Topic: Functional Connectivity Curve Detection model

Patients with Alzheimer's disease (AD) often display disrupted resting-state brain functional connectivity compared to healthy individuals, as observed in resting-state fMRI studies. Understanding which brain regions contribute to this disruption is vital for understanding disease progression.We propose the Functional Connectivity Curve Detection model (FunCurvDtx) to identify key brain regions for classifying AD versus normal subjects based on functional connectivity. FunCurvDtx combines functional principal component analysis (fPCA) and group penalized logistic regression to analyze function