Reorganization of Dynamic Network in Stroke Patients and Its Potential for Predicting Motor Recovery.

The investigation of brain functional network dynamics offers a promising approach to understanding network reorganization poststroke. This study aims to explore the dynamic network configurations associated with motor recovery in stroke patients and assess their predictive potential using multilayer network analysis. Resting-state functional magnetic resonance imaging data were collected from patients with subacute stroke within 2 weeks of onset and from matched healthy controls (HCs).

Integration Analysis of miRNA Circulating Expression Following Cerebellar Transcranial Direct Current Stimulation in Patients with Ischemic Stroke.

The aim of this study was to explore the molecular mechanisms underlying cerebellar transcranial direct current stimulation (ctDCS) as a rehabilitation intervention for patients with ischemic stroke, focusing on the role of microRNAs (miRNAs). Whole-transcriptome sequencing was employed to obtain circulating expression profiles of miRNAs, long non-coding RNAs (lncRNAs), circular RNAs (circRNAs), and mRNAs in patients with ischemic stroke before and after 3-week ctDCS. miRanda software was used to predict the target genes of miRNAs, while Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were conducted to identify biological functions and signaling pathways.