000;55(11):M658-666. https://doi.org/10.1093/gerona/55.11.m658.

Article  CAS  PubMed  Google Scholar 

Schwenk M, Grewal GS, Honarvar B, Schwenk S, Mohler J, Khalsa DS, Najafi B. Interactive balance training integrating sensor-based visual feedback of movement performance: a pilot study in older adults. J Neuroeng Rehabil. 2014;11:164. https://doi.org/10.1186/1743-0003-11-164.

Article  PubMed  PubMed Central  Google Scholar 

Chen YC, Chou YC, Hwang IS. Reliance on visual input for balance skill transfer in older adults: EEG connectome analysis using minimal spanning tree. Front Aging Neurosci. 2021;13: 632553.

Article  PubMed  PubMed Central  Google Scholar 

Chen YC, Huang CC, Zhao CG, Hwang IS. Visual effect on brain connectome that scales feedforward and feedback processes of aged postural system during unstable stance. Front Aging Neurosci. 2021;13: 679412. https://doi.org/10.3389/fnagi.2021.679412.

Article  PubMed  PubMed Central  Google Scholar 

Chen YC, Chang GC, Huang WM, Hwang IS. Quick balance skill improvement after short-term training with error amplification feedback for older adults. NPJ Sci Learn. 2023;8(1):3. https://doi.org/10.1038/s41539-022-00151-w.

Article  PubMed  PubMed Central  Google Scholar 

Peterson SM, Rios E, Ferris DP. Transient visual perturbations boost short-term balance learning in virtual reality by modulating electrocortical activity. J Neurophysiol. 2018;120(4):1998–2010. https://doi.org/10.1152/jn.00292.2018.

Article  PubMed  PubMed Central  Google Scholar 

Peterson SM, Ferris DP. Differentiation in theta and beta electrocortical activity between visual and physical perturbations to walking and standing balance. eNeuro. 2018;5(4):ENEURO.0207–18.2018. https://doi.org/10.1523/ENEURO.0207-18.2018.

Sherman DA, Lehmann T, Baumeister J, Grooms DR, Norte GE. Somatosensory perturbations influence cortical activity associated with single-limb balance performance. Exp Brain Res. 2022;240(2):407–20. https://doi.org/10.1007/s00221-021-06260-z.

Article  PubMed  Google Scholar 

Gebel A, Lehmann T, Granacher U. Balance task difficulty affects postural sway and cortical activity in healthy adolescents. Exp Brain Res. 2020;238(5):1323–33. https://doi.org/10.1007/s00221-020-05810-1.

Article  PubMed  PubMed Central  Google Scholar 

Wang G, Yang Y, Wang J, Hao Z, Luo X, Liu J. Dynamic changes of brain networks during standing balance control under visual conflict. Front Neurosci. 2022;16:1003996. https://doi.org/10.3389/fnins.2022.1003996.

Article  PubMed  PubMed Central  Google Scholar 

Barollo F, Hassan M, Petersen H, Rigoni I, Ramon C, Gargiulo P, Fratini A. Cortical pathways during postural control: new insights from functional EEG source connectivity. IEEE Trans Neural Syst Rehabil Eng. 2022;30:72–84. https://doi.org/10.1109/TNSRE.2022.3140888.

Article  PubMed  Google Scholar 

Stam CJ, Tewarie P, Van Dellen E, van Straaten EC, Hillebrand A, Van Mieghem P. The trees and the forest: characterization of complex brain networks with minimum spanning trees. Int J Psychophysiol. 2014;92(3):129–38. https://doi.org/10.1016/j.ijpsycho.2014.04.001.

Article  CAS  PubMed  Google Scholar 

Mandke K, Meier J, Brookes MJ, O’Dea RD, Van Mieghem P, Stam CJ, et al. Comparing multilayer brain networks between groups: introducing graph metrics and recommendations. Neuroimage. 2018;166:371–84. https://doi.org/10.1016/j.neuroimage.2017.11.016.

Article  PubMed  Google Scholar 

Van Dellen E, Sommer IE, Bohlken MM, Tewarie P, Draaisma L, Zalesky A, et al. Minimum spanning tree analysis of the human connectome. Hum Brain Mapp. 2018;39(6):2455–71. https://doi.org/10.1002/hbm.24014.

Article  PubMed  PubMed Central  Google Scholar 

van Diessen E, Numan T, van Dellen E, van der Kooi AW, Boersma M, Hofman D, van Lutterveld R, van Dijk BW, van Straaten EC, Hillebrand A, Stam CJ. Opportunities and methodological challenges in EEG and MEG resting state functional brain network research. Clin Neurophysiol. 2015;126(8):1468–81.

Article  PubMed  Google Scholar 

Ramdani S, Seigle B, Lagarde J, Bouchara F, Bernard PL. On the use of sample entropy to analyze human postural sway data. Med Eng Phys. 2009;31(8):1023–31. https://doi.org/10.1016/j.medengphy.2009.06.004.

Article  PubMed  Google Scholar 

Borg FG, Laxaback G. Entropy of balance–some recent results. J Neuroeng Rehabil. 2010;7:38. https://doi.org/10.1186/1743-0003-7-38.

Article  PubMed  PubMed Central  Google Scholar 

Donker SF, Roerdink M, Greven AJ, Beek PJ. Regularity of center-of-pressure trajectories depends on the amount of attention invested in postural control. Exp Brain Res. 2007;181(1):1–11. https://doi.org/10.1007/s00221-007-0905-4.

Article  PubMed  PubMed Central  Google Scholar 

Jung TP, Makeig S, Humphries C, Lee TW, McKeown MJ, Iragui V, Sejnowski TJ. Removing electroencephalographic artifacts by blind source separation. Psychophysiology. 2000;37(2):163–78.

Article  CAS  PubMed  Google Scholar 

Joyce CA, Gorodnitsky IF, Kutas M. Automatic removal of eye movement and blink artifacts from EEG data using blind component separation. Psychophysiology. 2004;41(2):313–25. https://doi.org/10.1111/j.1469-8986.2003.00141.x.

Article  PubMed  Google Scholar 

Rogasch NC, Sullivan C, Thomson RH, Rose NS, Bailey NW, Fitzgerald PB, Farzan F, Hernandez-Pavon JC. Analysing concurrent transcranial magnetic stimulation and electroencephalographic data: a review and introduction to the open-source TESA software. Neuroimage. 2017;147:934–51. https://doi.org/10.1016/j.neuroimage.2016.10.031.

Article  PubMed  Google Scholar 

Stam CJ, Nolte G, Daffertshofer A. Phase lag index: assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources. Hum Brain Mapp. 2007;28(11):1178–93. https://doi.org/10.1002/hbm.20346.

Article  PubMed  PubMed Central  Google Scholar 

Tewarie P, Hillebrand A, Schoonheim MM, van Dijk BW, Geurts JJ, Barkhof F, et al. Functional brain network analysis using minimum spanning trees in multiple sclerosis: an MEG source-space study. Neuroimage. 2014;88:308–18. https://doi.org/10.1016/j.neuroimage.2013.10.022.

Article  CAS  PubMed  Google Scholar 

Varghese JP, Staines WR, McIlroy WE. Activity in functional cortical networks temporally associated with postural instability. Neuroscience. 2019;401:43–58. https://doi.org/10.1016/j.neuroscience.2019.01.008.

Article  CAS  PubMed  Google Scholar 

Niso G, Bruña R, Pereda E, Gutiérrez R, Bajo R, Maestú F, et al. HERMES: towards an integrated toolbox to characterize functional and effective brain connectivity. Neuroinformatics. 2013;11(4):405–34. https://doi.org/10.1007/s12021-013-9186-1.

Article  PubMed  Google Scholar 

Rubinov M, Sporns O. Complex network measures of brain connectivity: uses and interpretations. Neuroimage. 2010;52:1059–69. https://doi.org/10.1016/j.neuroimage.2009.10.003.

Article  PubMed  Google Scholar 

Cabrera JL, Milton JG. On-off intermittency in a human balancing task. Phys Rev Lett. 2002;89(15): 158702. https://doi.org/10.1103/PhysRevLett.89.158702.