This invention discloses a method for detecting neurovascular
coupling abnormalities and assessing
disease progression in
schizophrenia, belonging to the field of medical
image processing and
brain function analysis technology. It provides a method for estimating the hemodynamic response function (HRF) based on resting-state fMRI, used to quantitatively characterize neurovascular
coupling (NVC) abnormalities in
schizophrenia and to depict the dynamic changes in the
disease as it progresses. By combining multi-center, large-sample resting-state fMRI data, a
voxel-level
estimation method for HRF using blind-source
deconvolution, a
disease progression sliding window grouping strategy, structural /
functional imaging indicators, and clinical symptom scales, this invention constructs a framework for analyzing
schizophrenia progression in cross-sectional, large-sample studies, replacing longitudinal studies. This framework can identify temporal patterns of
brain tissue, neurovascular
coupling, and
functional impairment during
disease progression, providing a new technical path for exploring the degenerative
pathological mechanisms of schizophrenia.