Do equilibrium constraints modulate postural reaction when viewing imbalance?

Tia, Banty; Païzis, Christos; Mourey, France; Pozzo, Thierry

doi:10.1016/j.bandc.2012.02.008

Cited by 12 publications

(11 citation statements)

References 40 publications

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“…Our findings are consistent with the idea that equilibrium in unstable surfaces is modulated by ecological strategies along the anteroposterior axis and by biomechanics and stabilisation strategies. In the literature, it is well established [33] that standing postural control in humans is direction-dependent, and that goal oriented actions (for instance, reaching or locomotion) are mainly along the anteroposterior axis, and primarily involves muscles from the anteroposterior plane [30,31]. This direction dependence results from several biomechanical factors that characterise human posture [30].…”

Section: Discussionmentioning

confidence: 99%

Effects of different unstable supports on EMG activity and balance

Cimadoro¹,

Païzis²,

Alberti³

et al. 2013

Neuroscience Letters

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This study analysed the equilibrium strategies and EMG activity during postural equilibrium in four different unstable surfaces. Thirteen team sport males were tested on a FLAT surface and on three different wobble boards (JAKOBS(®) with easy multidirectional displacements, FREEMAN with strong multidirectional displacements and LATERAL with unidirectional lateral displacements). They had to maintain single-limb stance during 5s for each condition. The right foot centre of pressure (COP) position and its variability with concomitant EMG activity of soleus (SOL), tibialis anterior (TA), peroneus longus (PL) and extensor digitorum longus (EXD) muscles were recorded. Subjects maintained balance by making seesaw rotations. LATERAL and FREEMAN boards demonstrated significantly greater COP variability than JAKOBS(®) and FLAT in both anteroposterior and mediolateral directions. Similarly, PL, EXD, and TA muscles EMG activity were significantly greater using the LATERAL board, and in some cases using FREEMAN as compared with JAKOBS(®) and FLAT. These results highlighted new knowledge about central nervous system organisation while keeping equilibrium with a predominant anteroposterior control.

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Section: Discussionmentioning

confidence: 99%

Effects of different unstable supports on EMG activity and balance

Cimadoro¹,

Païzis²,

Alberti³

et al. 2013

Neuroscience Letters

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“…A possible explanation relates to the biomechanical constraints induced by the position of the body and feet. Anterior muscles like the tibialis anterior and posterior muscles like the soleus are very effective at stabilizing posture by maintaining the center of gravity within the base of support (Winter et al 1998, 2001; Tia et al 2012). By comparison, the lateral muscles are weaker but benefit from a larger base of support.…”

Section: Discussionmentioning

confidence: 99%

Visually induced postural reactivity is velocity-dependent at low temporal frequencies and frequency-dependent at high temporal frequencies

et al. 2013

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Visual stimulation alone is sufficient to produce visually induced postural reactivity (VIPR). While some studies have shown that VIPR increases with the velocity of a moving visual stimulus, others have shown that it decreases with the temporal frequency of an oscillating visual stimulus. These results seem contradictory given that these two variables co-vary in the same direction. The purpose of this study is to determine whether the VIPR can be different depending on the frequency range being considered. Twelve subjects were placed standing up in a virtual reality environment that simulated a black and white checkerboard at floor level. This checkerboard oscillated at seven frequencies (0.03–2.0 Hz) and three amplitudes (2, 4, and 8°), corresponding to nine velocities (0.125–32°/s). The virtual floor oscillated from left to right (mediolateral) or from front to back (anteroposterior). We calculated the subjects’ mean velocity (Ω) based on data from electromagnetic sensors positioned on the head and lower back. Our experiment shows that for temporal frequencies below 0.12 Hz, VIPR is visually dependent and increases with stimulus velocity. When stimulus velocity becomes too high, the body becomes incapable of following, and the VIPR saturates between 0.12 and 0.25 Hz. In this frequency range, maximal postural oscillation seems to depend on biomechanical constraints imposed by the positioning of the feet. For frequencies above 0.5 Hz, the body can no longer maintain the same oscillation state. This saturation may be linked to proprioceptive feedback mechanisms in the postural system.

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“…Within this framework, it is proposed that neural networks are similarly engaged both during action execution and action observation (Prinz, 1997; Hommel et al, 2001). In this vein, there is evidence of changes in postural control when subjects either observe a human avatar (Slobounov et al, 2000, 2006; Tia et al, 2011, 2012) or during motor imagery of postural-related movements (Rodrigues et al, 2010; Lemos et al, 2014). Our main results were that observing a person sustaining a quiet stance posture, as compared with its scrambled counterpart, leads primarily to the recruitment of the temporal and parietal regions of the right hemisphere.…”

Section: Discussionmentioning

confidence: 99%

“…In this vein, Thirioux et al (2009) provided evidence that the observation of a human avatar produces an imitation response in which postural adjustments are made in response to a context of postural instability. This phenomenon was further explored through the use of posturographic measurements (Tia et al, 2011, 2012). Increases in postural sway (mainly in the forward-backward direction) were observed during the presentation of either video sequences of an actress balancing on a gymnastic beam (Tia et al, 2012) or by presenting a PLD obtained from the recordings of a gymnast in a postural instability context (Tia et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…This phenomenon was further explored through the use of posturographic measurements (Tia et al, 2011, 2012). Increases in postural sway (mainly in the forward-backward direction) were observed during the presentation of either video sequences of an actress balancing on a gymnastic beam (Tia et al, 2012) or by presenting a PLD obtained from the recordings of a gymnast in a postural instability context (Tia et al, 2011). The concept of postural contagion (i.e., changes in action execution promoted by action observation) was proposed based on these results.…”

Section: Introductionmentioning

confidence: 99%

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Cerebral Dynamics during the Observation of Point-Light Displays Depicting Postural Adjustments

Martins

Lemos

Saunier

et al. 2017

Front. Hum. Neurosci.

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Objective: As highly social creatures, human beings rely part of their skills of identifying, interpreting, and predicting the actions of others on the ability of perceiving biological motion. In the present study, we aim to investigate the electroencephalographic (EEG) cerebral dynamics involved in the coding of postural control and examine whether upright stance would be codified through the activation of the temporal-parietal cortical network classically enrolled in the coding of biological motion.Design: We registered the EEG activity of 12 volunteers while they passively watched point light displays (PLD) depicting quiet stable (QB) and an unstable (UB) postural situations and their respective scrambled controls (QS and US). In a pretest, 13 volunteers evaluated the level of stability of our two biological stimuli through a stability scale.Results: Contrasting QB vs. QS revealed a typical ERP difference in the right temporal-parietal region at an early 200–300 ms time window. Furthermore, when contrasting the two biological postural conditions, UB vs. QB, we found a higher positivity in the 400–600 ms time window for the UB condition in central-parietal electrodes, lateralized to the right hemisphere.Conclusions: These results suggest that PLDs depicting postural adjustments are coded in the brain as biological motion, and that their viewing recruit similar networks with those engaged in postural stability control. Additionally, higher order cognitive processes appear to be engaged in the identification of the postural instability level. Disentangling the EEG dynamics during the observation of postural adjustments could be very useful for further understanding the neural mechanisms underlying postural control.

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Do equilibrium constraints modulate postural reaction when viewing imbalance?

Cited by 12 publications

References 40 publications

Effects of different unstable supports on EMG activity and balance

Effects of different unstable supports on EMG activity and balance

Visually induced postural reactivity is velocity-dependent at low temporal frequencies and frequency-dependent at high temporal frequencies

Cerebral Dynamics during the Observation of Point-Light Displays Depicting Postural Adjustments

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