EEG correlates of postural audio-biofeedback

Pirini, Marco; Mancini, Martina; Farella, Elisabetta; Chiari, Lorenzo

doi:10.1016/j.humov.2010.05.016

Cited by 18 publications

(12 citation statements)

References 39 publications

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“…Alternatively, this measure may reflect sensory processing prior to the perturbation. The alpha ERD was most evident over central-parietal regions of sensory processing, and previous literature identified event-related spectral changes in alpha activity at central-parietal regions during stance between different sensory conditions (Del Percio et al 2007; Pirini et al 2011). These results thus suggest the alpha ERD may reflect processes of sensory integration or reweighting for maintaining standing balance.…”

Section: Discussionmentioning

confidence: 62%

“…Evidence of CNV prior to postural perturbations has only recently been described for young, healthy adults (Jacobs et al 2008). Although alpha ERD was evident at right-hemisphere central-parietal electrodes when comparing eyes-open to eyes-closed conditions of standing sway (Del Percio et al 2007) as well as when maintaining standing balance amidst audio biofeedback versus sham feedback (Pirini et al 2011), we are unaware of any reports that evaluate ERD prior to postural perturbations. Thus, this study provides novel indices of cortical preparation prior to an anticipated, induced loss of balance in people with and without PD.…”

Section: Introductionmentioning

confidence: 99%

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Effects of magnitude and magnitude predictability of postural perturbations on preparatory cortical activity in older adults with and without Parkinson’s disease

2012

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The goal of this study was to identify whether impaired cortical preparation may relate to impaired scaling of postural responses of people with Parkinson’s disease (PD). We hypothesized that impaired scaling of postural responses in participants with PD would be associated with impaired set-dependent cortical activity in preparation for perturbations of predictable magnitudes. Participants performed postural responses to backward surface translations. We examined the effects of perturbation magnitude (predictable small vs. predictable large) and predictability of magnitude (predictable vs. unpredictable-in-magnitude) on postural responses (center-of-pressure (CoP) displacements) and on preparatory electroencephalographic (EEG) measures of contingent negative variation (CNV) and alpha and beta event-related desynchronization (ERD). Our results showed that unpredictability of perturbation magnitude, but not the magnitude of the perturbation itself, was associated with increased CNV amplitude at the CZ electrode in both groups. While control participants scaled their postural responses to the predicted magnitude of the perturbation, their condition-related changes in CoP displacements were not correlated with condition-related changes in EEG preparatory activity (CNV or ERD). In contrast, participants with PD did not scale their postural responses to the predicted magnitude of the perturbation, but they did demonstrate greater beta ERD in the condition of predictably small-magnitude perturbations and greater beta ERD than the control participants at the CZ electrode. In addition, increased beta ERD in PD was associated with decreased adaptability of postural responses, suggesting that preparatory cortical activity may have a more direct influence on postural response scaling for people with PD than for control participants.

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Section: Discussionmentioning

confidence: 62%

Section: Introductionmentioning

confidence: 99%

Effects of magnitude and magnitude predictability of postural perturbations on preparatory cortical activity in older adults with and without Parkinson’s disease

2012

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“…Del Percio et al (2007) also observed and larger amplitude of alpha band ERD in athletes in a closed-eye one and two leg balance task, compared to non-athletes. In contrast, Pirini et al (2011) observed a decrease in alpha power during eyes-open task in the right inferior parietal area, which is in line with the increased attention required to perform a balance under degraded conditions. Petrofsky and Khowailed (2014) also observed an increase in activation with increased balance challenge, finding an overall signal power increased with a decrease in the amount of qality of sensory feedback.…”

Section: Resultsmentioning

confidence: 86%

Neuroimaging of Human Balance Control: A Systematic Review

Wittenberg

Thompson

Nam

et al. 2017

Front. Hum. Neurosci.

129

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This review examined 83 articles using neuroimaging modalities to investigate the neural correlates underlying static and dynamic human balance control, with aims to support future mobile neuroimaging research in the balance control domain. Furthermore, this review analyzed the mobility of the neuroimaging hardware and research paradigms as well as the analytical methodology to identify and remove movement artifact in the acquired brain signal. We found that the majority of static balance control tasks utilized mechanical perturbations to invoke feet-in-place responses (27 out of 38 studies), while cognitive dual-task conditions were commonly used to challenge balance in dynamic balance control tasks (20 out of 32 studies). While frequency analysis and event related potential characteristics supported enhanced brain activation during static balance control, that in dynamic balance control studies was supported by spatial and frequency analysis. Twenty-three of the 50 studies utilizing EEG utilized independent component analysis to remove movement artifacts from the acquired brain signals. Lastly, only eight studies used truly mobile neuroimaging hardware systems. This review provides evidence to support an increase in brain activation in balance control tasks, regardless of mechanical, cognitive, or sensory challenges. Furthermore, the current body of literature demonstrates the use of advanced signal processing methodologies to analyze brain activity during movement. However, the static nature of neuroimaging hardware and conventional balance control paradigms prevent full mobility and limit our knowledge of neural mechanisms underlying balance control.

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“…In addition to physical manipulations such as pushing the subject or suddenly translating the support surface ( Duckrow et al, 1999 ; Adkin et al, 2008 ), manipulated sensory information can provide insight into cortical sensory integration during balance control. In contrast to physical perturbations, sensory manipulations such as restricted vision, altered surface firmness, and auditory feedback target specific sensory input ( Pirini et al, 2011 ; Tse et al, 2013 ). Sensory perturbations are advantageous for EEG experiments because they do not directly move the subject in a consistent manner, unlike physical perturbations, reducing the effects of motion artifact ( Kline et al, 2015 ).…”

Section: Introductionmentioning

confidence: 99%