Adaptive deep brain stimulation (aDBS) modulates neuronal circuits based on clinically relevant biofeedback signals in real-time. First developed in the mid-2000s, many groups have worked on improving closed-loop DBS technology. The field is now at a point in conducting large-scale randomized clinical trials to translate aDBS into clinical practice. As we move towards implanting brain-computer interfaces in patients, it will be important to understand the technical aspects of aDBS. This review provides a comprehensive overview of the technological building blocks comprising closed-loop systems, feedback variables used to control energy delivery to the brain, and the extent to which DBS parameters can be adapted to improve therapeutic outcomes.

Deep brain stimulation: is it time to change gears by closing the loop? / S. Marceglia, M. Guidetti, I.E. Harmsen, A. Loh, S. Meoni, G. Foffani, A. M Lozano, J. Volkmann, E. Moro, A. Priori. - In: JOURNAL OF NEURAL ENGINEERING. - ISSN 1741-2560. - (2021). [Epub ahead of print] [10.1088/1741-2552/ac3267]

Deep brain stimulation: is it time to change gears by closing the loop?

M. Guidetti;S. Meoni;A. Priori
2021

Abstract

Adaptive deep brain stimulation (aDBS) modulates neuronal circuits based on clinically relevant biofeedback signals in real-time. First developed in the mid-2000s, many groups have worked on improving closed-loop DBS technology. The field is now at a point in conducting large-scale randomized clinical trials to translate aDBS into clinical practice. As we move towards implanting brain-computer interfaces in patients, it will be important to understand the technical aspects of aDBS. This review provides a comprehensive overview of the technological building blocks comprising closed-loop systems, feedback variables used to control energy delivery to the brain, and the extent to which DBS parameters can be adapted to improve therapeutic outcomes.
Closed-loop; Deep Brain Stimulation; Local Field Potentials; Movement Disorders; Neuromodulation; Technology
Settore MED/26 - Neurologia
Settore ING-INF/06 - Bioingegneria Elettronica e Informatica
22-ott-2021
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/877893
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