无创电刺激调控大脑 z-bio 2025-02-13 325

　　The frontal lobe tACS regulates intracranial neural oscillatory activity

　　Under the support of the National Natural Science Foundation of China (approval number: T2394535, T2394533), researcher Yuan Tifei and professor Xu Jiwen of Shanghai Jiaotong University, associate researcher Liu Quanying of South University of Science and Technology, and researcher Wei Pengfei of Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences have cooperated to make progress in the research of non-invasive electrical stimulation specific regulation of brain function. The related achievement is titled "Frequency specific and state dependent neural responses to brain stimulation" and was published in Molecular Psychiatry on January 20, 2025. The article link is: https://www.nature.com/articles/s41380-025-02892-7 .

　　Neuromodulation (brain stimulation) technology can regulate the transmission and processing of electrical signals in the brain through different types of physical fields, and produce sustained effects. It has become the mainstream non pharmacological treatment for clinical psychiatric disorders. However, the regulatory effect of non-invasive electrical stimulation on deep brain regions is still unclear, which is an important bottleneck restricting the development and precise application of clinical neural regulation technology. The research team analyzed the response patterns of deep brain regions to external physical fields by constructing a research system that combines non-invasive electrical stimulation with synchronous acquisition of intracranial neurophysiological signals; Calculated the cortical electric field simulation model when applying non-invasive alternating electrical stimulation (tACS) to areas such as the prefrontal cortex; Revealed the specific filtering pattern of the brain in receiving and transmitting external physical field stimuli. This study provides the first evidence that non-invasive electrical stimulation can accurately regulate the function of deep brain regions, providing theoretical support for the development of clinical precision diagnosis and treatment plans for brain diseases such as Alzheimer's disease and depression.