Temporal interference transcranial alternating current stimulation (TI-tACS) does not readily enable synchronous cross-plane modulation of multiple brain regions in three-dimensional space. To address this challenge, this study proposes a three-dimensional (3D) cross-plane multi-target simultaneous stimulation strategy based on electrode spatial topology. Without increasing the number of electrode groups, the proposed strategy enabled cooperative target formation on multiple planes. Predictable multi-target shifts were achieved by adjusting the current-amplitude ratios across channels. Simulations showed that the strategy stably generated multi-target simultaneous stimulation and exhibited good independent controllability, as evaluated by off-target displacement. A multichannel TI-tACS stimulator was developed and was validated in a saline phantom experiment, where the target formation and shift trends agreed with the simulation results. This work provides an engineering reference for electrode configuration and parameter design for 3D cross-plane multi-target neuromodulation.
Objective To explore the pathogenesis of epilepsy (EP) and predict traditional Chinese medicine (TCM) prescriptions based on the concept of reverse network pharmacology. MethodsDifferentially expressed genes (DEGs) in EP were screened from the Gene Expression Omnibus (GEO) database. A weighted gene co-expression network analysis (WGCNA) was constructed to identify genes with the highest expression variability, which were then compared with EP target genes obtained from databases including GeneCards, Online Mendelian Inheritance in Man (OMIM), and Therapeutic Target Database (TTD). Core targets were screened using the STRING platform. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to elucidate the pathogenesis and signaling pathways of EP. After converting core targets using the UniProt database, active ingredients and corresponding TCM herbs were reversely collected from relevant databases. Cytoscape software was used for visualization and construction of the core target-active ingredient-TCM herb network. Molecular docking verification between core targets and core ingredients was conducted using CB-DOCK2 software, and TCM herbs with high degree values were finally determined. ResultsA total of 131 EP targets were obtained, and 30 key targets were selected based on degree values. GO enrichment analysis yielded 30 main entries, and KEGG enrichment analysis identified 10 signaling pathways. Seven blood-absorbable ingredients and 20 TCM herbs were matched from the Comparative Toxicogenomics Database (CTD) based on degree values. Molecular docking verification was performed between 6 core target proteins and 7 core ingredients with high degree values, and the results were stable and favorable. A total of 20 TCM herbs were screened out, including Corydalis Rhizoma, Daturae Flos, Bruceae Fructus, and Corydalis Decumbentis Rhizoma. ConclusionThe application of reverse network pharmacology thinking and molecular docking technology to predict targets, pathways, ingredients, and TCM prescriptions for epilepsy provides new ideas and theoretical basis for clinical treatment and research.