Project description DEENESFRITPL Closed-loop deep brain stimulation for neurological disorders Closed-loop deep brain stimulation (DBS) represents a promising new treatment for neurological disorders. Currently, there is no consensus on the best algorithm to control deep brain stimulation, which delays implementation of the technique in clinical practice. The EU-funded SilVerDBS project aims to design a novel algorithm for closed-loop DBS and to demonstrate its superior efficiency in terms of symptom reduction, longer battery life and fewer treatment-induced side effects. The demonstration will be conducted in silico in a state-of-the-art verification environment. The stimulation algorithms and their hardware implementations will be tested using a range of computational models of Parkinson’s disease brain, for objective results regarding efficacy and efficiency. Show the project objective Hide the project objective Objective Closed-loop deep brain stimulation is a promising new treatment for several neurological disorders, including Parkinson's disease. Closed-loop approaches offer the potential to not only match or even surpass the effectiveness of currently available treatments, but also promise longer battery life with fewer treatment-induced side effects. Despite preliminary experimental studies supported by computational analyses demonstrating its efficacy, there is no consensus on the best algorithm for controlling deep brain stimulation. This lack of a clear direction delays the implementation and clinical adoption of the technique. Moreover, without an understanding of the effectiveness of the various control approaches available, it is difficult to identify the most appropriate control scheme. To address this issue, this project aims to design a novel algorithm for closed-loop DBS and demonstrate that it outperforms the currently proposed approaches in terms of total energy use and symptom reduction. The demonstration will be conducted using a state-of-the art verification environment, where the proposed stimulation algorithms and their hardware implementations will be tested against a range of computational models of parkinsonian brain, providing objective measures of efficacy and efficiency of the proposed stimulation approaches. Fields of science medical and health sciencesbasic medicineneurologyparkinson Keywords closed-loop control deep brain stimulation Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2020 - Individual Fellowships Call for proposal H2020-MSCA-IF-2020 See other projects for this call Funding Scheme MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF) Coordinator UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN Net EU contribution € 184 590,72 Address BELFIELD 4 Dublin Ireland See on map Region Ireland Eastern and Midland Dublin Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 184 590,72
