Category: fMRI

Research approach: Utilize high-time-resolution fMRI data to extract brain state transition sequences from hidden Markov models (HMM); construct a time-series convolutional network (TCN) to decode state evolution patterns and quantify the severity of depression and cognitive function impairment. Innovation: Transforming brain network research from “static connections” to “dynamic evolution,” capturing millisecond-level abnormalities in brain state…

Research approach: Utilize high-time-resolution fMRI data to extract brain state transition sequences from hidden Markov models (HMM); construct a time-series convolutional network (TCN) to decode state evolution patterns and quantify the severity of depression and cognitive function impairment. Innovation: Transforming brain network research from “static connections” to “dynamic evolution,” capturing millisecond-level abnormalities in brain state…