Golia Shafiei

The paper examines sex differences in functional brain connectivity across youth, finding that males show greater network integration while females show greater network segregation along the sensorimotor-association axis.

This study examines insula functional connectivity development across 562 individuals, showing spatially heterogeneous changes aligned with an antero-posterior axis.

Resting-state fMRI intrinsic timescale lengthens with age in association, not sensorimotor, cortex during ages 8-22, following the sensorimotor-association axis in two cohorts; it is largely age-stable in young adults.

This study links human brain functional connectivity to neurotransmitter systems using resting-state fMRI and MEG across multiple cohorts, showing consistent patterns and clinical relevance.

This paper introduces brain age intervals (BAIs) as a method to quantify uncertainty in brain age predictions using conformal prediction, showing stable coverage and highlighting the need for larger samples.

The paper introduces netneurotools, a Python toolkit developed by trainees to streamline brain imaging workflows by integrating diverse data types and addressing interoperability challenges.

The paper shows that white matter tracts are positioned within the cortical hierarchy to support specific cognitive functions and connect regions with greater cognitive diversity.

The paper introduces a longitudinal data resource combining multimodal imaging and cognitive phenotyping to study brain development and EF variation in adolescents.

This study examines how childhood adversity affects structure-function coupling in corticolimbic circuits and its role in buffering internalizing symptoms during development.

The paper presents a curated dataset of processed diffusion MRI data from the ABCD Study, showing that specific diffusion metrics are sensitive to adolescent white matter development and robust to image quality variation.

This study shows how white matter myelin and tract caliber influence large-scale brain communication by shaping distinct functional connectivity patterns.

The paper identifies a latent variable linking resting-state functional connectivity and psychopathology in children and adolescents, revealing a neurotypical-neurodivergent continuum.

The paper maps five energy metabolic pathways in the human brain using whole-brain transcriptomics and finds developmental and spatial differences between energy-producing and anabolic pathways.

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 paper introduces Feature Similarity (FS), a method to measure brain region interactions, showing it captures functional organization and task-specific dynamics better than traditional methods.

The paper introduces Reproducible Brain Charts (RBC), an open data resource integrating brain development data from 6,346 youth, showing the benefits of harmonized phenotypes and reproducible processing for studying psychopathology.

This study examines how network structure and local biological features influence spatial patterns of cortical atrophy in ALS using the CALSNIC dataset.

This study investigates how brain network dynamics and regional vulnerability influence tau propagation and load in Alzheimer's disease using multi-scale simulations.

The paper identifies robust sex differences in personalized functional brain network topography in youth, linked to X-linked genes and brain regions involved in psychiatric disorders.

The paper introduces a computational engine to systematically discover cause-effect relationships between brain structure and function using in-silico brain models.

This study profiles neural dynamics across species during anaesthesia, finding conserved dynamical changes and linking them to molecular mechanisms.

This study evaluates head motion correction methods in diffusion MRI, showing both Eddy and SHORELine perform well but are affected by denoising and sampling schemes.

XCP-D provides a standardized, reproducible post-processing pipeline for fMRI data, supporting multiple pre-processing pipelines and BIDS best practices.

This study maps neurophysiological dynamics to cortical micro-architecture, finding spatial correlations between brain activity patterns and microstructural features.

The paper shows that the frontoparietal control network's topographic organization supports flexible behavior by switching between unified and segregated functional states based on memory needs.

The paper investigates how functional connectivity patterns in brain networks predict symptoms of borderline personality disorder in adolescents and young adults using fMRI data.

The paper quantifies structure-function coupling in brain networks using diffusion MRI, MEG, and fMRI, finding heterogeneity across regions and frequency bands.

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

This paper integrates seven multimodal brain connectivity profiles to uncover universal organizational principles and maps them onto brain structure and function.

Neurotransmitter receptor/transporter PET maps (19 targets, 1239 healthy participants) align with connectomes, explain MEG power, and track cognitive gradients and cortical thinning in 13 disorders.