Musical components important for the Mozart K448 effect in epilepsy

Autor: Michael A. Casey, Alan B. Ettinger, Barbara C. Jobst, Yinchen Song, Grace Leslie, Edward J. Camp, Robert J. Quon, Krzysztof A. Bujarski, Sarah A Steimel, Stephen Meisenhelter, Markus E. Testorf

Publikováno v: Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Scientific Reports

There is growing evidence for the efficacy of music, specifically Mozart’s Sonata for Two Pianos in D Major (K448), at reducing ictal and interictal epileptiform activity. Nonetheless, little is known about the mechanism underlying this beneficial

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e145279793837aece107dcfa3190b06
https://doaj.org/article/68b55c950b9547759e644858cfd171cd

Inner Rhythms: Vessels as a Sustained Brain-Body Performance Practice

Autor: Grace Leslie, Zubin Kanga

Publikováno v: Leonardo. 54:325-328

Vessels is a brain-body performance practice that combines flute improvisation with live, sonified brain and body data. This article describes the genesis of this performance practice, which coevolved with the author’s brain-music interfacing and p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f517766aed0d4db1098eec4363c955f9
https://doi.org/10.1162/leon_a_01963

40-Hz auditory stimulation for intracranial interictal activity: A pilot study

Autor: Alan B. Ettinger, Edward J. Camp, Barbara C. Jobst, Stephen Meisenhelter, Yinchen Song, Grace Leslie, Michael A. Casey, Krzysztof A. Bujarski, Sarah A Steimel, Robert J. Quon

Publikováno v: Acta Neurol Scand

Objectives To study the effects of auditory stimuli on interictal epileptiform discharge (IED) rates evident with intracranial monitoring. Materials and methods Eight subjects undergoing intracranial EEG monitoring for refractory epilepsy participate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::034658358bf9949721543846e76e49e2
https://europepmc.org/articles/PMC8832987/

Mind the beat: detecting audio onsets from EEG recordings of music listening

Autor: Alexander Lerch, Ashvala Vinay, Grace Leslie

Publikováno v: ICASSP

We propose a deep learning approach to predicting audio event onsets in electroencephalogram (EEG) recorded from users as they listen to music. We use a publicly available dataset containing ten contemporary songs and concurrently recorded EEG. We ge

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28fc380e6d45347a80213e85d54d4a68

Brain-Computer Interfaces for Artistic Expression

Autor: Marvin Andujar, Beste F. Yuksel, Grace Leslie, Anton Nijholt, Robert J. K. Jacob

Publikováno v: CHI 2018-Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI, 2018-April
CHI Extended Abstracts

Artists have been using BCIs for artistic expression since the 1960s. Their interest and creativity is now increasing because of the availability of affordable BCI devices and software that does not require them to invest extensive time in getting th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eea6802a6d5b0403ed8cc4cc7fb75c49
https://research.utwente.nl/en/publications/cd6c22c5-cbf0-47aa-a306-df8518371d6a