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Microstructure predicts non-motor outcomes following deep brain stimulation in Parkinson’s disease

Deep brain stimulation of the subthalamic nucleus (STN-DBS) effectively treats motor and non-motor symptoms in advanced Parkinson’s disease (PD). As considerable interindividual variability of outcomes exists, neuroimaging-based biomarkers, including microstructural metrics, have been proposed to an...

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Autoren: Loehrer, Philipp A., Bopp, Miriam H. A., Dafsari, Haidar S., Seltenreich, Sieglinde, Knake, Susanne, Nimsky, Christopher, Timmermann, Lars, Pedrosa, David J., Belke, Marcus
Format: Artikel
Sprache:Englisch
Veröffentlicht: Philipps-Universität Marburg 2024
Schlagworte:
Medizin
Parkinson's disease
Predictive markers
Outcomes research
Medical sciences Medicine
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Zusammenfassung:Deep brain stimulation of the subthalamic nucleus (STN-DBS) effectively treats motor and non-motor symptoms in advanced Parkinson’s disease (PD). As considerable interindividual variability of outcomes exists, neuroimaging-based biomarkers, including microstructural metrics, have been proposed to anticipate treatment response. In this prospective open-label study, we sought to detect microstructural properties of brain areas associated with short-term non-motor outcomes following STN-DBS. Thirty-seven PD patients underwent diffusion MRI and clinical assessments at preoperative baseline and 6-month follow-up. Whole brain voxel-wise analysis assessed associations between microstructural metrics and non-motor outcomes. Intact microstructure within specific areas, including the right insular cortex, right putamen, right cingulum, and bilateral corticospinal tract were associated with greater postoperative improvement of non-motor symptom burden. Furthermore, microstructural properties of distinct brain regions were associated with postoperative changes in sleep, attention/memory, urinary symptoms, and apathy. In conclusion, diffusion MRI could support preoperative patient counselling by identifying patients with above- or below-average non-motor responses.
Beschreibung:Gefördert durch den Open-Access-Publikationsfonds der UB Marburg.
DOI:10.1038/s41531-024-00717-y

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