Neural basis of postural focus effect on concurrent postural and motor tasks: Phase-locked electroencephalogram responses

Huang, Chien-Chang; Zhao, Chen; Hwang, Ing Shiou

doi:10.1016/j.bbr.2014.07.054

Cited by 21 publications

(26 citation statements)

References 79 publications

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“…The negative potential occurring around 100 ms following an event, such as mechanical perturbations, is termed the N100 potential. The N100 response over the fronto-central area has been observed in a wide range of balance tasks, and N100 amplitude increases in challenging balance control tasks, including unpredictable or surprise perturbations, and in balance challenges with low sensory inputs (Adkin et al, 2006, 2008; Mochizuki et al, 2008; Huang et al, 2014; Varghese et al, 2014, 2015). However, Mochizuki et al (2009a) observed no difference in N100 latency and amplitude in sitting and standing instability conditions, suggesting that there may be more general processes that underlie stability, regardless of sensory, motor, or postural aspects of response.…”

Section: Resultsmentioning

confidence: 99%

“…Similarly, Huang et al (2014) provided subjects with visual feedback to facilitate maintaining balance on a tilt platform, resulting in decreased N100 amplitude over the motor cortex and sensorimotor areas. These studies found a decrease in N100 in the dual-task conditions, indicating their efficacy to split attentional resources between balance and cognitive tasks.…”

Section: Resultsmentioning

confidence: 99%

“…Gwin et al (2011) used a similar approach but excluded components if the current dipole model to scalp accounted for less than 80% of the scalp variance - criteria used by six other studies (Sipp et al, 2013; Kline et al, 2014; Lau et al, 2014; Bradford et al, 2015; Bulea et al, 2015; Snyder et al, 2015). Lastly, 6 studies used PCA to identify and remove movement artifact (Bulea et al, 2014, 2015; Huang et al, 2014; Marlin et al, 2014; Luu et al, 2016; Nathan and Contreras-Vidal, 2016). …”

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Neuroimaging of Human Balance Control: A Systematic Review

Wittenberg

Thompson

Nam

et al. 2017

Front. Hum. Neurosci.

122

106

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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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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Neuroimaging of Human Balance Control: A Systematic Review

Wittenberg

Thompson

Nam

et al. 2017

Front. Hum. Neurosci.

122

106

View full text Add to dashboard Cite

show abstract

“…In contrast, learning by focusing on the stabilometer movement increased postural regularity with decreased postural ApEn (Figure 3). The ApEn has been used to characterize stochastic features of postural performance while standing on a force plate or on a stabilometer [24][25][26]. A more regular CoP signal or stabilometer movement is associated with increased attentional investments in postural control, reflecting less automaticity or postural control.…”

Section: An Increase In Postural Irregularity With Supraposture-firstmentioning

confidence: 99%

Enhancing Dual-task Learning through Supraposture-first Instruction in Healthy Young Adults

Yu¹,

Huang²

2015

Int J Phys Ther Rehab

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Background: Previous studies have demonstrated that the performance of a postural-suprapostural dual task can be modulated by varied attention prioritization. The purpose of this study was to compare the effects of two task-priority approaches to dual-task learning on accuracy and dynamic characteristics of postural-suprapostural performance. Methods: We concurrently conducted a force-matching precision grip task (suprapostural task) while maintaining a stabilometer stance (postural task). Twenty adults were randomly assigned to one of two learning conditions: (1) dual-task learning with prioritizing force-matching precision grip task (supraposture first, SF), or (2) dual-task learning with prioritizing stabilometer movement (posture first, PF). Force-matching error, postural error, and dynamics of force-matching peak and stabilometer movement were evaluated. Results: Dual-task learning with the SF strategy caused superior force-matching, postural accuracy, and more complex stabilometer movements than dual-task learning with the PF strategy. Conclusion: Dual-task learning with the SF strategy takes advantage of more autonomous and flexible postural responses to facilitate the suprapostural performance.

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“…With the event-related potential (ERP) of scalp electroencephalogram (EEG), Huang and Hwang (2013) reported that the amplitudes of the N1 and P2 waves in the preparation period prior to executing a secondary motor task varied with task loads of the postural and suprapostural tasks, respectively. The N1 amplitude reflected anticipatory arousal and postural response preceding the force-matching (Adkin et al, 2008; Mochizuki et al, 2008; Sibley et al, 2010; Huang et al, 2014). An increasing N1 amplitude in the sensorimotor and parietal areas implies more attentive control required for postural destabilization (Huang and Hwang, 2013; Little and Woollacott, 2015).…”

Section: Introductionmentioning

confidence: 99%

Age-Related Differences in Reorganization of Functional Connectivity for a Dual Task with Increasing Postural Destabilization

Huang

Lin

Hwang

2017

Front. Aging Neurosci.

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The aged brain may not make good use of central resources, so dual task performance may be degraded. From the brain connectome perspective, this study investigated dual task deficits of older adults that lead to task failure of a suprapostural motor task with increasing postural destabilization. Twelve younger (mean age: 25.3 years) and 12 older (mean age: 65.8 years) adults executed a designated force-matching task from a level-surface or a stabilometer board. Force-matching error, stance sway, and event-related potential (ERP) in the preparatory period were measured. The force-matching accuracy and the size of postural sway of the older adults tended to be more vulnerable to stance configuration than that of the young adults, although both groups consistently showed greater attentional investment on the postural task as sway regularity increased in the stabilometer condition. In terms of the synchronization likelihood (SL) of the ERP, both younger and older adults had net increases in the strengths of the functional connectivity in the whole brain and in the fronto-sensorimotor network in the stabilometer condition. Also, the SL in the fronto-sensorimotor network of the older adults was greater than that of the young adults for both stance conditions. However, unlike the young adults, the older adults did not exhibit concurrent deactivation of the functional connectivity of the left temporal-parietal-occipital network for postural-suprapostural task with increasing postural load. In addition, the older adults potentiated functional connectivity of the right prefrontal area to cope with concurrent force-matching with increasing postural load. In conclusion, despite a universal negative effect on brain volume conduction, our preliminary results showed that the older adults were still capable of increasing allocation of neural sources, particularly via compensatory recruitment of the right prefrontal loop, for concurrent force-matching under the challenging postural condition. Nevertheless, dual-task performance of the older adults tended to be more vulnerable to postural load than that of the younger adults, in relation to inferior neural economy or a slow adaptation process to stance destabilization for scant dissociation of control hubs in the temporal-parietal-occipital cortex.

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Neural basis of postural focus effect on concurrent postural and motor tasks: Phase-locked electroencephalogram responses

Cited by 21 publications

References 79 publications

Neuroimaging of Human Balance Control: A Systematic Review

Neuroimaging of Human Balance Control: A Systematic Review

Enhancing Dual-task Learning through Supraposture-first Instruction in Healthy Young Adults

Age-Related Differences in Reorganization of Functional Connectivity for a Dual Task with Increasing Postural Destabilization

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