Emotional states influence forward gait during music listening based on familiarity with music selections

Park, Kyoung Shin; Hass, Chris J.; Fawver, Bradley; Lee, Hyokeun; Janelle, Christopher M.

doi:10.1016/j.humov.2019.03.004

Cited by 36 publications

(28 citation statements)

References 51 publications

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“…Finally, our results on the questionnaires assessing emotional changes and body feelings might be biased due to a reduced understanding of the statements presented, maybe due to the level of complexity of the employed vocabulary. Further studies examining this relationship might reinforce previous findings linking changes in body perception, emotion, and gait . Future studies could be performed addressing these issues by performing multicenter collaborations and randomized controlled trials for testing the feasibility of this new technology.…”

Section: Limitationssupporting

confidence: 57%

“…Further studies examining this relationship might reinforce previous findings linking changes in body perception, emotion, and gait. 24,36,37,60,61 Future studies could be performed addressing these issues by performing multicenter collaborations and randomized controlled trials for testing the feasibility of this new technology. like to thank our patients for their help, support, and willingness to collaborate in all cases during this project.…”

Section: Limitationsmentioning

confidence: 99%

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Enriching footsteps sounds in gait rehabilitation in chronic stroke patients: a pilot study

Gómez-Andrés

Grau-Sánchez

Duarte

et al. 2019

Annals of the New York Academy of Sciences

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In the context of neurorehabilitation, sound is being increasingly applied for facilitating sensorimotor learning. In this study, we aimed to test the potential value of auditory stimulation for improving gait in chronic stroke patients by inducing alterations of the frequency spectra of walking sounds via a sound system that selectively amplifies and equalizes the signal in order to produce distorted auditory feedback. Twenty-two patients with lower extremity paresis were exposed to real-time alterations of their footstep sounds while walking. Changes in body perception, emotion, and gait were quantified. Our results suggest that by altering footsteps sounds, several gait parameters can be modified in terms of left-right foot asymmetry. We observed that augmenting low-frequency bands or amplifying the natural walking sounds led to a reduction in the asymmetry index of stance and stride times, whereas it inverted the asymmetry pattern in heel-ground exerted force. By contrast, augmenting high-frequency bands led to opposite results. These gait changes might be related to updating of internal forward models, signaling the need for adjustment of the motor system to reduce the perceived discrepancies between predicted-actual sensory feedbacks. Our findings may have the potential to enhance gait awareness in stroke patients and other clinical conditions, supporting gait rehabilitation.

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Section: Limitationssupporting

confidence: 57%

Section: Limitationsmentioning

confidence: 99%

Enriching footsteps sounds in gait rehabilitation in chronic stroke patients: a pilot study

Gómez-Andrés

Grau-Sánchez

Duarte

et al. 2019

Annals of the New York Academy of Sciences

View full text Add to dashboard Cite

show abstract

“…Only a few studies asked participants to report discreet emotions, and these emotions varied across studies (e.g., Bannister, 2020;Egermann, 2011;Sumpf, 2015). Further, there are other studies in which self-reported emotions were collected (e.g., Park et al, 2019;Rickard, 2004;Salimpoor et al, 2009) but correlations with the chills were not reported because the study focused on other aspects. As a result, it's impossible to determine any consistent correlations between subjective emotions, piloerection, and ANS activation.…”

Section: Indicators Of Sns Versus Pns Activationmentioning

confidence: 99%

The physiological study of emotional piloerection: A literature review and guide for future research

McPhetres¹

2021

Preprint

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This paper provides an accessible review of the biological and psychological evidence to guide new and experienced researchers in the study of emotional piloerection in humans. I first discuss the mechanisms and function of non-emotional and emotional piloerection. A systematic review (N = 27) reveals that indices of sympathetic activation are abundant, suggesting emotional piloerection occurs with increased skin conductivity and heart rate. Measures of emotions and parasympathetic activation are lacking and no clear conclusions can be drawn. Finally, I provide an overview of the methodological possibilities and I highlight some pressing questions researchers may wish to answer in future studies.

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“…Because EOG signals have high amplitude and the frequency range overlaps with EEG signals, it's the main physiological signal which interface the acquisition of EEG signals. Independent Component Analysis (ICA) [15] can effectively remove eye movement artifacts. ICA assume different physical process will produce statistically independent signals, via the higher order statistical characteristic of signals to analysis non-gaussian structure of the data , to search a linear transformation to implement observe data's decomposition, and the ingredients broke down has the largest independence statistically, making it better and more effective than the classical factor analysis and principal component analysis [15], not only can eliminate the redundant component of mixed signal and has a strong resilience for source signal in mixed signal.…”

Section: A Preprocessing Of Eegmentioning

confidence: 99%

Research on EEG Features in Different Emotional States

Wang

Zuo

Guo

et al. 2021

Preprint

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In order to improve the detection and treatment of neurological diseases effectively, it is a significant means to analysis EEG features. In this study, extrovert and stable persons were selected as the subjects according to the Eysenck Personality Questionnaire. Then set the subjects’ EEG signals in a quiet state with eyes closed as a reference group. Four types of pure music were selected as stimulus materials to induce four different kinds of emotions: pleasure, sadness, irritability, and fear. During the period, evoked EEG signals was acquired. Then, some signal processing methods were used to de-noise for EEG and separate EOG artifacts from EEG signals. Finally, EEG signals’ features in time domain, frequency domain and time-frequency domain were extracted, especially the method which combined Hilbert transform based on EMD with information entropy to calculate EEG signals’ Hilbert spectrum entropy for four emotional states. The results showed that EEG signals’ features in different emotional states changed with gender, brain and mood objectively, all differences mainly reflected in time domain features, frequency domain features and time-frequency domain features. All the results reveal that EEG signals’ variation characteristics in the process of auditory stimulation, and can be an adjustment basis for detection and treatment of neurological diseases.

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Emotional states influence forward gait during music listening based on familiarity with music selections

Cited by 36 publications

References 51 publications

Enriching footsteps sounds in gait rehabilitation in chronic stroke patients: a pilot study

Enriching footsteps sounds in gait rehabilitation in chronic stroke patients: a pilot study

The physiological study of emotional piloerection: A literature review and guide for future research

Research on EEG Features in Different Emotional States

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