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Combining Mobile Brain/Body Imaging with Virtual Reality – new prospects for ecological investigations of human brain function
Prof. Dr. Klaus GramannDone
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Modelling the electrophysiology of hierarchical speech and language processing
Associate Prof. Edmund LalorDone
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Flower electrodes for comfortable dry electroencephalography
Prof. Dr. Jens HaueisenDone
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EEG based triage of stroke patients in the ambulance
Dr. Wouter PottersDone
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Neurobiological effect of psychedelics – from animal EEG research to the measurement of human inter-brain connectivity during Ayahuasca ceremony in indigenous setting.
Martin Brunovský, M.D., PhD.Done
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Opening address
Martijn SchreuderDone
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Assessment of single-trial evoked brain oscillations targeted by transcranial alternating current stimulation using optically-pumped magnetometry
Dr. Vincent JonanyDone
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Frontiers in Non-invasive Brain Stimulation: Clinical Applications and Future Directions
Surjo SoekadarDone
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Sponge EEG is equivalent regarding signal quality, but faster than routine EEG
Dr. med. Justus MarquetandDone
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Inspiring technology for the human brain: ANT’s journey in shaping the future of neurotechnology
Dr. Frank ZanowDone
I am a cognitive neuroscientist studying how we perceive and understand human movement, most recently in a live performance context (www.neurolive.info). I studied performing dance at the Folkwang University of the Arts and Psychology at the University of Düsseldorf, both in Germany. After completion of my PhD in Cognitive Neuroscience on the neural correlates of sound meaning, I joined German Dance Company NEUER TANZ/VA WÖLFL as a full-time performer. Since 2009, I have lived and worked in London, first as a postdoctoral researcher at the Institute of Cognitive Neuroscience. I joined the Psychology Department at Goldsmiths in 2015.
Watching live dance, theatre, or music events is an inherently social activity in which people often share a highly emotional experience. Yet, neuroscientific research into music or dance cognition has been almost exclusively conducted on individual people in a lab setting. Across three live performances of a contemporary dance choreography we measured real-time dynamics between the brains of large audience groups while watching the show. We recorded 32-channel mobile EEG and respiratory activity from up to 23 audience members simultaneously (total N = 69) and assessed the spectators’ engagement after the performance. We computed inter-brain correlations to measure brain synchrony between audience members relative to an active resting-state baseline. Audience EEG synchrony was highest in the delta frequency band and varied with the structural features of the choreography: sections with greater movement complexity and direct audience interaction (‘breaking the fourth wall’) showed significantly higher synchrony than resting-state and were rated significantly higher for engagement by an independent audience sample. Granger Causality analyses showed that the dancers’ movements and the choreographer’s intention to direct collective attention were the best predictors of delta band synchrony over time, outperforming changes in music or lighting. Our findings show that audience engagement during a live performance is measurable as artistically directed, collective attention between co-present spectators.