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Opto-E-Dura: A Soft, Stretchable ECoG Array for Multimodal, Multiscale Neuroscience
Swiss Fed Inst Technol, Switzerland.
Swiss Fed Inst Technol, Switzerland.
Linköping University, Department of Science and Technology, Laboratory of Organic Electronics. Linköping University, Faculty of Science & Engineering. Swiss Fed Inst Technol, Switzerland.ORCID iD: 0000-0002-9845-446X
Swiss Fed Inst Technol, Switzerland.
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2020 (English)In: Advanced Healthcare Materials, ISSN 2192-2640, E-ISSN 2192-2659, Vol. 9, no 17, article id 2000814Article in journal (Refereed) Published
Abstract [en]

Soft, stretchable materials hold great promise for the fabrication of biomedical devices due to their capacity to integrate gracefully with and conform to biological tissues. Conformal devices are of particular interest in the development of brain interfaces where rigid structures can lead to tissue damage and loss of signal quality over the lifetime of the implant. Interfaces to study brain function and dysfunction increasingly require multimodal access in order to facilitate measurement of diverse physiological signals that span the disparate temporal and spatial scales of brain dynamics. Here the Opto-e-Dura, a soft, stretchable, 16-channel electrocorticography array that is optically transparent is presented. Its compatibility with diverse optical and electrical readouts is demonstrated enabling multimodal studies that bridge spatial and temporal scales. The device is chronically stable for weeks, compatible with wide-field and 2-photon calcium imaging and permits the repeated insertion of penetrating multielectrode arrays. As the variety of sensors and effectors realizable on soft, stretchable substrates expands, similar devices that provide large-scale, multimodal access to the brain will continue to improve fundamental understanding of brain function.

Place, publisher, year, edition, pages
WILEY , 2020. Vol. 9, no 17, article id 2000814
Keywords [en]
ECoG; in vivo; multimodal recording; polydimethylsiloxane; stretchable electronics
National Category
Biophysics
Identifiers
URN: urn:nbn:se:liu:diva-168558DOI: 10.1002/adhm.202000814ISI: 000550514500001PubMedID: 32691992OAI: oai:DiVA.org:liu-168558DiVA, id: diva2:1462139
Note

Funding Agencies|ETH ZurichETH Zurich; Swedish Government Strategic Research Area in Materials Science on Advanced Functional Materials at Linkoping University (Faculty Grant SFO-Mat-LiU) [2009-00971]; Swedish Foundation for Strategic ResearchSwedish Foundation for Strategic Research; Forschungskredit from the University of Zurich [K-41220-04]; European Research Council (ERC Advanced Grant BRAINCOMPATH)European Research Council (ERC) [670757]

Available from: 2020-08-28 Created: 2020-08-28 Last updated: 2022-10-28

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