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Updated: Feb 7, 2026

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
Published on: November 13, 2016
Functional Connectivity-Based Modelling Simulates Subject-Specific Network Spreading Effects of Focal Brain
Xiaoyu Chen1,2, Chencheng Zhang3, Yuxin Li1,4
1Institute of Neuroscience, State Key Laboratory of Neuroscience, Chinese Academy of Sciences Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
This study introduces a brain connectome modeling approach to personalize neurostimulation for brain disorders. Findings show network modeling can optimize treatment targets for individual Parkinson's disease patients.
Area of Science:
- Neuroscience
- Computational Biology
- Medical Engineering
Background:
- Neurostimulation modulates brain networks to treat disorders.
- Individualized effects of focal neurostimulation on brain pathways remain unclear.
- Understanding these effects is vital for optimizing patient selection and treatment parameters.
Purpose of the Study:
- To develop and validate a functional brain connectome-based modeling approach.
- To simulate the network effects of neurostimulation and quantify network topology rectification in silico.
- To identify optimal neurostimulation targets for individual patients with Parkinson's disease.
Main Methods:
- Proposed a functional brain connectome-based modeling approach.
- Simulated spreading effects of stimulating different brain regions.
- Quantified rectification of abnormal network topology in silico.
- Validated targets in local and public Parkinson's disease cohorts.
Main Results:
- Identified basal ganglia nuclei as top targets for Parkinson's disease patients.
- Globus pallidus and subthalamic nucleus were optimal for 21.1% and 19.5% of patients, respectively.
- Down-regulating functional connectivity at prioritized targets maximized therapeutic effects (up to 12%).
- Subthalamic nucleus priority correlated with motor symptom severity (Unified Parkinson's Disease Rating Scale III).
Conclusions:
- Neural network modeling holds potential for personalized brain stimulation therapy.
- Findings support the use of connectome-based modeling for optimizing neurostimulation targets.
- Further experimental validation is warranted to confirm clinical utility.
More Related Videos
12:09Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
Published on: August 5, 2014
09:33Neuronavigated Focalized Transcranial Direct Current Stimulation Administered During Functional Magnetic Resonance Imaging
Published on: November 15, 2024
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