Publications by authors named "J L Contreras-Vidal"
This report contains a description of physiological and motion data, recorded simultaneously and in synchrony using the hyperscanning method from two professional dancers using wireless mobile brain-body imaging (MoBI) technology during rehearsals and public performances of "LiveWire" - a new composition comprised of five choreographed music and dance sections inspired by neuroscience principles. Brain and ocular activity were measured using 28-channel scalp electroencephalography (EEG), and 4-channel electrooculography (EOG), respectively; and head motion was recorded using an inertial measurement unit (IMU) placed on the forehead of each dancer. Video recordings were obtained for each session to allow for tagging of physiological and motion signals and for behavioral analysis.
View Article and Find Full Text PDFBackground: Dissecting the neurobiology of dance would shed light on a complex, yet ubiquitous, form of human communication. In this experiment, we sought to study, via mobile electroencephalography (EEG), the brain activity of five experienced dancers while dancing butoh, a postmodern dance that originated in Japan.
Results: We report the experimental design, methods, and practical execution of a highly interdisciplinary project that required the collaboration of dancers, engineers, neuroscientists, musicians, and multimedia artists, among others.
Article Synopsis
- - The editorial discusses a workshop focused on "The Social and Neural Bases of Creative Movement."
- - Participants included dancers, choreographers, musicians, artists, kinesiologists, and neuroscientists, aimed at fostering collaboration.
- - The goal was to create a shared understanding and terminology to explore how dance connects with brain functions.
Article Synopsis
- * This research investigates the use of non-invasive EEG to develop speech Brain-Computer Interfaces (BCIs) that decode speech features directly, aiming for a more natural communication method.
- * Deep learning models, such as CNNs and RNNs, were tested for speech decoding tasks, showing significant success in distinguishing both discrete and continuous speech elements, while also indicating the importance of specific EEG frequency bands for performance.
Article Synopsis
- - The study explores how different balance tasks (platform translation vs. rotation) affect brain activity in young adults, highlighting the unique cortical responses elicited by each task.
- - Using EEG, researchers observed that maintaining balance on a translating surface increased delta wave activity and decreased alpha wave activity in the frontocentral region, indicating more cognitive and sensory engagement compared to rotating the surface.
- - Transcranial magnetic stimulation was applied to test its effect on brain activity, showing that it reduced delta activity during the translation task but did not impact alpha activity, paving the way for future neurointerventions aimed at improving balance across various activities.