Functional Connectivity Changes in Multiple-Frequency Bands in Acute Basal Ganglia Ischemic Stroke Patients: A Machine Learning Approach.
Jie LiCheng LuluZhijian LiangJian ZhangDong-Qiang LiuZhijian LiangHuayun LiPublished in: Neural plasticity (2022)
Acute BGIS patients had frequency-specific alterations in FC; SVM is a promising method for exploring these frequency-dependent FC alterations. The abnormal brain regions might be potential targets for future researchers in the rehabilitation and treatment of stroke patients.
Keyphrases
- functional connectivity
- resting state
- liver failure
- machine learning
- end stage renal disease
- respiratory failure
- newly diagnosed
- ejection fraction
- chronic kidney disease
- aortic dissection
- drug induced
- peritoneal dialysis
- white matter
- current status
- deep learning
- cerebral ischemia
- risk assessment
- subarachnoid hemorrhage
- smoking cessation