Knowledge Graph and Large Language Model-Based Analysis of fMRI Brain Functional Neuroimaging Research
A multimodal neuroimaging knowledge graph from 1838 peer-reviewed studies spanning fMRI, EEG, fNIRS, and PET is constructed and it is demonstrated that LLM-augmented knowledge graphs can systematically uncover latent structural organization relevant to multimodal integration and biomarker discovery.