Patient-specific and interpretable deep brain stimulation optimisation using MRI and clinical review data

The proposed automated method for optimisation of the DBS electrode contact and current selection shows promising results and is readily applicable to existing clinical workflows. We demonstrate that the algorithmically selected contacts perform better than manual selections according to electric field calculations, without the iterative optimisation procedure.

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Publication Details

Journal
Frontiers in Neuroscience
Published
2025-10-22
DOI
https://doi.org/10.3389/fnins.2025.1661987
Primary Topic
Neurological disorders and treatments
Type
article
Field-Weighted Citation Impact
0.00

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article

Patient-specific and interpretable deep brain stimulation optimisation using MRI and clinical review data

Eduard Bakštein, Daniel Novák, Pavel Filip, Andrej Lasica et al.
Frontiers in Neuroscience
Neurological disorders and treatments
article

Patient-specific and interpretable deep brain stimulation optimisation using MRI and clinical review data

Eduard Bakštein, Daniel Novák, Pavel Filip, Andrej Lasica, Apostolos Mikroulis
article en

Abstract

The proposed automated method for optimisation of the DBS electrode contact and current selection shows promising results and is readily applicable to existing clinical workflows. We demonstrate that the algorithmically selected contacts perform better than manual selections according to electric field calculations, without the iterative optimisation procedure.

Frontiers in NeuroscienceVol. 19
Charles University (CZ), National Institute of Mental Health (CZ), Czech Technical University in Prague (CZ)
Všeobecná Fakultní Nemocnice v Praze
Openalex Percentile: Top 57%
Neurological disorders and treatments
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