Back to search

Article

Personalized Deep Brain Stimulation: AI-Driven Fusion of Multi-Modal Imaging and Finite Element Analysis for Predictive Electrode Field Modeling

2025-08-07

Abstract excerpt

<title>Abstract</title> <p>Precise targeting in deep brain stimulation (DBS) is challenged by individual neuroanatomical variability and postoperative brain shift, often compromising therapeutic efficacy in movement disorders like Parkinson's disease. Conventional atlas-based approaches lack patient-specific models to predict stimulation field interactions with target nuclei (e.g., STN, GPi). Here we present an i...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
e8ebb89c-6cd4-5ad7-8a7d-4758e86bf782
DOI
10.21203/rs.3.rs-7288430/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Personalized Deep Brain Stimulation: AI-Driven Fusion of Multi-Modal Imaging and Finite Element Analysis for Predictive Electrode Field ModelingDOI 10.21203/rs.3.rs-7288430/v1
Select a neighboring publication to make it the new centre.