Dynamical patterns of human postural responses to emotional stimuli

Perakakis, Pandelis; Idrissi, Sofia; Vila, Jaime; Ivanov, Plamen Ch.

doi:10.1111/j.1469-8986.2012.01392.x

Cited by 14 publications

(9 citation statements)

References 21 publications

(15 reference statements)

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“…This study has been performed in the frame of the PSYCHE project, where a multidisciplinary and multiparametric analysis of bipolar disorder through the processing of several behavioral, biochemical, and electrophysiological variables has been carried out. Other key variables such as the postural sway can also be taken into account as suggested in [56]. Patient monitoring includes constant feedback which interests the physician and which supports the patient.…”

Section: Mse-methods Imentioning

confidence: 99%

Mood states modulate complexity in heartbeat dynamics: A multiscale entropy analysis

Valenza¹,

Nardelli²,

Bertschy³

et al. 2014

EPL

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This paper demonstrates that heartbeat complex dynamics is modulated by different pathological mental states. Multiscale entropy analysis was performed on R-R interval series gathered from the electrocardiogram of eight bipolar patients who exhibited mood states among depression, hypomania, and euthymia, i.e., good affective balance. Three different methodologies for the choice of the sample entropy radius value were also compared. We show that the complexity level can be used as a marker of mental states being able to discriminate among the three pathological mood states, suggesting to use heartbeat complexity as a more objective clinical biomarker for mental disorders.

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Section: Mse-methods Imentioning

confidence: 99%

Mood states modulate complexity in heartbeat dynamics: A multiscale entropy analysis

Valenza¹,

Nardelli²,

Bertschy³

et al. 2014

EPL

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show abstract

“…Moreover, the analyses of heart rate focused on the angry and happy blocks alone and excluded the neutral block. Establishing the robustness of the heart rate effect is especially important as changes in body sway alone, without heart rate reduction, can also be explained by attention processes, rather than by freezing (Hagenaars et al, 2014a , b , see also Bradley, 2009 ; Perakakis et al, 2012 ).…”

Section: Introductionmentioning

confidence: 99%

Freezing in response to social threat: a replication

Noordewier

Scheepers

Hilbert

2019

Psychological Research

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Freezing is an adaptive defensive response to a stressful event. Recent research suggests that freezing not only occurs in response to physical threats but also in response to social threats (e.g., angry faces; Roelofs et al. in Psychol Sci 21:1575-1581, 2010). Given the practical and theoretical importance of this finding, the current study aimed to replicate and extend it. Following the original study, we measured heart rate while participants viewed emotional faces (angry, happy, neutral). Extending the original study, we included a baseline measure and performed additional, more fine-grained analyses. Our results support the hypothesis that participants show physiological signs of freezing when looking at angry faces. Importantly, we also find this effect when comparing heart rate in the angry block to baseline levels. Interestingly, the heart rate effects are explained by deceleration in the first 30 s of the 1-min angry block, but not in the second 30 s. Like Roelofs et al., we find evidence that the effects are modulated by state anxiety, but our effects are only marginal and we do not replicate the negative correlation between heart rate and state anxiety in the angry block. In general, we thus find evidence for physiological signs of freezing in response to social threat. We discuss implications and venues for future research.

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“…Within the scope of movement variability, Perakakis et al have pointed out that the emotional milieu may play a crucial role in approach and avoidance behavior. These authors measured postural sway while subjects stood on a force platform viewing pictures from three affective categories: pleasant, unpleasant, and neutral (Perakakis et al, 2012). Our study was unlikely to be influenced by emotional factors as it was located in the movement laboratory and participants were familiar with the space and the principle investigators.…”

Section: Discussionmentioning

confidence: 99%

The Effect of Ankle Support on Lower Limb Kinematics During the Y-Balance Test Using Non-linear Dynamic Measures

et al. 2019

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Background: According to dynamical systems theory, an increase in movement variability leads to greater adaptability, which may be related to the number of feedforward and feedback mechanisms associated with movement and postural control. Using Higuchi dimension (HDf) to measure complexity of the signal and Singular Value Decomposition Entropy (SvdEn) to measure the number of attributes required to describe the biosignal, the purpose of this study was to determine the effect of kinesiology and strapping tape on center of pressure dynamics, myoelectric muscle activity, and joint angle during the Y balance test. Method: Forty-one participants between 18 and 34 years of age completed five trials of the Y balance test without tape, with strapping tape (ST), and with kinesiology tape (KT) in a cross-sectional study. The mean and standard errors were calculated for the center of pressure, joint angles, and muscle activities with no tape, ST, and KT. The results were analyzed with a repeated measures ANOVA model ( P A < 0.05) fit and followed by Tukey post hoc analysis from the R package with probability set at P < 0.05. Results: SvdEn indicated significantly decreased complexity in the anterior-posterior ( p < 0.05) and internal-external rotation ( p < 0.001) direction of the ankle, whilst HDf for both ST and KT identified a significant increase in ankle dynamics when compared to no tape ( p < 0.0001) in the mediolateral direction. Taping also resulted in a significant difference in gastrocnemius muscle myoelectric muscle activity between ST and KT ( p = 0.047). Conclusion: Complexity of ankle joint dynamics increased in the sagittal plane of movement with no significant changes in the possible number of physiological attributes. In contrast, the number of possible physiological attributes contributing to ankle movement was significantly lower in the frontal and transverse planes. Simply adhering tape to the skin is sufficient to influence neurological control and adaptability of movement. In addition, adaptation of ankle joint dynamics to retain postural stability during a Y Balance test is achieved differently depending on the direction of movement.

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Dynamical patterns of human postural responses to emotional stimuli

Cited by 14 publications

References 21 publications

Mood states modulate complexity in heartbeat dynamics: A multiscale entropy analysis

Mood states modulate complexity in heartbeat dynamics: A multiscale entropy analysis

Freezing in response to social threat: a replication

The Effect of Ankle Support on Lower Limb Kinematics During the Y-Balance Test Using Non-linear Dynamic Measures

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