Publications by authors named "Yangjiayi Mu"

The cortical development of our brains is in a hierarchical manner and promotes the emergence of large-scale functional hierarchy. However, under interindividual heterogenicity, how the spatiotemporal features of brain networks reflect brain development and mental health remains unclear. Here we collect both resting-state electroencephalography and functional magnetic resonance imaging data from the Child Mind Institute Biobank to demonstrate that during brain growth, the global dynamic patterns of brain states become more active and the dominant networks shift from sensory to higher-level networks; the individual functional network patterns become more similar to that of adults and their spatial coupling tends to be invariable.

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Article Synopsis
  • Endovascular treatment for aneurysmal subarachnoid hemorrhage (aSAH) typically leads to high rates of death and permanent disability, with unclear factors influencing prognosis.
  • The study aimed to create a precise prediction model for aSAH patients post-treatment, analyzing the interplay between clinical severity and aneurysm features.
  • Results showed that a random forest model is the most effective for predicting outcomes, particularly emphasizing clinical severity for overall patients and aneurysm characteristics for those in better initial condition.
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