The design of brainstem interfaces: characterisation of physiological artefacts and implications for closed-loop algorithms

Surgical neuromodulation through implantable devices allows for stimulation delivery to subcortical regions, crucial for symptom control in many debilitating neurological conditions. Novel closed-loop algorithms deliver therapy tailor-made to endogenous physiological activity, however rely on precis...

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Autori principali: Deli, A, Toth, R, Zamora, M, Zand, APD, Green, AL, Denison, T
Natura: Conference item
Lingua:English
Pubblicazione: IEEE 2023
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author Deli, A
Toth, R
Zamora, M
Zand, APD
Green, AL
Denison, T
author_facet Deli, A
Toth, R
Zamora, M
Zand, APD
Green, AL
Denison, T
author_sort Deli, A
collection OXFORD
description Surgical neuromodulation through implantable devices allows for stimulation delivery to subcortical regions, crucial for symptom control in many debilitating neurological conditions. Novel closed-loop algorithms deliver therapy tailor-made to endogenous physiological activity, however rely on precise sensing of signals such as subcortical oscillations. The frequency of such intrinsic activity can vary depending on subcortical target nucleus, while factors such as regional anatomy may also contribute to variability in sensing signals. While artefact parameters have been explored in more ‘standard’ and commonly used targets (such as the basal ganglia, which are implanted in movement disorders), characterisation in novel candidate nuclei is still under investigation. One such important area is the brainstem, which contains nuclei crucial for arousal and autonomic regulation. The brainstem provides additional implantation targets for treatment indications in disorders of consciousness and sleep, yet poses distinct anatomical challenges compared to central subcortical targets. Here we investigate the region-specific artefacts encountered during activity and rest while streaming data from brainstem implants with a cranially-mounted device in two patients. Such artefacts result from this complex anatomical environment and its interactions with physiological parameters such as head movement and cardiac functions. The implications of the micromotion-induced artefacts, and potential mitigation, are then considered for future closed-loop stimulation methods.
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spelling oxford-uuid:a8aad2e9-a832-4007-9493-527a7353b9662023-05-24T11:00:45ZThe design of brainstem interfaces: characterisation of physiological artefacts and implications for closed-loop algorithmsConference itemhttp://purl.org/coar/resource_type/c_5794uuid:a8aad2e9-a832-4007-9493-527a7353b966EnglishSymplectic ElementsIEEE2023Deli, AToth, RZamora, MZand, APDGreen, ALDenison, TSurgical neuromodulation through implantable devices allows for stimulation delivery to subcortical regions, crucial for symptom control in many debilitating neurological conditions. Novel closed-loop algorithms deliver therapy tailor-made to endogenous physiological activity, however rely on precise sensing of signals such as subcortical oscillations. The frequency of such intrinsic activity can vary depending on subcortical target nucleus, while factors such as regional anatomy may also contribute to variability in sensing signals. While artefact parameters have been explored in more ‘standard’ and commonly used targets (such as the basal ganglia, which are implanted in movement disorders), characterisation in novel candidate nuclei is still under investigation. One such important area is the brainstem, which contains nuclei crucial for arousal and autonomic regulation. The brainstem provides additional implantation targets for treatment indications in disorders of consciousness and sleep, yet poses distinct anatomical challenges compared to central subcortical targets. Here we investigate the region-specific artefacts encountered during activity and rest while streaming data from brainstem implants with a cranially-mounted device in two patients. Such artefacts result from this complex anatomical environment and its interactions with physiological parameters such as head movement and cardiac functions. The implications of the micromotion-induced artefacts, and potential mitigation, are then considered for future closed-loop stimulation methods.
spellingShingle Deli, A
Toth, R
Zamora, M
Zand, APD
Green, AL
Denison, T
The design of brainstem interfaces: characterisation of physiological artefacts and implications for closed-loop algorithms
title The design of brainstem interfaces: characterisation of physiological artefacts and implications for closed-loop algorithms
title_full The design of brainstem interfaces: characterisation of physiological artefacts and implications for closed-loop algorithms
title_fullStr The design of brainstem interfaces: characterisation of physiological artefacts and implications for closed-loop algorithms
title_full_unstemmed The design of brainstem interfaces: characterisation of physiological artefacts and implications for closed-loop algorithms
title_short The design of brainstem interfaces: characterisation of physiological artefacts and implications for closed-loop algorithms
title_sort design of brainstem interfaces characterisation of physiological artefacts and implications for closed loop algorithms
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