Rebecca Schaefer is an associate professor in the Health, Medical- and Neuropsychology unit, and leads the 'Music, Brain, Health & Technology'-group. Before coming to Leiden University, she held a SAGE Jr research fellowship at UC Santa Barbara, USA, and a European Marie Curie fellowship at the University of Edinburgh, UK. She completed a PhD work at the Donders Institute for Brain, Cognition and Behavior of Radboud University Nijmegen, The Netherlands, after receiving MSc's in Clinical Neuropsychology and Music Cognition from the University of Amsterdam, The Netherlands, and Keele University, UK, respectively. She is also on the staff of the Academy of Creative and Performing Arts, supervising research and providing teaching. Recent updates and a full cv can be found at www.rebeccaschaefer.net.
The research carried out by the 'Music, Brain, Health & Technology'-group is mainly focused on clinical applications of music and the related neural processes, as well as the possibilities of novel technological advances towards the use of music technology for health. Examples of topic areas are moving to music, music imagery, and effects of music on other functions, such as cognition or reward, but also the underlying principles of learning musical skills. Based in Clinical Neuropsychology, music psychology and cognitive neuroscience, our work aims to better understand musical interactions and harness these in clinical applications, based on behavioral and neural measures. To this end, we collaborate with various other fields of expertise, such as AI and computational musicology, composers, music therapists, and medical specialisms.
Rebecca teaches in the Bachelor Psychology and the Master specialization Clinical Neuropsychology, supervising MSc theses. As part of the Minor ‘Music Studies’ she also teaches a module on ‘Music Cognition’ at the Faculty of Humanities.
- SNAAR festival: Een toegankelijke verbinding tussen muziek en wetenschap. [SNAAR Festival: an accessible connection between music and science] NWA-WECOM, 2020, €50K
- Aspasia grant NWO, 2019-2023, €150K
- Playing towards health: Evidence-based musical games for movement recovery. Leverhulme Trust Early Career Fellowship, afgeslagen voor SAGE Fellowship, £200K
- Scottish Music and Health Network. Carnegie Trust Larger Grant, 2013-2015, £50K (co-aanvrager)
- MUSICMOVES: Let the music move you: involvement of motor networks of the brain in music processing. FP7-PEOPLE-2010-IEF grant, 2011-2013, €200K
- Faculteit der Sociale Wetenschappen
- Instituut Psychologie
- Gezondheids, Medische- Neuropsychologie
- Moore E., Schaefer R.S., Bastin M.E., Roberts J. & Overy K. (2017), Diffusion tensor MRI tractography reveals increased fractional anisotropy in arcuate fasciculus following music-cued motor training, Brain and Cognition 116: 40-46.
- Schaefer R.S. & Grafton S.T. (2017), Modifying movement optimization processes with music. In: LeSaffre M., Maes P.-J., Leman M. (Eds.) The Routledge Companion to Embodied Music Interaction. New York: Taylor & Francis. 313-320.
- De Bruin J.J. & Schaefer R.S. (2017), Musical activities and cognitive enhancement in dementia. In: Colzato L.S. (Ed.) Theory-driven approaches to cognitive enhancement. Cham: Springer. 273-280.
- Schaefer R.S. (2017), Music in the brain: Imagery and memory. In: Ashley R., Timmers R. (Eds.) The Routledge Companion to Music Cognition. New York: Taylor & Francis. 25-35.
- Schaefer R.S., Beijer L.J., Seuskens W., Rietveld T.C. & Sadakata M. (2016), Intuitive visualizations of pitch and loudness in speech, Psychonomic bulletin & review 23(3): 548-555.
- Schaefer R.S. & Overy K. (2015), Motor responses to a steady beat, Annals of the New York Academy of Sciences 1337: 40-44.
- Davidson-Kelly K., Schaefer R.S., Moran N. & Overy K. (2015), "Total Inner Memory": Deliberate uses of multimodal musical imagery during performance preparation, Psychomusicology: Music, Mind and Brain 25(1): 83-92.
- Moore E., Schaefer R.S., Bastin M.E., Roberts N. & Overy K. (2014), Can musical training influence brain connectivity? Evidence from diffusion tensor MRI, Brain Sciences 4(2): 405-427.
- Schaefer R.S., Morcom A.M., Roberts N. & Overy K. (2014), Moving to music: Effects of heard and imagined musical cues on movement-related brain activity, FRONTIERS IN HUMAN NEUROSCIENCE 8: e774.
- Schaefer R.S. (2014), Auditory rhythmic cueing in movement rehabilitation: Findings and possible mechanisms, Philosophical transactions of the Royal Society of London. Series B, Biological sciences 369(1658): e20130402.
- Schaefer Rebecca S. (2014), Images of time: Temporal aspects of auditory and movement imagination, Frontiers in Psychology 5: e877.
- Schaefer R.S. (2014), Mental representations in musical processing and their role in action-perception loops, Empirical Musicology Review 9(3-4): 161-176.
- Schaefer R.S., Overy K. & Nelson P. (2013), Affect and non-uniform characteristics of predictive processing in musical behaviour, The Behavioral and brain sciences 36(3): 226-227.
- Schaefer R.S., Desain P. & Farquhar J. (2013), Shared processing of perception and imagery of music in decomposed EEG, NeuroImage 70: 317-326.
- Schaefer R.S., Furuya S., Smith L.M., Bohannan Kaneshiro B. & Toiviainen P. (2012), Probing neural mechanisms of music perception, cognition and performance using multivariate decoding, Psychomusicology: Music, Mind and Brain 22(2): 168-174.
- Schaefer R.S., Vlek R.J. & Desain P. (2011), Music perception and imagery in EEG: Alpha band effects of task and stimulus, International journal of psychophysiology : official journal of the International Organization of Psychophysiology 82(3): 254-259.
- Vlek R.J., Schaefer R.S., Gielen C.C.A.M., Farquhar J.D.R. & Desain P. (2011), Shared mechanisms in perception and imagery of auditory accents, Clinical Neurophysiology 122(8): 1526-1532.
- Vlek R.J., Schaefer R.S., Gielen C.C., Farquhar J.D. & Desain P. (2011), Sequenced subjective accents for brain-computer interfaces, Journal of neural engineering 8(3): e036002.
- Schaefer R.S., Farquhar J., Blokland Y., Sadakata M. & Desain P. (2011), Name that tune: Decoding music from the listening brain, NeuroImage 56(2): 843-849.
- Schaefer R.S., Vlek R.J. & Desain P. (2011), Decomposing rhythm processing: Electroencephalography of perceived and self-imposed rhythmic patterns, Psychological research 75(2): 95-106.
- Schaefer R.S., Desain P. & Suppes P. (2009), Structural decomposition of EEG signatures of melodic processing, Biological psychology 82(3): 253-259.
- Van Gerven M., Farquhar J., Schaefer R., Vlek R., Geuze J., Nijholt A., Ramsey N., Haselager P., Vuurpijl L., Gielen S. & Desain P. (2009), The brain-computer interface cycle, Journal of neural engineering 6(4): e041001.
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