Sarah M. Weinstein

This study shows that α-tACS over VLPFC modulates pupil responses and corticostriatal connectivity during reward processing.

This study identifies two axes of white matter development in human cortico-cortical tracts using diffusion MRI across three datasets, revealing non-uniform maturation patterns.

This study examines changes in brain connectivity and neurovascular dynamics during dexmedetomidine-induced unconsciousness and recovery, finding widespread connectivity decreases and cerebellum-specific increases in structure-function coupling.

The paper introduces CEIDR, a method to test individual differences in intermodal brain coupling, and demonstrates its application in neurodevelopmental studies.

The paper introduces NEST, a framework for testing brain-phenotype associations within functional networks, applied to neurodevelopmental imaging data.

This paper introduces a distance-based regression method for multimodal data that can handle different data types and dimensionalities, showing its effectiveness through simulations and real-world studies.

This study tracks cortical activity propagations in youth, finding increased top-down propagations with cognitive control demands and development.

The paper introduces CLEAN-R, a method to test and localize intermodal correspondence in neuroimaging data, demonstrating high statistical power and nominal type I error levels.

This paper introduces a method to analyze intermodal coupling between multiple brain imaging modalities and applies it to study neurodevelopmental patterns in adolescents.

The paper analyzes multi-scale functional brain networks in youths to identify developmental patterns of network re-organization and their cognitive implications.

This paper introduces PeDecURe, a method to adjust for nuisance variables in multivariate pattern analysis, showing it improves accuracy and generalizability in neuroimaging studies.

The paper introduces a permutation-based test to assess intermodal correspondence in neuroimaging data, showing it effectively detects known relationships and is conservative when none are expected.