Vaibhavi S. Itkyal

The paper examines changes in white matter functional connectivity across Alzheimer's disease stages using resting-state fMRI data from ADNI, finding early WM-GM dysconnectivity in MCI.

This study evaluates how scan duration, TR, and frequency bands affect the reliability of functional connectivity patterns derived from rs-fMRI using QPPs and cPCA.

This study uses QPP and cPCA to analyze spatiotemporal network changes in AD progression, identifying early disruptions in specific brain networks and showing their potential as biomarkers.

The paper introduces a framework using SHAP to identify FNC biomarkers distinguishing between schizophrenia patients and controls, and young vs. old adults with high accuracy.

The paper presents a WM intrinsic connectivity network template derived from 100,000 fMRI scans, showing distinct WM and GM networks with task-related activity and differences in schizophrenia.