Skip to main content
SpringerLink
Log in

Using Synchrony-Based Neurofeedback in Search of Human Connectedness

  • Chapter
  • First Online:
Book cover Brain Art

Abstract

In this chapter, we explore whether brain-computer interface (BCI) applications can embody the elusiveness of human connectedness. Concretely, we discuss a series of art/neuroscience works that track and visualize the extent to which brainwaves and physiological responses become synchronized between people and their environment. From a neuroscientific point of view, we ask whether such synchrony is ‘meaningful’, i.e., do these data streams (brainwaves, heart rate, movement) tell us something about how connected we feel to each other (“when we feel in sync with someone, are our brainwaves literally on the same wavelength?”). From an artistic, experiential point of view, we ask whether these works can raise critical questions about our often unsatisfactory quest to connect to ourselves and each other: via face-to-face interactions, scientific inquiry, tech-based communication tools, big data; about the exclusionary nature of groups, both in the real and virtual world. Finally, do the works stands on their own—independent of such research questions—as immersive, interactive aesthetic experiences, allowing visitors to gauge and explore their own interactions in a visceral, intuitive way?

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Pre-choreographic Elements refer to the pre-phase of choreography, where the movement material is being created, shaped and tested. They are not yet part of the selection and ordering process of choreography The pre-choreographic elements are the roots of choreographic statements and constitute the conditions from which the choreographic elements can emerge. A selection of 20 pre-choreographic elements has been identified through dance notation research and is currently being investigated with regard to their generative potential in movement language creation.

References

  • Abramović (2010) Marina Abramović: the artist speaks. Inside/Out. A MoMA/MoMA PS1 blog. https://www.moma.org/explore/inside_out/2010/06/03/marina-abramovic-the-artist-speaks/

  • Akbas A (2011) Evaluation of the physiological data indicating the dynamic stress level of drivers. Sci Res Essays 6(2):430–439

    Google Scholar 

  • Anderson KL, Ding M (2011) Attentional modulation of the somatosensory mu rhythm. Neuro 180:165–180

    Google Scholar 

  • Arnal LH, Giraud AL (2012) Cortical oscillations and sensory predictions. Trends Cogn Sci 16:390–398

    Article  Google Scholar 

  • Aron A, Aron EN, Smollan D (1992) Inclusion of other in the self scale and the structure of interpersonal closeness. J Person Soc Psych 63(4):596

    Article  Google Scholar 

  • Assaneo MF, Ripolles P, Orpella J, Ming-Lin, W, de Diego-Balaguer R, Poeppel D (2019) Spontaneous synchronization to speech reveals neural mechanisms facilitating language learning. Nat Neurosci

    Google Scholar 

  • Atmaca S, Sebanz N, Knoblich G (2011) The joint flanker effect: sharing tasks with real and imagined co-actors. Exp Brain Res 211(3–4):371–385

    Article  Google Scholar 

  • Atmanspacher H, Fuchs CA (2014) The Pauli-Jung conjecture and its impact today. Andrews UK Limited

    Google Scholar 

  • Babiloni F, Astolfi L (2014) Social neuroscience and hyperscanning techniques: past, present and future. Neurosci Biobehav Rev 4:476–493

    Google Scholar 

  • Babiloni F, Cincotti F, Mattia D, Mattiocco M, Fallani FD, Tocci A, Bianchi L, Marciani MG, Astolfi L (2006) Hypermethods for EEG hyperscanning. In: Engineering in Medicine and Biology Society 28th annual international conference of the IEEE 30 Aug 2006, pp 3666–3669

    Google Scholar 

  • Babiloni F, Astolfi L, Cincotti F, Mattia D, Tocci A, Tarantino A, Marciani MG, Salinari S, Gao S, Colosimo A, Fallani FD (2007) Cortical activity and connectivity of human brain during the prisoner’s dilemma: an EEG hyperscanning study. In: Engineering in Medicine and Biology Society, EMBS 29th annual international conference of the IEEE, 22 Aug 2007 pp 4953–4956

    Google Scholar 

  • Bachrach A, Fontbonne Y, Joufflineau C, Ulloa JL (2015) Audience entrainment during live contemporary dance performance: physiological and cognitive measures. Front Hum Neurosci 9:179

    Article  Google Scholar 

  • Baek HJ, Lee HB, Kim JS, Choi JM, Kim KK, Park KS (2009) Nonintrusive biological signal monitoring in a car to evaluate a driver’s stress and health state. Telemed e-Health 15(2):182–189

    Article  Google Scholar 

  • Bar M (2007) The proactive brain: using analogies and associations to generate predictions. Trends Cogn Sci 11:280–289

    Article  Google Scholar 

  • Bašnáková J, Weber K, Petersson KM, van Berkum J, Hagoort P (2013) Beyond the language given: the neural correlates of inferring speaker meaning. Cereb Cortex 24(10):2572–2578

    Article  Google Scholar 

  • Bastiaansen M, Hagoort P (2006) Oscillatory neuronal dynamics during language comprehension. Prog Brain Res 159:179–196

    Article  Google Scholar 

  • Beauchene C, Abaid N, Moran R, Diana RA, Leonessa A (2017) The effect of binaural beats on verbal working memory and cortical connectivity. J Neural Eng 14(2):026014

    Article  Google Scholar 

  • Benford S, Greenhalgh C, Crabtree A, Flintham M, Walker B, Marshall J, Koleva B, Rennick Egglestone S, Giannachi G, Adams M, Tandavanitj N (2013) Performance-led research in the wild. ACM TOCHI 20(3):14

    Article  Google Scholar 

  • Bevilacqua D, Davidesco I, Wan L, Oostrik M, Chaloner K, Rowland J, Ding M, Poeppel D, Dikker S (2018) Brain-to-brain synchrony and learning outcomes vary by student–teacher dynamics: evidence from a real-world classroom electroencephalography study. J Cogn Neurosci 1–11

    Google Scholar 

  • Bhattacharya J (2017) Cognitive neuroscience: synchronizing brains in the classroom. Curr Biol 27(9):R346–R348

    Article  Google Scholar 

  • Böckler A, Knoblich G, Sebanz N (2012) Effects of a coactor’s focus of attention on task performance. J Exp Psychol: Hum Percept Perform 38(6):1404

    Google Scholar 

  • Brenninkmeijer J (2013) Neurofeedback as a dance of agency. BioSocieties 8(2):144–163

    Article  Google Scholar 

  • Buzsáki G (2006) Rhythms of the brain. Oxford University Press, New York, NY, US

    Book  MATH  Google Scholar 

  • Cacioppo JT, Bernston GG, Larsen JT, Poehlmann KM, Ito TA (2000) The psychophysiology of emotion. In: Handbook of emotions. The psychophysiology of emotion. Guilford, pp 173–191

    Google Scholar 

  • Cai H, Lin Y (2011) Modeling of operators’ emotion and task performance in a virtual driving environment. Int J Hum Comput Stud 69:571–586

    Google Scholar 

  • Canolty RT, Edwards E, Dalal SS, Soltani M, Nagarajan SS, Kirsch HE, Berger MS, Barbaro NM, Knight RT (2006) High gamma power is phase-locked to theta oscillations in human neocortex. Science 313(5793):1626–1628

    Article  Google Scholar 

  • Collet C, Clarion A, Morel M, Chapon A, Petit C (2009) Physiological and behavioural changes associated to the management of secondary tasks while driving. Appl Ergon (England) 40:1041–1046

    Article  Google Scholar 

  • Davis M (1996) Interpersonal reactivity index. In: Empathy: a social psychological approach, pp 55–56

    Google Scholar 

  • de Graaf TA, Gross J, Paterson G, Rusch T, Sack AT, Thut G (2013) Alpha-band rhythms in visual task performance: phase-locking by rhythmic sensory stimulation. PLoS ONE 8(3):e60035

    Article  Google Scholar 

  • Debener S, Minow F, Emkes R, Gandras K, De Vos M (2012) How about taking a low-cost, small, and wireless EEG for a walk? Psychophysiology 49(11):1617–1621

    Article  Google Scholar 

  • Desimone R, Duncan J (1995) Neural mechanisms of selective visual attention. Annu Rev Neurosci 18(1):193–222

    Article  Google Scholar 

  • Dikker S, Pylkkänen L (2013) Predicting language: MEG evidence for lexical preactivation. Brain Lang 127(1):55–64

    Article  Google Scholar 

  • Dikker S, Rabagliati H, Pylkkänen L (2009) Sensitivity to syntax in visual cortex. Cognition 110(3):293–321

    Article  Google Scholar 

  • Dikker S, Rabagliati H, Farmer TA, Pylkkänen L (2010) Early occipital sensitivity to syntactic category is based on form typicality. Psychol Sci 21(5):629–634

    Article  Google Scholar 

  • Dikker S, Silbert LJ, Hasson U, Zevin JD (2014) On the same wavelength: predictable language enhances speaker–listener brain-to-brain synchrony in posterior superior temporal gyrus. J Neurosci 34(18):6267–6272

    Article  Google Scholar 

  • Dikker S, Wan L, Davidesco I, Kaggen L, Oostrik M, McClintock J, Rowland J, Michalareas G, Van Bavel JJ, Ding M, Poeppel D (2017) Brain-to-brain synchrony tracks real-world dynamic group interactions in the classroom. Curr Biol 27(9):1375–1380

    Article  Google Scholar 

  • Dikker S, Michalareas G, Oostrik M, Kahraman H, Serafimaki A, Struiksma ME, Poeppel D (in revision) Crowdsourcing neuroscience: brain synchrony during face-to-face interaction outside the laboratory

    Google Scholar 

  • Doelling KB, Poeppel D (2015) Cortical entrainment to music and its modulation by expertise. Proc Natl Acad Sci USA 112(45):E6233–E6242

    Article  Google Scholar 

  • Donoghue JP, Sanes JN, Hatsopoulos NG, Gaal G (1998) Neural discharge and local field potential oscillations in primate motor cortex during voluntary movements. J Neurophysiol 79:159–173

    Article  Google Scholar 

  • Dumas G, Nadel J, Soussignan R, Martinerie J, Garnero L (2010) Inter-brain synchronization during social interaction. PLoS ONE 5(8):e12166

    Article  Google Scholar 

  • Eldred SM (2016) Art–science collaborations: change of perspective. Nature 537(7618):125–126

    Article  Google Scholar 

  • Enns JT, Lleras A (2008) What’s next? New evidence for prediction in human vision. Trends Cogn Sci 12:327–333

    Article  Google Scholar 

  • Federmeier KD (2007) Thinking ahead: the role and roots of prediction in language comprehension. Psychophysiology 44:491–505

    Article  Google Scholar 

  • Fox NA, Bakermans-Kranenburg MJ, Yoo KH, Bowman LC, Cannon EN, Vanderwert RE, Ferrari PF, van IJzendoorn MH (2016) Assessing human mirror activity with EEG mu rhythm: a meta-analysis. Psychol Bull 142(3):291–313

    Google Scholar 

  • Friston K (2003) Learning and inference in the brain. Neural Netw 16:1325–1352

    Article  Google Scholar 

  • Gandomi A, Haider M (2015) Beyond the hype: Big data concepts, methods, and analytics. Int J Inf Manag 35(2):137–144

    Article  Google Scholar 

  • Garrod S, Pickering MJ (2009) Joint action, interactive alignment, and dialog. Trends Cogn Sci 1(2):292–304

    Google Scholar 

  • Goede MNM (2017) Narrating the brain through neurofeedback art. Master’s thesis, University of Amsterdam, Amsterdam, the Netherlands. http://www.scriptiesonline.uba.uva.nl/en/scriptie/624073

  • Goldstein P, Weissman-Fogel I, Dumas G, Shamay-Tsoory SG (2018) Brain-to-brain coupling during handholding is associated with pain reduction. Proc Natl Acad Sci USA 201703643

    Google Scholar 

  • Golumbic EMZ, Ding N, Bickel S, Lakatos P, Schevon CA, McKhann GM, Goodman RR, Emerson R, Mehta AD, Simon JZ, Poeppel D, Schroeder CE (2013) Mechanisms underlying selective neuronal tracking of attended speech at a “cocktail party”. Neuron 77(5):980–991

    Article  Google Scholar 

  • Gomez-Ramirez M, Kelly SP, Molholm S, Sehatpour P, Schwartz TH, Foxe JJ (2011) Oscillatory sensory selection mechanisms during intersensory attention to rhythmic auditory and visual inputs: a human electrocorticographic investigation. J Neurosci 31(50):18556–18567

    Article  Google Scholar 

  • Gruber T, Tsivilis D, Giabbiconi CM, Müller MM (2008) Induced electroencephalogram oscillations during source memory: familiarity is reflected in the gamma band, recollection in the theta band. J Cogn Neurosci 20(6):1043–1053

    Article  Google Scholar 

  • Haegens S, Golumbic EZ (2017) Rhythmic facilitation of sensory processing: a critical review. Neuro Biobehav Rev

    Google Scholar 

  • Hari R, Kujala MV (2009) Brain basis of human social interaction: from concepts to brain imaging. Physiol Rev 89(2):453–479

    Article  Google Scholar 

  • Hari R, Himberg T, Nummenmaa L, Hämäläinen M, Parkkonen L (2013) Synchrony of brains and bodies during implicit interpersonal interaction. Trends Cogn Sci

    Google Scholar 

  • Hasson U, Frith CD (2016) Mirroring and beyond: coupled dynamics as a generalized framework for modelling social interactions. Philos Trans R Soc B 371(1693):20150366

    Article  Google Scholar 

  • Hasson U, Ghazanfar AA, Galantucci B, Garrod S, Keysers C (2012) Brain-to-brain coupling: a mechanism for creating and sharing a social world. Trends Cogn Sci 16(2):114–121

    Article  Google Scholar 

  • Healey JA, Picard RW (2005) Detecting stress during real-world driving tasks using physiological sensors. IEEE Trans Intell Transp Syst 6:156–166

    Google Scholar 

  • Hipp JF, Hawellek DJ, Corbetta M, Siegel M, Engel AK (2012) Large-scale cortical correlation structure of spontaneous oscillatory activity. Nat Neurosci 15(6):884–890

    Article  Google Scholar 

  • Howlin C, Orgs G, Vicary S (2017) The impact of soundtrack congruency on the aesthetic experience of contemporary dance: exploring aesthetic interaction in terms of arousal and enjoyment ratings in three audio settings. Age 1000:29–6

    Google Scholar 

  • Jeffries S (2011) When two tribes meet: collaborations between artists and scientists. The Guardian. http://www.theguardian.com/artanddesign/2011/aug/21/collaborations-betweenartists-and-scientists. Accessed 26 Nov 2016

  • Jiang L, Stocco A, Losey DM, Abernethy JA, Prat CS, Rao RP (2018) BrainNet: a multi-person brain-to-brain interface for direct collaboration between brains. arXiv:1809.08632

  • Jirakittayakorn N, Wongsawat Y (2017) Brain responses to a 6-Hz binaural beat: effects on general theta rhythm and frontal midline theta activity. Front Neurosci 11:365

    Article  Google Scholar 

  • Jung CG (2012) Synchronicity: an acausal connecting principle (from vol 8 of the Collected Works of C. G. Jung). Princeton University Press, pp 114–115

    Google Scholar 

  • Keitel C, Quigley C, Ruhnau P (2014) Stimulus-driven brain oscillations in the alpha range: entrainment of intrinsic rhythms or frequency-following response? J Neurosci 34(31):10137–10140

    Article  Google Scholar 

  • Kerfeld CA (2009) When art, science, and culture commingle. PLoS Biol 7(5):e1000100

    Article  Google Scholar 

  • Keysers C, Gazzola V (2009) Expanding the mirror: vicarious activity for actions, emotions, and sensations. Curr Opin Neurobiol 19(6):666–671

    Article  Google Scholar 

  • Kinreich S, Djalovski A, Kraus L, Louzoun Y, Feldman R (2017) Brain-to-brain synchrony during naturalistic social interactions. Sci Rep 7(1):17060

    Article  Google Scholar 

  • Knoblich G, Butterfill S, Sebanz N (2011) 3 psychological research on joint action: theory and data. Psychol Learn Motiv Adv Res Theory 54:59

    Article  Google Scholar 

  • Konvalinka I, Vuust P, Roepstorff A, Frith CD (2010) Follow you, follow me: continuous mutual prediction and adaptation in joint tapping. Q J Exp Psychol 63(11):2220–2230

    Article  Google Scholar 

  • Lakatos P, Shah AS, Knuth KH, Ulbert I, Karmos G, Schroeder CE (2005) An oscillatory hierarchy controlling neuronal excitability and stimulus processing in the auditory cortex. J Neurophys 94(3):1904–1911

    Article  Google Scholar 

  • Lakatos P, Karmos G, Mehta AD, Ulbert I, Schroeder CE (2008) Entrainment of neuronal oscillations as a mechanism of attentional selection. Science 320(5872):110–113

    Article  Google Scholar 

  • Levy J, Goldstein A, Influs M, Masalha S, Zagoory-Sharon O, Feldman R (2016) Adolescents growing up amidst intractable conflict attenuate brain response to pain of outgroup. Proc Natl Acad Sci USA 113(48):13696–13701

    Article  Google Scholar 

  • Lisetti CL, Nasoz F (2004) Using noninvasive wearable computers to recognize human emotions from physiological signals. EURASIP J Adv Signal Process 2004:1672–1687

    Article  Google Scholar 

  • Lumsden J, Miles LK, Richardson MJ, Smith CA, Macrae NC (2012) Who syncs? social motives and interpersonal coordination. J Exp Soc Psychol 48:746–751

    Google Scholar 

  • Marsh KL, Richardson MJ, Baron RM, Schmidt RC (2006) Contrasting approaches to perceiving and acting with others. Eco Psychol 18(1):1–38

    Article  Google Scholar 

  • Marsh KL, Isenhower RW, Richardson MJ, Helt M, Verbalis AD, Schmidt RC, Fein D (2013) Autism and social disconnection in interpersonal rocking. Front Integr Neurosci 7

    Google Scholar 

  • Mathewson KE, Prudhomme C, Fabiani M, Beck DM, Lleras A, Gratton G (2012) Making waves in the stream of consciousness: entraining oscillations in EEG alpha and fluctuations in visual awareness with rhythmic visual stimulation. J Cogn Neurosci 24(12):2321–2333

    Article  Google Scholar 

  • Matusz PJ, Dikker S, Huth AG, Perrodin C (2018) Are we ready for real-world neuroscience? J Cogn Neurosci

    Google Scholar 

  • Mehler B, Reimer B, Coughlin JF (2012) Sensitivity of physiological measures for detecting systematic variations in cognitive demand from a working memory task: an on-road study across three age groups. Hum Factors (United States) 54:396–412

    Google Scholar 

  • Meyer L, Henry MJ, Gaston P, Schmuck N, Friederici AD (2016) Linguistic bias modulates interpretation of speech via neural delta-band oscillations. Cereb Cortex 27(9):4293–4302

    Google Scholar 

  • Miller AI (2014) Colliding worlds: how cutting-edge science is redefining contemporary art. WW Nort Comp

    Google Scholar 

  • Montgomery SM, Laefsky I (2011) Bio-sensing: hacking the doors of perception. Make Magazine 26:104–111

    Google Scholar 

  • Mullen T, Khalil A, Ward T, Iversen J, Leslie G, Warp R, Whitman M, Minces V, McCoy A, Ojeda A, Bigdely-Shamlo N (2015) MindMusic: playful and social installations at the interface between music and the brain. In: More playful user interfaces. Springer, Singapore, pp 197–229

    Google Scholar 

  • Neuper C, Pfurtscheller G (1999) Motor imagery and ERD. In: Pfurtscheller G, Lopes da Silva FH (eds) Event-related desynchronization, revised edition Handbook. Electroencephalogr Clin Neurophysiol vol 6. Elsevier, Amsterdam, pp 303–325

    Google Scholar 

  • Nijholt A (2015) Competing and collaborating brains: multi-brain computer interfacing. In: Brain-computer interfaces. Springer, Cham, pp 313–335

    Google Scholar 

  • Nolte G, Bai O, Wheaton L, Mari Z, Vorbach S, Hallett M (2004) Identifying true brain interaction from EEG data using the imaginary part of coherency. Clin Neurophysiol 115(10):2292–2307

    Article  Google Scholar 

  • Orgs G, Caspersen D, Haggard P (2016) You move, I watch, it matters: aesthetic communication in dance. Shar Represent: Sensorimotor Found Soc Life 627–654

    Google Scholar 

  • Parada FJ, Rossi A (2017) Commentary: brain-to-brain synchrony tracks real-world dynamic group interactions in the classroom and cognitive neuroscience: synchronizing brains in the classroom. Front Hum Neurosci 11:554

    Article  Google Scholar 

  • Paxton A, Dale R (2012) Frame-differencing methods for measuring bodily synchrony in conversation. Behav Res Methods 1–15

    Google Scholar 

  • Peelle JE, Davis MH (2012) Neural oscillations carry speech rhythm through to comprehension. Front Psychol 3:320

    Article  Google Scholar 

  • Pfurtscheller G, Lopes da Silva FH (1999) Event-related EEG/MEG synchronization and desynchronization: basic principles. Clin Neurophys 110(11):1842–1857

    Article  Google Scholar 

  • Pfurtscheller G, Neuper C (1994) Event-related synchronization of mu rhythm in the EEG over the cortical hand area in man. Neuro Lett 174(1):93–96

    Article  Google Scholar 

  • Picard RW (1995) Affective computing. M.I.T Media Laboratory Perceptual Computing Section Technical Report No. 321

    Google Scholar 

  • Pickering MJ, Garrod S (2013) An integrated theory of language production and comprehension. Behav Brain Sci 36(4):329–347

    Article  Google Scholar 

  • Pineda JA, Brang D, Hecht E, Edwards L, Carey S, Bacon M, Futagaki C, Suk D, Tom J, Birnbaum C, Rork A (2008) Positive behavioral and electrophysiological changes following neurofeedback training in children with autism. Res Autism Spectr Disord 2(3):557–581

    Article  Google Scholar 

  • Powers SR, Rauh C, Henning RA, Buck RW, West TV (2011) The effect of video feedback delay on frustration and emotion communication accuracy. Comput Hum Behav 27(5):1651–1657

    Article  Google Scholar 

  • Prusinkiewicz P (1998) In search of the right abstraction: the synergy between art, science, and information technology in the modeling of natural phenomena. Na

    Google Scholar 

  • Ramnani N, Miall RC (2003) A system in the human brain for predicting the actions of others. Nat Neurosci 7(1):85–90

    Article  Google Scholar 

  • Richardson MJ, Marsh KL, Isenhower RW, Goodman JR, Schmidt RC (2007) Rocking together: dynamics of intentional and unintentional interpersonal coordination. Hum Mov Sci 26(6):867–891

    Article  Google Scholar 

  • Richardson DC, Dale R, Shockley K (2008) Synchrony and swing in conversation: coordination, temporal dynamics, and communication. Embodied Commun Hum Mach 75–93

    Google Scholar 

  • Rigas G, Goletsis Y, Fotiadis DI (2012) Real-time driver’s stress event detection. IEEE Trans Intell Transp Syst 13:221–234

    Article  Google Scholar 

  • Sänger J, Lindenberger U, Müller V (2011) Interactive brains, social minds. Commun Integr Biol 4(6):655–663

    Article  Google Scholar 

  • Schroeder CE, Lakatos P (2008) Low-frequency neuronal oscillations as instruments of sensory selection. Trends Neurosci 32(1):9–18

    Article  Google Scholar 

  • Sebanz N, Bekkering H, Knoblich G (2006) Joint action: bodies and minds moving together. Trends Cogn Sci 10(2):70–76

    Article  Google Scholar 

  • Shteynberg G (2010) A silent emergence of culture: the social tuning effect. J Pers Soc Psychol 99(4):683

    Article  Google Scholar 

  • Spaak E, de Lange FP, Jensen O (2014) Local entrainment of alpha oscillations by visual stimuli causes cyclic modulation of perception. J Neurosci 34(10):3536–3544

    Article  Google Scholar 

  • Stephens GJ, Silbert LJ, Hasson U (2010) Speaker–listener neural coupling underlies successful communication. Proc Natl Acad Sci USA 107(32):14425–14430

    Article  Google Scholar 

  • Stern DN (1985) The interpersonal world of the infant: a view from psychoanalysis and developmental psychology. Karnac Books

    Google Scholar 

  • Stevens C, O’Connor G (2017) When artists get involved in research, science benefits. The Conversation. theconversation.com/when-artists-get-involved-in-research-science-benefits-82147

  • Stivers T, Enfield NJ, Brown P, Englert C, Hayashi M, Heinemann T, Levinson SC (2009) Universals and cultural variation in turn-taking in conversation. Proc Natl Acad Sci USA 106(26):10587–10592

    Article  Google Scholar 

  • Sun X, Lichtenauer J, Valstar M, Nijholt A, Pantic M (2011) A multimodal database for mimicry analysis. In: International conference on affective computing and intelligent interaction, October 9. Springer, Berlin, Heidelberg, pp 367–376

    Google Scholar 

  • Tognoli E, Lagarde J, DeGuzman GC, Kelso JA (2007) The phi complex as a neuromarker of human social coordination. Proc Natl Acad Sci USA 104(19):8190–8195

    Article  Google Scholar 

  • Van Berkum JJA (2013) Anticipating communication. Theor Lin 39(1–2):75–86

    Google Scholar 

  • Van Berkum JJ, Brown CM, Zwitserlood P, Kooijman V, Hagoort P (2005) Anticipating upcoming words in discourse: evidence from ERPs and reading times. J Exp Psychol Learn Mem Cogn 31(3):443

    Article  Google Scholar 

  • Van Berkum JJA, Holleman B, Nieuwland MS, Otten M, Murre J (2009) Right or wrong? The brain’s fast response to morally objectionable statements. Psychol Sci 20:1092–1099

    Article  Google Scholar 

  • Van den Brink D, Van Berkum JJA, Bastiaansen MCM, Tesink CMJY, Kos M, Buitelaar JK, Hagoort P (2012) Empathy matters: ERP evidence for inter-individual differences in social language processing. Soc Cogn Affect Neurosci 7:173–182

    Article  Google Scholar 

  • Van Essen DC, Smith SM, Barch DM, Behrens TE, Yacoub E, Ugurbil K, Wu-Minn HCP Consortium (2013) The WU-Minn human connectome project: an overview. Neuroimage 80:62–79

    Article  Google Scholar 

  • Verbeke WJ, Pozharliev R, Van Strien JW, Belschak F, Bagozzi RP (2014) “I am resting but rest less well with you.” The moderating effect of anxious attachment style on alpha power during EEG resting state in a social context. Front Hum Neurosci 8:486

    Google Scholar 

  • von Zimmermann J, Vicary S, Sperling M, Orgs G, Richardson DC (2018) The choreography of group affiliation. Top Cogn Sci 10(1):80–94

    Article  Google Scholar 

  • Watson D, Clark LA (1994) The PANAS-X: manual for the positive and negative affect schedule-expanded form. Uni Iowa, Ames

    Google Scholar 

  • Williams JH (2001) Frequency-specific effects of flicker on recognition memory. Neuroscience 104(2):283–286

    Article  Google Scholar 

  • Williams J, Ramaswamy D, Oulhaj A (2006) 10 Hz flicker improves recognition memory in older people. BMC Neurosci 7:21

    Google Scholar 

  • Wilson EO (2012) The social conquest of earth. WW Nort Comp

    Google Scholar 

  • Wu CH, Chang HC, Lee PL, Li KS, Sie JJ, Sun CW, Yang CY, Li PH, Deng HT, Shyu KK (2011) Frequency recognition in an SSVEP-based brain computer interface using empirical mode decomposition and refined generalized zero-crossing. J Neurosci Methods 196(1):170–181

    Article  Google Scholar 

  • Yun K (2013) On the same wavelength: face-to-face communication increases interpersonal neural synchronization. J Neurosci 33(12):5081–5082

    Article  Google Scholar 

  • Zamm A, Debener S, Bauer AKR, Bleichner MG, Demos AP, Palmer C (2018) Amplitude envelope correlations measure synchronous cortical oscillations in performing musicians. Ann N Y Acad Sci

    Google Scholar 

  • Zhang D, Maye A, Gao X, Hong B, Engel AK, Gao S (2010) An independent brain–computer interface using covert non-spatial visual selective attention. J Neural Eng 7(1):016010

    Article  Google Scholar 

  • Zink R, Hunyadi B, Van Huffel S, De Vos M (2016) Mobile EEG on the bike: disentangling attentional and physical contributions to auditory attention tasks. J Neural Eng 13(4):046017

    Article  Google Scholar 

Download references

Acknowledgements

Dikker and Oostrik’s work is supported by Stichting Niemeijer Fonds, The Netherlands Organization for Scientific Research (VENI grant 275-89-018), Creative Industries Fund NL, TodaysArt, MAI, de Hersenstichting, Lowlands Science, Utrecht University, NEON. Montgomery’s work is supported by: ISEA, Science Gallery at Trinity College Dublin, Harvestworks, National Endowment for the Arts, Rockefeller Foundation, Daejeon Museum of Art, Center for Life, RIXC Art Science Festival, OUTPOST Artist Resources, Ende Tymes Festival.

Author information

Authors and Affiliations

  1. Utrecht University, Utrecht, The Netherlands

    Suzanne Dikker

  2. New York University, New York City, USA

    Suzanne Dikker

  3. Produce Consume Robot, New York City, USA

    Sean Montgomery

  4. ICK Amsterdam, Amsterdam, The Netherlands

    Suzan Tunca

  5. CODARTS University of the Arts, Rotterdam, The Netherlands

    Suzan Tunca

  6. PhDArts Leiden University, Leiden, The Netherlands

    Suzan Tunca

  7. DIKKER + OOSTRIK, Amsterdam, The Netherlands

    Suzanne Dikker

  8. Produce Consume Robot, New York City, USA

    Sean Montgomery

Authors
  1. Suzanne Dikker
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sean Montgomery
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Suzan Tunca
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Suzanne Dikker .

Editor information

Editors and Affiliations

  1. Human Media Interaction, Faculty of EEMCS, Universiteit Twente, Enschede, The Netherlands

    Anton Nijholt

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Dikker, S., Montgomery, S., Tunca, S. (2019). Using Synchrony-Based Neurofeedback in Search of Human Connectedness. In: Nijholt, A. (eds) Brain Art. Springer, Cham. https://doi.org/10.1007/978-3-030-14323-7_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-14323-7_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-14322-0

  • Online ISBN: 978-3-030-14323-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation