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Curr Opin Neurobiol. 2018 Jun;50:119-127. doi: 10.1016/j.conb.2018.01.012. Epub 2018 Feb 20.

Toward true closed-loop neuromodulation: artifact-free recording during stimulation.

Author information

1
Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, 2108 Allston Way, Suite 200, Berkeley, CA 94704, United States.
2
Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, 2108 Allston Way, Suite 200, Berkeley, CA 94704, United States. Electronic address: rikky@berkeley.edu.

Abstract

Closed-loop and responsive neuromodulation systems improve open-loop neurostimulation by responding directly to measured neural activity and providing adaptive, on-demand therapy. To be effective, these systems must be able to simultaneously record and stimulate neural activity, a task made difficult by persistent stimulation artifacts that distort and obscure underlying biomarkers. To enable simultaneous stimulation and recording, several techniques have been proposed. These techniques involve artifact-preventing system configurations, resilient recording front-ends, and back-end signal processing for removing recorded artifacts. Co-designing and integrating these artifact cancellation techniques will be key to enabling neuromodulation systems to stimulate and record at the same time. Here, we review the state-of-the-art for these techniques and their role in achieving artifact-free neuromodulation.

PMID:
29471216
DOI:
10.1016/j.conb.2018.01.012
[Indexed for MEDLINE]

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