References
Note: all URL links below were last accessed on 28 July 2022.
Adrian, E.D. and Matthews, B.H., 1934. The berger rhythm: Potential changes from the occipital lobes in man. Brain, 57(4), pp.355–385.
Alawieh, H., Dawy, Z., Yaacoub, E., Abbas, N. and El-Imad, J., 2019. A real-time ECG feature extraction algorithm for detecting meditation levels within a general measurement setup. In: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 23-27 July 2019, Berlin, Germany: IEEE.pp.99–103.
Alkoby, O., Abu-Rmileh, A., Shriki, O. and Todder, D., 2018. Can we predict who will respond to neuro- feedback? A review of the inefcacy problem and existing predictors for successful EEG neurofeedback learning. Neuroscience, 378, pp.155–164. https://doi.org/10.1016/j.neuroscience.2016.12.050.
Applied Psychophysiology Education, 2021. Applied psychophysiology education’s 2021 neurofeedback bibliography. Available at: https://bio-medical.com/resources/applied-psychophysiology-educations- 2021-neurofeedback-bibliography/.
Arslan, B., Brouse, A., Castet, J., Filatriau, J.-J., Lehembre, R., Noirhomme, Q. and Simon, C., 2005. Biologically-driven musical instrument. In: Proceedings of the Summer Workshop on Multimodal Interfaces (eNTERFACE’05). 18 July - 12 August 2005, Mons, Belgium.
Baena, L.S., Fuente, G.A.C.-D. la, Martos-Cabrera, M.B., Gómez-Urquiza, J.L., Albendin-Garcia, L., Romero-Bejar, J.L. and Suleiman-Martos, N., 2021. Efects of neurofeedback in children with attention- defcit/hyperactivity disorder: A systematic review. Journal of Clinical Medicine, 10(17), p.3797. https://doi.org/10.3390/jcm10173797.
Baijal, S. and Srinivasan, N., 2009. Theta activity and meditative states: Spectral changes during concentrative meditation. Cognitive Processing, 11(1), pp.31–38. https://doi.org/10.1007/s10339-009- 0272-0.
Banquet, J.P., 1973. Spectral analysis of the EEG in meditation. Electroencephalography and Clinical Neurophysiology, 35(2), pp.143–151. https://doi.org/10.1016/0013-4694(73)90170-3.
Bates, E., 2009. The composition and performance of spatial music. PhD thesis. Trinity College Dublin. Becker, J., 2012. Rhythmic entrainment and evolution. In: J. Berger and G. Turow, eds. Music, Science, and the Rhythmic Brain: Cultural and Clinical Implications. Routledge New York, NY.pp.49–72. Berger, H., 1929. Über das elektroenkephalogramm des menschen. Archiv für psychiatrie und nervenkrankheiten, 87(1), pp.527–570.
Berger, J., Lee, K. and Yeo, W.S., 2001. Singing the mind listening. In: Proceedings of the International Conference on Auditory Display (ICAD). 29 July - 1 August 2001, Espoo, Finland.
Bing-Canar, H., Pizzuto, J. and Compton, R.J., 2016. Mindfulness-of-breathing exercise modu- lates EEG alpha activity during cognitive performance. Psychophysiology, 53(9), pp.1366–1376. https://doi.org/10.1111/psyp.12678.
Binias, B., Myszor, D. and Cyran, K.A., 2018. A machine learning approach to the detection of pilot’s reaction to unexpected events based on EEG signals. Computational Intelligence and Neuroscience, 2018, pp.1–9. https://doi.org/10.1155/2018/2703513.
Blasius, B., Huppert, A. and Stone, L., 1999. Complex dynamics and phase synchronization in spatially extended ecological systems. Nature, 399(6734), pp.354–359. https://doi.org/10.1038/20676.
Boyle, R.E., 2007. Neoshamanism and the shadow: ‘The soul’s journey’. PhD thesis. University of Western Sydney.
Bramble, D.M. and Carrier, D.R., 1983. Running and breathing in mammals. Science, 219(4582), pp.251–256.
Brandmeyer, T. and Delorme, A., 2013. Meditation and neurofeedback. Frontiers in Psychology, 4. https://doi.org/10.3389/fpsyg.2013.00688.
Brilla, L. and Hatcher, S., 2000. Efect of sonic driving on maximal aerobic performance. American Journal of Human Biology: The Ofcial Journal of the Human Biology Association, 12(4), pp.558–565.
Bronkhorst, J., 2014. Can there be a cultural history of meditation? With special reference to India. Hindu, Buddhist and Daoist Meditation. Cultural Histories, pp.27–40.
Brouse, A., 2001. The interharmonium: An investigation into networked musical applications and brainwaves. Master’s thesis. Music Technology, Faculty of Music McGill University, Montréal. Brouse, A., 2007. A young person’s guide to brainwave music. [online article]. Available at: https://econtact.ca/14_2/brouse_brainwavemusic.html.
Bryson, T.P. and Siegel, D., 2012. The whole-brain child: 12 proven strategies to nurture your child’s developing mind. Hachette UK.
Bulley, J. and Sahin, O., 2021. Practice research-report 1: What is practice research? and report 2: How can practice research be shared? Practice Research Advisory Group UK (PRAG-UK), London. Available at: https://research.gold.ac.uk/id/eprint/30222/.
Cahn, B.R. and Polich, J., 2006. Meditation states and traits: EEG, ERP, and neuroimaging studies. 157 Psychological Bulletin, 132(2), pp.180–211. https://doi.org/10.1037/0033-2909.132.2.180.
Çamcı, A. and Hamilton, R., 2020. Audio-frst VR: New perspectives on musical experiences in virtual environments. Journal of New Music Research, 49(1), pp.1–7. https://doi.org/10.1080/09298215.2019.1707234.
Candy, L., 2006. Practice based research: A guide. Creativity & Cognition Studios Report Summary. Available at: http://lindacandy.com/about-me/research/practice-based-research/.
Carhart-Harris, R., Giribaldi, B., Watts, R., Baker-Jones, M., Murphy-Beiner, A., Murphy, R., Martell, J., Blemings, A., Erritzoe, D. and Nutt, D.J., 2021. Trial of psilocybin versus escitalopram for depression. New England Journal of Medicine, 384(15), pp.1402–1411. https://doi.org/10.1056/nejmoa2032994.
Carhart-Harris, R.L., Roseman, L., Haijen, E., Erritzoe, D., Watts, R., Branchi, I. and Kaelen, M., 2018. Psychedelics and the essential importance of context. Journal of Psychopharmacology, 32(7), pp.725–731. https://doi.org/10.1177/0269881118754710.
Casiday, A., 2013. Imageless prayer and imagistic meditation in orthodox Christianity. In: H. Eifring, ed. Meditation in Judaism, Christianity and Islam. Bloomsbury.pp.173–188.
Cattan, G., 2021. The use of brain–computer interfaces in games is not ready for the general public. Frontiers in Computer Science, 3. https://doi.org/10.3389/fcomp.2021.628773.
Chaieb, L. and Fell, J., 2017. Binaural beat stimulation. In: Theory-Driven Approaches to Cognitive Enhancement. Springer International Publishing.pp.167–181. https://doi.org/10.1007/978-3-319-57505-6_12.
Charet, F.X., 1999. Jung and shamanism in dialogue: Retrieving the soul/retrieving the sacred. Nova Religio, 2(2), pp.327–328. https://doi.org/10.1525/nr.1999.2.2.327.
Collura, T.F., 2017. Technical foundations of neurofeedback. Routledge. Costandi, M., 2016. Neuroplasticity. MIT Press, London.
Cowie, R., Douglas-Cowie, E., Savvidou, S., McMahon, E., Sawey, M. and Schröder, M., 2000. ’FEEL-TRACE’: An instrument for recording perceived emotion in real time. In: ISCA Tutorial and Research Workshop (ITRW) on Speech and Emotion. 5-7 September, 2000, Newcastle, Northern Ireland, UK.
Daly, I., Williams, D., Hwang, F., Kirke, A., Malik, A., Roesch, E., Weaver, J., Miranda, E. and Nasuto, S.J., 2014. Investigating music tempo as a feedback mechanism for closed-loop BCI control. Brain-Computer Interfaces, 1(3-4), pp.158–169. https://doi.org/10.1080/2326263x.2014.979728.
Daly, I., Williams, D., Kirke, A., Weaver, J., Malik, A., Hwang, F., Miranda, E. and Nasuto, S.J., 2016. Afective brain–computer music interfacing. Journal of Neural Engineering, 13(4), p.046022. https://doi.org/10.1088/1741-2560/13/4/046022.
Daly, I., Williams, D., Malik, A., Weaver, J., Kirke, A., Hwang, F., Miranda, E. and Nasuto, S.J., 2015. Identifying music-induced emotions from EEG for use in brain-computer music interfacing. In: 2015 International Conference on Afective Computing and Intelligent Interaction (ACII). 21-24 September 2015, Xi’an, China: IEEE.
Daly, I., Williams, D., Malik, A., Weaver, J., Kirke, A., Hwang, F., Miranda, E. and Nasuto, S.J., 2020. Personalised, multi-modal, afective state detection for hybrid brain-computer music interfacing. IEEE Transactions on Afective Computing, 11(1), pp.111–124. https://doi.org/10.1109/tafc.2018.2801811.
Davis, W.B., Gfeller, K.E. and Thaut, M.H., 2008. An introduction to music therapy: Theory and practice. Silver Spring, MD: The American Music Therapy Association.
De la Hera Conde-Pumpido, T., 2017. Persuasive gaming: Identifying the diferent types of persuasion through games. International Journal of Serious Games, 4(1). https://doi.org/10.17083/ijsg.v4i1.140.
DensityDesign, Calibro and Inmagik, 2013. RAWGraphs: An open source data visualization framework built with the goal of making the visual representation of complex data easy for everyone. [web-based computer program]. Available at: https://www.rawgraphs.io/.
Dhindsa, K., Gauder, K.D., Marszalek, K.A., Terpou, B. and Becker, S., 2018. Progressive thresholding: Shaping and specifcity in automated neurofeedback training. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(12), pp.2297–2305. https://doi.org/10.1109/tnsre.2018.2878328.
Donald, M.E. and Pinson, J., 2012. Music therapy in principle and practice. Charles C Thomas Publisher. Drechsler, A. and Ahlemann, F., 2015. Toward a general theory of agile project management - a research design. In: 23rd European Conference on Information Systems (ECIS). 26-29 May, 2015, Münster, Germany. Available at: https://aisel.aisnet.org/ecis2015_rip/25/.
Dribus, J., 2004. The other ear: A musical sonifcation of EEG data. In: Proceedings of the International Conference on Auditory Display (ICAD). 6-9 July 2004, Sydney, Australia.
Eaton, J., 2016. Brain-computer music interfacing: Designing practical systems for creative applications. PhD thesis. University of Plymouth.
Eaton, J., Jin, W. and Miranda, E., 2014. The space between us. A live performance with musical score generated via emotional levels measured in EEG of one performer and an audience member. In: Proceedings of the International Conference on New Interfaces for Musical Expression. London, UK: Goldsmiths, University of London.pp.593–596. https://doi.org/10.5281/zenodo.1178756.
Eaton, J. and Miranda, E., 2013a. Activating memory: Live music performance for a brainwave quartet and a string quartet. Available at: https://joeleaton.co.uk/project/activating-memory/.
Eaton, J. and Miranda, E., 2013b. BCMI systems for musical performance. In: 10th International Symposium on Computer Music Multidisciplinary Research (CMMR): Sound, Music and Motion. 15-18 October, Marseille, France: Citeseer.
Eaton, J. and Miranda, E., 2014a. Expanding on brain control: A real-time hybrid BCMI for drum machine combining active (SSVEP) and passive (afective response) brainwave control. In: 9th Conference on Interdisciplinary Musicology - Cim14. 4-6 December, Berlin, Germany: Citeseer.
Eaton, J. and Miranda, E.R., 2014b. On mapping eeg information into music. In: E.R. Miranda and J. Castet, eds. Guide to Brain-Computer Music Interfacing. Springer London.pp.221–254.
Eaton, J. and Miranda, E.R., 2015. The hybrid brain computer music interface-integrating brainwave detection methods for extended control in musical performance systems. In: International Symposium on Computer Music Multidisciplinary Research (CMMR 2015). 16-19 June 2015, Plymouth, UK: Springer.pp.132–145.
Eaton, J., Williams, D. and Miranda, E., 2014. Afective jukebox: A confrmatory study of EEG emotional correlates in response to musical stimuli. In: Proceedings of the 2014 Joint International Computer Music Conference and Sound & Music Computing Conference. 14-20 September 2014, Athens, Greece.
Eaton, J., Williams, D. and Miranda, E., 2015. The space between us: Evaluating a multi- user afective brain-computer music interface. Brain-Computer Interfaces, 2(2-3), pp.103–116. https://doi.org/10.1080/2326263x.2015.1101922.
Eaton, M.L., 1973. Induce and control: Bio-music is here today. Music Educators Journal, 59(5), pp.54–57. Ehrlich, S.K., Agres, K.R., Guan, C. and Cheng, G., 2019. A closed-loop, music-based brain-computer interface for emotion mediation. PLOS ONE, 14(3), p.e0213516. https://doi.org/10.1371/journal.pone.0213516. Facebook, 2007. Shamanism, 5d and beyond. [Facebook group]. Available at: https://www.facebook.com/groups/13204325203.
Facebook, 2019. Shamanism - shamans and sprits. [Facebook group]. Available at: https://www.facebook.com/groups/ShamansAndSpirits.
Fachner, J., 2006a. Music and altered states of consciousness: An overview. In: D.A. & J. Fachner, ed. Music and Altered States - Consciousness, Transcendence, Therapy and Addictions. Jessica Kingsley Publishers.pp.15–50.
Fachner, J., 2006b. Music and drug-induced altered states of consciousness. In: D.A. & J. Fachner, ed. Music and Altered States - Consciousness, Transcendence, Therapy and Addictions. Jessica Kingsley Publishers.pp.82–96.
Fachner, J., 2011. Time is the key: Music and altered states of consciousness. In: E. Cardeña and M. Winkelman, eds. Altering Consciousness: A Multidisciplinary Perspective. Praeger.pp.355–376.
Farias, M., Brazier, D. and Lalljee, M., 2021. Introduction: Understanding and studying meditation. In: M. Farias, D. Brazier and M. Lalljee, eds. The Oxford Handbook of Meditation. Oxford University Press.pp.1–17. https://doi.org/10.1093/oxfordhb/9780198808640.013.1.
Fatt, J.P.T., 1998. Nonverbal communication and business success. Management Research News, 21(4/5), pp.1–10. https://doi.org/10.1108/01409179810781464.
Fedotchev, A., Parin, S., Polevaya, S. and Zemlianaia, A., 2021. EEG-based musical neurointerfaces in the correction of stress-induced states. Brain-Computer Interfaces, 9(1), pp.1–6. https://doi.org/10.1080/2326263x.2021.1964874.
Fedotchev, A., Radchenko, G. and Zemlianaia, A., 2018. Music of the brain approach to health protection. Journal of Integrative Neuroscience, 17(3). https://doi.org/10.31083/jin-170053.
Ferretti, R. and Eväkallio, J., 2020. Foam: A personal knowledge management and sharing system inspired by Roam Research, built on Visual Studio Code and GitHub. [software]. Available at: https://foambubble.github.io/.
Fink, T.E., 2012. The enhancement of neurofeedback with a low cost and easy-to-use NeuroSky EEG biofeedback training device: The MindRefectorProtocols. MindRefector Technologies LLC, 3.
Fish, B.J., 2019. Response art in art therapy: Historical and contemporary overview. Art Therapy, 36(3), pp.122–132. https://doi.org/10.1080/07421656.2019.1648915.
Flor-Henry, P., Shapiro, Y. and Sombrun, C., 2017. Brain changes during a shamanic trance: Altered modes of consciousness, hemispheric laterality, and systemic psychobiology. Cogent Psychology, 4(1), p.1313522. https://doi.org/10.1080/23311908.2017.1313522.
Fober, D., Orlarey, Y. and Letz, S., 2012. INScore-an environment for the design of live music scores. In: Linux Audio Conference. 12-15 April, Center for Computer Research in Music; Acoustics, Stanford University, California.
Forcucci, L., 2018. Music for brainwaves: Embodiment of sound, space and EEG data. Body, Space & Technology, 17(1). https://doi.org/10.16995/bst.297.
Frecska, E., Hoppál, M. and Luna, L.E., 2016. Nonlocality and the shamanic state of consciousness. NeuroQuantology, 14(2). https://doi.org/10.14704/nq.2016.14.2.934.
Frey, J., 2016. Comparison of an open-hardware electroencephalography amplifer with medical grade device in brain-computer interface applications. arXiv. https://doi.org/10.48550/ARXIV.1606.02438. Fry, C., Ben. & Reas, 2001. Processing: A fexible software sketchbook and a language for learning how to code within the context of the visual arts. Available at: https://processing.org.
Godin, S., 2018. This is marketing: You can’t be seen until you learn to see. London: Penguin Random House, Business.
Goldman, J.S., 2000. Sonic entrainment. In: D. Campbell, ed. Music: Physician for Times to Come. Wheaton, Illinois: Quest Books Theosophical Publishing House.
Gong, A., Gu, F., Nan, W., Qu, Y., Jiang, C. and Fu, Y., 2021. A review of neurofeedback training for improving sport performance from the perspective of user experience. Frontiers in Neuroscience, 15. https://doi.org/10.3389/fnins.2021.638369.
Goodman, F.D. and Nauwald, N., 2003. Ecstatic trance: New ritual body postures. Binkey Kok, Holland. Greentek, 2018. Gelfree-S3 EEG recording head cap with international standard 10-20 electrode placement. [hardware]. Available at: http://www.greenteksensor.com.
Grierson, M., 2008. Composing with brainwaves: Minimal trial P300b recognition as an indication of subjective preference for the control of a musical instrument. In: Proceedings of the International Computer Music Conference (ICMC). 24 - 29 Aug 2008, Belfast, UK. Available at: http://research.gold.ac.uk/id/eprint/15358.
Grierson, M. and Kiefer, C., 2011. Better brain interfacing for the masses: Progress in event-related potential detection using commercial brain computer interfaces. In: CHI’11 Extended Abstracts on Human Factors in Computing Systems. May 7–12, 2011, Vancouver, BC, Canada.pp.1681–1686. https://doi.org/https://doi.org/10.1145/1979742.1979828.161
Grierson, M. and Kiefer, C., 2014. Contemporary approaches to music BCI using P300 event related potentials. In: E.R. Miranda and J. Castet, eds. Guide to Brain-Computer Music Interfacing. London: Springer London.pp.43–59. https://doi.org/10.1007/978-1-4471-6584-2_3.
Grierson, M., Kiefer, C. and Yee-King, M., 2011. Progress report on the EAVI BCI toolkit for music: Musical applications of algorithms for use with consumer brain computer interfaces. In: Proceedings of the International Computer Music Conference (ICMC). 31 July - 5 August, Huddersfeld, UK. Available at: http://research.gold.ac.uk/id/eprint/15356.
Grimshaw, M., Lindley, C. and Nacke, L., 2008. Sound and immersion in the frst-person shooter: Mixed measurement of the player’s sonic experience. In: Audio Mostly - a Conference on Interaction with Sound. 22 – 23 October , Pitea, Sweden.
Groesbeck, C.J., 1989. C. G. Jung and the shaman’s vision. Journal of Analytical Psychology, 34, pp.255–275.
Grossman, P., Niemann, L., Schmidt, S. and Walach, H., 2004. Mindfulness-based stress reduction and health benefts. Journal of Psychosomatic Research, 57(1), pp.35–43. https://doi.org/10.1016/s0022- 3999(03)00573-7.
Gruber, D.R., 2020. Brain art and neuroscience: Neurosensuality and afective realism. Routledge. Gruzelier, J., 2008. A theory of alpha/theta neurofeedback, creative performance enhancement, long distance functional connectivity and psychological integration. Cognitive Processing, 10(S1), pp.101–109. https://doi.org/10.1007/s10339-008-0248-5.
Gruzelier, J.H., 2014a. EEG-neurofeedback for optimising performance. I: A review of cognitive and afective outcome in healthy participants. Neuroscience & Biobehavioral Reviews, 44, pp.124–141. https://doi.org/10.1016/j.neubiorev.2013.09.015.
Gruzelier, J.H., 2014b. EEG-neurofeedback for optimising performance. II: Creativity, the performing arts and ecological validity. Neuroscience & Biobehavioral Reviews, 44, pp.142–158. https://doi.org/10.1016/j.neubiorev.2013.11.004.
Gruzelier, J.H., 2014c. EEG-neurofeedback for optimising performance. III: A review of methodological and theoretical considerations. Neuroscience & Biobehavioral Reviews, 44, pp.159–182. https://doi.org/10.1016/j.neubiorev.2014.03.015.
Gruzelier, J.H., 2018. Enhancing creativity with neurofeedback in the performing arts: Actors, musicians, dancers. In: S. Burgoyne, ed. Creativity in Theatre: Theory and Action in Theatre/Drama Education. Cham: Springer International Publishing.pp.223–245. https://doi.org/10.1007/978-3-319-78928-6_14.
Hara, Y., 2015. Brain plasticity and rehabilitation in stroke patients. Journal of Nippon Medical School, 82(1), pp.4–13. https://doi.org/10.1272/jnms.82.4.
Harner, M., 1980. The way of the shaman. Harper & Row San Francisco.
Harner, M., 1993. 15-minute solo drumming with a callback. [sound recording]. Part of ’Shamanic Journey Solo And Double Drumming’ release. Label: Foundation For Shamanic Studies. Available at: https://www.discogs.com/Michael- Harner-No-1-Shamanic-Journey-Solo-And-Double-Drumming/master/1497927.
Harner, M., 2013. Cave and cosmos: Shamanic encounters with another reality. North Atlantic Books. Harner, S., Michael & Harner, 1979. Website of the Foundation of Shamanic Studies - preservation, study, and teaching of shamanic knowledge for the welfare of the planet and its inhabitants. Available at: https://www.shamanism.org.
Hartogsohn, I., 2017. Constructing drug efects: A history of set and setting. Drug Science, Policy and Law, 3, p.205032451668332. https://doi.org/10.1177/2050324516683325.
Hasenkamp, W., Wilson-Mendenhall, C.D., Duncan, E. and Barsalou, L.W., 2011. Mind wandering and attention during focused meditation: A fine-grained temporal analysis of fuctuating cognitive states. NeuroImage, 59(1), pp.750–760. https://doi.org/10.1016/j.neuroimage.2011.07.008.
Henry, P., 1971. Mise en musique du corticalart de Roger Lafosse. Prospective 21e Siècle [6521 022].
Heppner, W.L. and Shirk, S.D., 2018. Mindful moments: A review of brief, low-intensity mindfulness meditation and induced mindful states. Social and Personality Psychology Compass, 12(12), p.e12424. https://doi.org/10.1111/spc3.12424.
Hermann, T., 2008. Taxonomy and defnitions for sonifcation and auditory display. In: Proceedings of the International Conference on Auditory Display (ICAD). June 24-27, Paris, France.
Herre, J., Hilpert, J., Kuntz, A. and Plogsties, J., 2015. MPEG-h 3D audio—the new standard for coding of immersive spatial audio. IEEE Journal of Selected Topics in Signal Processing, 9(5), pp.770–779. https://doi.org/10.1109/jstsp.2015.2411578.
Hesam-Shariati, N., Chang, W.-J., Wewege, M.A., McAuley, J.H., Booth, A., Trost, Z., Lin, C.-T., Newton-John, T. and Gustin, S.M., 2021. The analgesic efect of electroencephalographic neurofeedback for people with chronic pain: A systematic review and meta-analysis. European Journal of Neurology, 29(3), pp.921–936. https://doi.org/10.1111/ene.15189.
Heuten, W., Wichmann, D. and Boll, S., 2006. Interactive 3D sonifcation for the exploration of city maps. In: Proceedings of the 4th Nordic Conference on Human-Computer Interaction Changing Roles - NordiCHI ‘06. ACM Press. https://doi.org/10.1145/1182475.1182492.
Hoadley, R., 2011. INScore class for SuperCollider: Software prototype for visual musical notation [software]. Available at: https://rhoadley.net/research/index.php#software.
Hofstädter, K., 2005. Insomnia. [oil painting]. (Part of 2004-2005 painting series made in Hungary, in private collection). Available at: https://khofstadter.com/painting.
Hofstädter, K., 2009. Brain-computer music interface with the IBVA machine (installation). In: Hci2009 Open House Festival of Interactive Technology. 1-5 September 2009, Microsoft Research Centre, Cambridge. Available at: https://bcmi.khofstadter.com/HCI2009.
Hofstädter, K., 2013. Focus prototype: First model of BCMI-1 including neurogame and fex-time music sequencer. Available at: https://khofstadter.com/focus-prototype.
Hofstädter, K., 2016. Brain-computer music interfacing for stress management (poster presentation). In: 10th Annual Anglia Ruskin University Research Conference. 6 June 2016, Chelmsford. Available at: https://bcmi.khofstadter.com/ARU-research-conference-poster.
Hofstädter, K., 2016a. Brain-computer music interfacing software development (demonstration of BCMI-1 prototype with real-time EEG). In: Musedelica Symposium. A Symposium for Researchers in the Field of Psychedelic Music and Related Areas. June, 14-15 2016, Brighton, The Sussex Humanities Lab, University of Sussex. Available at: https://bcmi.khofstadter.com/musedelica-symposium-demo.
Hofstädter, K., 2016b. Compulsive music waves I. [digital audio release]. Available at: https://tedor.band camp.com/album/compulsive-music-waves-1.
Hofstädter, K., 2016. Compulsive music waves. [screening and audio-video installation]. In: 2016 Pint of Science Festival. 23 April 2016, Cambridge. Available at: https://bcmi.khofstadter.com/pint-of- science-installation.
Hofstädter, K., 2016c. Developing brain-computer music interfacing software (demonstration with on-line EEG). In: Sonic Art Guest Talk at the Anglia Ruskin University. 3 March 2016, Cambridge. Available at: https://bcmi.khofstadter.com/firstsite-clip-sound-demo.
Hofstädter, K., 2016. Focus-sequencer standalone. [software application]. Available at: https://bcmi.kho fstadter.com/platypus-standalone-of-sequencer.
Hofstädter, K., 2016d. INScore experiments: Experiments sending musical scores from the NeuroSky- SuperCollider Interface to INScore. Available at: http://bcmi.khofstadter.com/inscore-experiment.
Hofstädter, K., 2017. Introducing BCMI-1 for meditation and artistic performance (demonstration with on-line EEG). Clip Sound Workshops. Available at: https://bcmi.khofstadter.com/firstsite-clip-sound- demo/.
Hofstädter, K., 2018. Compulsive music waves II. [digital audio release]. Available at: https://tedor.band camp.com/album/compulsive-music-waves-2.
Hofstädter, K., 2019a. BCMI-2 development video log. [YouTube video playlist]. Available at: https: //www.youtube.com/watch?v=k24T7po4XTU&list=PLRr9g36OjY681MfQrZcCA3SUxxWJFwkX C&index=1.
Hofstädter, K., 2019b. Demonstration of brain-computer music interfacing soundscape - generative rhythmic entrainment with BCMI-2. In: Audio Engineering Society International Conference on Immersive and Interactive Audio. 27 March 2019, York, UK. Available at: https://bcmi.khofstadter.c om/aes-york-conference-demo-2019.
Hofstädter, K., 2019c. Jester (quad mix). The streamable surround sound format of a piece from the Shamanic Soundscape - Level Two album. [digital audio]. Available at: https://surroundmusic.one/vi deo-streaming.
Hofstädter, K., 2019d. NeuroMeditation with music (presentation and live performance with BCMI-2). In: 2019 Cambridge Festival of Ideas. 26 October, Cambridge, UK. Available at: https://youtu.be/lFVzwZtmecc.
Hofstädter, K., 2019e. Shamanic soundscape - level two. [digital audio release]. Available at: https://tedor.bandcamp.com/album/shamanic-soundscape-level-two.
Hofstädter, K., 2019f. Shamanic soundscape - neurofeedback training sessions. [digital audio release]. Available at: https://tedor.bandcamp.com/album/shamanic-soundscape-neurofeedback-sessions.
Hofstädter, K., 2022. (Forthcoming) Journeys around the secret place. In: G. Farrell, ed. Psychedelic Music. Routledge.
Holmes, S.W., Morris, R., Clance, P.R. and Putney, R.T., 1996. Holotropic breathwork: An experiential approach to psychotherapy. Psychotherapy: Theory, Research, Practice, Training, 33(1), pp.114–120. https://doi.org/10.1037/0033-3204.33.1.114.
Hoogdalem, L.E. van, Feijs, H.M.E., Bramer, W.M., Ismail, S.Y. and Dongen, J.D.M. van, 2021. The efectiveness of neurofeedback therapy as an alternative treatment for autism spectrum disorders in children. Journal of Psychophysiology, 35(2), pp.102–115. https://doi.org/10.1027/0269-8803/a000265.
Horrell, R., 2020. Music and the brain: Composing with the electroencephalogram. Master’s thesis. University of Plymouth.
Houran, J., Lange, R. and Crist-Houran, M., 1997. An assessment of contextual mediation in trance states of shamanic journeys. Perceptual and Motor Skills, 85(1), pp.59–65. https://doi.org/10.2466/pms.1997.85.1.59.
Hove, M.J., Stelzer, J., Nierhaus, T., Thiel, S.D., Gundlach, C., Margulies, D.S., Dijk, K.R.A.V., Turner, R., Keller, P.E. and Merker, B., 2015. Brain network reconfguration and perceptual decoupling during an absorptive state of consciousness. Cerebral Cortex, 26(7), pp.3116–3124. https://doi.org/10.1093/cercor/bhv137.
Hrvatin, A., 2019. Monolit. [digital audio release]. Available at: https://nimetu.bandcamp.com/album/ monolit.
Huang, T.L. and Charyton, C., 2008. A comprehensive review of the psychological efects of brainwave entrainment. Database of Abstracts of Reviews of Efects (DARE): Quality-assessed Reviews [Internet].
Huels, E.R., Kim, H., Lee, U., Bel-Bahar, T., Colmenero, A.V., Nelson, A., Blain-Moraes, S., Mashour, G.A. and Harris, R.E., 2021. Neural correlates of the shamanic state of consciousness. Frontiers in Human Neuroscience, 15. https://doi.org/10.3389/fnhum.2021.610466.
Hung, A.C.-Y., 2007. Video games in context: An ethnographic study of situated meaning-making practices of Asian immigrant adolescents in New York City. In: Digital Games Research Association (DiGRA) Conference. 24-28 September, Tokyo, Japan.
Hunkin, H., King, D.L. and Zajac, I.T., 2020. EEG neurofeedback during focused attention medi- tation: Efects on state mindfulness and meditation experiences. Mindfulness, 12(4), pp.841–851. https://doi.org/10.1007/s12671-020-01541-0.
Hutcherson, C.A., Seppala, E.M. and Gross, J.J., 2008. Loving-kindness meditation increases social connectedness. Emotion, 8(5), pp.720–724. https://doi.org/10.1037/a0013237.
ISARS, 1993. SHAMAN: Journal of the International Society for Academic Research on Shamanism. Available at: http://www.isars.org/shaman.
ISNR, 2021. The International Society for Neuroregulation & Research ISNR comprehensive bibliography of neurofeedback research. Available at: https://isnr.org/isnr-comprehensive-bibliography.
ISNR, 2022. What is neurofeedback? A webpage of The International Society for Neuroregulation & Research ISNR. Available at: https://isnr.org/neurofeedback-introduction.
Jamal, J.E., 2013. Suf dhikr between meditation and prayer. In: H. Eifring, ed. Meditation in Judaism, Christianity and Islam. Bloomsbury.pp.189–200.
Jovanov, E. and Maxfeld, M.C., 2011. Entraining the brain and body. In: J. Berger and G. Turow, eds. Music, Science and the Rhythmic Brain: Cultural and Clinical Implications. Routledge London.pp.31–48.
Jung, C.G., 1960. Psychology and religion. Yale University Press.
Jung, C.G., Shamdasani, S.E., Kyburz, M.T. and Peck, J.T., 2009. The red book: Liber novus. WW Norton & Co.
Kabat-Zinn, J., 2003. Mindfulness-based stress reduction (MBSR). Constructivism in the Human Sciences, 8(2), p.73.
Kahn, D., 2013. Earth sound earth signal. University of California Press. https://doi.org/10.1525/j.ctt46n4hg.12. Kamiya, J., 2019. Some call me the father of clinical neurofeedback. In: Neurofeedback: The First Fifty Years. Academic Press.
Kamp, A., Kuiper, J. and Leeuwen, W.S. van, 1958. An electroencephalographic spectrophone. Electroencephalography and Clinical Neurophysiology, 10(2), p.334. https://doi.org/10.1016/0013-4694(58)90043-9.
Kawala-Sterniuk, A., Browarska, N., Al-Bakri, A., Pelc, M., Zygarlicki, J., Sidikova, M., Martinek, R. and Gorzelanczyk, E.J., 2021. Summary of over ffty years with brain-computer interfaces—a review. Brain Sciences, 11(1), p.43. https://doi.org/10.3390/brainsci11010043.
Kerous, B., Skola, F. and Liarokapis, F., 2017. EEG-based BCI and video games: A progress report. Virtual Reality, 22(2), pp.119–135. https://doi.org/10.1007/s10055-017-0328-x.
Kirke, A. and Miranda, E.R., 2011. Combining EEG frontal asymmetry studies with afective algorithmic composition and expressive performance models. Ann Arbor, MI: Michigan Publishing, University of Michigan Library.
Kohl, S.H., Mehler, D.M.A., Lührs, M., Thibault, R.T., Konrad, K. and Sorger, B., 2020. The potential of functional near-infrared spectroscopy-based neurofeedback—a systematic review and recommendations for best practice. Frontiers in Neuroscience, 14. https://doi.org/10.3389/fnins.2020.00594.
Kramer, G., Walker, B., Bonebright, T., Cook, P., Flowers, J.H., Miner, N. and Neuhof, J., 2010. Sonifcation report: Status of the feld and research agenda. Available at: https://digitalcommons.unl.edu/psychfacpub/444.
Krol, L.R., Andreessen, L.M. and Zander, T.O., 2018. Passive brain-computer interfaces: A perspective on increased interactivity. In: Brain-Computer Interfaces Handbook. CRC press.pp.69–86.
Kropotov, J.D., Mueller, A. and Ponomarev, V.A., 2011. ERP-based endophenotypes. In: Neurofeedback and Neuromodulation Techniques and Applications. Elsevier.pp.47–77. https://doi.org/10.1016/b978-0-12-382235-2.00003-2.
Kwon, C.-Y., Lee, B., Chung, S.-Y. and Kim, J.W., 2021. Do cochrane reviews refect the latest evidence on meditation and mindfulness-based interventions? A snapshot of the current evidence. EXPLORE, 17(6), pp.557–565. https://doi.org/10.1016/j.explore.2020.05.016.
Kyeong, S., Kim, J., Kim, D.J., Kim, H.E. and Kim, J.-J., 2017. Efects of gratitude meditation on neural network functional connectivity and brain-heart coupling. Scientifc Reports, 7(1). https://doi.org/10.1038/s41598-017-05520-9.
Lagopoulos, J., Xu, J., Rasmussen, I., Vik, A., Malhi, G.S., Eliassen, C.F., Arntsen, I.E., Sæther, J.G., Hollup, S., Holen, A., Davanger, S. and Ellingsen, Øyvind, 2009. Increased theta and alpha EEG activity during nondirective meditation. The Journal of Alternative and Complementary Medicine, 15(11), pp.1187–1192. https://doi.org/10.1089/acm.2009.0113.
Lai, C.Q., Ibrahim, H., Abdullah, M.Z., Abdullah, J.M., Suandi, S.A. and Azman, A., 2018. Artifacts and noise removal for electroencephalogram (EEG): A literature review. In: 2018 IEEE Symposium on Computer Applications and Industrial Electronics (ISCAIE). IEEE. https://doi.org/10.1109/iscaie.2018.8405493.
Landgarten, H.B., 2013. Clinical art therapy. Routledge. https://doi.org/10.4324/9780203776100. Laport López, F., 2022. Novel developments of brain-computer interfaces for smart home control. PhD thesis. PhD Program in Information Technology; Mobile Network Communication, University of A Coruna.
Lau-Zhu, A., Lau, M.P.H. and McLoughlin, G., 2019. Mobile EEG in research on neurodevelopmental disorders: Opportunities and challenges. Developmental Cognitive Neuroscience, 36, p.100635. https://doi.org/10.1016/j.dcn.2019.100635.
Leary, T., Litwin, G.H. and Metzner, R., 1963. Reactions to psilocybin administered in a supportive environment. Journal of Nervous and Mental Disease, 137(6), pp.561–573. https://doi.org/https: //psycnet.apa.org/doi/10.1097/00005053-196312000-00007.
Lee, D.J., Kulubya, E., Goldin, P., Goodarzi, A. and Girgis, F., 2018. Review of the neural oscillations underlying meditation. Frontiers in Neuroscience, 12. https://doi.org/10.3389/fnins.2018.00178.
Lopez, M., Kearney, G. and Hofstädter, K., 2018. Audio description in the UK: What works, what doesn’t, and understanding the need for personalising access. British Journal of Visual Impairment, p.026461961879475. https://doi.org/10.1177/0264619618794750.
Lucier, A., 1976. Statement on: Music for solo performer. In: D. Rosenboom, ed. Biofeedback and the Arts, Results of Early Experiments. Vancouver: Aesthetic Research Center of Canada Publications.pp.60–61. Lucier, A., 1995. Refections: Interviews, scores, writings. MusikTexte.
Lutters, B. and Koehler, P.J., 2016. Brainwaves in concert: The 20th century sonifcation of the electroencephalogram. Brain, 139(10), pp.2809–2814. https://doi.org/10.1093/brain/aww207.
Lutz, A., Dunne, J.D. and Davidson, R.J., 2007. Meditation and the neuroscience of consciousness: An introduction. In: P.D. Zelazo, M. Moscovitch and E. Thompson, eds. The Cambridge Handbook of Consciousness. Cambridge University Press.pp.499–552. https://doi.org/10.1017/cbo9780511816789.020.
Lynch, J., Prihodova, L., Dunne, P.J., McMahon, G., Carroll, A., Walsh, C. and White, B., 2018. Impact of mantra meditation on health and wellbeing: A systematic review protocol. European Journal of Integrative Medicine, 18, pp.30–33. https://doi.org/10.1016/j.eujim.2018.01.008.
Maas, U. and Strubelt, S., 2003. Music in the iboga initiation ceremony in Gabon: Polyrhythms supporting a pharmacotherapy. Music Therapy Today, 4(3).
Margolin, I., Pierce, J. and Wiley, A., 2011. Wellness through a creative lens: Mediation and visualization. Journal of Religion And Spirituality in Social Work: Social Thought, 30(3), pp.234–252. https://doi.org/10.1080/15426432.2011.587385.
Mason, S.G. and Birch, G.E., 2003. A general framework for brain-computer interface design. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 11(1), pp.70–85. https://doi.org/10.1109/tnsre.2003.810426.
May, A.D. and Maurin, E., 2021. Calm: A review of the mindful meditation app for use in clinical practice. Families, Systems & Health, 39(2), pp.398–400. https://doi.org/10.1037/fsh0000621.
Mäyrä, F. and Ermi, L., 2011. Fundamental components of the gameplay experience. Digarec Series, (6), pp.88–115.
McCartney, J., 1996. SuperCollider: A platform for audio synthesis and algorithmic composition [software]. Available at: https://supercollider.github.io.
McClintock, M.K. and others, 1971. Menstrual synchrony and suppression. Nature, 229(5282), pp.244–245. McFarland, D.J. and Wolpaw, J.R., 2008. Brain-computer interface operation of robotic and prosthetic devices. Computer, 41(10), pp.52–56. https://doi.org/10.1109/mc.2008.409.
McKee, M.G., 2008. Biofeedback: An overview in the context of heart-brain medicine. Cleveland Clinic Journal of Medicine, 75(2), pp.31–31. https://doi.org/10.3949/ccjm.75.suppl_2.s31.
Mealla., S., Oliveira., A., Marimon., X., Stefert., T., Jordà., S. and Väljamäe., A., 2014. The role of per- sonalization and multiple EEG and sound features selection in real time sonifcation for neurofeedback. In: Proceedings of the International Conference on Physiological Computing Systems - PhyCS. 7 - 9 January, Lisbon, Portugal. https://doi.org/10.5220/0004727203230330.
Menahem, S. and Love, M., 2013. Forgiveness in psychotherapy: The key to healing. Journal of Clinical Psychology, 69(8), pp.829–835. https://doi.org/10.1002/jclp.22018.
Miller, E.B., 2011. Bio-guided music therapy. London: Jessica Kingsley Publishers.
Miller, E.B., 2012. Discussions regarding auditory feedback in neurofeedback training. [emails] (Personal communication).
Millett, D., 2021. Hans Berger: From psychic energy to the EEG. Perspectives in Biology and Medicine, 44(4), pp.522–542. https://doi.org/10.1353/pbm.2001.0070.
Miranda, E.R., 2014. Brain-computer music interfacing: Interdisciplinary research at the crossroads of music, science and biomedical engineering. In: E.R. Miranda and J. Castet, eds. Guide to Brain-Computer Music Interfacing. Springer London.pp.1–27.
Miranda, E.R. and Boskamp, B., 2005. Steering generative rules with the EEG: An approach to brain- computer music interfacing. In: Proceedings of Sound and Music Computing (SMC 2005). Summer, Salerno, Italy: IEEE.
Miranda, E.R. and Brouse, A., 2005. Interfacing the brain directly with musical systems: On developing systems for making music with brain signals. Leonardo, 38(4), pp.331–336.
Miranda, E.R. and Castet, J. eds., 2014. Guide to brain-computer music interfacing. Springer London. Miranda, E.R., Durrant, S. and Anders, T., 2008. Towards brain-computer music interfaces: Progress and challenges. In: 2008 First International Symposium on Applied Sciences on Biomedical and Communication Technologies. 25-28 October, Aalborg, Denmark: IEEE.
Miranda, E.R. and Eaton, J., 2018. A natural progression. In: The Routledge Research Companion to Electronic Music: Reaching Out with Technology. Routledge, Taylor & Francis.p.222.
Miranda, E.R., Magee, W.L., Wilson, J.J., Eaton, J. and Palaniappan, R., 2011. Brain-computer music interfacing (BCMI): From basic research to the real world of special needs. Music & Medicine, 3(3), pp.134–140. https://doi.org/10.1177/1943862111399290.
Mirifar, A., Keil, A. and Ehrlenspiel, F., 2022. Neurofeedback and neural self-regulation: A new perspective based on allostasis. Reviews in the Neurosciences, Ahead of Print / Just Accepted. https://doi.org/10.1515/revneuro-2021-0133.
Monaghan, P. and Viereck, E.G., 1999. Meditation, the complete guide. New World Library.
Monroe Institute, 1962a. The gateway experience: In-home training series is dedicated to developing, exploring and applying expanded states of awareness. [audio release]. Monroe Products. Available at: https://www.monroeinstitute.org.
Monroe Institute, 1962b. Website of the research institute established by Robert Monroe to research altered states of consciousness with binaural beats. Available at: https://www.monroeinstitute.org. Montague, S., 1985. John Cage at seventy: An interview. American Music, 3(2), p.205. https://doi.org/10.2307/3051637.
Mridha, M.F., Das, S.C., Kabir, M.M., Lima, A.A., Islam, Md.R. and Watanobe, Y., 2021. Brain-computer interface: Advancement and challenges. Sensors, 21(17), p.5746. https://doi.org/10.3390/s21175746.
Mullen, T., Khalil, A., Ward, T., Iversen, J., Leslie, G., Warp, R., Whitman, M., Minces, V., McCoy, A., Ojeda, A. and others, 2015. MindMusic: Playful and social installations at the interface between music and the brain. In: A. Nijholt, ed. More Playful User Interfaces: Interfaces That Invite Social and Physical Interaction. Springer.pp.197–229.
Néda, Z., Ravasz, E., Brechet, Y., Vicsek, T. and Barabási, A.L., 2000. The sound of many hands clapping. Nature, 403(6772), pp.849–850. https://doi.org/10.1038/35002660.
Neher, A., 1962. A physiological explanation of unusual behavior in ceremonies involving drums. Human biology, 34(2), pp.151–160.
Neidich, W. and Anglès, N., n.d. Mise en musique du corticalart de roger lafosse. Available at: https://www.artbrain.org/chaoid-gallery/chapter-3-neuro-modulating-the-neural-material-substrate/pierre- henry-and-roger-lafosse-mise-en-musique-du-corticalart-de-roger-lafosse.
Neuper, C. and Pfurtscheller, G., 2009. Neurofeedback training for BCI control. In: Brain-Computer Interfaces (Part of the Frontiers Collection Book Series). Springer Berlin Heidelberg.pp.65–78. https://doi.org/10.1007/978-3-642-02091-9_4.
NeuroMeditation, 1995. YouTube channel. Available at: https://www.youtube.com/channel/UCNtXlJN5QingnWhGovOgIQ/videos. NeuroMeditation Institute, 2019. What is NeuroMeditation? [video]. Available at: https://youtu.be/5yM k6HialMs.
NeuroSky Developer Program, 2014. eSense(tm) meters. [online documentation]. Available at: http://developer.neurosky.com/docs/doku.php?id=esenses_tm.
NeuroSky Support Site, 2011. What is an eSense? [online documentation]. Available at: http://support.neurosky.com/kb/science/what-is-esense.
NewMind Technologies, 2018. Jef Tarrant - NeuroMeditation part 1 (online video presentation). Available at: https://youtu.be/zaEzpCusdWU.
NewMind Technologies, 2019. Jef Tarrant - NeuroMeditation part 2 (online video presentation). Available at: https://youtu.be/jU78oVzr-Ks.
Niizeki, K., Kawahara, K. and Miyamoto, Y., 1993. Interaction among cardiac, respiratory, and locomotor rhythms during cardiolocomotor synchronization. Journal of Applied Physiology, 75(4), pp.1815–1821. https://doi.org/10.1152/jappl.1993.75.4.1815.
Nijholt, A., 2019. Brain art: Brain-computer interfaces for artistic expression. Springer International Publishing.
Nijholt, A., Luis Contreras-Vidal, J., Jeunet, C. and Väljamäe, A., 2022. Brain-computer interfaces for non-clinical (home, sports, art, entertainment, education, well-being) applications. Frontiers Media SA. https://doi.org/10.3389/978-2-88974-717-7.
Noel, D.C., 1998. Jungian shamanism and the social history of a sacred heritage. The San Francisco Jung Institute Library Journal, 16(4), pp.27–39. https://doi.org/10.1525/jung.1.1998.16.4.27.
Noll, R., 1983. Shamanism and schizophrenia: A state-specifc approach to the “schizophrenia metaphor” of shamanic states. American Ethnologist, 10(3), pp.443–459. https://doi.org/10.1525/ae.1983.10.3.02a00030.
Nord, C., 2013. Functionalism in translation studies. In: The Routledge Handbook of Translation Studies. Routledge.pp.219–230.
Novello, A., 2012. From invisible to visible, the EEG as a tool for music creation and control. Master’s thesis. Institute of Sonology, Netherlands.
O’Keefe, D.J., 2015. Persuasion: Theory and research. Sage Publications.
Olofsson, F., 2010. Bjorklund: SuperSollider class after a technique described by Godfried Toussaint in his paper ‘the euclidean algorithm generates traditional musical rhythms’. [software]. Available at: https://fredrikolofsson.com/f0blog/bjorklund.
Olofsson, F. and Hofstädter, K., 2019. OpenBCI-SuperCollider Interface: A SuperCollider software for EEG acquisition, noise reduction, feature extraction and classifcation with OpenBCI boards. [software]. Available at: https://github.com/krisztian-hofstadter-tedor/OpenBCI-SuperCollider.
Oostra, W., 2012. A study for improved concentration by acoustic drum rhythms music medicine therapy. Available at: https://www.stronginstitute.com/resources/a-study-for- improved-concentration-by-acoustic-drum-rhythms-music-medicine-therapy.
OpenBCI, 2013. Website of OpenBCI, the open-source brain-computer interface platform. Available at: https://openbci.com/.
OpenBCI, 2015. 32 bit Cyton biosensing board. [hardware]. Available at: https://shop.openbci.com/collections/frontpage/products/cyton-biosensing-board-8-channel.
OpenBCI, 2017a. OpenBCI_GUI: OpenBCI’s software tool for visualizing, recording, and streaming data from the OpenBCI boards. [software]. Available at: https://github.com/OpenBCI/OpenBCI_GUI.
OpenBCI, 2017. Software development kits (SDKs) including C++, Python, C#, Java, R, MATLAB, Julia and Rust tools/prototypes/frameworks. [software]. Available at: https://docs.openbci.com/ForDevelopers/SoftwareDevelopment.
OpenBCI, 2017b. Ultracortex IV: The Ultracortex is an open-source, 3D-printable headset intended to work with the OpenBCI system. [Sketch fles and documentation]. Available at: https://github.com/OpenBCI/Ultracortex/tree/master/Mark_IV.
OpenBCI, 2020. Pulse sensor with OpenBCI. Available at: https://shop.openbci.com/products/pulse-sensor.
OpenBCI, 2022. Citation list: List of research papers and articles that have used OpenBCI hardware and software for their research. Available at: https://docs.openbci.com/citations.
OpenBCI Archive, 2019. Archived shop page of Wi-f shield. [hardware]. Available at: https://web.archive.org/web/20190403035430/https://shop.openbci.com/products/wif-shield.
OpenBCI Forum, 2019. Is continuous monitoring of impedance possible while recording EEG? [forum post]. Available at: https://openbci.com/forum/index.php? p=/discussion/2207/is-continuous-monitoring-of-impedance-possible-while-recording-eeg.
Ortiz, M., 2012. A brief history of biosignal-driven art: From biofeedback to biophysical performance. eContact! Biotechnological Performance Practice/Pratiques de performance biotechnologique, 14(2).
Panisch, L.S. and Hai, A.H., 2018. The efectiveness of using neurofeedback in the treatment of post- traumatic stress disorder: A systematic review. Trauma, Violence and Abuse, 21(3), pp.541–550. https://doi.org/10.1177/1524838018781103.
Papachristodoulou, P., Betella, A. and Verschure, P., 2014. Sonifcation of large datasets in a 3D immersive environment: A neuroscience case study. In: Achi2014: The Seventh International Conference on Advances in Computer-Human Interactions. 23-27 March, Barcelona, Spain.
Parsons, L., 1996. What components of music enhance spatial abilities. In: VIth International MusicMedicine Symposium. San Antonio, TX.
Patel, K., Sutherland, H., Henshaw, J., Taylor, J.R., Brown, C.A., Casson, A.J., Trujillo-Barreton, N.J., Jones, A.K.P. and Sivan, M., 2020. Efects of neurofeedback in the management of chronic pain: A systematic review and meta-analysis of clinical trials. European Journal of Pain, 24(8), pp.1440–1457. https://doi.org/10.1002/ejp.1612.
Perret, D., 2005. Roots of musicality: Music therapy and personal development. Jessica Kingsley Publishers.
Pikovsky, A., Rosenblum, M., Kurths, J. and others, 2001. Synchronization - a universal concept in nonlinear sciences. Cambridge University Press, Cambridge.
Pilch, J.J., 2006. Music and trance. In: D.A. & J. Fachner, ed. Music and Altered States - Consciousness, Transcendence, Therapy and Addictions. Jessica Kingsley Publishers.pp.82–96.
Polansky, L. and Rosenboom, D., 1983. Interview with David Rosenboom. Computer Music Journal, 7(4), pp.40–44.
Potard, G. and Schiemer, G., 2004. Listening to the mind listening: Sonifcation of the coherence matrix and power spectrum of EEG signals. In: Proceedings of the International Conference on Auditory Display (ICAD). 6-9 July, Sydney, Australia.
Puetate, T., 2022. Investigation into a brain-computer interface system for music with speech imagery. Master’s thesis. University of Plymouth.
Python, 1986. Python programming language. Available at: https://www.python.org.
Ramadan, R.A. and Vasilakos, A.V., 2016. Brain computer interface: Control signals review. Neurocomputing, 223, pp.26–44. https://doi.org/10.1016/j.neucom.2016.10.024.
Ramirez, R., Palencia-Lefer, M., Giraldo, S. and Vamvakousis, Z., 2015. Musical neurofeedback for treating depression in elderly people. Frontiers in Neuroscience, 9. https://doi.org/10.3389/fnins.2015.00354.
Ratti, E., Waninger, S., Berka, C., Rufni, G. and Verma, A., 2017. Comparison of medical and consumer wireless EEG systems for use in clinical trials. Frontiers in Human Neuroscience, 11. https://doi.org/10.3389/fnhum.2017.00398.
Rebel Wisdom, 2022. Psychedelic capitalism and the sacred. A video documentary in which Alexander Beiner interviews leaders in the feld including Robin Carhart-Harris; Dennis McKenna. Available at: https://youtu.be/rf7S0PcfsA4.
Ritterfeld, U., Cody, M. and Vorderer, P., 2009. Serious games: Mechanisms and efects. Routledge. Rock, Adam.J. and Krippner, S., 2011. Demystifying shamans and their world. A multidisciplinary study. Exeter: Imprint Academic. Ros, T., Enriquez-Geppert, S., Zotev, V., Young, K.D., Wood, G., Whitfeld-Gabrieli, S., Wan, F., Vuilleumier, P., Vialatte, F., Ville, D.V.D., Todder, D., Surmeli, T., Sulzer, J.S., Strehl, U., Sterman, M.B., Steiner, N.J., Sorger, B., Soekadar, S.R., Sitaram, R., Sherlin, L.H., Schönenberg, M., Scharnowski, F., Schabus, M., Rubia, K., Rosa, A., Reiner, M., Pineda, J.A., Paret, C., Ossadtchi, A., Nicholson, A.A., Nan, W., Minguez, J., Micoulaud-Franchi, J.-A., Mehler, D.M.A., Lührs, M., Lubar, J., Lotte, F., Linden, D.E.J., Lewis-Peacock, J.A., Lebedev, M.A., Lanius, R.A., Kübler, A., Kranczioch, C., Koush, Y., Konicar, L., Kohl, S.H., Kober, S.E., Klados, M.A., Jeunet, C., Janssen, T.W.P., Huster, R.J., Hoedlmoser, K., Hirshberg, L.M., Heunis, S., Hendler, T., Hampson, M., Guggisberg, A.G., Guggenberger, R., Gruzelier, J.H., Göbel, R.W., Gninenko, N., Gharabaghi, A., Frewen, P., Fovet, T., Fernández, T., Escolano, C., Ehlis, A.-C., Drechsler, R., deCharms, R.C., Debener, S., Ridder, D.D., Davelaar, E.J., Congedo, M., Cavazza, M., Breteler, M.H.M., Brandeis, D., Bodurka, J., Birbaumer, N., Bazanova, O.M., Barth, B., Bamidis, P.D., Auer, T., Arns, M. and Thibault, R.T., 2020. Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist). Brain, 143(6), pp.1674–1685. https://doi.org/10.1093/brain/awaa009.
Ros, T., Kwiek, J., Andriot, T., Michela, A., Vuilleumier, P., Garibotto, V. and Ginovart, N., 2021. PET imaging of dopamine neurotransmission during EEG neurofeedback. Frontiers in Physiology, 11. https://doi.org/10.3389/fphys.2020.590503.
Rosenboom, D., 1972. Method for producing sounds or light fashes with alpha brain waves for artistic purposes. Leonardo, pp.141–145.
Rosenboom, D. ed., 1976. Biofeedback and the arts: Results of early experiments. A.R.C. Publications. Aesthetic Research Centre of Canada.
Rosenboom, D., 1990. The performing brain. Computer Music Journal, 14(1), pp.48–66.
Rosenboom, D., 1997. Extended musical interface with the human nervous system, assessment. Prospectus (1997 revision). Leonardo Monograph 1.
Rosenboom, D., 2019. Brainwave music. [music release originally published in 1975]. Black Trufe Records. Available at: https://blacktrufe.bandcamp.com/album/brainwave-music.
Rosenboom, D., 2022. Personal website. Available at: https://davidrosenboom.squarespace.com/compositions.
Rosenboom, D. and Young, E., 2015. The experiment: Brainwave music for four performers. Available at: https://davidrosenboom.com/compositions.
Rubia, K., 2009. The neurobiology of meditation and its clinical efectiveness in psychiatric disorders. Biological Psychology, 82(1), pp.1–11. https://doi.org/10.1016/j.biopsycho.2009.04.003.
Ryan, D., 2019. Aphorisms. [multimodal performance] Available at: https://bcmi.khofstadter.com/aphorisms.
Sawangjai, P., Hompoonsup, S., Leelaarporn, P., Kongwudhikunakorn, S. and Wilaiprasitporn, T., 2020. Consumer grade EEG measuring sensors as research tools: A review. IEEE Sensors Journal, 20(8), pp.3996–4024. https://doi.org/10.1109/jsen.2019.2962874.
Scaletti, C., 2018. Sonifcation does not equal music. In: Dean Roger T. and A. McLean, eds. The Oxford Handbook of Algorithmic Music. Oxford Academic. https://doi.org/https://doi.org/10.1093/oxfordhb /9780190226992.001.0001.
Scartelli, J., 1987. Subcortical mechanisms in rhythmic processing. In: Meeting of the National Association for Music Therapy. San Francisco, CA.
Scartelli, J., 1992. Music therapy and psychoneuroimmunology. MusicMedicine, pp.137–141.
Schmele, T. and Gómez, I., 2014. Three-dimensional sonifcation of fMRI brain data in the musical composition neurospaces. Proceedings CIM14. https://doi.org/10.13140/2.1.2219.1688.
Schmidt, J.F., 2016. Niklas Luhmann’s card index: Thinking tool, communication partner, publication machine. In: Forgetting Machines: Knowledge Management Evolution in Early Modern Europe. Brill.pp.287–311.
Schoon, A. and Dombois, F., 2009. Sonifcation in music. In: Proceedings of the International Conference on Auditory Display (ICAD). 18-22 May, Copenhagen, Denmark.
Shabani, F., Nisar, S., Philamore, H. and Matsuno, F., 2021. Haptic vs. Visual neurofeedback for brain training: A proof-of-concept study. IEEE Transactions on Haptics, 14(2), pp.297–302. https://doi.org/10.1109/toh.2021.3077492.
Shapiro, S., Siegel, R. and Nef, K.D., 2018. Paradoxes of mindfulness. Mindfulness, 9(6), pp.1693–1701. https://doi.org/10.1007/s12671-018-0957-5.
Shatin, W.L.;.D.-L., L.; Kotter, 1961. Music therapy for schizophrenics. Journal of Rehabilitation, 27, pp.30–31.
Sherry, J.L., Greenberg, B.S., Lucas, K. and Lachlan, K., 2012. Video game uses and gratifcations as predictors of use and game preference. In: Playing Video Games. Routledge.pp.248–262.
Sloboda, J.A., 1985. The musical mind: The cognitive psychology of music. Oxford University Press. Stefert, T., 2018. Real-time electroencephalogram sonifcation for neurofeedback. PhD thesis. The Open University.
Stefert, T., 2022. Discussions regarding auditory feedback in neurofeedback training. [emails] (Personal communication).
Steingrimsson, S., Bilonic, G., Ekelund, A.-C., Larson, T., Stadig, I., Svensson, M., Vukovic, I.S., Wartenberg, C., Wrede, O. and Bernhardsson, S., 2020. Electroencephalography-based neurofeedback as treatment for post-traumatic stress disorder: A systematic review and meta-analysis. European Psychiatry, 63(1). https://doi.org/10.1192/j.eurpsy.2019.7.
Stikic, M., Johnson, R.R., Tan, V. and Berka, C., 2014. EEG-based classifcation of positive and negative af- fective states. Brain-Computer Interfaces, 1(2), pp.99–112. https://doi.org/10.1080/2326263x.2014.912883.
Storedalen, T., 2013. Ancient Hebrew meditative recitation. In: H. Eifring, ed. Meditation in Judaism, Christianity and Islam. Bloomsbury.pp.17–33.
Strong Institute, 1994. Rhythmic Entrainment Intervention (REI): Custom training program. Available at: https://www.stronginstitute.com/rei-custom-program.
Strong Institute, 2012. Brain Shift Radio: Personalised streaming auditory brain stimulation. Available at: https://www.stronginstitute.com/brain-shift-radio.
Strong, J., 1996a. Rhythmic Entrainment Intervention as it applies to children with autism. In: 6th International Society for Music in Medicine Symposium. San Antonio.
Strong, J., 1996b. Rhythmic Entrainment Intervention (REI) drumming rhythms reduce anxiety and improve language, eye contact and socialization in a child with autism. [Online article]. Available at: https://www.stronginstitute.com/resources/rei-for-autism-and-anxiety.
Strong, J., 1998. Rhythmic Entrainment Intervention: A theoretical perspective. Open Ear Journal, 2. Available at: https://www.stronginstitute.com/resources/rhythmic-entrainment-intervention-a- theoretical-perspective.
Strong, J., 2010. A look at rhythmic entrainment intervention by its creator. In: K. Morris, ed. Insights into Sensory Issues for Professionals: Answers to Sensory Challenges. Arlington, US: Future Horizons Incorporated.
Strong, J., 2012a. Quantitative data shows that listening to complex drumming can increase attention. [Online article]. Available at: https://www.stronginstitute.com/resources/quantitative-data- shows- that-listening-to-complex-drumming-can-increase-attention.
Strong, J., 2012b. Rhythmic Entrainment Intervention (REI) rhythms beat Ritalin for adult with attention defcit disorder. Available at: https://www.stronginstitute.com/resources/rei-rhythms-beat-ritalin-for- adult-with- attention-defcit-disorder.
Strong, J., 2016. Theta consciousness and drumming tempos: Documentation in Jef Strong’s online drum healing course (available on request).
Strong, J., 2018a. Jef Strong compares brainwave entrainment techniques: Drumming vs binaural beats. [video]. Available at: https://www.youtube.com/watch?v=tkvomej7R0Q.
Strong, J., 2018b. Jef Strong introduces you to a brain computer interface (BCI) for brain shift radio. [video]. Available at: https://youtu.be/bUEEkAf_56Y.
SuperCollider Forum, 2019. How to calculate phase synchrony? [online forum post]. Available at: https://scsynth.org/t/how-to-calculate-phase-synchrony/1430.
Sutton, S.K. and Davidson, R.J., 1997. Prefrontal brain asymmetry: A biological substrate of the behavioral approach and inhibition systems. Psychological Science, 8(3), pp.204–210. https://doi.org/10.1111/j.1467-9280.1997.tb00413.x.
Swingle, M.K., 2021. Neurofeedback, where are we and where are we going? Three critical is- sues for consideration: Perspective from 25 years of practice. Biofeedback, 49(3), pp.59–70. https://doi.org/10.5298/1081-5937-49.3.04.
Takabatake, K., Kunii, N., Nakatomi, H., Shimada, S., Yanai, K., Takasago, M. and Saito, N., 2021. Musical auditory alpha wave neurofeedback: Validation and cognitive perspectives. Applied Psy- chophysiology and Biofeedback, 46(4), pp.323–334. https://doi.org/10.1007 s10484-021-09507-1.
Tarrant, J., 2017. Meditation interventions to rewire the brain: Integrating neuroscience strategies for ADHD, anxiety, depression & PTSD. PESI Publishing & Media.
Tarrant, J., 2020. Neuromeditation: The science and practice of combining neurofeedback and meditation for improved mental health. In: Smart Biofeedback - Perspectives and Applications. IntechOpen. https://doi.org/10.5772/intechopen.93781.
Teitelbaum, R., 1976. In tune: Some early experiments in biofeedback music (1966-1974). In: D. Rosenboom, ed. Vancouver: Aesthetic Research Center of Canada Publications.
Teitelbaum, R., 2014. Improvisation, computers and the unconscious mind. Contemporary Music Review, 25(5-6), pp.497–508. https://doi.org/10.1080/07494460600990026.
Telestream, 2017. Screenfow: screencasting and video editing software for the macOS. [software]. Available at: https://www.telestream.net/screenflow/overview.htm.
Thatcher, R.W. and Lubar, J.F., 2014. Z score neurofeedback: Clinical applications. Academic Press. Tofa, O.K. and Mignotte, M., 2020. A hierarchical visual feature-based approach for image sonifcation. IEEE Transactions on Multimedia, 23, pp.706–715.
Toussaint, G., 2005. The euclidean algorithm generates traditional musical rhythms. In: Renaissance Banf: Mathematics, Music, Art, Culture. pp.47–56.
Trambaiolli, L.R., Kohl, S.H., Linden, D.E.J. and Mehler, D.M.A., 2021. Neurofeedback training in major depressive disorder: A systematic review of clinical efcacy, study quality and reporting practices. Neuroscience & Biobehavioral Reviews, 125, pp.33–56. https://doi.org/10.1016/j.neubiorev.2021.02.015.
Trček, D., 2018. Cruxes for visual domain sonifcation in digital arts. Digital Creativity, 32(4), pp.293–306. https://doi.org/10.1080/14626268.2021.2002913.
Trost, W.J., Labbé, C. and Grandjean, D., 2017. Rhythmic entrainment as a musical afect induction mechanism. Neuropsychologia, 96, pp.96–110. https://doi.org/10.1016/j.neuropsychologia.2017.01.004. Trost, W. and Vuilleumier, P., 2013. Rhythmic entrainment as a mechanism for emotion in- duction by music. In: The Emotional Power of Music. Oxford University Press.pp.213–225. https://doi.org/10.1093/acprof:oso/9780199654888.003.0016.
Turow, G., 2005. Auditory driving as a ritual technology: A review and analysis. Master’s thesis. Religious Studies Honours Thesis, Stanford University.
University of Cambridge, 2019. Website of Cambridge the Festival of Ideas, a puplic engagment event series. Available at: https://www.philanthropy.cam.ac.uk/give-to-cambridge/festival-of-ideas. University of Zürich, 2001. sLORETA: Standard low-resolution brain electromagnetic tomography [software]. Available at: http://www.uzh.ch/keyinst.
Uysal, A. and Yildirim, I.G., 2016. Self-determination theory in digital games. In: Gamer Psychology and Behavior. Springer International Publishing.pp.123–135. https://doi.org/10.1007/978-3-319-29904- 4_8.
Vaitl, D., Birbaumer, N., Gruzelier, J., Jamieson, G.A., Kotchoubey, B., Kübler, A., Lehmann, D., Miltner, W.H.R., Ott, U., Pütz, P., Sammer, G., Strauch, I., Strehl, U., Wackermann, J. and Weiss, T., 2005. Psychobiology of altered states of consciousness. Psychological Bulletin, 131(1), pp.98–127. https://doi.org/10.1037/0033-2909.131.1.98.
Väljamäe, A., Stefert, T., Holland, S., Marimon, X., Benitez, R., Mealla, S., Oliveira, A. and Jordà, S., 2013. A review of real-time EEG sonifcation research. In: Proceedings of the International Conference on Auditory Display (ICAD). July 6-10, 2013, Lodz, Poland.
Vasiljevic, G.A.M. and Miranda, L.C. de, 2019. Brain–computer interface games based on consumer-grade EEG devices: A systematic literature review. International Journal of Human–Computer Interaction, 36(2), pp.105–142. https://doi.org/10.1080/10447318.2019.1612213.
Venkatesh, S., Braund, E. and Miranda, E., 2020. Designing brain-computer interfaces for sonic expression. In: Proceedings of the International Conference on New Interfaces for Musical Expression (NIME). 21 July 2020, Birmingham City University.
Vickers, P., 2016. Sonifcation and music, music and sonifcation. In: The Routledge Companion to Sounding Art. Taylor & Francis.pp.135–144.
Vickers, P. and Alty, J.L., 2002. Using music to communicate computing information. Interacting with Computers, 14(5), pp.435–456. https://doi.org/10.1016/s0953-5438(02)00003-6.
Wadeson, A., Nijholt, A. and Nam, C.S., 2015. Artistic brain-computer interfaces: State-of-the-art control mechanisms. Brain-Computer Interfaces, 2(2-3), pp.70–75. https://doi.org/10.1080/2326263x.2015.1103155.
Walsh, R., 1995. Phenomenological mapping: A method for describing and comparing states of conscious- ness. Journal of Transpersonal Psychology, 27, pp.25–25.
Walsh, R., 2001. Shamanic experiences: A developmental analysis. Journal of Humanistic Psychology, 41(3), pp.31–52. https://doi.org/10.1177/0022167801413004.
Washburn, M., 1978. Observations relevant to a unifed theory of meditation. Journal of Transpersonal Psychology, 10(1), pp.45–65.
Wilcken, F., Lois Augustin, 1992. Drums of Vodou. White Clifs Media Co. (New York).
Will, U., 2017. Cultural factors in responses to rhythmic stimuli. In: Rhythmic Stimulation Procedures in Neuromodulation. Elsevier.pp.279–306. https://doi.org/10.1016/b978-0-12-803726-3.00009-2.
Will, U. and Turow, G., 2012. Introduction to entrainment and cognitive ethnomusicology. In: U. Will and G. Turow, eds. Music, Science, and the Rhythmic Brain. Routledge.pp.14–41.
Williams, D., 2019. Evaluating BCI for musical expression: Historical approaches, challenges and benefts. In: A. Nijholt, ed. Brain Art: Brain-Computer Interfaces for Artistic Expression. Springer International Publishing.pp.145–158. https://doi.org/10.1007/978-3-030-14323-7_5.
Williams, D., Kirke, A., Miranda, E., Daly, I., Hallowell, J., Weaver, J., Malik, A., Roesch, E., Hwang, F. and Nasuto, S., 2015. Investigating perceived emotional correlates of rhythmic den- sity in algorithmic music composition. ACM Transactions on Applied Perception, 12(3), pp.1–21. https://doi.org/10.1145/2749466.
Williams, D., Kirke, A., Miranda, E., Daly, I., Hwang, F., Weaver, J. and Nasuto, S., 2017. Afective calibration of musical feature sets in an emotionally intelligent music composition system. ACM Transactions on Applied Perception, 14(3), pp.1–13. https://doi.org/10.1145/3059005.
Williams, D., Kirke, A., Miranda, E.R., Roesch, E., Daly, I. and Nasuto, S., 2014. Investi- gating afect in algorithmic composition systems. Psychology of Music, 43(6), pp.831–854. https://doi.org/10.1177/0305735614543282.
Williams, D. and Miranda, E.R., 2018. BCI for music making: Then, now, and next. In: Brain–Computer Interfaces Handbook: Technological and Theoretical Advances. CRC Press.
Wright, P.A., 1989. The nature of the shamanic state of consciousness: A review. Journal of Psychoactive Drugs, 21(1), pp.25–33. https://doi.org/10.1080/02791072.1989.10472140.
Wu, J.-H., Wang, S.-C. and Tsai, H.-H., 2010. Falling in love with online games: The uses and gratifcations perspective. Computers in Human Behavior, 26(6), pp.1862–1871. https://doi.org/10.1016/j.chb.2010.07.033.
Zhang, B., Wang, J. and Fuhlbrigge, T., 2010. A review of the commercial brain-computer interface technology from perspective of industrial robotics. In: 2010 IEEE International Conference on Automation and Logistics. IEEE. https://doi.org/10.1109/ical.2010.5585311.
Zinberg, N., 1984. Drug, set, and setting: The basis for controlled intoxicant use. New Haven. London: Yale University Press.