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An electroencephalogram microdisplay to visualize neuronal activity on the brain surface.
Tchoe, Youngbin; Wu, Tianhai; U, Hoi Sang; Roth, David M; Kim, Dongwoo; Lee, Jihwan; Cleary, Daniel R; Pizarro, Patricia; Tonsfeldt, Karen J; Lee, Keundong; Chen, Po Chun; Bourhis, Andrew M; Galton, Ian; Coughlin, Brian; Yang, Jimmy C; Paulk, Angelique C; Halgren, Eric; Cash, Sydney S; Dayeh, Shadi A.
Afiliação
  • Tchoe Y; Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
  • Wu T; Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, Korea.
  • U HS; Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
  • Roth DM; Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
  • Kim D; Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
  • Lee J; Department of Anesthesiology, University of California, San Diego, La Jolla, CA 92093, USA.
  • Cleary DR; Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
  • Pizarro P; Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
  • Tonsfeldt KJ; Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
  • Lee K; Center for the Future of Surgery, Department of Surgery, University of California, San Diego, La Jolla, CA 92093, USA.
  • Chen PC; Department of Neurological Surgery, University of California, San Diego, La Jolla, CA 92093, USA.
  • Bourhis AM; Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
  • Galton I; Department of Neurological Surgery, Oregon Health & Science University, Mail code CH8N, 3303 SW Bond Avenue, Portland, OR 97239, USA.
  • Coughlin B; Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
  • Yang JC; Department of Obstetrics, Gynecology, and Reproductive Sciences, Center for Reproductive Science and Medicine, University of California, San Diego, La Jolla, CA 92093, USA.
  • Paulk AC; Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
  • Halgren E; Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
  • Cash SS; Integrated Electronics and Biointerfaces Laboratory, Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
  • Dayeh SA; Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
Sci Transl Med ; 16(744): eadj7257, 2024 Apr 24.
Article em En | MEDLINE | ID: mdl-38657026
ABSTRACT
Functional mapping during brain surgery is applied to define brain areas that control critical functions and cannot be removed. Currently, these procedures rely on verbal interactions between the neurosurgeon and electrophysiologist, which can be time-consuming. In addition, the electrode grids that are used to measure brain activity and to identify the boundaries of pathological versus functional brain regions have low resolution and limited conformity to the brain surface. Here, we present the development of an intracranial electroencephalogram (iEEG)-microdisplay that consists of freestanding arrays of 2048 GaN light-emitting diodes laminated on the back of micro-electrocorticography electrode grids. With a series of proof-of-concept experiments in rats and pigs, we demonstrate that these iEEG-microdisplays allowed us to perform real-time iEEG recordings and display cortical activities by spatially corresponding light patterns on the surface of the brain in the surgical field. Furthermore, iEEG-microdisplays allowed us to identify and display cortical landmarks and pathological activities from rat and pig models. Using a dual-color iEEG-microdisplay, we demonstrated coregistration of the functional cortical boundaries with one color and displayed the evolution of electrical potentials associated with epileptiform activity with another color. The iEEG-microdisplay holds promise to facilitate monitoring of pathological brain activity in clinical settings.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Eletroencefalografia Idioma: En Ano de publicação: 2024 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Eletroencefalografia Idioma: En Ano de publicação: 2024 Tipo de documento: Article