Cortical reorganization to improve dynamic balance control with error amplification feedback

Chen, Yi-Ching; Tsai, Yi-Ying; Chang, Guo‐En; Hwang, Ing Shiou

doi:10.1186/s12984-022-00980-1

Cited by 8 publications

(6 citation statements)

References 66 publications

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“…According to the cortical idling hypothesis, increases in alpha activity over the sensorimotor area are related to sluggish execution of movements ( Pfurtscheller et al, 1996 ). Analogous to visual occlusion in upright stance ( Goh et al, 2016 ), the intermittent visual feedback also brought about marked augmentation of the alpha power in the sensorimotor regions during stabilometer stance ( Figure 2B , middle), in relation to less visuospatial attention for postural tracking ( Chen et al, 2022 ). The EEG observation supported that visual reliance during stabilometer stance was downregulated by SV.…”

Section: Discussionmentioning

confidence: 95%

“…Previous researches showed that mid-frontal theta power is involved with the organization of goal-directed movements and postural balance maintenance ( Hulsdunker et al, 2015 ; Malcolm et al, 2021 ). When a subject was guided by visual feedback during stabilometer stance, the mid-frontal theta power was enhanced to elaborate worse outcomes even though the visualized errors were faked ( Chen et al, 2022 ). In this study, the smaller mid-frontal theta oscillation in the SV condition ( Figure 2B , top) implied that fewer error contexts were perceived by the older adults with intermittent blocking of visual feedback.…”

Section: Discussionmentioning

confidence: 99%

“…In addition to regional activities in the sensorimotor and visual cortex, posture control involves in coordinated processing of cortical activities within these spatially distinct areas, especially when the effect of visual cues is manipulated ( Chen et al, 2021a ; 2021b , 2022 ). By examining COP dynamics, regional/inter-regional EEG features, and COP-EEG interaction, this study investigated neuromechanical control of upright balance with stroboscopic vision for older people, while they were standing on a stabilometer surface with visual feedback.…”

Section: Introductionmentioning

confidence: 99%

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Adaptations of postural sway dynamics and cortical response to unstable stance with stroboscopic vision in older adults

et al. 2022

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Background: Stroboscopic vision (SV), intermittent visual blocking, has recently been incorporated into postural training in rehabilitation. This study investigated interactions of postural fluctuation dynamics and cortical processing for the elderly during stabilometer stance with SV.Methods: Thirty-five healthy elderly maintained an upright stance on a stabilometer. Along with postural fluctuation dynamics, EEG relative power and EEG-EEG connectivity were used to contrast neuromechanical controls of stabilometer stance with SV and full-vision.Results: Compared with the full-vision, SV led to greater postural fluctuations with lower sample entropy and mean frequency (MF). SV also reduced regional power in the mid-frontal theta cluster, which was correlated to SV-dependent changes in the size of postural fluctuations. SV also enhanced the alpha band supra-threshold connectivity in the visual dorsal and frontal–occipital loops of the right hemisphere, and the supra-threshold connectivity from Fp2 positively related to variations in the MF of postural fluctuations.Conclusion: SV adds challenge to postural regulation on the stabilometer, with the increasing regularity of postural movements and fewer corrective attempts to achieve the postural goal. The elderly shift over-reliance on visual inputs for posture control with more non-visual awareness, considering deactivation of the dorsal visual stream and visual error processing.

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Section: Discussionmentioning

confidence: 95%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adaptations of postural sway dynamics and cortical response to unstable stance with stroboscopic vision in older adults

et al. 2022

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“…The increased θ-connectivity and -power in the frontal and central areas are thought to be induced by errors that need to be controlled under uncertain circumstances (Cavanagh and Frank 2014), and to serve to facilitate sensory-motor processing for standing balance (Mierau et al . 2017; Chen et al 2022). Our findings support these notions and underline the importance of the θ-frequency band for standing balance.…”

Section: Discussionmentioning

confidence: 99%

Corticocortical and Corticomuscular Connectivity Dynamics in Standing Posture: Electroencephalography Study

Fujio,

Takeda,

Obata

et al. 2024

Preprint

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Cortical involvements, including those in the sensorimotor, frontal, and occipitoparietal regions, are important mechanisms of neural control in human standing. Previous research has shown that cortical activity and corticospinal excitability vary flexibly in response to postural demand. However, it is unclear how corticocortical and corticomuscular connectivity is dynamically modulated during standing balance and over time. This study investigated the dynamics of this connectivity using electroencephalography (EEG) and electromyography (EMG). The EEG and EMG were measured in different 4 positions: sitting (ST), normal quiet standing (QS), one-leg standing (ON), and standing on a piece of wood (WD). For corticomuscular connectivity, we concentrated on sway-varying connectivity in the timing of peak velocity of postural sway in the anteroposterior direction. For the corticocortical connectivity, the time-varying connectivity was quantified, particularly in the θ-band connectivity which is linked to error identification, using a sliding-window approach. The study found that corticomuscular connectivity from the brain to the lower-limb muscle was strengthened during the sway peak in the γ- and β-frequency bands, while the connectivity strength from the muscle to the brain was decreased in the θ- and α-band. For the timevarying connectivity, the θ-connectivity in all time-epoch was divided into 7 states including both posture-relevant and -irrelevant clusters. In one of the 7 states, the strong connectivity pairs were concentrated in the mid-central region and the proportion of epochs from the ON and WD conditions was significantly higher, indicating a functional role for posture balance. These findings shed light on electrodynamic connectivity which varies in response to postural demand. Those dynamics, particularly in the θ-band connectivity, can be used for ongoing monitoring and/or intervention for postural disability.

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“…As occurs in healthy young adults 63 , short-term training with visual EA has the potential to leverage the principle of neuroplasticity to expedite the achievement of postural training goals for healthy older adults. In practice, visual EA can be easily delivered via virtual reality (VR) technology, which can provide flexible manipulation of the postural error size within an immersive gaming environment.…”

Section: Discussionmentioning

confidence: 99%

Quick balance skill improvement after short-term training with error amplification feedback for older adults

et al. 2023

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This study investigated behavioral and cortical mechanisms for short-term postural training with error amplification (EA) feedback in the elderly. Thirty-six elderly subjects (65.7 ± 2.2 years) were grouped (control and EA, n = 18) for training in stabilometer balance under visual guidance. During the training session (8 training rounds of 60 s in Day 2), the EA group received visual feedback that magnified errors to twice the real size, whereas the control group received visual feedback that displayed real errors. Scalp EEG and kinematic data of the stabilometer plate and ankle joint were recorded in the pre-test (Day 1) and post-test (Day 3). The EA group (−46.5 ± 4.7%) exhibited greater post-training error reduction than that of the control group (−27.1 ± 4.0%)(p = 0.020), together with a greater decline in kinematic coupling between the stabilometer plate and ankle joint (EA: −26.6 ± 4.8%, control: 2.3 ± 8.6%, p = 0.023). In contrast to the control group, the EA group manifested greater reductions in mean phase-lag index (PLI) connectivity in the theta (4–7 Hz)(p = 0.011) and alpha (8–12 Hz) (p = 0.027) bands. Only the EA group showed post-training declines in the mean PLI in the theta and alpha bands. Minimal spanning tree analysis revealed that EA-based training led to increases in the diameter (p = 0.002) and average eccentricity (p = 0.004) of the theta band for enhanced performance monitoring and reduction in the leaf fraction (p = 0.030) of the alpha band for postural response with enhanced automaticity. In conclusion, short-term EA training optimizes balance skill, favoring multi-segment coordination for the elderly, which is linked to more sophisticated error monitoring with less attentive control over the stabilometer stance.

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Cortical reorganization to improve dynamic balance control with error amplification feedback

Cited by 8 publications

References 66 publications

Adaptations of postural sway dynamics and cortical response to unstable stance with stroboscopic vision in older adults

Adaptations of postural sway dynamics and cortical response to unstable stance with stroboscopic vision in older adults

Corticocortical and Corticomuscular Connectivity Dynamics in Standing Posture: Electroencephalography Study

Quick balance skill improvement after short-term training with error amplification feedback for older adults

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