ArticleScientific reports2025
Preoperative structural networks based on DTI predicts initial subthalamic nucleus stimulation outcome in parkinson's disease.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Predictive Models for Motor Outcomes From Deep Brain Stimulation in Parkinson's Disease: A Systematic Review.The European journal of neuroscience · 2026Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Deep brain stimulation (DBS) is widely used to treat Parkinson's disease (PD), but its efficacy varies. This study aimed to investigate how preoperative structural network influences subthalamic nucleus deep brain stimulation (STN-DBS) outcome in Parkinson's disease (PD). This study retrospectively collected 93 patients, and divided them into a low improvement group (LIG) and a high improvement group (HIG). Preoperative structural networks were constructed from diffusion tensor images using probability constrained spherical deconvolution algorithm. This study compared topological characteristics between groups and explored the prognostic value of structural networks. Compared to HIG, LIG has a longer normalized characteristic path length and diminished inter-regional connections within left frontal lobe. Normalized characteristic path length is negatively correlated with DBS outcome, while connection strength is positively correlated with DBS outcome. Notably, the fusion method of clinical phenotype and network characteristics has better predictive power for postoperative DBS outcome than either the clinical method or the network method. This study reveals that both normalized characteristic path length and connectivity between the left superior frontal gyrus (central region) and the left medial frontal gyrus (ventral lateral region) are associated with initial DBS efficacy, which could be preoperative biomarkers of DBS outcome.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.