Jeggan Tiego

This study evaluates denoising strategies for resting-state fMRI, finding that multi-echo pipelines generally outperform single-echo ones but no single method is optimal for all tasks.

The paper examines white matter volume deviations in psychiatric disorders using normative modeling, finding heterogeneous patterns with some aggregation in autism and schizophrenia.

This paper develops a geometrically constrained framework to map brain regions across species and shows geometry influences regional organization through patterning molecules.

The paper examines task-related changes in aperiodic EEG activity and finds they correlate with working memory capacity independently of ERPs and alpha oscillations.

This study evaluates how different diffusion MRI processing pipelines affect the identification of connectome hubs in humans, finding significant variability in hub location and connectivity based on processing choices.

This study identifies a robust neural network associated with error awareness using a large fMRI dataset from a Go/No-Go task.

This study identifies genetic influences on hub connectivity in the human connectome using diffusion-weighted imaging in twins and transcriptomic data.

This study evaluates how different preprocessing steps affect motion-related contamination in diffusion MRI structural connectivity estimates, finding that specific motion correction methods significantly reduce cross-subject correlations between motion and connectivity strength.

The paper examines how impulsivity and compulsivity dimensions in OCD and GD correlate with CSTC circuit connectivity, finding continuous distributions and shared connectivity patterns across disorders.

This study identifies a bi-factor model to fractionate impulsive and compulsive problem behaviors in young adults and finds distinct antecedents for each phenotype.

The paper examines the relationship between functional connectivity of corticostriatal circuits and subclinical psychosis-like experiences in a community sample.