Sarah C McEwen

This study shows that intrinsic connectivity networks in fMRI are continuously present and overlapping, not just during discrete events, and that analyzing all time points provides more comprehensive insights into functional patterns and schizophrenia symptoms.

This paper introduces msICA to analyze dynamic functional interactions across spatial scales in schizophrenia, finding sex-specific differences in connectivity patterns and their association with symptom scores.

This paper introduces a method to fuse functional and structural MRI data by integrating temporal information, identifying linked variability and covariation in schizophrenia.

This paper introduces the spatial chronnectome, a method to analyze dynamic spatiotemporal brain network interactions, revealing transient network changes and cognitive relevance in schizophrenia.

The paper examines longitudinal changes in resting-state brain networks in individuals at clinical high risk for psychosis and finds reduced network efficiency and increased diversity in those who later develop psychosis.

This paper introduces a hierarchical approach to analyze spatial and temporal dynamics in brain function, revealing new insights into the chronnectome and identifying changes in schizophrenia patients.

The paper assesses the reliability of functional connectomic measures across different scanners, sessions, and paradigms, finding fair to excellent reliability and demonstrating achievable statistical power in multisite studies.