EEG microstates analysis after TMS in patients with subacute stroke during the resting state.
Hongmei ZhangXue YangLiqing YaoQian LiuYihuan LuXueting ChenTianling WangPublished in: Cerebral cortex (New York, N.Y. : 1991) (2024)
To investigate whether intermittent theta burst stimulation over the cerebellum induces changes in resting-state electroencephalography microstates in patients with subacute stroke and its correlation with cognitive and emotional function. Twenty-four stroke patients and 17 healthy controls were included in this study. Patients and healthy controls were assessed at baseline, including resting-state electroencephalography and neuropsychological scales. Fifteen patients received lateral cerebellar intermittent theta burst stimulation as well as routine rehabilitation training (intermittent theta burst stimulation-RRT group), whereas 9 patients received only conventional rehabilitation training (routine rehabilitation training group). After 2 wk, baseline data were recorded again in both groups. Stroke patients exhibited reduced parameters in microstate D and increased parameters in microstate C compared with healthy controls. However, after the administration of intermittent theta burst stimulation over the lateral cerebellum, significant alterations were observed in the majority of metrics for both microstates D and C. Lateral cerebellar intermittent theta burst stimulation combined with conventional rehabilitation has a stronger tendency to improve emotional and cognitive function in patients with subacute stroke than conventional rehabilitation. The improvement of mood and cognitive function was significantly associated with microstates C and D. We identified electroencephalography microstate spatiotemporal dynamics associated with clinical improvement following a course of intermittent theta burst stimulation therapy.
Keyphrases
- resting state
- functional connectivity
- transcranial magnetic stimulation
- end stage renal disease
- high frequency
- working memory
- chronic kidney disease
- ejection fraction
- newly diagnosed
- high intensity
- peritoneal dialysis
- atrial fibrillation
- minimally invasive
- prognostic factors
- machine learning
- bipolar disorder
- prefrontal cortex
- mesenchymal stem cells
- bone marrow
- artificial intelligence
- brain injury
- depressive symptoms
- deep learning
- big data
- cell therapy