精准功能磁共振成像揭示个体化脑功能网络组织

Precision functional magnetic resonance imaging (pfMRI) refers to a data acquisition strategy that collects large amounts of fMRI data in single individuals. Compared with traditional fMRI research, which collects a small amount of data for each participant and then reveals the underlying brain mechanisms of cognitive process or the shared brain function features of a specific population through the group average, the advantage of this method is that it can reveal the individual brain features, so it has been increasingly recognized and applied by researchers. So far, numerous studies have utilized this approach to systematically reveal the characteristics of individual brain functional network organization, which mainly include the following six aspects: individual differences in functional network organization, individual identification, functional localization of local brain regions, identification of individual network hubs, development and plasticity of the individual functional network, and clinical application. These research findings provide significant insights for future studies in the field of brain science. Future research should focus on exploring the relationship between the features of individual functional networks and behavioral performance, reduce the scanning time demand of the pfMRI through the improvement of data analysis and imaging technology, and attempt to introduce this method into task-state fMRI and multimodal research.