Electroencephalographic Correlates of Continuous Postural Tasks of Increasing Difficulty

Edwards, Amy; Güven, Onur; Furman, Michael D.; Arshad, Qadeer; Bronstein, Adolfo M.

doi:10.1016/j.neuroscience.2018.10.040

Cited by 52 publications

(82 citation statements)

References 82 publications

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“…In this context, Sipp et al (2013) hypothesized that theta frequency band activity could be involved in the transfer of sensory information during the performance of postural demanding tasks. In support of this argument, studies that examined cortical activity during beam walking (Sipp et al 2013) or the performance of different balance tasks with increasing difficulty level (Del Percio et al 2009;Edwards et al 2018;Hülsdünker et al 2015b) reported a strong reactivity of the alpha frequency band in terms of decreases in power, particularly in parietal areas. While widespread fluctuations in the alpha-1 frequency band (8-10 Hz) are supposed to reflect global processes of attention and alertness (i.e., power decrease), as well as idling (i.e., power increase) (Smith et al 1999), activity within the alpha-2 frequency band (10-12 Hz) appear to be associated with sensory and movement-related information processing (Leocani et al 1997;Pfurtscheller et al 1996).…”

Section: Introductionmentioning

confidence: 91%

“…There is evidence that changes in the EEG power spectrum due to postural instability occur predominantly in the theta and alpha frequency bands. While previous studies established connections between theta frequency dynamics in fronto-central areas and attentional (Klimesch 1999;Sauseng et al 2010) as well as cognitive control processes (Anders et al 2018;Cavanagh and Frank 2014), progression in task-difficulty and postural stability/instability have also been associated with increased theta frequency band power in frontal and parietal cortical areas (Edwards et al 2018;Hülsdünker et al 2015a, b;Sipp et al 2013;Varghese et al 2014). In fact, Sipp et al (2013) and Hülsdünker et al (2015a) proposed that an increased fronto-central theta band power might be indicative of a postural error detection system that monitors postural stability/instability and initiates adaptive postural responses in situations of high postural instability to maintain or regain balance.…”

Section: Introductionmentioning

confidence: 97%

“…Postural control requires the complex interaction of different structures within the somatosensory system to maintain and recover balance during the performance of sport and everyday activities (Shumway-Cook and Woollacott 2012). Several electroencephalographic (EEG) studies provide evidence that postural control involves the activity of cortical structures under static (e.g., unperturbed/perturbed upright stance) (Edwards et al 2018;Hülsdünker et al 2015a, b;Peterson and Ferris 2018;Slobounov et al 2009;Solis-Escalante et al 2019;Varghese et al 2014) and dynamic conditions (e.g., unperturbed/perturbed walking) (Peterson and Ferris 2018;Sipp et al 2013;Wagner et al 2016, for a review see Wittenberg et al 2017). Most of these studies observed altered activation that contributed to postural control across different cortical areas located near anterior cingulate, dorsolateral prefrontal cortex, supplementary motor areas, parietal, and temporal cortices on either the channel (Edwards et al 2018;Hülsdünker et al 2015a, b) or the source level (Peterson and Ferris 2018; Communicated by Francesco Lacquaniti.…”

Section: Introductionmentioning

confidence: 99%

“…Previous research (Edwards et al 2018;Del Percio et al 2009;Hülsdünker et al 2015a, b;Tse et al 2013;Varghese et al 2014) examined the effects of performing continuous balance tasks of varying difficulty levels on cortical activity. However, these studies either modified sensory input, base-of-support, and surface characteristics (Edwards et al 2018;Hülsdünker et al 2015a, b;Tse et al 2013) or they reduced the base-of-support by changing the stance position (Del Percio et al 2009;Varghese et al 2014). In other studies (Dohm-Acker et al 2008;Cimadoro et al 2013) that changed the base-of-support only, this was done using different balance exercise tools (e.g., sissles, balance pads etc.…”

Section: Introductionmentioning

confidence: 99%

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Balance task difficulty affects postural sway and cortical activity in healthy adolescents

2020

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Electroencephalographic (EEG) research indicates changes in adults' low frequency bands of frontoparietal brain areas executing different balance tasks with increasing postural demands. However, this issue is unsolved for adolescents when performing the same balance task with increasing difficulty. Therefore, we examined the effects of a progressively increasing balance task difficulty on balance performance and brain activity in adolescents. Thirteen healthy adolescents aged 16-17 year performed tests in bipedal upright stance on a balance board with six progressively increasing levels of task difficulty. Postural sway and cortical activity were recorded simultaneously using a pressure sensitive measuring system and EEG. The power spectrum was analyzed for theta (4-7 Hz) and alpha-2 (10-12 Hz) frequency bands in pre-defined frontal, central, and parietal clusters of electrocortical sources. Repeated measures analysis of variance (rmANOVA) showed a significant main effect of task difficulty for postural sway (p < 0.001; d = 6.36). Concomitantly, the power spectrum changed in frontal, bilateral central, and bilateral parietal clusters. RmANOVAs revealed significant main effects of task difficulty for theta band power in the frontal (p < 0.001, d = 1.80) and both central clusters (left: p < 0.001, d = 1.49; right: p < 0.001, d = 1.42) as well as for alpha-2 band power in both parietal clusters (left: p < 0.001, d = 1.39; right: p < 0.001, d = 1.05) and in the central right cluster (p = 0.005, d = 0.92). Increases in theta band power (frontal, central) and decreases in alpha-2 power (central, parietal) with increasing balance task difficulty may reflect increased attentional processes and/or error monitoring as well as increased sensory information processing due to increasing postural demands. In general, our findings are mostly in agreement with studies conducted in adults. Similar to adult studies, our data with adolescents indicated the involvement of frontoparietal brain areas in the regulation of postural control. In addition, we detected that activity of selected brain areas (e.g., bilateral central) changed with increasing postural demands.

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Section: Introductionmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Balance task difficulty affects postural sway and cortical activity in healthy adolescents

2020

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“…Although alpha lateralization during vection may not have been explicitly tested for in the past, lateralization of alpha (and other frequency bands) is apparent in human intracranial recordings during virtual reality navigation (Jacobs et al., ). Some of the components derived from event‐related spectral perturbation analysis during vection show lateralization (Palmisano et al., ), and it has been suggested that lateralization in the alpha band may be important during postural control (Edwards, Guven, Furman, Arshad, & Bronstein, ).…”

Section: Introductionmentioning

confidence: 99%

Shift in lateralization during illusory self‐motion: EEG responses to visual flicker at 10 Hz and frequency‐specific modulation by tACS

Dowsett

Herrmann

Dieterich

et al. 2019

Eur J of Neuroscience

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Self-motion perception is a key aspect of higher vestibular processing, suggested to rely upon hemispheric lateralization and alpha-band oscillations. The first aim of this study was to test for any lateralization in the EEG alpha band during the illusory sense of self-movement (vection) induced by large optic flow stimuli. Visual stimuli flickered at alpha frequency (approx. 10 Hz) in order to produce steady state visually evoked potentials (SSVEPs), a robust EEG measure which allows probing the frequency-specific response of the cortex. The first main result was that differential lateralization of the alpha SSVEP response was found during vection compared with a matched random motion control condition, supporting the idea of lateralization of visual-vestibular function. Additionally, this effect was frequency-specific, not evident with lower frequency SSVEPs. The second aim of this study was to test for a causal role of the right hemisphere in producing this lateralization effect and to explore the possibility of selectively modulating the SSVEP response. Transcranial alternating current stimulation (tACS) was applied over the right hemisphere simultaneously with SSVEP recording, using a novel artefact removal strategy for combined tACS-EEG. The second main result was that tACS enhanced SSVEP amplitudes, and the effect of tACS was not confined to the right hemisphere. Subsequent control

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Graph‐theoretical analysis of EEG functional connectivity during balance perturbation in traumatic brain injury: A pilot study

Handiru

Alivar

Hoxha

et al. 2021

Human Brain Mapping

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Traumatic brain injury (TBI) often results in balance impairment, increasing the risk of falls, and the chances of further injuries. However, the underlying neural mechanisms of postural control after TBI are not well understood. To this end, we conducted a pilot study to explore the neural mechanisms of unpredictable balance perturbations in 17 chronic TBI participants and 15 matched healthy controls (HC) using the EEG, MRI, and diffusion tensor imaging (DTI) data. As quantitative measures of the functional integration and segregation of the brain networks during the postural task, we computed the global graph‐theoretic network measures (global efficiency and modularity) of brain functional connectivity derived from source‐space EEG in different frequency bands. We observed that the TBI group showed a lower balance performance as measured by the center of pressure displacement during the task, and the Berg Balance Scale (BBS). They also showed reduced brain activation and connectivity during the balance task. Furthermore, the decrease in brain network segregation in alpha‐band from baseline to task was smaller in TBI than HC. The DTI findings revealed widespread structural damage. In terms of the neural correlates, we observed a distinct role played by different frequency bands: theta‐band modularity during the task was negatively correlated with the BBS in the TBI group; lower beta‐band network connectivity was associated with the reduction in white matter structural integrity. Our future studies will focus on how postural training will modulate the functional brain networks in TBI.

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Electroencephalographic Correlates of Continuous Postural Tasks of Increasing Difficulty

Cited by 52 publications

References 82 publications

Balance task difficulty affects postural sway and cortical activity in healthy adolescents

Balance task difficulty affects postural sway and cortical activity in healthy adolescents

Shift in lateralization during illusory self‐motion: EEG responses to visual flicker at 10 Hz and frequency‐specific modulation by tACS

Graph‐theoretical analysis of EEG functional connectivity during balance perturbation in traumatic brain injury: A pilot study

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