Brain functional connectivity-based prediction of vagus nerve stimulation efficacy in pediatric pharmacoresistant epilepsy.
Hao ChenYi WangTaoyun JiYuwu JiangXiao-Hua ZhouPublished in: CNS neuroscience & therapeutics (2023)
This study provides the first treatment response prediction model for VNS using scalp EEG data with ictal recordings and offers new insights into its mechanism of action. Our results suggest that brain functional connectivity features can help predict therapeutic response to VNS therapy. With further validation, our model could facilitate the selection of targeted pediatric patients and help avoid risky and costly procedures for patients who are unlikely to benefit from VNS therapy.
Keyphrases
- resting state
- functional connectivity
- end stage renal disease
- ejection fraction
- chronic kidney disease
- newly diagnosed
- prognostic factors
- peritoneal dialysis
- white matter
- stem cells
- big data
- electronic health record
- multiple sclerosis
- patient reported outcomes
- cell therapy
- artificial intelligence
- data analysis
- smoking cessation