Effect of different music genres on gait patterns in Parkinson’s disease

Bartolo, Daniela De; Morone, Giovanni; Giordani, Gianluca; Antonucci, Gabriella; Russo, Veronica; Fusco, Augusto; Marinozzi, Franco; Bini, Fabiano; Spitoni, Grazia Fernanda; Paolucci, Stefano; Iosa, Marco

doi:10.1007/s10072-019-04127-4

Cited by 31 publications

(54 citation statements)

References 33 publications

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“…It has motivated the scientific community in exploring the beneficial effects of musical stimuli on a variety of diseases over the past two decades (Hughes, 2001;Vinciguerra, 2017). The reported benefits of Mozart effect on neurophysiological activities include increased EEG power and coherence, increased correlations of neurophysiological activity on the left frontal and temporal areas, improved walking ability, and on neuropsychological abilities such as increased spatial-temporal reasoning after piano lessons in preschool children and improved IQ test results (Escher and Evéquoz, 1999;Hughes, 2001;Trappe and Voit, 2016;De Bartolo et al, 2020b).…”

Section: Discussionmentioning

confidence: 99%

“…Brain arousal and motivation are two fundamental aspects also in neurorehabilitation, together with active participation and treatment intensity (Paolucci et al, 2012). Based on these principles, music-therapy, for example, has been proposed in neurodegenerative diseases such as Parkinson's disease (De Bartolo et al, 2020a) or stroke (Verna et al, 2020). Furthermore, it was observed that listening to Mozart music improves the performance of subjects during the execution of a task, and it was called "Mozart effect" (Victorino et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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The Michelangelo Effect: Art Improves the Performance in a Virtual Reality Task Developed for Upper Limb Neurorehabilitation

et al. 2021

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The vision of an art masterpiece is associated with brain arousal by neural processes occurring quite spontaneously in the viewer. This aesthetic experience may even elicit a response in the motor areas of the observers. In the neurorehabilitation of patients with stroke, art observation has been used for reducing psychological disorders, and creative art therapy for enhancing physical functions and cognitive abilities. Here, we developed a virtual reality task which allows patients, by moving their hand on a virtual canvas, to have the illusion of painting some art masterpieces, such as The Creation of Adam of Michelangelo or The birth of Venus of Botticelli. Twenty healthy subjects (experiment 1) and four patients with stroke (experiment 2) performed this task and a control one in which they simply colored the virtual canvas. Results from User Satisfaction Evaluation Questionnaire and the NASA Task Load Index highlighted an appropriate level of usability. Moreover, despite the motor task was the same for art and control stimuli, the art condition was performed by healthy subjects with shorter trajectories (p = 0.001) and with a lower perception of physical demand (p = 0.049). In experiment 2, only the patients treated with artistic stimuli showed a reduction in the erroneous movements performed orthogonally to the canvas (p < 0.05). This finding reminds the so-called Mozart effect that improves the performance of subjects when they listen to classic music. Thus, we called this improvement in the performance when interacting with an artistic stimulus as Michelangelo effect.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Michelangelo Effect: Art Improves the Performance in a Virtual Reality Task Developed for Upper Limb Neurorehabilitation

et al. 2021

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“…During walking, the IMU recorded lower trunk accelerations and angular velocities (respectively, along and around the anterior–posterior, laterolateral, and craniocaudal body axis), estimating from these signals the gait temporal and angular parameters. Given the information about the path length, the IMU software also computed the walking speed and step lengths ( 18 ). The temporal variables extracted by the IMU and acquired by the ANN were as follows: the cadence of steps, the stance, the swing, the single support, and the first and second double support gait phases.…”

Section: Methodsmentioning

confidence: 99%

Artificial Neural Network Analyzing Wearable Device Gait Data for Identifying Patients With Stroke Unable to Return to Work

et al. 2021

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A potential dramatic effect of long-term disability due to stroke is the inability to return to work. An accurate prognosis and the identification of the parameters inflating the possibility of return to work after neurorehabilitation are crucial. Many factors may influence it, such as mobility and, in particular, walking ability. In this pilot study, two emerging technologies have been combined with the aim of developing a prognostic tool for identifying patients able to return to work: a wearable inertial measurement unit for gait analysis and an artificial neural network (ANN). Compared with more conventional statistics, the ANN showed a higher accuracy in identifying patients with respect to healthy subjects (90.9 vs. 75.8%) and also in identifying the subjects unable to return to work (93.9 vs. 81.8%). In this last analysis, the duration of double support phase resulted the most important input of the ANN. The potentiality of the ANN, developed also in other fields such as marketing on social networks, could allow a powerful support for clinicians that today should manage a large amount of instrumentally recorded parameters in patients with stroke.

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“…Auditory stimuli such as music or metronomes can entrain human movement, and this phenomenon can be used for neurological rehabilitation purposes. Particularly, evidence has been established that auditory stimuli can facilitate walking in persons with Parkinson’s disease (Ghai et al, 2018 ; De Bartolo et al, 2020 ), stroke (Yoo and Kim, 2016 ; Hutchinson et al, 2020 ), and multiple sclerosis (Moumdjian et al, 2019b ). Auditory stimuli convey temporal structures that serve as affordances for the motor system to interact with (Leman, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Neural Entrainment Meets Behavior: The Stability Index as a Neural Outcome Measure of Auditory-Motor Coupling

Rosso

Leman

Moumdjian

2021

Front. Hum. Neurosci.

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Understanding rhythmic behavior in the context of coupled auditory and motor systems has been of interest to neurological rehabilitation, in particular, to facilitate walking. Recent work based on behavioral measures revealed an entrainment effect of auditory rhythms on motor rhythms. In this study, we propose a method to compute the neural component of such a process from an electroencephalographic (EEG) signal. A simple auditory-motor synchronization paradigm was used, where 28 healthy participants were instructed to synchronize their finger-tapping with a metronome. The computation of the neural outcome measure was carried out in two blocks. In the first block, we used Generalized Eigendecomposition (GED) to reduce the data dimensionality to the component which maximally entrained to the metronome frequency. The scalp topography pointed at brain activity over contralateral sensorimotor regions. In the second block, we computed instantaneous frequency from the analytic signal of the extracted component. This returned a time-varying measure of frequency fluctuations, whose standard deviation provided our “stability index” as a neural outcome measure of auditory-motor coupling. Finally, the proposed neural measure was validated by conducting a correlation analysis with a set of behavioral outcomes from the synchronization task: resultant vector length, relative phase angle, mean asynchrony, and tempo matching. Significant moderate negative correlations were found with the first three measures, suggesting that the stability index provided a quantifiable neural outcome measure of entrainment, with selectivity towards phase-correction mechanisms. We address further adoption of the proposed approach, especially with populations where sensorimotor abilities are compromised by an underlying pathological condition. The impact of using stability index can potentially be used as an outcome measure to assess rehabilitation protocols, and possibly provide further insight into neuropathological models of auditory-motor coupling.

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Effect of different music genres on gait patterns in Parkinson’s disease

Cited by 31 publications

References 33 publications

The Michelangelo Effect: Art Improves the Performance in a Virtual Reality Task Developed for Upper Limb Neurorehabilitation

The Michelangelo Effect: Art Improves the Performance in a Virtual Reality Task Developed for Upper Limb Neurorehabilitation

Artificial Neural Network Analyzing Wearable Device Gait Data for Identifying Patients With Stroke Unable to Return to Work

Neural Entrainment Meets Behavior: The Stability Index as a Neural Outcome Measure of Auditory-Motor Coupling

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