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Published February 2016 | Published
Journal Article Open

Signal quality of endovascular electroencephalography

Abstract

Objective, Approach. A growing number of prototypes for diagnosing and treating neurological and psychiatric diseases are predicated on access to high-quality brain signals, which typically requires surgically opening the skull. Where endovascular navigation previously transformed the treatment of cerebral vascular malformations, we now show that it can provide access to brain signals with substantially higher signal quality than scalp recordings. Main results. While endovascular signals were known to be larger in amplitude than scalp signals, our analysis in rabbits borrows a standard technique from communication theory to show endovascular signals also have up to 100× better signal-to-noise ratio. Significance. With a viable minimally-invasive path to high-quality brain signals, patients with brain diseases could one day receive potent electroceuticals through the bloodstream, in the course of a brief outpatient procedure.

Additional Information

© 2016 IOP Publishing Ltd. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Received 11 March 2015, revised 2 September 2015; Accepted for publication 18 September 2015; Published 6 January 2016. Funding was provided in part to BDH by the Caltech Summer Undergraduate Research Fellowship, and to LS by UCLA Radiology and Stanford Radiology. We would like to thank the staff of the UCLA Translational Research Imaging Center, as well as Sandra Duarte-Vogel, DVM for assistance during experiments. Thanks to Amit Balgude, MD for discussions on endovascular access. Thanks to Luis Armendariz and Louis Yang from the Neural Signal Processing Laboratory (NSPL) for early theoretical feasibility analysis with current dipole modeling. Thanks to Siamak Yousefi and Christopher Hallacy (NSPL) for early experimental planning. Thanks to Rengaswamy Srinivasan, Applied Physics Laboratory, for discussions on impedance characterization.

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August 20, 2023
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