Matthew Cieslak

This study shows that myelination and excitation-inhibition balance influence structure-function coupling in the human cortex, with myelination becoming more important in agranular regions.

This paper introduces a framework for applying network control theory to the human structural connectome to study neural dynamics and control energy, controllability, and their correlations with behavior and mental health.

The paper identifies proteins and molecular processes related to brain connectivity by integrating neuroimaging, proteomic, and gene expression data from human brain regions.

This study evaluates six compressed sensing diffusion spectrum imaging (CS-DSI) schemes, finding they provide accurate and reliable white matter structure measures with up to 80% reduced scan time compared to full DSI.

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

The paper uses network control theory to show that bottom-up signaling across the sensory-fugal axis of the human connectome requires less energy than top-down signaling.

The paper curates and provides analysis-ready diffusion MRI data for pediatric brain white-matter research, including automated quality control using a trained neural network.

CuBIDS streamlines reproducible curation of large BIDS datasets by validating metadata, managing variability, and preparing data for preprocessing pipelines.

The paper shows that intrinsic brain activity decreases along a sensorimotor-association cortical axis during human development, with reduced activity in disadvantaged youth.

The paper finds that retinal ganglion cell endowment correlates with optic tract cross section, not density, and that anatomical variations are locally correlated along the visual pathway.

ModelArray is an R package for efficient statistical analysis of fixel data, supporting linear and nonlinear models with reduced memory usage.

This study shows that transcranial magnetic stimulation (TMS) applied to the ventrolateral prefrontal cortex (vlPFC) modulates amygdala activity via cortical-subcortical connections, suggesting potential therapeutic applications for affective disorders.

The paper assesses reproducibility and variability in multi-modal, longitudinal brain networks across different modalities and tasks, finding structural networks more reliable than functional ones for individual identification.

A curated collection of processed ABCD neuroimaging derivatives plus utilities for access, sharing and analysis, letting researchers exchange derivatives they cannot share through the central archive.

FlywheelTools provides software for reproducible data curation and manipulation on the Flywheel platform, addressing challenges in converting neuroimaging data to BIDS format.

The paper models cortical brain deviations from normative neurodevelopment to predict psychiatric symptoms, finding that transdiagnostic psychopathology dimensions better predict symptoms than specific disorder measures.

The paper shows that reduced value signals in the ventromedial prefrontal cortex are linked to motivational and hedonic deficits across mood and psychotic disorders.

QSIPrep is a software platform for preprocessing diffusion MRI data that supports multiple sampling schemes and ensures reproducibility through standardized workflows and quality measures.

This paper introduces fMRIPrep, a tool for preprocessing task-based fMRI data, and demonstrates its integration into a workflow for statistical analysis.

This study shows how functional topography of brain networks changes with age and relates to executive function and brain organization in youth.

This study examines how structure-function coupling in brain networks develops during youth, finding it aligns with cortical hierarchies and supports cognitive improvements.

This study evaluates DTI, NODDI, and MAPL in youth to assess their associations with age and motion, finding that multi-shell models offer advantages for neurodevelopmental studies despite motion sensitivity.