Toward adaptive deep brain stimulation in Parkinson's disease: a review

Author:

Mohammed Ameer1,Bayford Richard2,Demosthenous Andreas1

Affiliation:

1. Department of Electronic & Electrical Engineering, University College London, Torrington Place, London WC1E 7JE, UK

2. Department of Natural Sciences, Middlesex University, The Burroughs, London NW4 6BT, UK

Abstract

Clinical deep brain stimulation (DBS) is now regarded as the therapeutic intervention of choice at the advanced stages of Parkinson's disease. However, some major challenges of DBS are stimulation induced side effects and limited pacemaker battery life. Side effects and shortening of pacemaker battery life are mainly as a result of continuous stimulation and poor stimulation focus. These drawbacks can be mitigated using adaptive DBS (aDBS) schemes. Side effects resulting from continuous stimulation can be reduced through adaptive control using closed-loop feedback, while those due to poor stimulation focus can be mitigated through spatial adaptation. Other advantages of aDBS include automatic, rather than manual, initial adjustment and programming, and long-term adjustments to maintain stimulation parameters with changes in patient's condition. Both result in improved efficacy. This review focuses on the major areas that are essential in driving technological advances for the various aDBS schemes. Their challenges, prospects and progress so far are analyzed. In addition, important advances and milestones in state-of-the-art aDBS schemes are highlighted – both for closed-loop adaption and spatial adaption. With perspectives and future potentials of DBS provided at the end.

Publisher

Future Medicine Ltd

Subject

Clinical Neurology

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