A new era in electroencephalographic monitoring? Subscalp devices for ultra-long-term recordings.
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Duun-Henriksen J
Department of Basic & Clinical Neuroscience, King's College London, London, UK.
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Baud M
Sleep-Wake-Epilepsy Center and Center for Experimental Neurology, Department of Neurology, Bern University Hospital, University of Bern, Bern, Switzerland.
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Richardson MP
Department of Basic & Clinical Neuroscience, King's College London, London, UK.
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Cook M
Graeme Clark Institute, University of Melbourne, Melbourne, Victoria, Australia.
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Kouvas G
Wyss Center for Bio and Neuroengineering, Geneva, Switzerland.
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Heasman JM
Cochlear, Sydney, New South Wales, Australia.
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Friedman D
NYU Langone Comprehensive Epilepsy Center, New York, New York, USA.
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Peltola J
Department of Neurology, Tampere University and Tampere University Hospital, Tampere, Finland.
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Zibrandtsen IC
Center of Neurophysiology, Department of Neurology, Zealand University Hospital, Roskilde, Denmark.
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Kjaer TW
Center of Neurophysiology, Department of Neurology, Zealand University Hospital, Roskilde, Denmark.
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English
Inaccurate subjective seizure counting poses treatment and diagnostic challenges and thus suboptimal quality in epilepsy management. The limitations of existing hospital- and home-based monitoring solutions are motivating the development of minimally invasive, subscalp, implantable electroencephalography (EEG) systems with accompanying cloud-based software. This new generation of ultra-long-term brain monitoring systems is setting expectations for a sea change in the field of clinical epilepsy. From definitive diagnoses and reliable seizure logs to treatment optimization and presurgical seizure foci localization, the clinical need for continuous monitoring of brain electrophysiological activity in epilepsy patients is evident. This paper presents the converging solutions developed independently by researchers and organizations working at the forefront of next generation EEG monitoring. The immediate value of these devices is discussed as well as the potential drivers and hurdles to adoption. Additionally, this paper discusses what the expected value of ultra-long-term EEG data might be in the future with respect to alarms for especially focal seizures, seizure forecasting, and treatment personalization.
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Open access status
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hybrid
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https://sonar.ch/global/documents/9690
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