Predicting cognition after subthalamic Deep Brain Stimulation in Parkinson’s Disease

Cognitive deficits have a high impact on quality of life in Parkinson's disease (PD). This study takes into account the multifaceted etiology of cognition to estimate the cognitive outcome after deep brain stimulation (DBS) surgery in PD. Clinical, neuropsychological, perioperative, neuroimaging- and laboratory-based risk factors for cognitive dysfunction were prospectively assessed prior to surgery in 57 patients (21 female; age 60.2 ± 8.2; disease duration 10.5 ± 5.9 years, preregistered 9 June 2019 at clinicaltrials.gov, NCT03982953). Elastic net regularized regression and leave-one-out cross-validation were used to fit a multivariable model with the Montréal Cognitive Assessment (MoCA) change one year after surgery as primary outcome. The backward span had the most robust association with the cognitive outcome (rho = 0.499, p < 0.001**; c = 0.302). We propose a post-hoc prediction model for cognition based on the baseline MoCA and backward span (R² = 0.50). After clinical validation, our short and easily applicable prediction model could improve informed therapeutic decision making.

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Publication Details

Journal
npj Parkinson s Disease
Published
2025-08-28
DOI
https://doi.org/10.1038/s41531-025-01128-3
Citations
2
Primary Topic
Neurological disorders and treatments
Type
article
Field-Weighted Citation Impact
2.78

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article

Predicting cognition after subthalamic Deep Brain Stimulation in Parkinson’s Disease

Andrea A. Kühn, Claudia Spies, Melanie Astalosch, Katharina Faust et al.
2 citations
npj Parkinson s Disease
Neurological disorders and treatments
2.78
article

Predicting cognition after subthalamic Deep Brain Stimulation in Parkinson’s Disease

Andrea A. Kühn, Claudia Spies, Melanie Astalosch, Katharina Faust, Friedrich Borchers, Bassam Al‐Fatly, Heiner Stuke, Jan Roediger, Patricia Krause, Gerd‐Helge Schneider, Dorothee Kübler, Stefan Haufe, Mahta Mousavi, Luísa Martins Ribeiro, Elias Landfried
article en
2 citations

Abstract

Cognitive deficits have a high impact on quality of life in Parkinson's disease (PD). This study takes into account the multifaceted etiology of cognition to estimate the cognitive outcome after deep brain stimulation (DBS) surgery in PD. Clinical, neuropsychological, perioperative, neuroimaging- and laboratory-based risk factors for cognitive dysfunction were prospectively assessed prior to surgery in 57 patients (21 female; age 60.2 ± 8.2; disease duration 10.5 ± 5.9 years, preregistered 9 June 2019 at clinicaltrials.gov, NCT03982953). Elastic net regularized regression and leave-one-out cross-validation were used to fit a multivariable model with the Montréal Cognitive Assessment (MoCA) change one year after surgery as primary outcome. The backward span had the most robust association with the cognitive outcome (rho = 0.499, p < 0.001**; c = 0.302). We propose a post-hoc prediction model for cognition based on the baseline MoCA and backward span (R² = 0.50). After clinical validation, our short and easily applicable prediction model could improve informed therapeutic decision making.

npj Parkinson s DiseaseVol. 11(1)
Physikalisch-Technische Bundesanstalt (DE), Robert Koch Institute (DE), German Center for Neurodegenerative Diseases (DE), Humboldt-Universität zu Berlin (DE), Düsseldorf University Hospital (DE), Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE), Heinrich Heine University Düsseldorf (DE), Technische Universität Berlin (DE), Charité - Universitätsmedizin Berlin (DE)
European Commission, Deutsche Forschungsgemeinschaft, Lundbeckfonden, Einstein Stiftung Berlin, H. Lundbeck A/S, Berlin Institute of Health
Openalex Percentile: Top 9%
Neurological disorders and treatments
2.78
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