Abstract
This pilot study investigates the effect of music-based rhythmic auditory stimulation on stroke patients.
Six stroke participants wore a wearable mocap system (Xsens, MVN Awinda, Movella, NL) performing the ten-meter walking test (10WMT) while listening through headphones to familiar, rock, and no music. From the findings of this study, rock music had the least effect in general, and familiar music had the best effect on 10MWT center of Mass (COM) velocity and accelerations in anterior posterior direction. Although this study was conducted in a smaller sample size, the present findings confirm the value of music-based RAS as beneficial and effective tools to employ in health care for the rehabilitation of neurological patients with movement disorders in addition to conventional therapy. Further study will aim to extend this protocol to a broader population investigating the effects of different type of music on balance and gait.
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References
Koh, S.-H., Park, H.-H.: Neurogenesis in stroke recovery. Transl. Stroke Res. 8(1), 3–13 (2016). https://doi.org/10.1007/s12975-016-0460-z
Murphy, S.J., Werring, D.J.: Stroke: causes and clinical features. Medicine (Abingdon, England UK edn.) 48(9), 561–566 (2020). https://doi.org/10.1016/j.mpmed.2020.06.002
Knierim, J.J.: Motor cortex (Section 3, Chap. 3). In: Byrne, H. (ed), Neuroscience Online an Electronic Textbook for the Neurosciences (1997)
Javed, K., Reddy, V., Lui, F.: Neuroanatomy, cerebral cortex. In: StatPearls. StatPearls Publishing Copyright © 2022, StatPearls Publishing LLC., Treasure Island (FL) (2022)
Hutchinson, K., et al.: A music-based digital therapeutic: proof-of-concept automation of a progressive and individualized rhythm-based walking training program after stroke. Neurorehabil. Neural Rep. 34(11), 986–996 (2020)
Sihvonen, A.J., et al.: Music-based interventions in neurological rehabilitation. Lancet Neurol. 16(8), 648–660 (2017)
Kim, S.J., Shin, Y.K., Yoo, G.E., Chong, H.J., Cho, S.R.: Changes in gait patterns induced by rhythmic auditory stimulation for adolescents with acquired brain injury. Ann. N. Y. Acad. Sci. 1385(1), 53–62 (2016). https://doi.org/10.1111/nyas.13294
Braun Janzen, T., Koshimori, Y., Richard, N.M., Thaut, M.H.: Rhythm and music-based interventions in motor rehabilitation: current evidence and future perspectives. Front. Hum. Neurosci. 15, 843 (2022). https://doi.org/10.3389/fnhum.2021.789467
Mallo-LĂ³pez, A., et al.: The use of portable devices for the instrumental assessment of balance in patients with chronic stroke: a systematic review. Int. J. Environ. Res. Public Health. 19(17) (2022). https://doi.org/10.3390/ijerph191710948
Aholt, K., et al.: A mobile solution for rhythmic auditory stimulation gait training. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. 2019, 309–312 (2019)
Hankinson, K., et al.: A tailored music-motor therapy and real-time biofeedback mobile phone app (‘GotRhythm’) to promote rehabilitation following stroke: a pilot study. Neurosci. Insights 17, 26331055221100588 (2022)
Moumdjian, L., et al.: Continuous 12 min walking to music, metronomes and in silence: auditory-motor coupling and its effects on perceived fatigue, motivation and gait in persons with multiple sclerosis. Mult. Scler. Relat. Disord. 35, 92–99 (2019)
Zhao, Y., et al.: Feasibility of external rhythmic cueing with the Google Glass for improving gait in people with Parkinson’s disease. J. Neurol. 263(6), 1156–1165 (2016)
Lopez, W.O.C., et al.: Listenmee and Listenmee smartphone application: synchronizing walking to rhythmic auditory cues to improve gait in Parkinson’s disease. Hum. Mov. Sci. 37, 147–156 (2014)
Park, K.S., Hass, C.J., Janelle, C.M.: Familiarity with music influences stride amplitude and variability during rhythmically-cued walking in individuals with Parkinson’s disease. Gait Posture 87, 101–109 (2021)
Uchitomi, H., et al.: Effect of interpersonal interaction on festinating gait rehabilitation in patients with Parkinson’s disease. PLoS ONE 11(6), e0155540 (2016)
Cai, Y., et al.: Closed-looped sensing and stimulation system for Parkinson’s disease early diagnosis and rehabilitation. Smart Health 26, 100338 (2022)
Kantan, P., Spaich, E.G., Dahl, S.: A technical framework for musical biofeedback in stroke rehabilitation. IEEE Trans. Hum.-Mach. Syst. 52(2), 220–231 (2022)
Braunlich, K., et al.: Rhythmic auditory cues shape neural network recruitment in Parkinson’s disease during repetitive motor behavior. Eur. J. Neurosci. 49(6), 849–858 (2019)
Scataglini, S., Andreoni, G., Fusca, M., Porta, M.: Effect of rhythmic music auditory stimulation on tics modulation in Tourette syndrome: a case study. J. Neurol. Neurosurg. 5(5) (2017). https://doi.org/10.19080/OAJNN.2017.05.555673
Scataglini, S., Fusca, M., Andreoni, G., Porta, M.: Application of wearable monitoring system in tourette syndrome assessment. In: Perego, P., Andreoni, G., Rizzo, G. (eds.) MobiHealth 2016. LNICSSITE, vol. 192, pp. 100–106. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58877-3_13
Perera, S., et al.: Meaningful change and responsiveness in common physical performance measures in older adults. J. Am. Geriatr. Soc. 54(5), 743–749 (2006)
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Scataglini, S., Van Dyck, Z., Declercq, V., Van Cleemput, G., Truijen, S. (2023). The Effect of Music-Based Rhythmic Auditory Stimulation on Stroke Using Wearable Devices: A Pilot Study. In: Scataglini, S., Harih, G., Saeys, W., Truijen, S. (eds) Advances in Digital Human Modeling . DHM 2023. Lecture Notes in Networks and Systems, vol 744. Springer, Cham. https://doi.org/10.1007/978-3-031-37848-5_30
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